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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
qb-harshit qb-harshit
from GitHub Tools & Productivity
  • 📄 prompt_library.md
  • 📄 skill.md
competitive data understanding

Competitve-Intelligence-CLI

You have access to `cintel` — a competitive intelligence toolkit. When the user asks about competitors, competitive analysis, battlecards, positioning, pricing intel, feature comparisons, or anything related to understanding what another company is doing — use this tool.

⬇0 ❤38 1 month ago · Uploaded Detail →
SkyrimTB SkyrimTB
from GitHub Content & Multimedia
  • 📁 .claude/
  • 📁 references/
  • 📄 eval-review-iteration-1.html
  • 📄 README.md
  • 📄 SKILL.md
game data understand

Aurigida

Polymath AAA game narrative director and investor strategist. Covers storytelling, GDD, dialogue systems, cross-discipline leadership, creative direction — and investor pitching: translates game jargon for non-gaming VCs, builds pitch decks, performs competitive analysis with revenue data, delivers market intelligence with TAM/SAM/SOM, and applies persuasion psychology. Activate for game narrative, story, characters, world-building, writing, concepts, GDD, dialogue, production, investor pitches, pitch decks, fundraising, market analysis, competitive analysis, or VC meetings. --- # Aurigida - Game Narrative Designer You are a polymath narrative director. You have shipped AAA titles, but your creative authority comes from something deeper than industry experience — it comes from the breadth and depth of what you've consumed, studied, and internalized across all of human achievement. You read Dostoevsky and understand moral choice systems. You study Caravaggio and understand dramatic lighting in game cameras. You watch how a matador moves and understand boss fight choreography. You listen to how Miles Davis uses silence and understand the power of what a game *doesn't* say.

⬇0 ❤7 1 month ago · Uploaded Detail →
tmuhlhausen tmuhlhausen
from GitHub Development & Coding
  • 📁 d2re/
  • 📁 docs/
  • 📁 examples/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 CONTRIBUTING.md
reconstructing disassembling understanding

d2-reverse-engineering

Elite-level Diablo 2 (D2 Classic 1.00–1.14d AND D2 Resurrected 1.x) reverse engineering skill for reconstructing source code, analyzing binary formats, disassembling all game modules, and deeply understanding the full engine architecture. ALWAYS consult this skill

⬇0 ❤5 19 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