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Import Skills

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blader blader
from GitHub Docs & Knowledge
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md
writing signs text

humanizer

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, passive voice, negative parallelisms, and filler phrases.

⬇1 ❤11.9K 1 hour ago · Downloaded Detail →
atilladeniz atilladeniz
from GitHub Docs & Knowledge
  • 📄 SKILL.md
writing signs text

humanizer

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

⬇0 ❤325 12 days ago · Uploaded Detail →
SamMorrowDrums SamMorrowDrums
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 docs/
  • 📁 remarkable_mcp/
  • 📄 .gitignore
  • 📄 LICENSE
  • 📄 pyproject.toml
remarkable tablet text

remarkable

Access reMarkable tablet documents, notebooks, PDFs, and EPUBs. Use when the user wants to read, search, browse, or extract text from their reMarkable tablet. Supports handwriting OCR, typed text, annotations, highlights, and page rendering to PNG/SVG.

⬇0 ❤83 12 days ago · Uploaded Detail →
ihugang ihugang
from GitHub Tools & Productivity
  • 📁 scripts/
  • 📄 SKILL.md
image text automation

ocr-workflow

Use when the user wants OCR on images, screenshots, scans, receipts, diagrams, or image files; extract text from a local image path, image URL, or base64 image; convert OCR output to plain text, markdown table, structured JSON, or code comments; or rename, summarize, or post-process files based on recognized text. Prefer this skill for image-to-text workflows backed by the local ocrtool-mcp binary.

⬇0 ❤36 12 days ago · Uploaded Detail →
ie3jp ie3jp
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
check text submission

illustrator-preflight

Run comprehensive pre-press preflight checks on Adobe Illustrator documents using illustrator-mcp tools. Detects print-critical issues (RGB in CMYK, broken links, low-res images, white overprint, text not outlined), text consistency problems (dummy text, notation variations), and PDF/X compliance. Use when user asks to check a document before printing, submission, or handoff — or mentions "preflight", "pre-press check", "print check", "submission check".

⬇0 ❤20 11 days ago · Uploaded Detail →
talkstream talkstream
from GitHub Business & Operations
  • 📁 .claude-plugin/
  • 📁 .codex-plugin/
  • 📁 .cursor-plugin/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 gemini-extension.json
text russian quality

ru-text

Use when writing, editing, or reviewing Russian-language text, or when user mentions ru-text. Covers typography, info-style, editorial, UX writing, business correspondence. Auto-activates on Russian text output. --- # ru-text — Russian Text Quality Independent Russian text quality reference by Arseniy Kamyshev. With gratitude to the authors whose work shaped modern Russian text standards.

⬇0 ❤13 12 days ago · Uploaded Detail →
appstrate appstrate
from GitHub Tools & Productivity
  • 📄 README.md
  • 📄 SKILL.md
  • 📄 skill.ts
words text statistics

word-count

Counts the number of words in a given text. Use this tool when the user asks you to count words, analyze text length, or needs word statistics.

⬇0 ❤10 7 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