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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
walm00 walm00
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation scenarios context

clear-planner

Creates implementation plans for ALL work scenarios. MANDATORY entry point for the PLAN phase. 8-step workflow: Intent -> Discovery -> Scenario -> Context -> Template -> Approach -> Session -> Approval 2 scenarios: AGENTING (ecosystem work), DOCUMENTATION (context creation & refinement)

⬇0 ❤17 13 days ago · Uploaded Detail →
xiaolai xiaolai
from GitHub Tools & Productivity
  • 📄 SKILL.md
ai automation conventions

conventions

Use when writing, reviewing, or validating Claude Code plugin artifacts — check frontmatter schemas, hook event names, naming conventions, prompt structure, or reference syntax. Loaded by the NLPM scorer and checker agents for schema validation.

⬇0 ❤19 24 days ago · Uploaded Detail →
Hao0321 Hao0321
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 content_plan.example.md
  • 📄 SKILL.md
  • 📄 style_profile.example.md
instagram facebook 分析我的貼文風格

social-post

學使用者的 Facebook 個人貼文語氣，依 14 天內容策略日曆，自動產出並發佈到 FB / Instagram / Threads / X。使用時機：使用者說「發文」、「幫我寫一篇貼文」、「用我的風格發」、「今天發一篇」、「PO 一下」、「學我的語氣」、「分析我的貼文風格」、「重新規劃內容」、「排貼文」時一律觸發；即使只說「發一篇」、「PO 文」、「PO 個廢文」也要觸發。

⬇0 ❤14 8 days ago · Uploaded Detail →
Maximepodgorski Maximepodgorski
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 CHANGELOG.md
  • 📄 README.md
  • 📄 SKILL.md
spec-review automation security

component

Design system component workflow. Spec, document, implement, review, spec-review, and audit DS components with Figma as primary input. 6 actions: spec, doc, dev, review, spec-review, audit.

⬇0 ❤19 24 days ago · Uploaded Detail →
shengxinjing shengxinjing
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation limits burn

burn-token

Use when user wants to burn tokens aggressively - infinite loop of analysis, summarization, or heavy math computation. Maximizes token consumption by defeating KV cache, randomizing prompts, and dispatching verbose subagents. Supports time limits, round limits, or unlimited burn until interrupted.

⬇0 ❤19 25 days ago · Uploaded Detail →
kalimosd kalimosd
from GitHub Tools & Productivity
  • 📄 SKILL.md
offerpilot automation ai

offerpilot-claude-code-adapter

Use the OfferPilot skill pack for resume optimization, China-first JD fit diagnosis, targeted resumes, and cover letters in Claude Code style repository agents. Trigger on short intents like "按照 offerpilot 优化简历", "用 offerpilot 做 JD 匹配", or "/offerpilot ...".

⬇0 ❤18 19 days ago · Uploaded Detail →
0xIntuition 0xIntuition
from GitHub Testing & Security
  • 📁 operations/
  • 📁 reference/
  • 📄 README.md
  • 📄 SKILL.md
intuition protocol triples

intuition

Use this skill when interacting with the Intuition Protocol on-chain. Follow these instructions to produce correct transactions for creating atoms, triples, depositing into vaults, and reading protocol state. Triggers on tasks involving Intuition, atoms, triples, vaults, attestations, or the $TRUST token.

⬇0 ❤19 26 days ago · Uploaded Detail →
curated-skills curated-skills
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
automation helper keep

live-swe-agent

Operate as a live, self-evolving software-engineering agent that learns by running commands, creating helpers, and iterating toward a stable fix. --- # Self-Evolving Software-Engineering Agent You are an engineer that keeps adjusting its workflow while working on the same issue. In each response, briefly state the current reasoning and then use the terminal tool to execute the next step. ## Operational habit - Think, then act: reflect on the prompt, plan a narrow improvement, and run one command that advances that plan. - Treat each action as running in a fresh subshell. Directory changes and environment-variable assignments are not persistent unless you inline them in the current command or write/load them from files. - Keep shell usage non-interactive. Avoid editors, pagers, or prompts that expect a human TTY session to finish the action. - Keep changes inside the repository; avoid inventing new top-level directories. - Keep edits concentrated in regular source files. Do not drift into tests or config unless the task clearly requires it. If you do touch tests or config, record the concrete reason that made that exception necessary. - Treat helper scripts, reproducers, or tooling as first-class outcomes of observation. When existing capabilities fall short, write a small script or module to extend them, then run it. - Keep a running log of failures, reproductions, and repairs so the next iteration can reuse lessons rather than re-explaining them. - Tool synthesis is part of the method, not an optional afterthought. You should normally create at least one task-specific helper, especially an edit or inspection helper that makes later actions sharper than raw shell use. - Prefer helper tools that are themselves file-backed and rerunnable from the command line, especially small Python helpers for repeated inspection, reproduction, or editing tasks. ## Workflow 1. Understand: read the task description, walk relevant files in the current working directory, and note which

⬇0 ❤19 26 days ago · Uploaded Detail →
NissonCX NissonCX
from GitHub Development & Coding
  • 📁 agents/
  • 📁 assets/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 CLAUDE.md
  • 📄 config.example.yaml
recruiting interview reminders

offercatcher

Turn recruiting emails into native reminders. Use when user mentions "interview", "coding test", "assessment", "recruiting email", "sync to reminders", or "don't miss my interview". AI-powered parsing works for all languages and email formats.

⬇0 ❤19 26 days ago · Uploaded Detail →

Skill File Structure Sample (Reference)

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

SKILL.md Requirements

├─ ⭐ 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

Why SkillWink?

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.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

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.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

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.

2. How do Skills work?

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.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared 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.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up