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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
satyaborg satyaborg
from GitHub Tools & Productivity
  • 📁 scripts/
  • 📄 SKILL.md
agent evals eval

audit-evals

Set up evals for an agent codebase or check eval status after changes. Determines readiness, identifies what can be tested, and prepares the environment. Use when starting evals for the first time, returning after a code change, or figuring out what to do next. Also triggered by "set up evals", "is my agent ready?", "eval status", "what should I do next?", "init eval", "evaluate my agent", "test my agent", "help me eval this", "get started with evals", "where do I start", "how do I test this agent", "check my setup". This is the default entry point, use it whenever a user wants to evaluate an agent and you're unsure which skill to start with.

⬇0 ❤6 23 days ago · Uploaded Detail →
3yesore 3yesore
from GitHub Testing & Security
  • 📁 profiles/
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
modules module ai-maintainable

harness

Apply Harness Engineering to make modules AI-maintainable. Use when creating new modules, retrofitting existing modules, validating module compliance, or keeping a module handoff-ready across sessions.

⬇0 ❤6 1 month ago · Uploaded Detail →
brunokktro brunokktro
from GitHub Docs & Knowledge
  • 📁 references/
  • 📄 SKILL.md
bookmark bookmarks json

bookmark-curator

Processes Firefox bookmark exports (JSON) to organize links by category, generate summaries, and produce a visual HTML feed. Activate when the user mentions "bookmarks", "bookmark curator", "organizar bookmarks", "exportei os bookmarks", or "bookmark feed". --- # Bookmark Curator Process Firefox bookmark JSON exports into organized, categorized outputs: a structured markdown file for the training-mentor Skill and a visual HTML feed for browsing. ## Input Firefox bookmark JSON export. Default location: `~/Downloads/bookmarks-YYYY-MM-DD.json` (or ask the user for the filename). If the file is not found, ask the user to export: > Firefox > Bookmarks > Manage Bookmarks > Import and Backup > Backup > Save as JSON ## Processing Pipeline ### Step 0: Check Progress Read `references/progress.md` (in this Skill's folder). This file tracks which URLs have already been processed. If it doesn't exist, create it. Compare all bookmark URLs from the JSON against the processed list. Only process new URLs not yet in the list.

⬇0 ❤6 1 month ago · Uploaded Detail →
ngvoicu ngvoicu
from GitHub Development & Coding
  • 📁 .claude-plugin/
  • 📁 .cursor-plugin/
  • 📁 agents/
  • 📄 .gitignore
  • 📄 AGENTS.md
  • 📄 CLAUDE.md
spec specs coding

specmint-core

Persistent spec management for AI coding workflows. Use this skill when the user explicitly mentions specs, forging, or structured planning: says "forge", "forge a spec", "write a spec for X", "create a spec", "plan X as a spec", "resume", "what was I working on", "spec list/status/pause/switch/activate", "implement the spec", "implement phase N", "implement all phases", "generate openapi", or exits plan mode (offer to save as a spec). Also trigger when a `.specs/` directory exists at session start. Do NOT trigger on general feature requests, coding tasks, or questions that don't mention specs or forging — those are normal coding tasks, not spec management. --- # Spec Mint Core Turn ephemeral plans into structured, persistent specs built through deep research and iterative interviews. Specs have phases, tasks, acceptance criteria, a registry, resume context, a decision log, and a deviations log. They live in `.specs/` at the project root and work with any AI coding tool that can read markdown. Whether `.specs/` is committed is repository policy. Respect `.gitignore` and the user's preference for tracked vs local-only spec state. ## Critical Invariants 1. **Single-file policy**: Keep this workflow in one `SKILL.md` file. 2. **Canonical paths**: - Registry: `.specs/registry.md` - Per-spec files: `.specs/<id>/SPEC.md`, `.specs/<id>/research-*.md`, `.specs/<id>/interview-*.md` 3. **Authority rule**: `SPEC.md` frontmatter is authoritative. Registry is a denormalized index for quick lookup. 4. **Active-spec rule**: Target exactly one active spec at a time. 5. **Parser policy**: Use best-effort parsing with clear warnings and repair guidance instead of hard failure on malformed rows. 6. **Progress tracking is sacred**: After completing any task, immediately update SPEC.md (checkbox, `← current` marker, phase marker) AND registry.md (progress count, date). Then re-read both files to verify the edits landed correctly. Never move to the next task without updating both files.

⬇0 ❤6 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