- 📄 SKILL.md
ZIP-your-Research
A *repository-first* agent skill: when the user uploads the **ZIP your Research** release ZIP, you must:
A *repository-first* agent skill: when the user uploads the **ZIP your Research** release ZIP, you must:
Write, test, and deploy workflow automations using the Floww SDK. Use when the user wants to create automations, build workflows, set up triggers (cron, webhook, GitHub, Slack, Discord, etc.), deploy code with Floww, edit existing workflows, or mentions the Floww SDK.
Persistent agent team dispatcher with lead coordination. This skill should be used after cw-plan to execute tasks via a managed team (requires CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 and CLAUDE_CODE_TASK_LIST_ID).
Download and install agent skills from URLs into the ~/.chatshell/skills/ directory. This skill contains the exact workflow for parsing GitHub, GitLab, Bitbucket, and direct URLs, handling all URL variants (repo root, /tree/ directory, /blob/ file, raw content links), detecting single vs. multi-skill repos, managing conflicts with backups, and verifying installations. ALWAYS use this skill when the user shares any URL that might contain a SKILL.md or asks to install/add/download/grab/set up a skill from a link -- the skill knows the correct install path and directory structure that the agent cannot infer on its own. Also triggers when a user pastes a GitHub/GitLab/Bitbucket URL mentioning "skill" in the path.
코드 변경으로 `.ai-agents/context/` 파일이 현재 코드와 불일치할 때
Create, optimize, update, and validate AGENTS.md files with maximum token efficiency. Use when the user asks to (1) create new AGENTS.md files for any repository, (2) optimize/condense existing AGENTS.md to reduce token count, (3) update/refresh AGENTS.md to sync with codebase changes, (4) validate AGENTS.md quality and completeness, or (5) improve AGENTS.md files to be more effective for AI agents. Always generates token-efficient, condensed output focused on actionable commands and patterns while maintaining model-agnostic language.
Search and install agent skills from ClawHub, the public skill registry.
Infrastructure layer for AI agent swarms — 88 MCP tools for mesh control, A2A protocol, OmniMesh VPN, CyberSync, web scraping, firewall management, browser automation, and more. ~80ms execution.
Build production-ready AI agents with Microsoft Foundry and Agent Framework. Use when creating AI agents, selecting LLM models, implementing agent orchestration, adding tracing/observability, or evaluating agent quality. Covers agent architecture, model selection, multi-agent workflows, and production deployment.
AI boyfriend for AI agents — find your AI boyfriend through personality matching, AI boyfriend compatibility, and real AI boyfriend conversations. AI boyfriend connections and AI boyfriend relationships on inbed.ai. AI男友、虚拟男友。Novio IA, novio virtual.
Token-saving execution layer for OpenClaw v2.0. Runs skill commands in sandboxed subprocesses where only compact summaries enter the context window. Provides session continuity via SQLite event tracking that survives conversation compaction. Supports intent-driven filtering, batched multi-skill execution, and progressive memory loading. Includes automated installer that wires context-saver into AGENTS.md, TOOLS.md, and cron jobs with a single command. Use this skill to wrap any data-heavy operation to reduce token consumption by 70-98%.
Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, Google Drive, X (Twitter), and packages with Nia AI. Includes auth bootstrapping, Oracle autonomous research, GitHub live search, Tracer agent, dependency analysis, context sharing, code advisor, document agent, data extraction, filesystem operations, and generic connectors.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: