Evidence-based endurance coaching protocol (v11.34). Use when analyzing training data, reviewing sessions, generating pre/post-workout reports, planning workouts, answering training questions, or giving endurance coaching advice. Always read or fetch athlete JSON data before responding to any training question.
Extract research skills from conversation history into ResearchSkills skill files.
Use when reviewing code for security vulnerabilities, implementing authentication/authorization, handling user input, or discussing web application security. Covers OWASP Top 10:2025, ASVS 5.0, and Agentic AI security (2026).
Create or schedule a context farmer. Checks existing farmers and offers to build new ones or schedule existing ones.
Forge-focused engineering workflow for Rust apps with generated frontend bindings. Activate when the repo contains `forge.toml`, Forge macros, or Forge CLI-driven generation.
Records an architecture or design decision as a structured ADR file. Trigger: '/adr', 'record this decision', 'write an adr', 'document this choice', 'architecture decision', 'why did we choose'. Use after a decision is made — not during exploration. Companion to /brief (brief locks scope; adr records the key technical choices made during or after implementation).
Fast vault Q&A — quick lookups, decision history, blocker status, doc search. Uses QMD hybrid search when available, falls back to vault grep. Use for "/ask what did we decide about auth?" or "/ask who's blocked?".
Complete CoinGecko Solana API integration for token prices, DEX pool data, OHLCV charts, trades, and market analytics. Use for building trading bots, portfolio trackers, price feeds, and on-chain data applications.
Universal team coordination skill with dynamic role generation. Uses team-worker agent architecture with role-spec files. Only coordinator is built-in -- all worker roles are generated at runtime as role-specs and spawned via team-worker agent. Beat/cadence model for orchestration. Triggers on "Team Coordinate ".
This file is a placeholder. The actual SKILL.md is rendered from the shared
🇺🇸 B2B SaaS Full-Lifecycle Growth Playbook — From PMF validation to ecosystem growth. Real cases from HeyGen, Deel, Vercel, Supabase, AWS. PLG/SLG strategies, affiliate marketing, channel partnerships. 🇨🇳 AI 全球 B2B 产品增长指南 — 从 PMF 验证到生态化增长的完整操作手册。整合 HeyGen、Deel、Vercel、Supabase、AWS 等标杆案例。PLG/SLG 策略、联盟营销、渠道合作。 🇯🇵 B2B SaaS成長プレイブック — PMF検証からエコシステム成長まで。HeyGen、Deel、Vercel、Supabase、AWSの実例。PLG/SLG戦略、アフィリエイト、チャネルパートナーシップ。 🇰🇷 B2B SaaS 성장 플레이북 — PMF 검증부터 생태계 성장까지. HeyGen, Deel, Vercel, Supabase, AWS 실제 사례. PLG/SLG 전략, 제휴 마케팅, 채널 파트너십.
Use when working in this repo and the user asks to inspect, fetch, summarize, or troubleshoot Upstash Box logs. Covers per-box logs, global logs, box-name to box-id resolution, and the local helper script for BotStreet boxes.
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:
