- 📁 examples/
- 📄 SKILL.md
claude-code-source-all-in-one
// Auto-stub for source build
// Auto-stub for source build
Build agents with the Bridgic Amphibious dual-mode framework — combining LLM-driven (agent) and deterministic (workflow) execution with automatic fallback and human-in-the-loop support. Use when: (1) writing code that imports from bridgic.amphibious, (2) creating AmphibiousAutoma subclasses, (3) defining CognitiveWorker think units, (4) implementing on_agent/on_workflow methods, (5) working with CognitiveContext, Exposure system, or cognitive policies, (6) adding human-in-the-loop interactions (HumanCall, request_human, request_human_tool), (7) scaffolding a new amphibious project via CLI, (8) any task involving the bridgic-amphibious framework.
Use when a user asks to initialize a domain flywheel from natural language context, especially when environment details are incomplete or mixed with execution assumptions.
You are an expert at tuning LLM inference deployments for agentic swarm workloads (Claude Code, Cursor, Copilot).
Clerk backend REST API
Perform account reconciliations comparing general ledger balances against subledgers, bank statements, or external records. Use for bank reconciliation, GL-to-subledger reconciliation, intercompany reconciliation, balance sheet reconciliation, reconciling item analysis, outstanding item aging, or clearing open items.
论文全能处理工具。每当用户上传论文 PDF、粘贴论文文本/摘要,或提到"论文"、"paper"、"文献"、"arxiv"时必须使用此 skill。功能包括:深度分析报告、思维导图、审稿意见、宣传推广脚本、播客音频生成。即使用户只说"帮我看这篇论文"或直接上传 PDF 也必须触发。
Full-autopilot trend discovery, deep research, and social publishing pipeline. Uses trend-pulse (20 sources), cf-browser (headless Chrome), and notebooklm (research + artifacts) MCP servers. Generates algorithm-optimized content based on Meta's 7 patent-based ranking algorithms. Use when user mentions trending topics, content creation, social media publishing, trend analysis, research pipeline, viral content, content scoring, or Threads posting.
Create new OpenClaw skills interactively
Find the bugs your tests miss. Define what your Solana program must guarantee in a .qedspec; QEDGen validates it, generates tests and proofs, and scaffolds agent-fill Rust code. Trigger when the user asks for "qedgen", "qedspec", "verify my code", "prove correctness", formal verification, property testing, generated Kani/proptest/Lean artifacts, or Solana program correctness.
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Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing... Українською: проектуй API, спроектувати ендпоінт, API дизайн, REST, GraphQL, версіонування API, контракт API, документація API, масштабованість, ресурси, маршрути, HTTP методи, відповідь сервера, структура запиту.
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: