Maps topics and keywords from user questions to QwenPaw official documentation paths and common source code entry points, reducing blind searching. Intended for the built-in QA Agent to quickly identify which files to read when answering questions about installation, configuration, skills, MCP, multi-agent, memory, CLI, etc.
Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging issues, reviewing PRs, releasing versions, writing LinkedIn posts, announcing releases, fixing bugs, merging contributions, validating ENV vars, testing adapters, or syncing branches.
Given a GitHub issue number, plan and implement the work described in the issue. Operates iteratively - creates an implementation plan, responds to feedback, and only builds when the 'state:agent-ready' label is applied. Includes tests, documentation updates, and PR creation. Trigger keywords - build from issue, implement issue, work on issue, build issue, start issue.
Think before building. Use when the user asks to reason about, analyze, evaluate, compare options, make an architecture decision, choose between approaches, think through a problem, or assess trade-offs. Also use when the user asks 'why did we...', 'should we...', 'what are our options', 'is this the right approach', or wants to frame/reframe a problem.
Consult Codex as an independent expert. Sends a question or task to codex exec and returns the response.
Walk the codebase looking for TypeScript technical debt — oversized files, DRY violations, dead code, missing tests, sloppy typing (`any`/`@ts-ignore`), and weak abstractions. Categorize each finding into a discrete unit of work; open a focused PR for mechanically-safe fixes and file a GitHub issue for refactors that need design discussion. One PR or one issue per finding — never bundled. Use when the user asks to "audit the architecture", "find tech debt", "look for code smells", "do an architecture sweep", or when invoked nightly by a scheduled remote agent. Has working-tree side effects (branches + PRs) and GitHub side effects (issues, labels). Quiet-day result is "codebase looks good" with no PR or issue — that's a valid outcome.
Consult Codex as an independent expert. Sends a question or task to codex exec and returns the response.
Review code for bugs, style issues, and improvement opportunities
Use when the user wants to fix a Sentry issue, auto-repair a bug from Sentry, or create a fix PR for a Sentry error. Triggers on "修复 sentry", "fix sentry issue", "sentry 修复", "sentry fix".
Manage GitHub issues locally as Markdown files. Use for triaging, searching, editing, and creating issues without leaving your editor or terminal.
Review code for best practices, bugs, and security issues.
Use whenever the user mentions a Jira issue key and wants more than a surface-level lookup — "Read PROJ-123", "What's PROJ-123 about?", "Give me context on PROJ-123", "Deep dive PROJ-123", "What's blocking PROJ-123?", "Summarize PROJ-123 and its dependencies", "I need to work on PROJ-123, what should I know?", or any request to understand an issue's purpose, scope, or requirements. Thoroughly researches and synthesizes a Jira issue including all linked issues, sub-tasks, blocked dependencies, and supporting Confluence documentation.
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:
