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Found 144 Skills
Optional AI SDLC architecture workflow. Use when an AI assistant needs to define system boundaries, components, interfaces, architectural constraints, alternatives, decisions, tradeoffs, risks, or validation for a feature and produce routed human and machine artifacts linked to requirements and durable decisions. Supports `--quick-flow` for focused design and `--full-flow` for strict decision, risk, and validation coverage.
Portable AI SDLC shared-helper runtime. Use when an AI assistant installs, verifies, diagnoses, or repairs project-scoped AI SDLC skills whose deterministic scripts depend on shared state, artifact, context, path, TOON, migration, or index modules. This is an installation dependency, not a lifecycle entry point.
AI SDLC repository spec-driven development workflow. Use when an AI assistant receives a medium or large feature, refactor, API change, architecture change, provider integration change, or any request that must follow requirements, design, test cases, QA planning, tasks, implementation, and validation. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution.
Multi-agent PR and code review workflow for projects using multiple AI assistants (Claude, GitHub Copilot/Codex, Gemini Code Assist). Use when working with pull requests, code reviews, commits, or addressing review feedback. Teaches how to check all feedback sources (conversation, inline, reviews), respond to inline bot comments, create Fix Reports, and coordinate between agents that use different comment formats. Critical for ensuring no feedback is missed from external review bots.
Claude Code hooks configuration and development. Covers hook lifecycle events, configuration patterns, input/output schemas, and common automation use cases. Use when user mentions hooks, automation, PreToolUse, PostToolUse, SessionStart, SubagentStart, PermissionRequest, WorktreeCreate, WorktreeRemove, TeammateIdle, TaskCompleted, ConfigChange, or needs to enforce consistent behavior in Claude Code workflows.
Channel the mental models, decision frameworks, and communication style of real experts (Steve Jobs, DHH, Rich Hickey, etc.) to approach problems the way they would. Use when the user says "summon", "channel", "what would [name] think", "ask [name]", or wants an expert perspective on a problem.
Generate and evaluate solution options
Use this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
OpenClaw AI工作助手完整中文教程 - 安装配置、Skills扩展、自动化工作流和实战案例
Delegate a task to Cursor's CLI agent (code review, Q&A, planning) for a second opinion from a non-Claude model
Trade stocks, ETFs, crypto, and options through Alpaca's MCP server using natural language in AI assistants
Set up the Basic Memory plugin for this project — a short guided interview that configures the project mapping, seeds note schemas, learns or suggests placement conventions, and enables capture reflexes. Use when the user runs /basic-memory:setup, says "set up basic memory", or asks to configure/bootstrap the plugin.