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Found 5,666 Skills
End-to-end orchestration for non-trivial software feature development. Use this skill whenever the user asks to implement a PR-sized feature, break down a plan, have subagents review a plan, run a plan-review-development-acceptance loop, coordinate multiple review perspectives, produce an acceptance report, or generate an HTML PR summary. Prefer this skill for multi-step code changes even if the user only says "build this feature" and the task is not a tiny one-file edit.
Use skill if you are running many small Codex-native web searches through codex exec with per-question files and parseable answer artifacts.
Dynamic MCP server discovery and code-mode execution via central registry. Use for multiple MCP integrations, tool discovery, progressive disclosure, or encountering MCP context bloat, changing server sets, large tool sets.
Search YouTube in bulk, grab transcripts, get embed snippets, fetch top comments, list a channel's recent uploads — for the photo-keywords-to-blog-post workflow. Trigger phrases: `search youtube for`, `find youtube videos about`, `get youtube transcript`, `find videos like`, `youtube embed for`, `top comments on`, `recent uploads from`, `latest videos from @`, `use youtube-pp`, `run youtube-pp`.
This skill should be used when the user asks to "create an OpenClaw skill", "make a claw skill", "build a skill for OpenClaw", "write a SKILL.md for openclaw", "add a skill to openclaw", "generate openclaw skill frontmatter", "create a clawhub skill", "port a skill to OpenClaw", "convert a Claude Code skill to claw", "migrate my skill to openclaw", or wants to author a new skill or port an existing Claude Code skill for the pi-coding-agent / OpenClaw ecosystem.
Share a short video that explains what you did. Use it for demos, walkthroughs, PR recaps, async handoffs, visual bug reports, design reviews, or any completed work that is easier to review in video form. Do not use it for trivial answers, active back-and-forth, unfinished work, or sensitive data.
Configure the project's skill stack and supervision preferences. Reads the curated registry in `skillpacks/skill_dictionary.yaml`, asks a short preset-first set of questions about workflow, dependency tolerance, autonomy style, and resource policy, then writes or updates `.co-researcher/skills.yaml`. Trigger phrases: "customize my stack", "configure skillpacks", "set up my skills", "choose presets", "configure supervision and packs", "personalize this project".
Quickly creates new Claude Code skills or translates ChatGPT projects into Claude Code skills. Handles skill scaffolding, frontmatter, directory structure, and ChatGPT-to-Claude migration. Use when the user wants to 'create a skill,' 'make a new slash command,' 'convert a ChatGPT project,' 'translate a GPT to Claude,' or 'migrate prompts to Claude Code.' For full eval/testing/benchmarking workflows, use skill-creator instead.
Install context files from registry. Use when user runs /install-context, says "install context", "setup context", or when context is missing and the user needs to get started.
Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.
Execute Python code in isolated rootless containers with MCP server proxying to reduce context bloat from 30K to 200 tokens
Decomposition playbook + anti-temptation rules for an orchestrator profile routing work through Kanban. The "don't do the work yourself" rule and the basic lifecycle are auto-injected into every kanban worker's system prompt; this skill is the deeper playbook when you're specifically playing the orchestrator role.