- 📄 SKILL.md
android-data-layer
Use when implementing the data layer in Android — Repository pattern, Room local database, offline-first synchronization, and coordinating local and remote sources.
Use when implementing the data layer in Android — Repository pattern, Room local database, offline-first synchronization, and coordinating local and remote sources.
Audit AGENTS.md / CLAUDE.md against the five high-leverage patterns (progressive disclosure, procedural workflows, decision tables, production code examples, domain rules with concrete alternatives). Reports per-pattern coverage, anti-patterns, and a prioritized fix list.
Expert guide for building AI-powered applications with the Glove framework. Use when working with glove-core, glove-react, glove-next, tools, display stack, model adapters, stores, any Glove example project, or deploying agents as sandboxed runtime services with Glovebox (glovebox / glovebox-kit / glovebox-client).
Manage a Brilliant Directories (BD) membership or directory website via its REST API. Use when the user mentions their BD site, their directory, their members/leads/posts, managing site content, or automating anything on their Brilliant Directories platform.
OpenClaw 安全部署指南 / Security deployment guide — help users secure their OpenClaw installation
Dynamic research workflow management with self-reflection and backtracking
Apply visual changes from the Retune overlay to source code. Use this skill when receiving output from retune MCP tools (retune_get_formatted_changes, retune_get_pending_changes) OR when the user pastes structured visual change output containing "# Visual Changes", "# Comments", "Prop Changes", "Attribute Changes", "SVG Attribute Changes", a Before/After changes table, or property diffs with Token/Variable columns. Triggers on: retune, "Visual Changes", "apply these changes", style diff, design tokens, design variables, property before/after table, visual tweaks, overlay changes, "Comment #", "Address each comment", "Prop Changes", "Attribute Changes".
Multi-source content aggregation for hot topics research. Supports 15+ data sources.
Creates RPC-style endpoint following layered architecture (Controller → Manager → Repository). Use when creating new API endpoints or CRUD operations.
AUDHD executive function accommodations — enforces friction-ordered, copy-paste-ready, shame-free output structure when enabled
Bulk-import existing project documents into Aegis knowledge base. Use when the user wants to import many documents at once, populate the knowledge base from existing docs, or batch-import architecture documentation.
Dynamic research workflow management with self-reflection and backtracking
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: