By tsilva
Create, modify, validate, and optimize README.md files following GitHub best practices.
🔧 Modular skills that supercharge Claude Code with specialized capabilities ⚡
Add this repository to your Claude Code plugins:
claude plugins:add tsilva/claudeskillz
Or install individual skills by navigating to Settings → Plugins → Add from URL and using:
https://github.com/tsilva/claudeskillz
v2.0.0 · Applies gorgeous terminal styling to bash scripts using gum with ANSI fallback
Style all user-facing shell script output with a bundled style.sh library that provides headers, spinners, tables, progress bars, and color-coded messages with graceful degradation.
/bash-output-styler [script-path]
v5.1.0 · Generates professional logos with transparent backgrounds
Creates distinctive project logos using AI image generation. Requires the mcp-openrouter MCP server.
/project-logo-author
v2.5.1 · Create and optimize README files
Create, modify, validate, and optimize README.md files following GitHub best practices with modern visual hierarchy.
/project-readme-author create|modify|validate|optimize
v1.0.0 · Analyzes a codebase and generates a pure requirements specification
Extract what a project does into a clean SPEC.md — no implementation details, just behaviors, features, and acceptance criteria. Use for rebuilding projects from scratch, porting to different stacks, or living documentation.
/project-spec-extractor [--tech-agnostic] [path]
v1.0.0 · Applies gorgeous terminal styling to Python scripts using Rich with plain-text fallback
Style all user-facing Python script output with a bundled style.py module that provides headers, spinners, tables, progress bars, and color-coded messages with graceful degradation.
/python-output-styler [script-path]
Use the plugin-dev plugin to create new skills following the official specification:
/plugin-dev:skill-development
plugins/
└── my-skill/
├── .claude-plugin/
│ └── plugin.json # Plugin metadata
└── skills/
└── my-skill/
├── SKILL.md # Skill instructions (required)
├── scripts/ # Executable code (optional)
├── references/ # Documentation (optional)
└── assets/ # Static resources (optional)
claudeskillz/
├── .claude-plugin/
│ └── marketplace.json # Lists all available plugins
├── plugins/
│ ├── bash-output-styler/
│ ├── project-logo-author/
│ ├── project-readme-author/
│ ├── project-spec-extractor/
│ └── python-output-styler/
├── shared/ # Cross-skill utilities
├── CLAUDE.md # Project instructions for Claude
├── README.md # This file
└── logo.png # Repository logo
MIT License - see LICENSE for details.
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub tsilva/claudeskillz --plugin project-readme-authorApplies gorgeous terminal styling to Python scripts using Rich with plain-text fallback.
Analyzes a codebase and generates a pure requirements specification (SPEC.md) with no implementation details.
Generates professional logos with native transparent backgrounds. Requires repologogen CLI.
Applies gorgeous terminal styling to bash scripts using gum with ANSI fallback.
Smart README generation from project analysis
General-purpose utility skills for documentation, writing, and project maintenance
Comprehensive documentation toolkit for README generation, API documentation, and changelog management. Includes docs architect agent for strategic documentation planning.
Documentation and authoring workflow router: audit docs vs code drift, sync docs after changes, optimize prompts and SKILL.md files, validate GLFM and Markdown formatting, summarize files/URLs/images with fidelity enforcement. Use when: docs are out of date, CLAUDE.md needs improving, SKILL.md needs optimizing, checking if documentation matches code, summarizing files or URLs.
Documentation review, cleanup, generation, voice extraction, and human-quality writing enforcement with AI slop detection and SICO-based voice profiling
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.