LLM Mart Basic

根据真实业务与数据处理事实生成隐私政策和服务条款页面草稿。支持明确输入与结果回读。Use to draft website privacy

把重复操作封装成通用 Skill，并按需提供宿主 slash command 适配入口。支持明确输入与结果回读。Use to turn a

将已有 clone 连接到用户自己的 GitHub 仓库并保留来源与历史。支持明确输入与结果回读。Use to publish a cloned

生成 changeset 草稿并提供编辑入口，审阅后验证版本计划。支持明确输入与结果回读。Use to create a changeset

根据实际包变更生成 changeset，并按请求更新版本与 CHANGELOG。支持明确输入与结果回读。Use to manage package

从已核实的社区地址或仓库列出可访问的 XBTI 人格测试案例。支持明确输入与结果回读。Use to browse a gallery of

用真人尽调思路校验用户提出的事实命题：拆解可验证问题、检索一手资料、 交叉验证证据链，并给出带置信度和不确定边界的结论。 Trigger when the user asks to fact-check, verify a claim, confirm whether something is true, source-check an answer, or mentions "事实校验", "帮我确认", "这是真的吗", "verify this", "fact check", "source check", "due diligence".

Create learner-friendly English subtitles with level-aware glosses and

Use when the user asks to find and download a film, series, or long video. 以 aria2 为默认传输后端，完成多源测速、续传、容量预检、版本核验与字幕验收；也适用于“帮我下载这部电影”。

面向中国大陆网站的一站式备案与上线 Skill Kit：当用户说“办 ICP 备案”“做公安联网备案”“备案后绑定域名”或 "handle China website filing" 时，按权威页面完成材料、审核、域名切换、合规展示与巡检留痕。

给纯文本模型"看图"：调用智谱 GLM-4V-Flash（免费）把图片转成文字描述。当用户要求描述/识别/读取图片，或任务里出现图片文件（截图/图表/照片）而当前模型无法直接看图时，优先调用本 skill。需要图片磁盘路径，可附带具体问题。

把需求、现有界面与真实素材落实为有辨识度、交互一致的前端，覆盖页面、组件、导航、GSAP 展示及图片音视频。触发：设计前端、界面不够专业、制作交互案例集；design or refine a frontend UI.

面向公众号、网站、App、策划案、海报等真实发布场景，为读者可见文本建立受众、品牌角色、组件惯例与信息可见性门禁。Use when generating, editing, rendering, publishing, or reviewing audience-facing copy for brand and context fit.

把单人照片用 gpt-image-2 重绘成身份保真的 Riso 头像，并检查五官、手指、饰品与圆形裁切。Use when the user asks“做成 Riso 人像”“生成孔版印刷头像”or “create a Riso portrait”。

从产品与品牌事实出发，独立推导适合当前产品的定位、叙事与视觉，并完成 Landing Page 实现、响应式和生产回读；适用于创建官网、品牌官网重构、产品价值不清或视觉与产品不匹配。

Initialize or refactor a frontend project to use TanStack Query as the unified server-state layer. Use when the user asks to install TanStack Query, initialize query infrastructure, migrate ad hoc fetch/invoke/useEffect request state, standardize query keys, or make app network r

Use when the user asks for "App生成器", "生成 Web App", "生成 Tauri App", "生成原生 macOS App", "Finder Quick Action", "只创建 web", or to standardize an existing app with branding, CI/CD, native integration, and Lovinsp where applicable.

为 Electron 桌面应用设计、实现和验证增量自动更新，覆盖 macOS Sparkle、签名、appcast、发布产物与失败拦截。用户提到增量更新、Sparkle、检查更新、appcast、DMG 更新或 delta updater 时使用。

Publish or submit a validated Skill. Default to the LovStudio official website, run lov-skill-pricing automatically, and use other channels only when explicitly named.

重置 Obsidian 缓存，解决卡在 "Loading cache..." 的问题。 当用户说 "obsidian 卡住"、"loading cache"、"obsidian 打不开"、"重置 obsidian 缓存" 时触发。 Trigger when the user mentions Obsidian startup hangs, cache reset, or "Loading cache".

Fourteen posts of being wrong in production, compressed to checkboxes

Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds

Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.

Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.

A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.

A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.

None of the safety came from the model. It came from six boring habits.

Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.

Six hours in, one step left, everything green, and the incident that didn't happen

CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.

Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it

An API request routing a model's tool call through an approval gate to a remote MCP server

31 config keys, two audits, and why the first one was wrong in both directions

The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.

Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.

Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.

"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks

stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.

The most important rule wasn't about what I could change. It was about what I was allowed to display.

Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.

Show current AutoFile policy and settings

Allow all file creation - full permission to create and modify files

Start autoproc - procedural autonomous workflow (legacy command)

Start autorun - autonomous task execution (legacy command)

Show active session-level pattern blocks and allows

Cache-miss / compaction protection gate (disabled by default)

Reference the supported Claude Code command, skill, plugin, and hook surfaces

Clear all session-level pattern blocks and allows

Emergency stop - immediately halt all autonomous operations

Find existing files only - no new file creation (short for /ar:find)

Find existing files only - prevents new file creation (strictest mode)

Git commit requirements - the 17-step process, short for /ar:commit

Use gemini CLI for any combination of: superior vision for analysis of images, diagrams, screenshots, PDFs, documents, video, and audio; code review with detailed citations and cross-referencing patterns; Google search; and multi-model workflows; all for planning, feedback, and getting unstuck.

Clear all global pattern blocks and allows

Block a command pattern globally (persists across sessions)

Allow a blocked pattern globally (persists across sessions)

Show active global pattern blocks and allows

Start autorun - autonomous task execution (short for /ar:run)

Start autoproc - procedural autonomous workflow (short for /ar:proc)

List every autorun command with what it does, in this harness's spelling

Claude Code skills for Chinese-narration recaps from supported video files, with optional editable JianYing/CapCut draft export. | 用 Claude Code skills 为支持的视频文件…

Drive the Unity Editor from an AI agent or the terminal. The Editor serves MCP itself over HTTP, so there is no second process to run, and the isuzu-unity-cli c…

面向企业的数字员工构建与运行平台：把专业员工的经验、流程与判断标准，固化为可随时上岗、可配置、可审批、可观测的 AI 数字员工。

A local-first, Pi-powered AI agent workspace for Desktop, WebUI, and CLI

660+ muapi-hosted generative-media models plus community-submitted third-party API tools (SEO, enrichment, social, scraping) — one YAML file per entry, browsabl…

A compounding agent OS for recursive agents. Also an open source alternative to Grok Bot and Meta's Muse.

Independent desktop client for OpenCode 2. Manage projects, sessions, parallel agents, requests, and changes on Linux and macOS.

Production agent skills for Claude Code, Cursor, and any SKILL.md harness — Codex fleets, video pipeline, monorepo review bundles, multi-chain explorer.

See and manage what your coding assistants load — skills, commands, subagents, plugins and MCP servers, with real usage.

An Enterprise-Grade Full-Stack RBAC Permission Management System Built with Go + React

Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

基于 DeepSeek Harness（DSH）的稳定桌面端，集成Git、内置浏览器与记忆功能 | DeepSeek Harness desktop GUI with local workspaces, Git, browser and memory.

⚡ Control Apache Airflow with natural language via MCP. Chat with your workflows using Claude, GPT, or any LLM — no REST API calls needed. Supports Airflow 2.x…

Open-source CLI, schemas, resolver, and DSH agent tools for DSH Plugin Hub

Pi Coding Agent 中文学习蓝皮书：从安装与第一个可验收任务开始，逐步掌握 Session、Context、Skill、Extension、Subagent 与长期 Agent 工作流。

Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic coding pipeline, model-agnostic and local-friendl…

Self-hosted, vendor-neutral control plane for your local coding agents (Claude Code & Codex). Run your agents, on any plane.

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and…

Vibe Coding 从入门到精通教程｜AI 结对编程工作流｜Prompt、Skill、Workflow、上下文管理、codex实战指南

Static security scanner for LLM agents — prompt injection, MCP config auditing, taint analysis. 51 rules mapped to OWASP Agentic Top 10 (2026). Works with LangC…