Free to get · One-click to use
This skill should be used when the user asks to change "worker lifecycle", "cancellation", "retrigger behavior", "state machine", "delivery receipts", "timeouts", or "race conditions". Enforces explicit async/state invariants and targeted race-safe verification.
JSONL log file management rules for cc-viewer. Use when working on cc-viewer's log file creation, rotation, resume, cleanup, or file watching logic. Covers interceptor.js and server.js log lifecycle. Also covers the detailed record schema including request body, response body, stream assembly, and cache-related fields.
Configure periodic health checks via HEARTBEAT.md and the /heartbeat command.
Quick workspace health check — verify project structure, config paths, and environment
Manage physical sensors, cameras, and actuators via the bubbaloop skill runtime. Query real-time sensor data, control node lifecycle, and monitor hardware health.
Generates Architecture Decision Records (ADRs) capturing context, decision rationale, alternatives considered, and projected consequences. Produces numbered, status-tracked documents following the standard ADR format with proper metadata lifecycle.
Start or health-check docketeer in dev mode
Use when user triggers [pm] alone to check current lifecycle state - runs progress sync for active issues or status check when idle
Use this skill when the user wants to "create branch", "rename branch", "smart branch name", "link branch to issue", or manage branch lifecycle. Provides intelligent branch naming with automatic issue linking following the pattern {issueNum}-{workType}/{kebab-name}.
Create new launchd daemons for macOS — covers plist generation, shell wrappers, secret resolution, logging, state persistence, and lifecycle management
Analyze ego-centric social networks to extract network size, composition, tie strength, and multiplexity using R egor package. Use for personal network data, social support analysis, or network health research.
Analyze issue history to understand project health, trends, and progress. Use this skill when users ask about velocity, bug trends, technical debt, or want to know "are we making progress?"
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 AI semantic + 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:
