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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
dontbesilent2025 dontbesilent2025
from GitHub Tools & Productivity
  • 📄 SKILL.md
claude ai chatroom-austrian

chatroom-austrian

哈耶克 × 米塞斯 × Claude 三人对话。奥派经济学视角的多角色讨论。 触发方式：/chatroom-austrian、/奥派、「奥派聊天室」 Austrian economics chatroom. Hayek × Mises × Claude debate.

⬇0 ❤2.2K 5 days ago · Uploaded Detail →
DenisSergeevitch DenisSergeevitch
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 assets/
  • 📁 references/
  • 📄 .gitignore
  • 📄 AGENTS.md
  • 📄 CLAUDE.md
automation workflow claude

repo-task-proof-loop

Repo-local workflow skill for large coding tasks. Initializes .agent/tasks/TASK_ID artifacts, installs project-scoped Codex and Claude subagents, updates AGENTS.md plus the repo's Claude guide file with the workflow, and runs a spec-freeze → build → evidence → verify → fix loop with fresh-session verification.

⬇0 ❤567 10 days ago · Uploaded Detail →
ShunsukeHayashi ShunsukeHayashi
from GitHub Development & Coding
  • 📄 benchmark.md
  • 📄 SKILL.md
ai copilot claude

agent-skill-bus

タスクを自動分析して最適なコーディングエージェント（Copilot/Devin/Cursor/Claude Code/Manus）にルーティングする自動化スキル。実測データに基づく精度の高い振り分けロジック。

⬇0 ❤153 12 days ago · Uploaded Detail →
serejaris serejaris
from GitHub Development & Coding
  • 📄 README.md
  • 📄 README.ru.md
  • 📄 SKILL.md
claude weekly stats

cc-analytics

Use when user asks for Claude Code usage stats, weekly analytics, project activity summary, or wants to see what projects were worked on. Triggers on "аналитика", "статистика claude", "cc stats", "weekly report", "что делал

⬇0 ❤136 12 days ago · Uploaded Detail →
nathanyjleeprojects nathanyjleeprojects
from GitHub Development & Coding
  • 📄 SKILL.md
code claude ai

what-would-cc-do

Analyze code and LLM practices against Claude Code's production-grade engineering patterns. Use when the user asks to 'assess my code against Claude Code', 'how would Claude Code do this', 'what patterns does CC use for X', 'review my LLM approach', or invokes /what-would-cc-do:assess or /what-would-cc-do:claudecodefy.

⬇0 ❤42 9 days ago · Uploaded Detail →
Ar9av Ar9av
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
claude user conversations

claude-history-ingest

Ingest Claude Code conversation history into the Obsidian wiki. Use this skill when the user wants to mine their past Claude conversations for knowledge, import their ~/.claude folder, extract insights from previous coding sessions, or says things like "process my Claude history", "add my conversations to the wiki", "what have I discussed with Claude before". Also triggers when the user mentions their .claude folder, Claude projects, session data, or past conversation logs. --- # Claude History Ingest — Conversation Mining You are extracting knowledge from the user's past Claude Code conversations and distilling it into the Obsidian wiki. Conversations are rich but messy — your job is to find the signal and compile it. ## Before You Start 1. Read `.env` to get `OBSIDIAN_VAULT_PATH` and `CLAUDE_HISTORY_PATH` (defaults to `~/.claude`) 2. Read `.manifest.json` at the vault root to check what's already been ingested 3. Read `index.md` at the vault root to know what the wiki already contains ## Ingest Modes ### Append Mode (default) Check `.manifest.json` for each source file (conversation JSONL, memory file). Only process: - Files not in the manifest (new conversations, new memory files, new projects) - Files whose modification time is newer than their `ingested_at` in the manifest This is usually what you want — the user ran a few new sessions and wants to capture the delta. ### Full Mode Process everything regardless of manifest. Use after a `wiki-rebuild` or if the user explicitly asks. ## Claude Code Data Layout Claude Code stores everything under `~/.claude/`. Here is the actual structure: ``` ~/.claude/ ├── projects/ # Per-project directories │ ├── -Users-name-project-a/ # Path-derived name (slashes → dashes) │ │ ├── <session-uuid>.jsonl # Conversation data (JSONL) │ │ └── memory/ # Structured memories │ │ ├── MEMORY.md # Memory index │ │ ├── user_*.md # U

⬇0 ❤29 4 days ago · Uploaded Detail →
Uniswap Uniswap
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
setup claude configure

commit-push-pr

Interactive setup wizard for configuring any repository with Claude Code best practices. Use when user says "setup claude", "init claude", "configure claude code", "setup repository", "boris setup", "best practices setup", or wants to configure their repo for optimal AI-assisted development.

⬇0 ❤31 10 days ago · Uploaded Detail →
Xiaoher-C Xiaoher-C
from GitHub Tools & Productivity
  • 📄 adapter.test.ts
  • 📄 adapter.ts
  • 📄 HEARTBEAT.rules.md
automation claude code

agentbnb-claude-code

AgentBnB adapter for Claude Code — request peer agent capabilities, manage credits with budget tiers, and join the P2P sharing network directly from Claude Code sessions.

⬇0 ❤30 12 days ago · Uploaded Detail →
jkf87 jkf87
from GitHub Development & Coding
  • 📁 agents/
  • 📁 examples/
  • 📁 orchestration/
  • 📄 CATALOG.md
  • 📄 README.md
  • 📄 SKILL.md
ai claude glm

harness

OpenClaw 하네스 — Plan→Work→Review 에이전트 오케스트레이션 + 모델 라우팅 + 채널 브릿지. Claude Code 하네스 생태계 분석 기반. GLM/GPT/Claude 모델 지원. GLM-5.1 포함. 한국어 감지→GLM 자동 라우팅. sessions_spawn으로 에이전트별 모델 별도 지정. 브릿지로 실시간 채널 알림.

⬇0 ❤20 12 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