Daily Featured Skills Count
4,870 4,909 4,940 4,970 5,005 5,034 5,044
05/03 05/04 05/05 05/06 05/07 05/08 05/09
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
Wangnov Wangnov
from GitHub Development & Coding
  • 📁 agents/
  • 📁 evals/
  • 📁 references/
  • 📄 SKILL.md
codex image ai

gpt-image-2-skill

This skill should be used when the user asks to "generate an image", "create a logo", "draw an icon", "edit this photo", "change background to transparent", "remove background", "use GPT image", "use Codex to draw", "用 GPT image 生成图片", "用 Codex 画图", "帮我生成一张图", "改成透明背景", "把这张图编辑一下", or any prompt-to-image or reference-image-edit task that benefits from a structured CLI returning JSON results and JSONL progress events. Supports OpenAI `gpt-image-2` (via `OPENAI_API_KEY` or OpenAI-compatible base URL) and Codex `image_generation` (via `~/.codex/auth.json`) under one command surface, with masks, custom sizes up to 4K, transparent backgrounds, and a raw request escape hatch.

⬇0 ❤27 just now · Uploaded Detail →
leo-lilinxiao leo-lilinxiao
from GitHub Development & Coding
  • 📁 agents/
  • 📁 docs/
  • 📁 image/
  • 📄 .gitignore
  • 📄 CONTRIBUTING.md
  • 📄 LICENSE
security automation codex

codex-autoresearch

Autonomous long-running iteration for Codex CLI. Use when the user wants Codex to plan or run an unattended improve-verify loop toward a measurable or verifiable outcome, especially for overnight runs; it also covers repeated debugging, fixing, security auditing, and ship-readiness workflows. Do not use for ordinary one-shot coding help or casual Q&A.

⬇0 ❤1K 1 month ago · Uploaded Detail →
TheGreenCedar TheGreenCedar
from GitHub Development & Coding
  • 📁 agents/
  • 📄 SKILL.md
codex end autoresearch.jsonl

codex-autoresearch

Run Codex Autoresearch end to end from one plugin skill. Use when Codex should start, resume, inspect, dashboard, deep-research, iterate, log, or finalize measured optimization loops using autoresearch.md, autoresearch.jsonl, quality_gap scratchpads, or the local CLI helpers.

⬇0 ❤415 7 days ago · Uploaded Detail →
DeL-TaiseiOzaki DeL-TaiseiOzaki
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation codex data

add-feature

Add a feature to an existing codebase with Codex-first multi-agent collaboration (Codex + Opus 4.6). Codex CLI is consulted in EVERY phase for scope analysis, architecture design, and implementation planning.

⬇0 ❤142 1 month ago · Uploaded Detail →
Kevin7Qi Kevin7Qi
from GitHub Development & Coding
  • 📁 .github/
  • 📁 src/
  • 📄 .gitattributes
  • 📄 .gitignore
  • 📄 bun.lock
codex when ai

codex-collab

Use when the user asks to invoke, delegate to, or collaborate with Codex on any task. Also use PROACTIVELY when an independent, non-Claude perspective from Codex would add value — second opinions on code, plans, architecture, or design decisions.

⬇0 ❤80 1 month ago · Uploaded Detail →
taylorai taylorai
from GitHub Tools & Productivity
  • 📄 SKILL.md
claude conversation codex

agent-history

CLI tool to explore and inspect past Claude Code and Codex conversation histories. Use this skill when: - You need to catch up on a previous conversation that ran out of context - You want to review what was discussed or accomplished in past sessions - You need to search across conversation history for specific topics - You want to generate a summary of past work to paste into a new session - The user asks about their Claude Code or Codex conversation history - The user wants to resume work from a previous session and needs context --- # Agent History CLI A unified tool to explore past Claude Code (`~/.claude/projects/`) and Codex (`~/.codex/sessions/`) conversations from a single interface. ## Installation ```bash pip install agent-history # Install the skill (default: ~/.claude/skills/) agent-history install-skill ``` ## Source Tagging

⬇0 ❤13 1 month ago · Uploaded Detail →
anthony-maio anthony-maio
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
codex automation memory

mnemos-codex

Use when Codex users or Codex agents need to install, configure, validate, troubleshoot, or operate Mnemos through MCP, or when they mention Codex memory, AGENTS.md memory policy, Codex Automations, or Mnemos in Codex.

⬇0 ❤13 1 month ago · Uploaded Detail →
JIA-ss JIA-ss
from GitHub Development & Coding
  • 📄 SKILL.md
codex cli automation

codex

调用 OpenAI Codex CLI 进行代码分析、重构或自动化编辑。当用户要求运行 Codex CLI（codex exec / codex resume / codex review）或提及使用 Codex 进行代码审查、重构、自动化编辑时使用。

⬇0 ❤9 1 month 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