lov-gen-project-name
根据项目用途提供可用于文件夹与仓库的名称及定位说明。支持明确输入与结果回读。Use to generate a project name
Install
npx skills add https://github.com/lovstudio/skills/tree/main/skills/gen-project-name
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install lovstudio-skills@llmmart
git clone https://github.com/lovstudio/skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole lovstudio/skills collection as a plugin from our marketplace. Git is the plain clone.
README
项目起名师 · Project Namer
根据项目用途提供可用于文件夹与仓库的名称及定位说明。
安装
npx skills add lov-gen-project-name -g -y
使用
- 根据项目用途提供可用于文件夹与仓库的名称及定位说明。
- Generate a project name from its purpose.
支持自然语言调用,具体执行步骤与边界见 SKILL.md。分析、预览和实际修改分开处理。
配置与依赖
读取 共享 Profile;项目路径、输出目录与品牌来自当前请求或用户配置。 业务工具和目标系统依赖见工作流;公开文案使用 lov-branding-consistency 审校。
质量与案例
python3 scripts/validate_skill.py .
案例 记录真实迁移输入和输出,仅证明所声明的验收范围。 Skill Card 与 定价依据 说明使用边界;业务运行结果须逐次回读。
License
MIT
Skill manifest
项目起名师 · Project Namer
根据项目用途提供可用于文件夹与仓库的名称及定位说明。
Triggers
Activate when
- “根据项目用途提供可用于文件夹与仓库的名称及定位说明。”
- “Generate a project name from its purpose.”
Do not activate when
- 只是查询本 Skill 的说明,或请求与上述结果无关的任务;不执行实际业务操作。
- 用户仅要预览或审查时,不进入修改、提交或发布分支。
Execution boundary
自然语言请求即可触发;无需旧 slash 路径、参数插值或指定助手。明确解析当前请求中的 项目、目标文件、选项与输出位置;用当前宿主实际提供的文件、搜索、CLI 和浏览器能力。 项目依赖版本与外部 API 在执行时核实,不能假设示例是现行配置。随包脚本从 Skill 根解析, 业务文件从目标项目根解析。先读当前状态,保护已有未提交内容与其他任务的暂存区。 分析、预览请求保持只读;修改、提交、推送、部署和发布各依当前请求的明确范围执行。 不绕过保护、自动发送消息、强制结束用户进程或抢前台。失败保留可诊断原始错误。
Workflow
解析用途、受众、语言与命名限制;需求为空时只问项目做什么。
生成三组不同命名方向,每组给显示名、ASCII slug 与一句解释,避免只堆近义词。
slug 使用小写字母、数字与连字符或项目允许的下划线,不以点开头,长度不超过 50 字符;检查目标文件系统保留名及现有目录冲突。
区分产品名、包名和仓库名。未实际查询时不宣称域名、商标或仓库可用;此 Skill 不自动改名或购买域名。
Composition
执行前读取 能力组合,按明确制品交接相邻能力。
Runtime context (shared)
运行前读取本包 skill.yaml 与 Profile 合同。优先级为当前请求、
项目上下文、本 Skill records、共享 preferences、brand/user Profile、安全默认值。
只读取声明字段;没有专用运行时的宿主可使用 scripts/profile_store.py 读取共享 Profile。
配置缺失只问影响结果的一个问题。用户明确要求长期保存的值通过该脚本原子写入,
报告实际路径;不保存推断、凭据或其他任务的资料。
Files (skills)
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cases
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cases.json 653 B
[ { "title": "历史命令通用化迁移验证", "description": "真实迁移请求的结构与可发现性验收;业务系统操作没有在本案例执行。", "input": { "source": "历史命令或本地已迁移 Skill", "sha256": "57637c1809c8e9dcf191706bd60fbf82bec4d91cc1ac18ff9ead390b6565e889" }, "prompt": "将本地所有历史 slash command 逐一升级,并全部同步官网。", "output": { "artifact": "SKILL.md", "result": "显式输入、自然语言触发、跨宿主执行边界及共享 Profile 合同", "limitation": "该案例不证明外部业务写入成功" } } ]
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references
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skill-composition.md 855 B
# Skill Group Composition ## Nearby Skills Inspected - lov-skill-creator:命令迁移与通用结构;不拥有本业务结果。 - lov-branding-consistency:用户可见文案审校。 - lov-skill-publisher:已验证 Skill 的官网分发。 ## Atomic Handoffs 本 Skill 接收请求与项目事实,交付根据项目用途提供可用于文件夹与仓库的名称及定位说明。文案审校只消费公开文本;发布器只消费校验后的 Skill 源,不接管业务执行。 ## Overlap Decisions 旧命令按实际输入输出映射到本真源;不新增另一份重复业务实现。其他历史能力在本批次逐项比较,只有用户要求相邻结果时交接。 ## Composition Decision Single Skill:围绕同一结果的预览、执行和验证共享上下文;不把依赖工具或宿主适配误拆成 Kit。 -
user-profile.md 2.7 KB
# User Profile contract Every Skill created by Skill Creator declares `user-profile/v1` in `skill.yaml`. The contract connects independent sessions to one user-owned JSON Profile while keeping the Skill source portable across users and brands. ## Shared shape The host supplies the Profile through `SKILL_PROFILE_PATH` (or the runtime's configured profile path). The stable shared scopes are: - `user`: user identity, language, timezone, and other personal working defaults. - `brand`: public brand facts, site, logo, tone, profile, and design guidance. - `workspace`: project roots and output locations. - `preferences`: shared preference values when the host stores them in the Profile. - `skills.<skill_id>.profile`: Skill-specific defaults. - `skills.<skill_id>.records`: durable decisions and preferences learned from direct user statements for this Skill. The Profile may also use the runtime's canonical `identity` fields. Manifest field aliases bridge `identity.*` and the portable `user.*` / `brand.*` names. ## Read on every run 1. Read the current request and project context. 2. Read the shared Profile and the `skills.<skill_id>` namespace. 3. Resolve values in this order: current request, project context, Skill records, shared preferences, shared user/brand Profile, safe defaults. 4. Keep `profile_scope` and field provenance available for the final result. Do not copy resolved personal paths, brand values, or private records into the committed Skill source. ## Persist directly stated values When the user explicitly gives a value meant to survive later sessions, save it immediately after the user statement and report the canonical path: ```bash python3 scripts/profile_store.py record \ --skill-id lov-example \ --path records.subtitle_level \ --value '"cet4"' \ --confirm ``` For shared facts, use `--path brand.<field>` or `--path user.<field>`. The script writes JSON atomically, preserves unrelated Profile data, increments a numeric Profile revision when present, and never echoes the stored value. Inferred information, credentials, tokens, cookies, and secret-like fields stay out of durable records. If the user has not stated that a value should persist, keep it in the current request context. ## Read the connected context ```bash python3 scripts/profile_store.py read \ --skill-id lov-example \ --pretty ``` The result contains `user`, `brand`, `workspace`, `preferences`, `skill`, and `records` scopes. A host using `skill-runtime/v1` also returns the same binding as `profile_scope` and `profile_contract`. ## Compatibility `--user-config` remains accepted by the Creator as a compatibility flag for old invocations. The Profile contract is now always generated; users do not choose an initialization mode.
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scripts
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profile_store.py 8.3 KB
#!/usr/bin/env python3 """Read and persist a Skill's user-owned profile context. The command keeps shared identity and brand facts in the profile root while putting Skill-specific durable records under ``skills.<skill_id>.records``. Writes require an explicit confirmation flag and use an atomic replacement. """ from __future__ import annotations import argparse import json import os import re import sys import tempfile from pathlib import Path from typing import Any, Iterable USER_PROFILE_SCHEMA = "user-profile/v1" SKILL_ID_RE = re.compile(r"^[a-z0-9]+(?:-[a-z0-9]+)*$") SAFE_ROOTS = {"user", "brand", "workspace", "preferences"} SENSITIVE_PARTS = {"token", "secret", "password", "credential", "cookie", "api_key", "apikey"} def config_dir() -> Path: configured = os.environ.get("SKILLS_CONFIG_DIR") if configured: return Path(os.path.expandvars(configured)).expanduser() xdg = os.environ.get("XDG_CONFIG_HOME") if xdg: return Path(os.path.expandvars(xdg)).expanduser() / "agent-skills" return Path.home() / ".config" / "agent-skills" def profile_path(explicit: Path | None = None) -> Path: if explicit: return explicit.expanduser() configured = ( os.environ.get("SKILL_PROFILE_PATH") or os.environ.get("SKILLS_PROFILE_PATH") ) if configured: return Path(os.path.expandvars(configured)).expanduser() candidates = ( Path.home() / ".lovstudio" / "skills" / "profile.json", Path.home() / ".skill-publisher" / "skills" / "profile.json", config_dir() / "profile.json", ) return next((candidate for candidate in candidates if candidate.exists()), candidates[-1]) def read_profile(path: Path) -> dict[str, Any]: if not path.exists(): return {} try: value = json.loads(path.read_text(encoding="utf-8")) except (OSError, json.JSONDecodeError) as exc: raise ValueError(f"profile cannot be read: {path}: {exc}") from exc if not isinstance(value, dict): raise ValueError("profile root must be an object") return value def profile_skeleton(skill_id: str) -> dict[str, Any]: return { "schema": "skill-profile/v1", "profile_id": f"profile-{skill_id}", "revision": 1, "status": "draft", "identity": {}, "purpose": {}, "brand": {}, "user": {}, "workspace": {}, "skills": {}, "extensions": {}, } def atomic_write(path: Path, value: dict[str, Any]) -> None: path.parent.mkdir(parents=True, exist_ok=True) mode = 0o600 if path.exists(): mode = path.stat().st_mode & 0o777 temporary_name: str | None = None try: with tempfile.NamedTemporaryFile( "w", encoding="utf-8", dir=path.parent, prefix=f".{path.name}.", suffix=".tmp", delete=False, ) as handle: temporary_name = handle.name handle.write(json.dumps(value, ensure_ascii=False, indent=2) + "\n") handle.flush() os.fsync(handle.fileno()) os.chmod(temporary_name, mode) os.replace(temporary_name, path) finally: if temporary_name: temporary = Path(temporary_name) if temporary.exists(): temporary.unlink() def set_path(root: dict[str, Any], parts: list[str], value: Any) -> None: current: dict[str, Any] = root for part in parts[:-1]: child = current.get(part) if not isinstance(child, dict): child = {} current[part] = child current = child current[parts[-1]] = value def target_parts(skill_id: str, requested_path: str) -> tuple[list[str], str]: if not SKILL_ID_RE.fullmatch(skill_id): raise ValueError("skill_id must be kebab-case") path = requested_path.strip().strip(".") if not path: raise ValueError("path is required") parts = [part for part in path.split(".") if part] if any(not re.fullmatch(r"[A-Za-z0-9_-]+", part) for part in parts): raise ValueError("path contains an invalid segment") if any(part.casefold() in SENSITIVE_PARTS for part in parts): raise ValueError("profile records do not accept secret-like fields") if parts[0] == "records": target = ["skills", skill_id, "records", *parts[1:]] return target, ".".join(target) if parts[0] == "profile": target = ["skills", skill_id, "profile", *parts[1:]] return target, ".".join(target) if parts[:3] == ["skills", skill_id, "records"]: return parts, ".".join(parts) if parts[:3] == ["skills", skill_id, "profile"]: return parts, ".".join(parts) if parts[0] in SAFE_ROOTS: return parts, ".".join(parts) expected = f"records.<field> or one of: {', '.join(sorted(SAFE_ROOTS))}.<field>" raise ValueError(f"path must use {expected}") def parse_value(raw: str) -> Any: try: return json.loads(raw) except json.JSONDecodeError: return raw def read_command(args: argparse.Namespace) -> dict[str, Any]: path = profile_path(args.profile) profile = read_profile(path) skills = profile.get("skills", {}) if not isinstance(skills, dict): skills = {} skill = skills.get(args.skill_id, {}) if not isinstance(skill, dict): skill = {} user = profile.get("user") if not isinstance(user, dict) or not user: user = profile.get("identity", {}) if not isinstance(user, dict): user = {} brand = profile.get("brand", {}) if not isinstance(brand, dict): brand = {} workspace = profile.get("workspace", {}) if not isinstance(workspace, dict): workspace = {} preferences = profile.get("preferences", {}) if not isinstance(preferences, dict): preferences = {} records = skill.get("records", {}) if not isinstance(records, dict): records = {} return { "status": "ready", "schema": USER_PROFILE_SCHEMA, "skill_id": args.skill_id, "profile_path": str(path), "user": user, "brand": brand, "workspace": workspace, "preferences": preferences, "skill": skill, "records": records, } def record_command(args: argparse.Namespace) -> dict[str, Any]: if not args.confirm: raise PermissionError("record requires --confirm after the user has stated the value") parts, canonical_path = target_parts(args.skill_id, args.path) path = profile_path(args.profile) profile = read_profile(path) if not profile: profile = profile_skeleton(args.skill_id) set_path(profile, parts, parse_value(args.value)) revision = profile.get("revision") if isinstance(revision, int) and not isinstance(revision, bool): profile["revision"] = revision + 1 atomic_write(path, profile) return { "status": "saved", "schema": USER_PROFILE_SCHEMA, "skill_id": args.skill_id, "profile_path": str(path), "path": canonical_path, } def main() -> int: parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("--profile", type=Path, default=None, help="Shared profile JSON path") subparsers = parser.add_subparsers(dest="command", required=True) read_parser = subparsers.add_parser("read", help="Read shared and Skill-specific profile context") read_parser.add_argument("--skill-id", required=True) read_parser.add_argument("--pretty", action="store_true") record_parser = subparsers.add_parser("record", help="Persist a user-stated profile value") record_parser.add_argument("--skill-id", required=True) record_parser.add_argument("--path", required=True, help="records.<field>, brand.<field>, or user.<field>") record_parser.add_argument("--value", required=True) record_parser.add_argument("--confirm", action="store_true") args = parser.parse_args() try: result = read_command(args) if args.command == "read" else record_command(args) except (OSError, PermissionError, ValueError) as exc: print(json.dumps({"status": "error", "error": str(exc)}, ensure_ascii=False), file=sys.stderr) return 2 indent = 2 if getattr(args, "pretty", False) else None print(json.dumps(result, ensure_ascii=False, indent=indent, sort_keys=bool(indent))) return 0 if __name__ == "__main__": raise SystemExit(main()) -
validate_skill.py 26.2 KB
#!/usr/bin/env python3 """Validate a portable local Skill Publisher Skill source directory.""" from __future__ import annotations import argparse import json import re import sys from pathlib import Path from typing import Any, Iterable try: import yaml except ImportError: print( "ERROR: PyYAML is required. Install it with: python3 -m pip install PyYAML", file=sys.stderr, ) raise SystemExit(2) FRONTMATTER_KEYS = { "name", "description", "license", "compatibility", "allowed-tools", "depends_on", "metadata", } TEXT_SUFFIXES = {".md", ".json", ".yaml", ".yml", ".txt", ".svg", ".py"} JUNK_NAMES = {"__pycache__", ".DS_Store"} JUNK_SUFFIXES = {".pyc", ".pyo"} SKIP_DIRS = {".git", "dist", ".venv", "venv", "node_modules"} SEMVER_RE = re.compile(r"^\d+\.\d+\.\d+(?:-[0-9A-Za-z.-]+)?$") NAME_RE = re.compile(r"^[a-z0-9]+(?:-[a-z0-9]+)*$") MARKDOWN_LINK_RE = re.compile(r"!?\[[^\]]*]\(([^)]+)\)") SKILL_PATH_RE = re.compile(r"\$(SKILL_DIR|KIT_DIR)/([A-Za-z0-9_./-]+)") CARD_STANDARD = "lovstudio/skill-card/v1" PRICING_CARD_SCHEMA = "lovstudio/pricing-card/v1" MANIFEST_SCHEMA = "skill-manifest/v1" RUNTIME_VERSION = "skill-runtime/v1" PROFILE_SCHEMA = "user-profile/v1" CONTENT_CLASSES = { "authored-prose", "microcopy", "verbatim", "deterministic-output", } class ValidationFailure(Exception): """Raised when source metadata cannot be parsed.""" def read_text(path: Path) -> str: return path.read_text(encoding="utf-8") def compact_text(value: Any) -> str: return re.sub(r"\s+", " ", value).strip() if isinstance(value, str) else "" def split_frontmatter(path: Path) -> tuple[dict[str, Any], str]: text = read_text(path) if not text.startswith("---\n"): raise ValidationFailure(f"{path}: missing YAML frontmatter") marker = text.find("\n---\n", 4) if marker < 0: raise ValidationFailure(f"{path}: frontmatter is not closed") try: data = yaml.safe_load(text[4:marker]) except yaml.YAMLError as exc: raise ValidationFailure( f"{path}: standard YAML parser rejected frontmatter: {exc}" ) from exc if not isinstance(data, dict): raise ValidationFailure(f"{path}: frontmatter must be a mapping") return data, text[marker + 5 :] def iter_files(root: Path) -> Iterable[Path]: for path in root.rglob("*"): if any(part in SKIP_DIRS for part in path.relative_to(root).parts): continue if path.is_file(): yield path def is_relative_to(path: Path, parent: Path) -> bool: try: path.relative_to(parent) return True except ValueError: return False def validate_skill_file(path: Path, errors: list[str]) -> dict[str, Any] | None: try: data, body = split_frontmatter(path) except ValidationFailure as exc: errors.append(str(exc)) return None unexpected = sorted(set(data) - FRONTMATTER_KEYS) if unexpected: errors.append(f"{path}: unsupported frontmatter keys: {', '.join(unexpected)}") name = compact_text(data.get("name")) if not NAME_RE.fullmatch(name) or len(name) > 64: errors.append(f"{path}: name must be kebab-case and at most 64 characters") description = compact_text(data.get("description")) if not 50 <= len(description) <= 200: errors.append( f"{path}: description must contain 50-200 characters " f"(found {len(description)})" ) compatibility = compact_text(data.get("compatibility")) if not compatibility: errors.append(f"{path}: compatibility is required at the top level") depends_on = data.get("depends_on", []) if isinstance(depends_on, str): depends_on = [depends_on] if not isinstance(depends_on, list) or not all( isinstance(item, str) and NAME_RE.fullmatch(item) for item in depends_on ): errors.append(f"{path}: depends_on must be a list of exact Skill names") metadata = data.get("metadata") if not isinstance(metadata, dict): errors.append(f"{path}: metadata must be a mapping") else: if not compact_text(metadata.get("author")): errors.append(f"{path}: metadata.author is required") if not SEMVER_RE.fullmatch(compact_text(metadata.get("version"))): errors.append(f"{path}: metadata.version must use SemVer") tags = metadata.get("tags") if not isinstance(tags, list) or not tags or not all( isinstance(tag, str) and tag.strip() for tag in tags ): errors.append(f"{path}: metadata.tags must be a non-empty list") if "card_standard" in metadata and metadata.get("card_standard") != CARD_STANDARD: errors.append(f"{path}: metadata.card_standard must be {CARD_STANDARD}") content_class = compact_text(metadata.get("content_class")) if content_class and content_class not in CONTENT_CLASSES: errors.append( f"{path}: metadata.content_class must be one of " f"{', '.join(sorted(CONTENT_CLASSES))}" ) if content_class in {"authored-prose", "microcopy"} and ( not isinstance(depends_on, list) or "lov-branding-consistency" not in depends_on ): errors.append( f"{path}: {content_class} requires lov-branding-consistency" ) if content_class == "authored-prose": authorship_reference = path.parent / "references" / "authorship-integrity.md" if not authorship_reference.is_file(): errors.append( f"{authorship_reference}: authored-prose contract is required" ) if "references/authorship-integrity.md" not in body: errors.append( f"{path}: authored-prose must route to references/authorship-integrity.md" ) trigger_block = re.search( r"(?ms)^##\s+Triggers\s*$([\s\S]*?)(?=^##\s+|\Z)", body ) if not trigger_block: errors.append(f"{path}: add an explicit '## Triggers' section") else: block = trigger_block.group(1) if len(re.findall(r"(?m)^\s*-\s+\S", block)) < 3: errors.append(f"{path}: add two activation examples and one non-trigger") if not re.search(r"[\u3400-\u9fff]", block): errors.append(f"{path}: add a concrete Chinese trigger phrase") if not re.search(r"(?i)\b(?:the|a|an|create|build|help|publish|review|use)\b", block): errors.append(f"{path}: add a concrete English trigger phrase") if not re.search( r"(?mi)^###\s+(?:Do not activate when|Non-triggers?|不应触发|不要触发)\s*$", body, ): errors.append(f"{path}: add explicit non-trigger conditions") if len(read_text(path).splitlines()) >= 500: errors.append(f"{path}: keep SKILL.md below 500 lines") if not body.strip(): errors.append(f"{path}: body is empty") return data def load_yaml(path: Path, errors: list[str]) -> dict[str, Any] | None: try: data = yaml.safe_load(read_text(path)) except yaml.YAMLError as exc: errors.append(f"{path}: standard YAML parser rejected file: {exc}") return None if not isinstance(data, dict): errors.append(f"{path}: expected a YAML mapping") return None return data def validate_runtime_manifest( skill_root: Path, expected_skill_id: str, errors: list[str] ) -> None: manifest_path = skill_root / "skill.yaml" if not manifest_path.is_file(): errors.append(f"{manifest_path}: user-profile runtime manifest is required") return data = load_yaml(manifest_path, errors) if data is None: return if data.get("schema") != MANIFEST_SCHEMA: errors.append(f"{manifest_path}: schema must be {MANIFEST_SCHEMA}") if data.get("id") != expected_skill_id: errors.append(f"{manifest_path}: id must match {expected_skill_id}") version = compact_text(data.get("version")) if not SEMVER_RE.fullmatch(version): errors.append(f"{manifest_path}: version must use SemVer") if data.get("runtime") != RUNTIME_VERSION: errors.append(f"{manifest_path}: runtime must be {RUNTIME_VERSION}") context = data.get("context") if not isinstance(context, dict): errors.append(f"{manifest_path}: context must be a mapping") return profile = context.get("profile") preferences = context.get("preferences") interaction = context.get("interaction") if not isinstance(profile, dict): errors.append(f"{manifest_path}: context.profile must be a mapping") else: if profile.get("schema") != PROFILE_SCHEMA: errors.append(f"{manifest_path}: context.profile.schema must be {PROFILE_SCHEMA}") if profile.get("source") != "shared-profile": errors.append(f"{manifest_path}: context.profile.source must be shared-profile") reads = profile.get("read") if not isinstance(reads, list) or not reads or not all( isinstance(item, str) and item.strip() for item in reads ): errors.append(f"{manifest_path}: context.profile.read must be a non-empty list") persist = profile.get("persist") if not isinstance(persist, dict): errors.append(f"{manifest_path}: context.profile.persist must be a mapping") else: if persist.get("enabled") is not True: errors.append(f"{manifest_path}: profile persistence must be enabled") if persist.get("namespace") != f"skills.{expected_skill_id}": errors.append(f"{manifest_path}: persist.namespace must target skills.{expected_skill_id}") if persist.get("records_path") != f"skills.{expected_skill_id}.records": errors.append(f"{manifest_path}: persist.records_path must target Skill records") if persist.get("write_policy") != "direct-user-statement": errors.append(f"{manifest_path}: persist.write_policy must be direct-user-statement") if persist.get("atomic") is not True: errors.append(f"{manifest_path}: profile persistence must be atomic") fields = profile.get("fields") if not isinstance(fields, list) or not fields: errors.append(f"{manifest_path}: context.profile.fields must be a non-empty list") else: validate_manifest_fields(manifest_path, "profile", fields, errors) if not isinstance(preferences, dict): errors.append(f"{manifest_path}: context.preferences must be a mapping") else: fields = preferences.get("fields") if not isinstance(fields, list): errors.append(f"{manifest_path}: context.preferences.fields must be a list") else: validate_manifest_fields(manifest_path, "preferences", fields, errors) if not isinstance(interaction, dict): errors.append(f"{manifest_path}: context.interaction must be a mapping") else: if not isinstance(interaction.get("ask_missing"), bool): errors.append(f"{manifest_path}: interaction.ask_missing must be boolean") max_questions = interaction.get("max_questions") if not isinstance(max_questions, int) or isinstance(max_questions, bool) or not 1 <= max_questions <= 3: errors.append(f"{manifest_path}: interaction.max_questions must be 1-3") def validate_manifest_fields( manifest_path: Path, source_name: str, fields: list[Any], errors: list[str] ) -> None: for index, field in enumerate(fields): label = f"{manifest_path}: context.{source_name}.fields[{index}]" if not isinstance(field, dict): errors.append(f"{label} must be a mapping") continue if not compact_text(field.get("path")): errors.append(f"{label}.path is required") if not isinstance(field.get("required"), bool): errors.append(f"{label}.required must be boolean") if not compact_text(field.get("question")): errors.append(f"{label}.question is required") aliases = field.get("aliases", []) if isinstance(aliases, str): aliases = [aliases] if not isinstance(aliases, list) or not all( isinstance(alias, str) and alias.strip() for alias in aliases ): errors.append(f"{label}.aliases must be a list of paths") def has_content(value: Any) -> bool: if isinstance(value, str): return bool(value.strip()) if isinstance(value, list): return any(has_content(item) for item in value) if isinstance(value, dict): return any(has_content(item) for item in value.values()) return value is not None def contains_placeholder(value: Any) -> bool: if isinstance(value, str): return bool(re.search(r"\bTODO\b|\{[^}]+\}", value, re.I)) if isinstance(value, list): return any(contains_placeholder(item) for item in value) if isinstance(value, dict): return any(contains_placeholder(item) for item in value.values()) return False def validate_card_bundle(skill_root: Path, errors: list[str]) -> None: card_path = skill_root / "skill-card.yaml" card_doc_path = skill_root / "skill-card.md" cases_path = skill_root / "cases" / "cases.json" pricing_path = skill_root / "pricing-card.yaml" for path in (card_path, card_doc_path, cases_path, pricing_path): if not path.is_file(): errors.append(f"{path}: required Skill trust-bundle file is missing") card = load_yaml(card_path, errors) if card_path.is_file() else None if card is not None: if card.get("schema") != CARD_STANDARD: errors.append(f"{card_path}: schema must be {CARD_STANDARD}") required = ( "description", "owner", "license", "use_case", "deployment", "requirements", "risks", "references", "output", "version", "ethical_considerations", "dimensions", "pricing", "distribution", ) for key in required: if key not in card or not has_content(card.get(key)): errors.append(f"{card_path}: required field '{key}' is missing or empty") dimensions = card.get("dimensions") if not isinstance(dimensions, list) or len(dimensions) < 3: errors.append(f"{card_path}: dimensions must contain at least three named dimensions") else: ids: set[str] = set() for index, dimension in enumerate(dimensions): label = f"{card_path}: dimensions[{index}]" if not isinstance(dimension, dict): errors.append(f"{label}: expected a mapping") continue dimension_id = compact_text(dimension.get("id")) if not dimension_id or dimension_id in ids: errors.append(f"{label}: id is required and must be unique") ids.add(dimension_id) for key in ("label", "description", "evidence"): if not compact_text(dimension.get(key)): errors.append(f"{label}: '{key}' is required") risks = card.get("risks") if not isinstance(risks, list) or not risks: errors.append(f"{card_path}: risks must contain at least one risk and mitigation") else: for index, risk in enumerate(risks): if not isinstance(risk, dict) or not compact_text(risk.get("risk")) or not compact_text(risk.get("mitigation")): errors.append(f"{card_path}: risks[{index}] needs risk and mitigation") distribution = card.get("distribution") if not isinstance(distribution, dict) or not isinstance(distribution.get("paid"), list) or not isinstance(distribution.get("free"), list): errors.append(f"{card_path}: distribution must declare paid and free lists") if contains_placeholder(card): errors.append(f"{card_path}: replace unresolved TODO or template placeholders") if card_doc_path.is_file(): card_doc = read_text(card_doc_path) required_headings = ( "Description", "Owner", "License", "Use Case", "Deployment Geography", "Requirements", "Known Risks", "References", "Skill Output", "Skill Version", "Ethical Considerations", "User Cases", "Dimension Map", "Pricing Basis", "Distribution", ) for heading in required_headings: if not re.search(rf"(?mi)^#+\s+{re.escape(heading)}", card_doc): errors.append(f"{card_doc_path}: add the '{heading}' section") if re.search(r"\bTODO\b|\{[^}]+\}", card_doc, re.I): errors.append(f"{card_doc_path}: replace unresolved TODO or template placeholders") if cases_path.is_file(): try: cases = json.loads(read_text(cases_path)) except json.JSONDecodeError as exc: errors.append(f"{cases_path}: invalid JSON: {exc}") cases = [] if not isinstance(cases, list) or not cases: errors.append(f"{cases_path}: include at least one real user case") else: for index, case in enumerate(cases): label = f"{cases_path}: cases[{index}]" if not isinstance(case, dict): errors.append(f"{label}: expected a mapping") continue for key in ("title", "description", "input", "prompt", "output"): if not has_content(case.get(key)): errors.append(f"{label}: '{key}' is required") if contains_placeholder(case): errors.append(f"{label}: replace unresolved TODO or template placeholders") for image_key in ("cover", "gallery"): image_values = case.get(image_key, []) if isinstance(image_values, str): image_values = [image_values] if not isinstance(image_values, list): errors.append(f"{label}: '{image_key}' must be a string or list") continue for image in image_values: if not isinstance(image, str) or not image.strip(): errors.append(f"{label}: '{image_key}' contains an empty path") elif not re.match(r"^(?:https?:|/|data:)", image) and not (skill_root / image).is_file(): errors.append(f"{label}: case asset does not exist: {image}") pricing = load_yaml(pricing_path, errors) if pricing_path.is_file() else None if pricing is not None: if pricing.get("schema") != PRICING_CARD_SCHEMA: errors.append(f"{pricing_path}: schema must be {PRICING_CARD_SCHEMA}") for key in ("model", "currency", "list_price_cny", "basis", "boundary", "review_trigger", "confidence"): if key not in pricing or (key != "list_price_cny" and not has_content(pricing.get(key))): errors.append(f"{pricing_path}: required field '{key}' is missing or empty") if contains_placeholder(pricing): errors.append(f"{pricing_path}: replace unresolved TODO or template placeholders") def validate_composition_reference(skill_root: Path, errors: list[str]) -> None: path = skill_root / "references" / "skill-composition.md" if not path.is_file(): errors.append(f"{path}: required Skill group composition record is missing") return text = read_text(path) required_headings = ( "Nearby Skills Inspected", "Atomic Handoffs", "Overlap Decisions", "Composition Decision", ) for heading in required_headings: if not re.search(rf"(?mi)^#+\s+{re.escape(heading)}", text): errors.append(f"{path}: add the '{heading}' section") if re.search(r"\bTODO\b|\{[^}]+\}", text, re.I): errors.append(f"{path}: replace unresolved TODO or template placeholders") def validate_kit(root: Path, skill_names: set[str], errors: list[str]) -> None: manifest = root / "kit.yaml" if not manifest.exists(): return data = load_yaml(manifest, errors) if data is None: return modules = data.get("modules") if not isinstance(modules, list) or not modules: errors.append(f"{manifest}: modules must be a non-empty list") return module_ids: set[str] = set() for index, module in enumerate(modules): label = f"{manifest}: modules[{index}]" if not isinstance(module, dict): errors.append(f"{label}: expected a mapping") continue module_id = compact_text(module.get("id")) skill_name = compact_text(module.get("skill")) relative = compact_text(module.get("path")) if not module_id or module_id in module_ids: errors.append(f"{label}: id is required and must be unique") module_ids.add(module_id) module_path = (root / relative).resolve() if ( not relative or not is_relative_to(module_path, root.resolve()) or not (module_path / "SKILL.md").is_file() ): errors.append(f"{label}: missing module at '{relative}/SKILL.md'") if skill_name not in skill_names: errors.append(f"{label}: unresolved child skill '{skill_name}'") pipelines = data.get("pipelines") if not isinstance(pipelines, dict) or not pipelines: errors.append(f"{manifest}: pipelines must be a non-empty mapping") return for pipeline, sequence in pipelines.items(): if not isinstance(sequence, list) or not sequence: errors.append(f"{manifest}: pipeline '{pipeline}' must be a non-empty list") continue missing = [str(item) for item in sequence if item not in module_ids] if missing: errors.append( f"{manifest}: pipeline '{pipeline}' has unknown modules: " + ", ".join(missing) ) def validate_local_references(root: Path, errors: list[str]) -> None: for path in iter_files(root): if path.suffix.lower() != ".md": continue text = read_text(path) for raw in MARKDOWN_LINK_RE.findall(text): target = raw.strip().split(maxsplit=1)[0].strip("<>").split("#", 1)[0] if ( not target or re.match(r"^[a-z][a-z0-9+.-]*:", target, re.I) or any(token in target for token in ("TODO", "{", "}")) ): continue if not (path.parent / target).resolve().exists(): errors.append(f"{path}: broken local link '{target}'") skill_root = path.parent if path.name == "SKILL.md" else root for variable, target in SKILL_PATH_RE.findall(text): if "TODO" in target: continue base = skill_root if variable == "SKILL_DIR" else root resolved = (base / target.rstrip(".,;:)")).resolve() if not is_relative_to(resolved, root.resolve()) or not resolved.exists(): errors.append(f"{path}: missing required resource '${variable}/{target}'") def validate_hygiene(root: Path, errors: list[str]) -> None: private_path = re.compile(r"(?:/Users/[^/\s]+/|[A-Za-z]:\\\\Users\\\\[^\\\s]+\\\\)") for path in root.rglob("*"): if any(part in SKIP_DIRS for part in path.relative_to(root).parts): continue if path.name in JUNK_NAMES or path.suffix.lower() in JUNK_SUFFIXES: errors.append(f"{path}: generated/cache artifact must not ship") for path in iter_files(root): if path.suffix.lower() not in TEXT_SUFFIXES or path.name == "validate_skill.py": continue text = read_text(path) if private_path.search(text): errors.append(f"{path}: contains a private absolute user path") if path.name != "init_skill.py" and re.search(r"\bTODO\s*[::]", text): errors.append(f"{path}: unresolved TODO placeholder") for relative in ("workbuddy", "scripts/build_workbuddy.py"): if (root / relative).exists(): errors.append( f"{root / relative}: platform distribution artifacts belong to skill-publish" ) def validate_source(root: Path, errors: list[str]) -> None: root_skill = root / "SKILL.md" skill_files = [root_skill, *sorted((root / "skills").glob("*/SKILL.md"))] if not root_skill.is_file(): errors.append(f"{root_skill}: file is required") return parsed: list[tuple[Path, dict[str, Any]]] = [] for path in skill_files: data = validate_skill_file(path, errors) if data: parsed.append((path, data)) names = {compact_text(data.get("name")) for _, data in parsed} if len(names) != len(parsed): errors.append(f"{root}: every embedded Skill must have a unique name") for path, data in parsed: metadata = data.get("metadata") if isinstance(metadata, dict) and metadata.get("card_standard") == CARD_STANDARD: validate_card_bundle(path.parent, errors) validate_composition_reference(path.parent, errors) validate_runtime_manifest(path.parent, compact_text(data.get("name")), errors) validate_kit(root, names, errors) readme = root / "README.md" if not readme.is_file(): errors.append(f"{readme}: file is required") elif parsed: metadata = parsed[0][1].get("metadata") version = compact_text(metadata.get("version")) if isinstance(metadata, dict) else "" if version and f"version-{version}-" not in read_text(readme): errors.append(f"{readme}: version badge must match {version}") validate_hygiene(root, errors) validate_local_references(root, errors) def main() -> int: parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("path", type=Path, help="Local Skill source directory") args = parser.parse_args() root = args.path.expanduser().resolve() if not root.is_dir(): print(f"ERROR: directory does not exist: {root}", file=sys.stderr) return 2 errors: list[str] = [] validate_source(root, errors) if errors: print(f"FAILED: {len(errors)} issue(s)") for error in errors: print(f"- {error}") return 1 print(f"PASSED: source validation ({root})") return 0 if __name__ == "__main__": raise SystemExit(main())
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CHANGELOG.md 285 B
# Changelog ## [1.0.1] - 2026-09-07 - 将历史 slash command 升级为通用 Skill,补全自然语言触发、显式输入、共享 Profile 与验收边界。 - 保留业务目的,修正宿主耦合和不安全的隐式动作;迁移案例与实际业务验收分别记录。 -
LICENSE 1 KB · in bundle
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pricing-card.yaml 425 B
schema: lovstudio/pricing-card/v1 model: free_entry currency: CNY list_price_cny: 0 basis: 轻量公开工具能力;当前证据主要是源码迁移与安装验证,采用免费入口积累业务结果。 boundary: 交付 Skill 源码与使用合同,不含第三方服务费用、账户或人工代运营。 review_trigger: 十次真实业务使用或依赖接口与维护成本明显变化后复评。 confidence: low -
README.md 1 KB
# 项目起名师 · Project Namer  根据项目用途提供可用于文件夹与仓库的名称及定位说明。 ## 安装 ```bash npx skills add lov-gen-project-name -g -y ``` ## 使用 - 根据项目用途提供可用于文件夹与仓库的名称及定位说明。 - Generate a project name from its purpose. 支持自然语言调用,具体执行步骤与边界见 [SKILL.md](SKILL.md)。分析、预览和实际修改分开处理。 ## 配置与依赖 读取 [共享 Profile](references/user-profile.md);项目路径、输出目录与品牌来自当前请求或用户配置。 业务工具和目标系统依赖见工作流;公开文案使用 lov-branding-consistency 审校。 ## 质量与案例 ```bash python3 scripts/validate_skill.py . ``` [案例](cases/cases.json) 记录真实迁移输入和输出,仅证明所声明的验收范围。 [Skill Card](skill-card.md) 与 [定价依据](pricing-card.yaml) 说明使用边界;业务运行结果须逐次回读。 ## License MIT -
skill-card.md 1.1 KB
# 项目起名师 · Project Namer · Skill Card ## Description 根据项目用途提供可用于文件夹与仓库的名称及定位说明 ## Owner contributors ## License MIT ## Use Case 根据项目用途提供可用于文件夹与仓库的名称及定位说明 ## Deployment Geography 本地运行;外部系统仅按用户明确目标访问。 ## Requirements 参见 SKILL.md 的兼容性和工作流。 ## Known Risks 项目版本与依赖不同;结构验收不等于业务运行成功。 ## References [工作流](SKILL.md) · [组合关系](references/skill-composition.md) ## Skill Output 根据项目用途提供可用于文件夹与仓库的名称及定位说明 ## Skill Version 1.0.1 ## Ethical Considerations 不发布秘密,不伪造来源与验证结果。 ## User Cases [迁移案例](cases/cases.json);此案例仅覆盖通用化合同。 ## Dimension Map 可移植性、配置隔离、可追溯性;未给未经测量的业务评分。 ## Pricing Basis 免费入口;[价值与边界](pricing-card.yaml)。 ## Distribution GitHub 与 LovStudio:prepared;WorkBuddy 与 SkillPay:未选择。 -
skill-card.yaml 1.5 KB
schema: lovstudio/skill-card/v1 description: 根据项目用途提供可用于文件夹与仓库的名称及定位说明 owner: contributors license: MIT use_case: 根据项目用途提供可用于文件夹与仓库的名称及定位说明 deployment: 本地 Agent 宿主,业务系统按任务指定 requirements: 可读取文件的 Agent;业务依赖见 SKILL.md risks: - risk: 不同项目与工具版本存在差异,迁移验证不能替代业务运行验证。 mitigation: 执行前发现实际环境,按工作流回读结果。 references: - SKILL.md - cases/cases.json - references/skill-composition.md output: 根据项目用途提供可用于文件夹与仓库的名称及定位说明 version: 1.0.1 ethical_considerations: 保留来源、用户授权和秘密边界,不虚构案例或外部完成状态。 dimensions: - id: portability label: 宿主可移植性 description: 显式输入与实际宿主能力 evidence: SKILL.md 的 Triggers 和 Execution boundary score: null - id: context label: 配置隔离 description: 用户配置与公开源分离 evidence: skill.yaml 与 Profile 合同 score: null - id: traceability label: 结果可追溯 description: 原始输入摘要与迁移结果 evidence: cases/cases.json;尚无业务效果评分 score: null pricing: model: free_entry basis: pricing-card.yaml distribution: free: - channel: github status: prepared - channel: lovstudio status: prepared paid: - channel: workbuddy status: not_selected - channel: skillpay status: not_selected -
SKILL.md 2.9 KB
--- name: lov-gen-project-name description: 根据项目用途提供可用于文件夹与仓库的名称及定位说明。支持明确输入与结果回读。Use to generate a project name from its purpose. license: MIT compatibility: 支持 Agent Skills 的宿主;Python 3.8+ 与 PyYAML 用于 Profile 和校验。业务工具要求见工作流。 depends_on: - lov-branding-consistency metadata: author: contributors version: 1.0.1 content_class: microcopy card_standard: lovstudio/skill-card/v1 tags: - gen-project-name - portable-skill --- # 项目起名师 · Project Namer 根据项目用途提供可用于文件夹与仓库的名称及定位说明。 ## Triggers ### Activate when - “根据项目用途提供可用于文件夹与仓库的名称及定位说明。” - “Generate a project name from its purpose.” ### Do not activate when - 只是查询本 Skill 的说明,或请求与上述结果无关的任务;不执行实际业务操作。 - 用户仅要预览或审查时,不进入修改、提交或发布分支。 ## Execution boundary 自然语言请求即可触发;无需旧 slash 路径、参数插值或指定助手。明确解析当前请求中的 项目、目标文件、选项与输出位置;用当前宿主实际提供的文件、搜索、CLI 和浏览器能力。 项目依赖版本与外部 API 在执行时核实,不能假设示例是现行配置。随包脚本从 Skill 根解析, 业务文件从目标项目根解析。先读当前状态,保护已有未提交内容与其他任务的暂存区。 分析、预览请求保持只读;修改、提交、推送、部署和发布各依当前请求的明确范围执行。 不绕过保护、自动发送消息、强制结束用户进程或抢前台。失败保留可诊断原始错误。 ## Workflow 1. 解析用途、受众、语言与命名限制;需求为空时只问项目做什么。 2. 生成三组不同命名方向,每组给显示名、ASCII slug 与一句解释,避免只堆近义词。 3. slug 使用小写字母、数字与连字符或项目允许的下划线,不以点开头,长度不超过 50 字符;检查目标文件系统保留名及现有目录冲突。 4. 区分产品名、包名和仓库名。未实际查询时不宣称域名、商标或仓库可用;此 Skill 不自动改名或购买域名。 ## Composition 执行前读取 [能力组合](references/skill-composition.md),按明确制品交接相邻能力。 ## Runtime context (shared) 运行前读取本包 `skill.yaml` 与 [Profile 合同](references/user-profile.md)。优先级为当前请求、 项目上下文、本 Skill records、共享 preferences、brand/user Profile、安全默认值。 只读取声明字段;没有专用运行时的宿主可使用 `scripts/profile_store.py` 读取共享 Profile。 配置缺失只问影响结果的一个问题。用户明确要求长期保存的值通过该脚本原子写入, 报告实际路径;不保存推断、凭据或其他任务的资料。 -
skill.yaml 2.2 KB
schema: skill-manifest/v1 id: lov-gen-project-name version: 1.0.1 runtime: skill-runtime/v1 context: profile: schema: user-profile/v1 source: shared-profile read: - user - brand - workspace - preferences - skills.lov-gen-project-name persist: enabled: true namespace: skills.lov-gen-project-name records_path: skills.lov-gen-project-name.records write_policy: direct-user-statement atomic: true fields: - path: user.name aliases: - identity.name required: false question: 如果本次输出需要用户身份,请提供名称。 - path: user.language required: false question: 希望使用哪种语言输出? - path: user.timezone required: false question: 需要使用哪个时区处理日期和时间? - path: brand.name aliases: - identity.name required: false question: 如果本次输出需要品牌身份,请提供品牌名称。 - path: brand.site required: false question: 如果需要品牌官网,请提供地址。 - path: brand.tone required: false question: 如果已有品牌语气或审美关键词,请提供它们。 - path: identity.name required: false question: 如果本次输出需要品牌身份,请提供品牌名称。 - path: identity.logo required: false question: 如果需要使用品牌 Logo,请提供 Logo 地址或文件路径。 - path: workspace.project_root required: false question: 目标项目路径是什么? - path: workspace.output_dir required: false question: 输出保存在哪里? - path: workspace.knowledge_root required: false question: 本次知识库路径是什么? - path: skills.lov-gen-project-name.profile required: false question: 本 Skill 有哪些明确配置? preferences: namespace: lov_gen_project_name fields: - path: user.language required: false question: 希望使用哪种语言输出? - path: user.timezone required: false question: 需要使用哪个时区处理日期和时间? interaction: ask_missing: true max_questions: 1
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