LLM Mart Basic

Open a private GitHub repo to external clients or contractors without making it public. Accepts a mixed list of GitHub usernames and/or email addresses, resolves each to a GitHub account (falling back to an email invitation when the user has no discoverable account yet), and invi

Contribute a clean, professional pull request to someone else's GitHub repository: fork → clone → branch → commit → push → open PR, with smart splitting into one or multiple PRs based on the scope of changes. Trigger when the user says "给这个 repo 提 PR"、"贡献代码"、"fork 然后改再 PR"、 "cont

Interactive GitHub repo hygiene skill. Lists all open issues, PRs, stale branches, and orphan labels, shows a summary of each with analysis, then asks the user how to handle each item (close, merge, comment, delete, keep). Executes all chosen actions via gh CLI. Use when the user

配置或运行现有项目发布流水线，并回读产物与真实上线状态。支持明确输入与结果回读。Use to set up or run a verified

Optimize Tauri backend architecture and development ergonomics for Tauri 2 apps, especially Rust restart pain, oversized src-tauri/src/lib.rs files, excessive #[tauri::command] surfaces, stringly invoke APIs, long IPC streams, and dev-state recovery. Use when the user asks about

Generate a stable unique dev port (3000-8999) from a project name and help update project config. Use when the user needs to set a project port, start a dev server, resolve port conflicts, initialize a new project, or mentions "端口", "port", "dev server", "端口冲突", "project port".

Diagnose and repair application connectivity failures caused by Clash Verge Rev TUN routing, rule precedence, stale runtime state, proxy timeouts, or unusable IPv6 paths. Trigger for symptoms such as WeChat images failing to send, Moments images loading slowly, an app hanging aft

将模板或 fork 改造为新项目，按范围同步品牌、语言和部署设置。支持明确输入与结果回读。Use to create a project

根据软件需求比较复用策略并输出有来源的技术选型与研发计划。支持明确输入与结果回读。Use to research a development

把有证据的可复用经验写入最合适的项目或共享 Agent 规范。支持明确输入与结果回读。Use to persist a reusable

将真实解决过程整理为可复用经验文档并维护知识索引。支持明确输入与结果回读。Use to distill a solved problem

核对项目路由及页面链接，修复失效目标并保留有效导航。支持明确输入与结果回读。Use to find and fix broken links

针对难复现问题增加最少的诊断日志并用实际输出定位根因。支持明确输入与结果回读。Use to debug a problem with targeted

根据报错和复现证据定位根因、实施修复并验证原路径。支持明确输入与结果回读。Use to diagnose and fix a software

围绕明确验证命令持续定位和修复失败项直到通过或遇到真实阻塞。支持明确输入与结果回读。Use to fix errors until the

根据项目用途制作版本化 Logo 草稿及应用图标，并按确认范围接入。支持明确输入与结果回读。Use to create a logo and

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

安装并按项目品牌配置 shadcn/ui，保留现有主题和组件修改。支持明确输入与结果回读。Use to install and configure

将界面中不合适的 emoji 替换为语义一致的图标或简洁文案。支持明确输入与结果回读。Use to replace interface emoji

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

A green PR, a controller reporting success, and not one line of the new code running

Run an ad-hoc ordered chain of pm-skills with shared context (ephemeral; routes to the pm-workflow-orchestrator)

Run the Customer Discovery workflow (research -> JTBD -> opportunities -> problem)

Run the Design Sprint workflow (5-day prototype-and-test arc producing a Decider's build/iterate/pivot/stop call)

Run the Feature Kickoff workflow (problem -> hypothesis -> PRD -> stories)

Run the Foundation Sprint workflow (2-day strategic-alignment arc producing a Founding Hypothesis)

Run the end-to-end Foundation Sprint + Design Sprint workflow with narrative handoff

Run the Post-Launch Learning workflow (instrumentation -> dashboard -> results -> retro -> lessons)

Run the Product Strategy workflow (competitive analysis -> stakeholders -> opportunities -> solution -> ADR)

Run the Sprint Planning workflow (refinement -> stories -> edge cases)

Run the Stakeholder Alignment workflow (stakeholders -> problem -> solution -> launch)

Run the Technical Discovery workflow (spike -> ADR -> design rationale)

Placeholder command file for the WS-T9 dual-shell parity smoke. No count phrases.

Fast non-interactive briefing before any meeting — auto-detects your next calendar event, pulls relationship history, surfaces open commitments, and produces a one-page brief in under 30 seconds. Use this whenever the user says "brief me", "give me a quick brief", "what's coming up", "background on my next call", "who am I meeting next", "brief me on Sarah", "I have a call in 10 min", "quick rundown", or right before walking into a meeting. Different from /minutes-prep — brief is the fast hook-fireable version that doesn't ask questions and doesn't set goals. Use brief when speed matters; use prep when the user wants to think hard about goals first.

Manage old recordings — find large files, archive old meetings, delete processed originals. Use when the user says "clean up recordings", "how much space are meetings using", "delete old recordings", "archive meetings", "manage meeting storage", or asks about disk space from minutes.

Start and control Minutes Coach, the separate real-time copilot HUD, with an explicit meeting goal. Use only for explicit Coach or HUD lifecycle requests such as "start Minutes Coach", "open the Coach HUD", "pause Minutes Coach", "resume Minutes Coach", "Minutes Coach status", or "stop Minutes Coach". Do not use for requests that explicitly ask the current terminal agent to watch or strategize; those belong to minutes-live-sidekick. An ambiguous request such as "coach me live" requires one short surface clarification and must not automatically start Coach.

Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution. Use when the user says "debrief", "what just happened in that meeting", "what did we decide", "debrief that call", "post-meeting", "what changed", or right after stopping a recording.

Policy-safe relationship rankings, commitments, aliases, person profiles, and topic research. Always use Minutes' bounded native CLI surfaces; never build or read a durable graph cache.

Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.

Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index. Use when the user asks "ingest my meetings", "update my knowledge base", "extract facts from meetings", "sync meetings to wiki", "backfill knowledge", or wants their PARA/Obsidian/wiki profiles updated from conversation data.

Health-check your meeting knowledge for contradictions, stale commitments, and decision conflicts. Use when the user asks "any conflicts in my meetings", "check for stale action items", "lint my meetings", "consistency check", "are there contradictions", or wants to audit their decision history.

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-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…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP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

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi 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…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.