LLM Mart Basic
@llm-mart · Joined Jun 2026
文档同步 Skill,开发完成后自动更新 README、.claude/ 配置、specs CHANGELOG,保持文档与代码一致
金融专家 Skill,覆盖 Web3 与证券/资产/交易领域的正确性审核、营销合规红线识别、合规问题清单生成、业务验收协同;把关型角色,只举旗不定性
用户说“修复这个可复现 bug”或要求根据失败报告修代码时使用。执行红灯测试、根因定位、最小修复、独立审查和回归;尚未确认的问题先用 cm-test,新功能和架构重设计转交 cm-prd。
前端工程师 Skill,执行前端开发任务,自动适配项目技术栈(React/Vue/Svelte/Next.js 等),支持 Figma/Stitch 设计稿还原
用户说“我有个点子”“帮我梳理产品”或需要先聊清目标时使用。通过逐题访谈整理为可交给 cm-prd 的 PRD;已有明确需求文档时改用 cm-prd,不写代码、不拆开发任务。
用户说“第一次接管这个项目”“分析仓库并生成项目规则”时使用。分析已有代码并生成 Codex AGENTS.md 与 CM/Claude 兼容规则;仅适用于非空存量项目,不创建脚手架、不承接普通代码修改。
微信小程序开发工程师 Skill,执行小程序开发任务,自动适配项目技术栈(原生小程序/Taro/uni-app 等),支持 Figma/Stitch 设计稿还原与云开发
用户说“把需求拆成可开发规格”“变更现有功能需求”或要求整理方案、任务和验收时使用。支持新项目、存量二开与需求变更;完成后停在人审规格,不直接编码。
产品经理 Skill,负责需求分析、用户故事与验收标准编写、歧义清单生成、变更影响分析、业务验收走查;把关型角色,不做技术设计与技术测试
QA 工程师 Skill,执行功能测试、E2E 测试、可视化回归、验收标准核验,自动适配项目测试框架
用户明确要求“只整理结构,不改变行为”时使用。执行边界分流、行为判官、分批重构和独立审查;缺陷修复转交 cm-fix,新增或变化的业务行为转交 cm-prd。
用户要查看或切换 CM 自动派发偏好、单/双 AI 声明、谁写谁审,或修改用户级运行时默认时使用。只管理运行时声明,不安装工具、不测试配额、不接管正在运行的任务。
用户运行 cm-security,或要求代码安全扫描、漏洞检查、密钥泄露排查、依赖漏洞检查时使用。默认检查当前分支相对主分支及已跟踪未提交修改,结合业务地图复核;--all 检查全部已跟踪文件。只报告问题,不自动修复、安装、升级或发布。安装自检用 cm-check,功能测试与覆盖率用 cm-test。
用户直接运行 cm-test、要求分析当前分支相对主分支的业务影响,或说“测试已有功能”“根据代码生成用例”“用浏览器走查”时使用。无参数分析已提交差异、单测覆盖率与回归重点;明确说“补齐单测”时连续补测并重跑、审查。显式目标保留原模式,不擅自修产品代码。
UI 还原工程师 Skill,把已确认的设计基准像素级还原为生产代码(token 先行、原子顺序、按交付形态量化验收:Web 用 BackstopJS、App 用 Maestro+模拟器截图);有基准才出场,不做业务逻辑
项目代码库上下文管理。通读项目生成参考文档(scan),或加载文档辅助开发(dev)。
Darwin Skill 2.0 (达尔文.skill 2.0): autonomous skill optimizer, v2.0 integrates Microsoft Research SkillLens (arXiv 2605.23899) 9-dim rubric + SkillOpt (arXiv 2605.23904) validation-gated design + human-in-the-loop checkpoints. Evaluates SKILL.md files using a 9-dimension rubric (s
将产品讨论、问题研究、学术研究、根因假设、测试设计或对抗审查交给外部高能力模型,并由本地主执行者核验、裁决和留存证据;不修改代码或代替正式测试。
Extract a production-ready brand-lock.md from a brand's existing assets. Point it at a website URL, a brand book PDF, screenshots, or a written description and it produces the nine-section brand-lock the rest of shotkit consumes, with a confidence and source noted for every value
Turn a creative brief into a production-grade storyboard with shot specs, timing, on-screen text, and per-shot rationale. Use when the user describes a video brief, plans a video, references shots or beats, scripts a social video, or hands over a creative concept to break into sc
/create-component
Create component
Guided component creation with proper patterns
/design-review
Design review
Review existing UI for issues and improvements
/design-system-setup
Design system setup
Initialize a design system with tokens
/test-generate
Test generate
Generate unit tests for Python, JavaScript/TypeScript, and React code with mocks, edge cases, and coverage gap analysis
/backlog-from-demo
Backlog from demo
Turn a recorded product demo into a prioritized backlog with timestamped evidence.
/bug
Bug
Turn one screen recording of a bug into an evidence-backed GitHub issue draft (quote, frames, OCR identifiers, wall-clock; silent recordings work too).
/correlate-with-logs
Correlate with logs
Walk a recording's remarks against system logs using wall-clock timestamps.
/meeting-actions
Meeting actions
Turn a recorded meeting (audio is enough) into action items, decisions, and open questions with timestamps.
/spec-from-workshop
Spec from workshop
Turn a recorded workshop or design walkthrough into a structured spec with quoted decisions and open questions.
/triage-recording
Triage recording
Turn a narrated screencast into precise, evidence-backed findings JSON (bug / feature / question routing with frame evidence).
/ai-governance
ai-governance
Generate and enforce policy gates for AI coding agents (Copilot, Claude Code) — real-time session hooks that deny protected-path edits and dangerous commands, plus a merge-time backstop for anything that bypasses them. Use when asked to "govern AI agents", "block AI from touching secrets", "add an AI policy gate", or "why did the AI agent hook not fire".
/pwf-status
Pwf status
Show the active planning-with-files plan (id, mode, attestation, current phase, phase counts)
/pwf
Pwf
Start planning-with-files (task_plan.md, findings.md, progress.md); flags --gated, --autonomous, --template analytics, then an optional plan name
/ad
Ad
Run a paid-ads (ROAS) workflow: audience segments, account structure, ad creative, experiment design, pre-launch signal QA + the account-audit gate, measurement, and attribution. Not sure? Use /aaron-marketing:auto.
/auto
Auto
Natural-language front door to the marketing pack (narrative/TALE, SEO/GEO/SITE, social/ECHO, email/SEND, Paid Ads/ROAS, influencer/STAR, launch/RAMP). Use when a marketing goal is open-ended or spans disciplines, when it is unclear which skill fits, or for requests like 'help with our marketing', 'grow our traffic', 'plan our launch', 'what should we post', 'is our messaging landing' — it infers the discipline and runs the smallest useful workflow. Add --deep for exhaustive, maximum-rigor, or stress-test runs.
/email
Email
Run an email-marketing (SEND) workflow: deliverability/consent setup, segmentation, email creative, lifecycle flows, newsletter monetization, send-testing, and the email-quality audit gate. Not sure? Use /aaron-marketing:auto.
/influencer
Influencer
Run an influencer-marketing (STAR) workflow: audience & creator scouting, campaign targeting, briefs, outreach, amplification, and ROI reporting. Not sure? Use /aaron-marketing:auto.
/launch
Launch
Run a product-launch (RAMP) workflow: positioning and launch tiering, window/early-access design, message house and asset kits, the launch-readiness gate with a T-1 go/no-go, launch-day execution, and the post-launch prove loop. Not sure? Use /aaron-marketing:auto.
/narrative
Narrative
Run a brand-narrative & messaging (TALE) workflow: trace the current message and positioning truth, architect the durable message house/voice/story canon, land it consistently across every surface, and evaluate resonance with tests and drift monitoring. Not sure? Use /aaron-marketing:auto.
/seo-geo
Seo geo
SEO/GEO end-to-end along the SITE loop: survey demand and competitors, implement content, tune quality/tech/on-page, and evaluate authority/rankings/reports/memory (--phase survey|implement|tune|evaluate). Not sure? Use /aaron-marketing:auto.
Make any song you can imagine
39 views 0 likesLeading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars
37 views 0 likesHermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research
36 views 0 likesKilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster
34 views 0 likesGeneral-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…
20 views 0 likesAutonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.
20 views 0 likesTSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目
15 views 0 likesCurated, verified Agent Skills powered by ModelStudio.
18 views 0 likesRun Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…
17 views 0 likespi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…
14 views 0 likesA persistent workspace for development work that self-improves and continues beyond one session.
33 views 0 likesOpen-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.
20 views 0 likes📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…
28 views 0 likesDeterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.
31 views 0 likesDeterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…
20 views 0 likesNative Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…
32 views 0 likesAgent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
15 views 0 likesGit for agent memory. Branches, diffs, PRs, and rollback for what your agents know.
34 views 0 likesMulti-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…
16 views 0 likesProduction-grade MCP server for MikroTik RouterOS with secure AI-native network automation.
29 views 0 likes