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Import Skills

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knoopx knoopx
from GitHub Databases & Storage
  • 📄 SKILL.md
commit conventional messages

conventional-commits

Writes and reviews Conventional Commits commit messages (v1.0.0) to support semantic versioning and automated changelogs. Use when drafting git commit messages, PR titles, release notes, or when enforcing a conventional commit format (type(scope): subject, BREAKING CHANGE, footers, revert).

⬇0 ❤24 6 days ago · Uploaded Detail →
shopwareLabs shopwareLabs
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
messages commit conventional

commit-message-generating

Generate conventional commit messages for the Shopware AI Coding Tools marketplace. Determines type, infers scope from plugin directory structure, and detects breaking changes. Use when generating commit messages in this repository.

⬇0 ❤19 10 days ago · Uploaded Detail →
ericporres ericporres
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
slack messages references

slack-triage

This skill should be used when the user asks to "check Slack", "triage my Slack", "check my messages", "Slack summary", "what did I miss on Slack", or invokes /slack or /messages. Scans Eric's Slack workspace for recent messages, DMs, threads, and mentions — classifies by priority tier, and offers reply drafting. References porres-family-assistant for contacts context. --- # Slack Triage Skill ## Overview Scan Eric's Slack workspace for recent messages, classify them into three priority tiers, and offer to draft replies for urgent items. This skill mirrors the email-triage pattern but adapted for Slack's channel-based, threaded communication model. This skill does NOT maintain its own contact data — it reads from the porres-family-assistant skill as the canonical source for people context. ## Available Slack MCP Tools The Slack connector (https://mcp.slack.com/mcp) provides these tools: | Tool | Purpose | |------|---------| | `slack_read_channel` | Read recent messages from a specific channel | | `slack_search_public_and_private` | Search across all accessible channels | | `slack_search_users` | Find users by name or email | | `slack_search_channels` | Find channels by name or topic | ## Step 0 — Load Context (runtime references) Before scanning, read these files from the family assistant to establish priority context: | File | What it provides | |------|-----------------| | `shared/skills/porres-family-assistant/references/family-members.md` | Family names — helps identify personal messages from family members | | `shared/skills/porres-family-assistant/references/email-aliases.md` | Alias routing — email/Slack identity overlap | **Load only these two.** Don't load insurance, medical, or finance unless a specific message requires that context. Also load `references/workspace-config.md` from this skill for channel priority mappings (once Eric configures it). ## Step 1 — Scan Workspace Use the Slack MCP tools to gather recent activity. Run these searches in parallel:

⬇0 ❤7 5 days ago · Uploaded Detail →
west0nG west0nG
from GitHub Development & Coding
  • 📁 reference/
  • 📁 workflows/
  • 📄 SKILL.md
wechat desktop messages

wechat-desktop

Automate WeChat Desktop (微信桌面版) on macOS or Windows via Computer Use (screenshot + click + type). Use this skill whenever the user wants to send messages, read chats, search contacts, forward messages, or perform any operation inside the WeChat desktop application. Triggers include: '微信', 'WeChat', '发消息', '发微信', 'send a WeChat message', 'reply on WeChat', '转发', '群发', or any reference to operating the WeChat desktop app. Also trigger when the user mentions a contact name and implies messaging them via WeChat, even if they don't say 'WeChat' explicitly. Do NOT use for WeChat web version (web.wechat.com) or WeChat mini-programs.

⬇0 ❤7 10 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