Daily Featured Skills Count
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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
bitsky-tech bitsky-tech
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
automation human-in-the-loop amphibious

bridgic-amphibious

Build agents with the Bridgic Amphibious dual-mode framework — combining LLM-driven (agent) and deterministic (workflow) execution with automatic fallback and human-in-the-loop support. Use when: (1) writing code that imports from bridgic.amphibious, (2) creating AmphibiousAutoma subclasses, (3) defining CognitiveWorker think units, (4) implementing on_agent/on_workflow methods, (5) working with CognitiveContext, Exposure system, or cognitive policies, (6) adding human-in-the-loop interactions (HumanCall, request_human, request_human_tool), (7) scaffolding a new amphibious project via CLI, (8) any task involving the bridgic-amphibious framework.

⬇0 ❤42 22 days ago · Uploaded Detail →
lhwcv lhwcv
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
kaggle automation path

kaggle-kernel-discussion-birdclef2026

Use this skill when you need to pull, refresh, inspect, or summarize BirdCLEF 2026 Kaggle discussions or public notebooks into the repository. It covers the current Kaggle discussion API path, the Kaggle CLI notebook workflow, the expected output layout under kaggle_info, and fallback guidance when the access path changes.

⬇0 ❤45 1 month ago · Uploaded Detail →
janbjorge janbjorge
from GitHub Databases & Storage
  • 📄 SKILL.md
memory database maintenance

rekal-hygiene

Periodic memory maintenance and cleanup. Finds duplicates, conflicts, stale conversations, and quality issues in the memory database. Proposes fixes for user approval — never auto-deletes or auto-modifies. Use when user says "clean up memories", "memory maintenance", "check memory health", or invokes /rekal-hygiene. Run monthly or when conflicts are piling up.

⬇0 ❤42 23 days ago · Uploaded Detail →
Agents365-ai Agents365-ai
from GitHub Research & Analysis
  • 📁 .github/
  • 📁 agents/
  • 📁 docs/
  • 📄 .gitignore
  • 📄 paper-fetch-en.png
  • 📄 README.md
open-access unpaywall download

paper-fetch

Use when the user wants to download a paper PDF from a DOI, title, or URL via legal open-access sources. Tries Unpaywall, arXiv, bioRxiv/medRxiv, PubMed Central, and Semantic Scholar in order. Never uses Sci-Hub or paywall bypass.

⬇0 ❤43 27 days ago · Uploaded Detail →
okwinds okwinds
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 references/
  • 📁 scripts/
  • 📄 README.md
  • 📄 README.zh-CN.md
  • 📄 SKILL.md
agently triggerflow automation

agently-task-dev

Use only when the user explicitly wants to build with the Agently framework (mentions Agently/agently/OpenAICompatible/TriggerFlow/ToolExtension/ChromaCollection, or says “用 Agently 做/用 agently 做”). Deliver runnable code plus regression tests validating schema/ensure_keys and streaming (delta/instant/streaming_parse), with optional tools (Search/Browse/MCP), TriggerFlow orchestration, KB (ChromaDB), and serviceization (SSE/WS/HTTP). Do not use for generic streaming/testing questions that are not about Agently, or for prompt-only writing without tests/structure.

⬇0 ❤45 1 month ago · Uploaded Detail →
laziobird laziobird
from GitHub Data & AI
  • 📁 examples/
  • 📁 proofs/
  • 📁 rpa/
  • 📄 .gitignore
  • 📄 config.example.json
  • 📄 envcheck.py
hallucinations openclaw-rpa github.com

openclaw-rpa

Record browser & local-file actions once; replay runs without the LLM—save $ vs AI browsing, faster, no hallucinations. github.com/laziobird/openclaw-rpa

⬇0 ❤45 1 month ago · Uploaded Detail →
docmancer docmancer
from GitHub Docs & Knowledge
  • 📄 __init__.py
  • 📄 claude_code_skill.md
  • 📄 claude_desktop_skill.md
docs documentation search

docmancer

Search and manage documentation knowledge bases using docmancer CLI. Use when the user asks about third-party library docs, API references, vendor documentation, version-specific API behavior, GitBook or Mintlify public docs, offline or local doc search, or wants to ingest a doc URL before answering a question.

⬇0 ❤45 1 month ago · Uploaded Detail →
velvetmonkey velvetmonkey
from GitHub Tools & Productivity
  • 📁 examples/
  • 📁 scripts/
  • 📄 SKILL.md
automation backend read

flywheel

Install and use the Flywheel MCP server to give an agent grounded memory over an Obsidian vault or any folder of plain Markdown notes — search, read, and safely write through bounded tool calls instead of raw Read/Grep/Edit.

⬇0 ❤37 13 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