智能体
Agent 规划、多步流程与编排
release-procedures
groupzer0
Version management, release verification, and deployment procedures for software releases. Includes semver guidance, version consistency checks, and platform-specific constraints.
code-review-checklist
groupzer0
Structured code review criteria for pre-implementation plan review (Critic) and post-implementation security/quality review. Covers security, performance, maintainability, and correctness with severity ratings.
chrome-webstore-release-blueprint
iannuttall
Guide a user end-to-end through setting up Chrome Web Store API release automation in any repository. Use when asked to walk someone through OAuth/CWS credential setup, refresh token creation, local/CI secret setup, version-based publish automation, and submission status checks.
find-skills
iannuttall
Find and install agent skills with npx playbooks find skill and npx playbooks add skill. Use whenever a skill needs to be discovered or installed.
workflow
bntvllnt
High-velocity solo development workflow. Idea to production same-day. 9 commands: plan, spike, ship, review, spec-review, focus, done, drop, workflow. Auto-activates on: "plan", "spec", "ship", "spike", "spec-review", "review spec", "analyze spec", "challenge spec", "focus", "what should i do", "prioritize", "overwhelmed", "what should i work on", "done", "finish", "complete", "drop", "abandon", "workflow", "what's next", "whats next", "next step", "what now".
analyze
bntvllnt
Universal multi-perspective analyzer for any topic, file, idea, or decision. Extract key points, find gaps/risks, identify improvements with actionable plans.
git
bntvllnt
Unified git workflow for branch-first development: status/diff review, security-first commits, worktrees, and PR creation/review via gh. Auto-activates on: "commit", "push", "branch", "worktree", "pr", "pull request", "merge", "rebase", "git".
infinite-gratitude
sstklen
Multi-agent research that keeps bringing gifts back — like cats! Dispatch multiple agents to research a topic in parallel, compile findings, and iterate on new discoveries.
agent-canvas
WHQ25
Draw diagrams, flowcharts, and visualizations on an Excalidraw canvas. Use when the user asks to draw, visualize, create diagrams, or sketch ideas.
agent-browser
M4n5ter
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
team-coordination
duyet
Spawn and coordinate team-agents and orchestration patterns for parallel execution. Use for complex multi-component work.
orchestration
duyet
Orchestrate complex work through parallel agent coordination. Decompose requests into task graphs, spawn background workers, and synthesize results elegantly. Use for multi-component features, large investigations, or any work benefiting from parallelization.
grey-haven-tdd-orchestration
greyhaven-ai
"Master TDD orchestration with multi-agent coordination, strict red-green-refactor enforcement, automated test generation, coverage tracking, and >90% coverage quality gates. Supports Claude Teams for parallel TDD workflows with plan approval gates, or falls back to sequential subagent coordination. Coordinates tdd-python, tdd-typescript, and test-generator agents. Use when implementing features with TDD workflow, coordinating multiple TDD agents, enforcing test-first development, orchestrating TDD teams, or when user mentions 'TDD workflow', 'test-first', 'TDD orchestration', 'multi-agent TDD', 'test coverage', or 'red-green-refactor'."
grey-haven-suite-audit
greyhaven-ai
"Meta-level plugin suite auditor that uses subagents to analyze any plugin for usability improvements, missing agents, duplication, and workflow optimizations. Generates comprehensive reports with user-approved todo conversion. Triggers: 'audit suite', 'analyze plugin usability', 'find duplicate agents', 'suggest new agents', 'optimize plugin workflow', 'plugin gap analysis'."
skill-improver
bfollington
This skill should be used at natural checkpoints (after completing complex tasks, at session end, or when friction occurs) to reflect on skill and process execution and identify targeted improvements. Use when experiencing confusion, repeated failures, or discovering new patterns that should be codified into skills for smoother future operation.
agently-task-dev
okwinds
Use only when the user explicitly wants to build with the Agently framework (mentions Agently/agently/OpenAICompatible/TriggerFlow/ToolExtension/ChromaCollection, or says “用 Agently 做/用 agently 做”). Deliver runnable code plus regression tests validating schema/ensure_keys and streaming (delta/instant/streaming_parse), with optional tools (Search/Browse/MCP), TriggerFlow orchestration, KB (ChromaDB), and serviceization (SSE/WS/HTTP). Do not use for generic streaming/testing questions that are not about Agently, or for prompt-only writing without tests/structure.
ai-agent-prd
okwinds
"Write comprehensive PRDs for AI Agent products—covering agent identity, capability architecture (skills, tools, memory, RAG, workflows), behavior specifications, safety guardrails, and evaluation frameworks. Use when: designing conversational agents, autonomous agents, copilots, multi-agent systems, or any LLM-powered agentic application. Triggers: 'AI agent PRD', 'agent product requirements', 'design AI agent', 'agent capability spec', 'LLM agent requirements', '智能体PRD', '智能体需求文档', '对话机器人PRD', '多智能体系统需求'. Anti-triggers: '传统PRD（非智能体）', '只润色提示词/只写Prompt', '只写用户故事/验收标准但不涉及工具调用、记忆或RAG'."
skill-create-flow
okwinds
Create new high-quality agent skills with a standalone, repeatable workflow (no dependency on other skills). Use when you want to go from a vague skill idea → narrow scope → extract expert frameworks → write SKILL.md + examples/evals/index/changelog artifacts → self-validate with test prompts.
skill-review-audit
okwinds
Use when a user asks to review, interpret, or audit an AI agent skill (SKILL.md plus bundled scripts/references/assets) for capabilities, triggering behavior, tool/command usage, safety & privacy risk, supply-chain provenance, quality gaps, and improvement recommendations; also use when validating a skill before installing or deploying it.
prd-to-engineering-spec
okwinds
"Transform PRD (Product Requirements Document) into actionable engineering specifications. Creates detailed technical specs that developers can implement step-by-step without ambiguity. Covers data modeling, API design, business logic, security architecture, deployment, and agent system design. Use when: converting product requirements to technical specs, validating PRD completeness, planning technical implementation, creating task breakdowns, or defining test specifications. Triggers: 'PRD to spec', 'convert requirements', 'technical spec from PRD', 'engineering doc from requirements', 'validate PRD'."
extract-flow-scenario
nweii
Extracts a sequence of workflow events from conversation context into a structured markdown list. Surfaces actors, state changes, and pain points to serve as raw data for any later synthesis, design planning, or spec development. Use when asked to document an actual operational flow, user journey, or scenario from a conversation to capture exactly what happened.
chainaware-behavioral-prediction
ChainAware
Use this skill whenever a user asks about wallet safety, fraud risk, rug pull detection, wallet behavior analysis, DeFi personalization, on-chain reputation scoring, AML checks, token ranking by holder quality, airdrop screening, lending risk, token launch auditing, or AI agent trust scoring. Triggers on questions like: "is this wallet safe?", "will this pool rug pull?", "what will this address do next?", "score this wallet", "detect fraud for address", "personalize my DeFi agent", "rank this token", "top AI tokens", "best holders of this token", "check this contract", "is this token safe?", "profile this wallet", "KYC this address", "pre-screen this user", "AML check this wallet", "is this address suspicious?", "screen this wallet before onboarding", "what is the risk score of this address?", "analyze on-chain behavior", "is this LP safe to deposit?", "will this contract rug?", "what DeFi products suit this wallet?", "segment this user", "what is this wallet's experience level?", "find strong token holders", "which token has the best community?", "rank tokens by holder quality", "should we list this token?", "audit this launch", "is this deployer trustworthy?", "vet this IDO", "launch safety check", "screen this airdrop list", "filter bots from airdrop", "rank these wallets for token distribution", "fair airdrop allocation", "assess this borrower", "what collateral ratio for this wallet?", "lending risk for 0x...", "what interest rate for this borrower?", "should I lend to this wallet?", "screen this AI agent", "is this agent wallet safe?", "agent trust score for 0x...", "check the feeder wallet for this agent", "can I trust this agent?", "route this wallet to onboarding", "is this user a beginner?", "skip onboarding for this wallet?", or any request to analyze a blockchain wallet address, smart contract, token, or AI agent for risk, behavior, intent, community strength, or trustworthiness. Also use when integrating the ChainAware MCP server into Claude Code, Cursor, ChatGPT, or any MCP-compatible AI agent framework.
proactive-agent
wangyendt
"让 AI 助手从「等待任务」变成「主动预见」的架构设计。包含 WAL 协议、Working Buffer、自动定时任务等经过实战验证的模式。"
comprehensive-research
v1truv1us
Multi-phase research orchestration for thorough codebase, documentation, and external knowledge investigation. Invoked by /ai-eng/research command. Use when conducting deep analysis, exploring codebases, investigating patterns, or synthesizing findings from multiple sources.