spec-interviewing
Creates comprehensive specifications through deep technical interviews. Use when asked to create a spec, define requirements, interview for a config, or refine an existing specification document.
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Creates comprehensive specifications through deep technical interviews. Use when asked to create a spec, define requirements, interview for a config, or refine an existing specification document.
Create high-quality Claude Code skills with proper structure, effective descriptions, and best practices. Use when creating a new skill, writing SKILL.md files, setting up skill directories, or asking how to ma...
Create new AI agent implementations for the Yui Protocol system. Use when adding agents like Yui, Eiro, Kanshi.
Manage RAG (Retrieval-Augmented Generation) indexes. Use for indexing outputs, sessions, or checking RAG statistics.
Create multi-platform explainer videos (YouTube, Shorts, TikTok, Instagram, LinkedIn) with intelligent orchestration, Brand × Platform × Style configuration, and learning memory
Use when creating explainer videos, video content for YouTube/TikTok/Instagram/LinkedIn, or when user mentions /video command. Creates multi-platform explainer videos with intelligent orchestration, learning me...
Start iterative requirement clarification loop. Use this skill when the user has a vague requirement and wants to clarify it through structured questioning. Transforms unclear requirements into precise, actiona...
Execute NPM packages as AI agent tools - a flexible alternative to MCPs
Demonstrates how skills can include executable scripts for automation, calculations, transformations, or system interactions. Use when needing to execute Python, Bash, Node.js, or other scripts.
Auto-triggered skill that responds warmly when users greet the assistant. Activates when user says hello, hi, hey, greetings, good morning, good afternoon, or good evening.
Activates automatically when user greets warmly. Demonstrates the auto-trigger pattern—Claude detects friendly intent and engages accordingly.
OmO multi-agent orchestration skill. This skill should be used when the user invokes /omo or needs multi-agent coordination for complex tasks. Triggers on /omo command. Loads Sisyphus as the primary orchestrato...
Codex 执行者技能包。Claude 通过 codeagent-wrapper 派发任务时,根据任务类型路由到子技能。
Decide between a scripted workflow and an autonomous agent harness, then scaffold the chosen path. Use when scoping new agentic systems or tool integrations.
Design long-running agent harnesses with resumable checkpoints and initializer/coder handoffs. Use when tasks span multiple sessions or require recovery after interruption.
A meta-skill for authoring high-performance, verifiable, long-running MCP skills using Code Mode. This skill blends Anthropic and OpenAI skill-authoring guidance with Code-Mode-first, MCP-backed execution, dyna...
Use when a prompt or corpus is long/dense (multi-docs, logs, codebases) and you want a reproducible map/reduce pipeline. Trigger this skill to slice inputs, run per-slice codex/gemini subcalls, and aggregate re...
General skill authoring and improvement. Use when creating or updating any skill (with or without MCP), selecting structure, generating scaffolds, or packaging resources (scripts/references/assets/templates) th...
Build and run deterministic evaluation suites for agent workflows (single-turn or agentic). Use when you need reproducible eval runs with manifests, graders, metrics, and JSONL logs for capability or regression...
Fast environment briefing for agents and subagents. Use at session start to learn OS/shell, container/WSL/VM status, git repo + upstream + dirty state, Python venv status/locations, markdown folders to read, an...
Bidirectional planning for ambiguous or design-heavy tasks. Use when the user requests help breaking down a problem or formulating a plan, and also when an existing plan has too many gaps or needs refinement; c...
Audit tool integrations for deterministic behavior, error contracts, and logging before agents depend on them. Use when adding or updating tools or MCP servers.
Guide plan → instrument → execute → validate with explicit checkpoints and questions. Use for ambiguous tasks or when enforcing a consistent agent workflow.
Generates optimized prompts for AI professional developers through interactive clarification. Asks targeted questions to refine requirements, saves tokens, and ensures reliable outputs. Use when seeking the bes...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.