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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
jdforsythe jdforsythe
from GitHub Data & AI
  • 📁 references/
  • 📄 schemas
  • 📄 SKILL.md
vocabulary agent persona

agent-creator

Creates structured agent definitions using the 7-component format grounded in persona science (PRISM), vocabulary routing, and failure mode taxonomy (MAST). Produces agents with real-world job titles, expert domain vocabulary payloads (15-30 terms), explicit deliverables, decision boundaries, imperative SOPs, and named anti-pattern watchlists. Use this skill when the user wants to create an agent, define a role, build a persona, or needs a specialized AI assistant for a specific domain. Also triggers when Mission Planner delegates agent creation for team roles. Works for any domain — software, marketing, security, operations, design, writing, research, and more. Do NOT use for creating skills (use Skill Creator) or team composition (use Mission Planner). --- # Agent Creator Creates structured agent definitions following the 7-component format. Every agent produced by this skill is grounded in persona science research, vocabulary routing mechanics, and the MAST failure taxonomy. --- ## Expert Vocabulary Payload **Agent Design:** role identity, domain vocabulary payload, deliverables, decision authority, standard operating procedure, anti-pattern watchlist, interaction model, handoff artifact, quality gate **Organizational Structure:** RACI matrix, task-relevant maturity (Andy Grove), blast radius, reporting lines, escalation path, out-of-scope boundary **Security & Risk:** STRIDE threat model, OWASP Top 10, attack surface, threat modeling (Shostack) **Persona Science:** persona alignment, persona-accuracy tradeoff, PRISM framework, role-task alignment rule, flattery degradation, token budget **Vocabulary Mechanics:** vocabulary routing, embedding space, knowledge cluster, distribution center, 15-year practitioner test, sub-domain clustering, attribution amplification --- ## Anti-Pattern Watchlist ### Flattery Persona - **Detection:** Superlatives and absolutes in role identity — "world-class," "best," "always," "never," "unparalleled," "leading expert." - **Why it fa

⬇0 ❤67 19 days ago · Uploaded Detail →
opensage-agent opensage-agent
from GitHub Data & AI
  • 📁 common_utils/
  • 📁 find-testcases-covering-function/
  • 📁 run-coverage/
  • 📄 SKILL.md
data coverage code

coverage

Code coverage analysis tools. These tools help analyze and visualize code coverage for test execution, upload coverage data to Neo4j, and display coverage statistics. Available tools: run-coverage, show-coverage.

⬇0 ❤63 17 days ago · Uploaded Detail →
RaheesAhmed RaheesAhmed
from GitHub Data & AI
  • 📄 SKILL.MD
frontend experiences three.js

3d-web-experience

Build immersive 3D web experiences with Three.js, React Three Fiber, Spline, and WebGL. Covers product configurators, 3D portfolios, scroll-driven 3D, model pipeline optimization, performance budgets, and interactive scenes. Use when building 3D websites, three.js scenes, or WebGL experiences.

⬇0 ❤64 20 days ago · Uploaded Detail →
bearlyai bearlyai
from GitHub Data & AI
  • 📄 SKILL.md
model harness update

add-model

Add or update a model in the harness model registry. Use when the user wants to add a new AI model, update model pricing, or change default models for a harness.

⬇0 ❤64 21 days ago · Uploaded Detail →
k1p1l0 k1p1l0
from GitHub Data & AI
  • 📄 SKILL.md
telegram approve channel

access

Manage Telegram channel access — approve pairings, edit allowlists, set DM/group policy. Use when the user asks to pair, approve someone, check who's allowed, or change policy for the Telegram channel.

⬇0 ❤63 22 days ago · Uploaded Detail →
machina-sports machina-sports
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
odds probabilities detection

betting

Betting analysis — odds conversion, de-vigging, edge detection, Kelly criterion, arbitrage detection, parlay analysis, and line movement. Pure computation, no API calls. Works with odds from any source: ESPN (American odds), Polymarket (decimal probabilities), Kalshi (integer probabilities).

⬇0 ❤62 20 days ago · Uploaded Detail →
doodledood doodledood
from GitHub Data & AI
  • 📄 SKILL.md
until ai prompt-engineering

auto-optimize-prompt

Iteratively auto-optimize a prompt until no issues remain. Uses prompt-reviewer in a loop, asks user for ambiguities, applies fixes via prompt-engineering skill. Runs until converged.

⬇0 ❤61 22 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