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Import Skills

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sjtu-sai-agents sjtu-sai-agents
from GitHub Tools & Productivity
  • 📄 SKILL.md
local files when

bohrium-oss

Guide for uploading local files to Bohrium OSS when MCP tools require file URLs. Use this when you need to transmit local files through MCP tools that cannot accept local paths directly.

⬇0 ❤85 24 days ago · Uploaded Detail →
ogham-mcp ogham-mcp
from GitHub Data & AI
  • 📄 SKILL.md
memories memory export

ogham-maintain

Admin and maintenance workflows for Ogham shared memory. Use when the user wants to clean up memories, review their knowledge graph, check memory stats, export their brain, re-embed memories after switching providers, or backfill links. Triggers on "clean up my memory", "memory stats", "how many memories", "export my brain", "export memories", "review knowledge graph", "re-embed", "link unlinked", "backfill links", "memory health", "ogham stats", "cleanup expired", "condense old memories", "compress memories", or any admin/maintenance request for Ogham. Requires the Ogham MCP server to be connected. --- # Ogham maintenance You handle admin tasks for Ogham shared memory. Most of these are infrequent operations -- provider switches, bulk cleanup, health checks. ## Available operations ### Health check Run `health_check` first if the user reports problems. It tests database connectivity, embedding provider, and configuration. Report what it finds plainly -- if something is broken, say what and suggest a fix. ### Stats overview Run `get_stats` and `list_profiles` to give the user a picture of their memory: - Total memories and breakdown by profile - Top sources (which clients are storing) - Top tags (what categories dominate) - Cache stats via `get_cache_stats` if they ask about performance Present it as a concise summary, not raw JSON. ### Cleanup expired memories 1. Run `get_stats` to show how many memories exist 2. Check if any profiles have TTLs set (this info comes from `list_profiles`) 3. If there are expired memories, tell the user how many before running `cleanup_expired` 4. Run `cleanup_expired` only after confirming with the user -- deletion is permanent ### Export Run `export_profile` with the format the user wants (JSON or Markdown). Tell them where the output goes and how to use it. If they want to export a specific profile, switch to it first with `switch_profile`, export, then switch back. ### Re-embed all memories This is needed after switching embedding

⬇0 ❤86 26 days ago · Uploaded Detail →
smartcontractkit smartcontractkit
from GitHub Ops & Delivery
  • 📁 agents/
  • 📁 references/
  • 📄 SKILL.md
cross-chain chainlink token

chainlink-ccip-skill

Handle Chainlink CCIP requests including cross-chain token transfers, cross-chain messaging, fund bridging, sender and receiver contract development, message status lookup, route connectivity checks, supported token discovery, and CCT setup. Use this skill whenever the user mentions CCIP, Chainlink cross-chain, cross-chain token bridges on Chainlink, or wants to move tokens or data between blockchains using Chainlink infrastructure, even if they do not say 'CCIP' explicitly.

⬇0 ❤86 26 days ago · Uploaded Detail →
thefrederiksen thefrederiksen
from GitHub Tools & Productivity
  • 📄 skill.md
fix issue user

bug-fixer

Fix GitHub issues by analyzing the issue, creating a fix plan, and implementing with user approval. Use when user provides an issue number and asks to fix it, or mentions "fix bug", "bug #", or "issue #".

⬇0 ❤86 26 days ago · Uploaded Detail →
SeoNaRu SeoNaRu
from GitHub Development & Coding
  • 📄 SKILL.md
mcp api json-rpc

lexguard-mcp-dev

LexGuard MCP (한국 법률 MCP 서버) 개발 가이드. 새로운 MCP 툴 추가, Repository/Service 작성, MCP JSON-RPC 엔드포인트 수정, 법령 API 연동, 테스트 작성 시 사용. 아키텍처 패턴, 국가법령정보센터 API 규칙, 응답 형식을 자동으로 준수.

⬇0 ❤82 19 days ago · Uploaded Detail →
devinxu0916 devinxu0916
from GitHub Tools & Productivity
  • 📄 SKILL.md
implementation after debugging

devlog-tracker

Record implementation pitfalls, debugging insights, and lessons learned into structured devlog documents. Triggers on completing any implementation task that encountered issues, after debugging sessions, after E2E testing, or when user says "record this", "document this pitfall", "add to devlog", "踩坑记录". MUST be invoked after any implementation phase that involved non-trivial bug fixes or workarounds.

⬇0 ❤82 20 days ago · Uploaded Detail →
qtzx06 qtzx06
from GitHub Data & AI
  • 📁 scripts/
  • 📄 SKILL.md
data brightness transforms

augment

Generate synthetic training data variations using image transforms. Increases dataset diversity with flips, brightness jitter, and noise. Use after labeling.

⬇0 ❤82 20 days ago · Uploaded Detail →
Soneso Soneso
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
horizon devops dart

stellar-flutter-sdk

Build Stellar blockchain applications in Flutter/Dart using stellar_flutter_sdk. Use when generating Dart code for transaction building, signing, Horizon API queries, Soroban RPC, smart contract deployment and invocation, XDR encoding/decoding, and SEP protocol integration. Covers 26+ operations, 50 Horizon endpoints, 12 RPC methods, and 18 SEP implementations with async/await and Stream patterns across Android, iOS, Web, and Desktop.

⬇0 ❤84 24 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