Free to get · One-click to use
USE FOR news search. Returns news articles with title, URL, description, age, thumbnail. Supports freshness and date range filtering, SafeSearch filter and Goggles for custom ranking.
Fully autonomous execution mode. When triggered by '/autopilot', 'autopilot mode', '자율 실행', or '알아서 해줘', this skill takes a development task and autonomously plans, implements, tests, and delivers without user intervention. Uses the planner agent to decompose work, then dispatches appropriate agents in parallel where possible. --- # Autopilot — Fully Autonomous Execution Mode Autopilot mode handles a development task end-to-end without user intervention. ## Workflow ### Step 1: Gather Requirements Use `AskUserQuestion` to understand the task: ```json { "questions": [ { "question": "What task should autopilot handle?", "header": "Task", "options": [ {"label": "Implement feature", "description": "Build a new feature from scratch"}, {"label": "Fix bugs", "description": "Diagnose and fix one or more bugs"}, {"label": "Refactor code", "description": "Restructure existing code without changing behavior"}, {"label": "Full cycle", "description": "Plan → Implement → Test → Review → Document"} ], "multiSelect": false }, { "question": "What quality level is required?", "header": "Quality", "options": [ {"label": "Production (Recommended)", "description": "Full tests, code review, documentation. Uses Sonnet/Opus."}, {"label": "Prototype", "description": "Working code, minimal tests. Uses mostly Haiku/Sonnet."}, {"label": "Maximum", "description": "Production + security review + critic review. Uses Opus heavily."} ], "multiSelect": false } ] } ``` ### Step 2: Plan Dispatch the **planner** agent (Opus) to: 1. Analyze the codebase context 2. Decompose the task into subtasks 3. Assign tiers and agents to each subtask 4. Identify parallel execution opportunities 5. Define quality gates ### Step 3: Execute Based on the plan, dispatch agents in the optimal order: **Parallel phase** (independent tasks): - Dispatch multiple agents simultaneously using parallel `Task` calls - Explorer (Haiku) for codebase scanning - Researcher (Sonnet) for technical investigation if needed **Sequential p
Brief description of the skill's function and usage scenario.
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:
