- 📁 references/
- 📄 SKILL.md
coding-standards
Detects code smells, anti-patterns, and readability issues. Use when implementing features, reviewing code, or refactoring.
19 days ago · Uploaded
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Daily Featured Skills Count
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♾️ Free & Open Source 🛡️ Secure & Worry-Free
Import Skills
- 📄 SKILL.md
configurator
Configure CCA (Continuous Clearing Auction) smart contract parameters through an interactive bulk form flow. Use when user says "configure auction", "cca auction", "setup token auction", "auction configuration", "continuous auction", or mentions CCA contracts.
18 days ago · Uploaded
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- 📄 SKILL.md
agentsh-policy-create
Use when creating a new AgentSH security policy, making a policy for an agent sandbox, CI pipeline, or development environment, or asking for a new policy YAML file
19 days ago · Uploaded
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- 📁 references/
- 📄 SKILL.md
camoufox-cli
Anti-detect browser automation CLI for AI agents. Use when the user needs to interact with websites with bot detection, CAPTCHAs, or anti-bot blocks, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task that requires bypassing fingerprint checks.
17 days ago · Uploaded
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- 📄 SKILL.md
agent-kanban
CLI reference for agents — how to claim tasks, log progress, submit for review
15 days ago · Uploaded
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- 📁 references/
- 📄 SKILL.md
chunking-strategy
Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages (10-20%), and semantic boundary detection methods. Validates semantic coherence and evaluates retrieval precision/recall metrics. Use when building retrieval-augmented generation systems, vector databases, or processing large documents.
17 days ago · Uploaded
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- 📁 examples/
- 📁 references/
- 📄 .gitignore
- 📄 README.md
- 📄 SKILL.md
dify-dsl-generator
专业的 Dify 工作流 DSL/YML 文件生成器，根据用户业务需求自动生成完整的 Dify 工作流配置文件，支持各种节点类型和复杂工作流逻辑
19 days ago · Uploaded
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- 📁 skills/
- 📁 src/
- 📄 index.ts
- 📄 INSTALL_OPENCLAW.md
- 📄 INSTALL_OPENCLAW_zh.md
LycheeMem
This plugin is a thin adapter between OpenClaw and LycheeMem. It does not replace `memory-core`, does not claim `plugins.slots.memory`, and does not duplicate LycheeMem algorithms.
19 days ago · Uploaded
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- 📁 references/
- 📄 SKILL.md
skill-optimizer
Benchmark and optimize SDK, CLI, MCP, and prompt documentation so every LLM model can reliably call the right actions with correct arguments. Use when setting up skill-optimizer for a project, running benchmarks, interpreting results, optimizing SKILL.md files, or diagnosing configuration issues. Also use when working inside the skill-optimizer repository itself — for running against mock repos, testing changes, or understanding the codebase. --- # skill-optimizer Benchmark your SDK / CLI / MCP / prompt docs against multiple LLMs, measure whether they call the right actions with the right arguments, and iteratively rewrite your guidance until a quality floor is met across every model. ## Context Detection Before doing anything, figure out where you are: 1. **Look for `skill-optimizer.json`** (in CWD or parent directories). If found, you are in a **configured target project**. Use that file path as `<config-path>` in all commands below. 2. **Look for `src/cli.ts` and a `package.json` with `"name": "skill-optimizer"`**. If found, you are in the **optimizer repo itself**. You can use dev commands directly (`npm run build`, `npm test`, `npx tsx src/cli.ts`). To benchmark a target, either use the mock repos in `mock-repos/` or point `--config` at an external project's config. 3. **Neither found** — you are in an **unconfigured target project**. Read `references/setup.md` to scaffold a config before proceeding. ## Quick Reference | Task | Command | |------|---------| | Init config | `npx skill-optimizer init cli\|sdk\|mcp\|prompt` | | Init (non-interactive) | `npx skill-optimizer init cli --yes` | | Import CLI commands | `npx skill-optimizer import-commands --from ./src/cli.ts` | | Import (binary scrape) | `npx skill-optimizer import-commands --from my-cli --scrape` | | Diagnose config | `npx skill-optimizer doctor --config <config-path>` | | Auto-fix config | `npx skill-optimizer doctor --fix --config <config-path>` | | Dry run (no LLM calls) | `npx skill-optimizer run -
23 hours ago · Uploaded
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- 📄 SKILL.md
okx-cex-bot
Manage Grid bots (spot/contract/coin-margined) and DCA Martingale bots (Spot DCA 现货马丁 / Contract DCA 合约马丁) on OKX. Covers create, stop, amend, monitor P&L, TP/SL, margin/investment adjustment, and AI-recommended parameters. Requires API credentials. Not for regular orders (okx-cex-trade), market data (okx-cex-market), or account info (okx-cex-portfolio).
14 days ago · Uploaded
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- 📁 references/
- 📁 scripts/
- 📄 SKILL.md
ai-daily-news
Fetches AI news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization. Optionally creates beautiful HTML webpages with Apple-style themes and shareable card images. Use when user asks about AI news, daily tech updates, or wants news organized by date or category.
14 days ago · Uploaded
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- 📁 scripts/
- 📄 README.md
- 📄 REFERENCE.md
- 📄 SKILL.md
cross-platform-guardian
Ensure cross-platform compatibility across macOS (Intel/ARM), Ubuntu, and Fedora for this dotfiles repository. Detects and auto-fixes hardcoded paths, platform-specific assumptions, package availability issues, and test coverage gaps. Use when adding features, updating configs, bumping Nix flake, or investigating platform-specific bugs. Keywords: cross-platform, compatibility, macOS, Linux, Ubuntu, Fedora, platform, portability, Nix flake, Docker test, CI
18 days ago · Uploaded
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Skill File Structure Sample (Reference)
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
SKILL.md Requirements
├─ ⭐ 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
Why SkillWink?
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.
FAQ
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
1. What are Agent Skills?
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.
2. How do Skills work?
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.
3. How can I quickly find the right skill?
Use these three together:
- Semantic search: describe your goal in natural language.
- Multi-filtering: category/tag/author/language/license.
- Sort by downloads/likes/comments/updated to find higher-quality skills.
4. Which import methods are supported?
- Upload archive: .zip / .skill (recommended)
- Upload skills folder
- Import from GitHub repository
Note: file size for all methods should be within 10MB.
5. How to use in Claude / Codex?
Typical paths (may vary by local setup):
- Claude Code：~/.claude/skills/
- Codex CLI：~/.codex/skills/
One SKILL.md can usually be reused across tools.
6. Can one skill be shared 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.
7. Are these skills safe to use?
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
8. Why does it not work after import?
Most common reasons:
- Wrong folder path or nested one level too deep
- Invalid/incomplete SKILL.md fields or format
- Dependencies missing (Python/Node/CLI)
- Tool has not reloaded skills yet
9. Does SkillWink include duplicates/low-quality skills?
We try to avoid that. Use ranking + comments to surface better skills:
- Duplicate skills: compare differences (speed/stability/focus)
- Low quality skills: regularly cleaned up