### Added - **New Skill**: iOS-APP-developer v1.1.0 - iOS development with XcodeGen, SwiftUI, and SPM - XcodeGen project.yml configuration - SPM dependency resolution - Device deployment and code signing - Camera/AVFoundation debugging - iOS version compatibility handling - Library not loaded @rpath framework error fixes - State machine testing patterns for @MainActor classes - Bundled references: xcodegen-full.md, camera-avfoundation.md, swiftui-compatibility.md, testing-mainactor.md - **New Skill**: promptfoo-evaluation v1.0.0 - LLM evaluation framework using Promptfoo - Promptfoo configuration (promptfooconfig.yaml) - Python custom assertions - llm-rubric for LLM-as-judge evaluations - Few-shot example management - Model comparison and prompt testing - Bundled reference: promptfoo_api.md ### Changed - Updated marketplace version from 1.16.0 to 1.18.0 - Updated marketplace skills count from 23 to 25 - Updated skill-creator to v1.2.2: - Fixed best practices documentation URL (platform.claude.com) - Enhanced quick_validate.py to exclude file:// prefixed paths from validation - Updated marketplace.json metadata description to include new skills 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Claude Code Skills Marketplace
Professional Claude Code skills marketplace featuring 23 production-ready skills for enhanced development workflows.
📑 Table of Contents
- 🌟 Essential Skill: skill-creator
- 🚀 Quick Installation
- 🇨🇳 Chinese User Guide
- 📦 Other Available Skills
- 🎬 Interactive Demo Gallery
- 🎯 Use Cases
- 📚 Documentation
- 🛠️ Requirements
- ❓ FAQ
- 🤝 Contributing
- 📄 License
🌟 Essential Skill: skill-creator
⭐ Start here if you want to create your own skills!
The skill-creator is the meta-skill that enables you to build, validate, and package your own Claude Code skills. It's the most important tool in this marketplace because it empowers you to extend Claude Code with your own specialized workflows.
Why skill-creator First?
- 🎯 Foundation: Learn how skills work by creating your own
- 🛠️ Complete Toolkit: Initialization, validation, and packaging scripts included
- 📖 Best Practices: Learn from production-ready examples
- 🚀 Quick Start: Generate skill templates in seconds
- ✅ Quality Assurance: Built-in validation ensures your skills meet standards
Quick Install
claude plugin marketplace add daymade/claude-code-skills
claude plugin install skill-creator@daymade/claude-code-skills
What You Can Do
After installing skill-creator, simply ask Claude Code:
"Create a new skill called my-awesome-skill in ~/my-skills"
"Validate my skill at ~/my-skills/my-awesome-skill"
"Package my skill at ~/my-skills/my-awesome-skill for distribution"
Claude Code, with skill-creator loaded, will guide you through the entire skill creation process - from understanding your requirements to packaging the final skill.
📚 Full documentation: skill-creator/SKILL.md
Live Demos
📝 Initialize New Skill
✅ Validate Skill Structure
📦 Package Skill for Distribution
🚀 Quick Installation
Automated Installation (Recommended)
macOS/Linux:
curl -fsSL https://raw.githubusercontent.com/daymade/claude-code-skills/main/scripts/install.sh | bash
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/daymade/claude-code-skills/main/scripts/install.ps1 | iex
Manual Installation
Add the marketplace:
/plugin marketplace add daymade/claude-code-skills
Essential Skill (recommended first install):
claude plugin install skill-creator@daymade/claude-code-skills
Install Other Skills:
# GitHub operations
claude plugin install github-ops@daymade/claude-code-skills
# Document conversion
claude plugin install markdown-tools@daymade/claude-code-skills
# Diagram generation
claude plugin install mermaid-tools@daymade/claude-code-skills
# Statusline customization
claude plugin install statusline-generator@daymade/claude-code-skills
# Teams communication
claude plugin install teams-channel-post-writer@daymade/claude-code-skills
# Repomix extraction
claude plugin install repomix-unmixer@daymade/claude-code-skills
# AI/LLM icons
claude plugin install llm-icon-finder@daymade/claude-code-skills
# CLI demo generation
claude plugin install cli-demo-generator@daymade/claude-code-skills
# YouTube video/audio downloading
claude plugin install youtube-downloader@daymade/claude-code-skills
# Video comparison and quality analysis
claude plugin install video-comparer@daymade/claude-code-skills
# QA testing infrastructure with autonomous execution
claude plugin install qa-expert@daymade/claude-code-skills
# Prompt optimization using EARS methodology
claude plugin install prompt-optimizer@daymade/claude-code-skills
# Session history recovery
claude plugin install claude-code-history-files-finder@daymade/claude-code-skills
# Documentation consolidation
claude plugin install docs-cleaner@daymade/claude-code-skills
# CCPM skill registry search and management
claude plugin install skills-search@daymade/claude-code-skills
Each skill can be installed independently - choose only what you need!
🇨🇳 Chinese User Guide
For Chinese users: We highly recommend using CC-Switch to manage Claude Code API provider configurations.
CC-Switch enables you to:
- ✅ Quickly switch between different API providers (DeepSeek, Qwen, GLM, etc.)
- ✅ Test endpoint response times to find the fastest provider
- ✅ Manage MCP server configurations
- ✅ Auto-backup and import/export settings
- ✅ Cross-platform support (Windows, macOS, Linux)
Setup: Download from Releases, install, add your API configs, and switch via UI or system tray.
Complete Chinese Documentation
For full documentation in Chinese, see README.zh-CN.md.
📦 Other Available Skills
1. github-ops - GitHub Operations Suite
Comprehensive GitHub operations using gh CLI and GitHub API.
When to use:
- Creating, viewing, or managing pull requests
- Managing issues and repository settings
- Querying GitHub API endpoints
- Working with GitHub Actions workflows
- Automating GitHub operations
Key features:
- PR creation with JIRA integration
- Issue management workflows
- GitHub API (REST & GraphQL) operations
- Workflow automation
- Enterprise GitHub support
🎬 Live Demo
2. markdown-tools - Document Conversion Suite
Converts documents to markdown with Windows/WSL path handling and Obsidian integration.
When to use:
- Converting .doc/.docx/PDF/PPTX to markdown
- Processing Confluence exports
- Handling Windows/WSL path conversions
- Working with markitdown utility
Key features:
- Multi-format document conversion
- Confluence export processing
- Windows/WSL path automation
- Obsidian vault integration
- Helper scripts for path conversion
🎬 Live Demo
3. mermaid-tools - Diagram Generation
Extracts Mermaid diagrams from markdown and generates high-quality PNG images.
When to use:
- Converting Mermaid diagrams to PNG
- Extracting diagrams from markdown files
- Processing documentation with embedded diagrams
- Creating presentation-ready visuals
Key features:
- Automatic diagram extraction
- High-resolution PNG generation
- Smart sizing based on diagram type
- Customizable dimensions and scaling
- WSL2 Chrome/Puppeteer support
🎬 Live Demo
4. statusline-generator - Statusline Customization
Configures Claude Code statuslines with multi-line layouts and cost tracking.
When to use:
- Customizing Claude Code statusline
- Adding cost tracking (session/daily)
- Displaying git status
- Multi-line layouts for narrow screens
- Color customization
Key features:
- Multi-line statusline layouts
- ccusage cost integration
- Git branch status indicators
- Customizable colors
- Portrait screen optimization
🎬 Live Demo
5. teams-channel-post-writer - Teams Communication
Creates educational Teams channel posts for internal knowledge sharing.
When to use:
- Writing Teams posts about features
- Sharing Claude Code best practices
- Documenting lessons learned
- Creating internal announcements
- Teaching effective prompting patterns
Key features:
- Post templates with proven structure
- Writing guidelines for quality content
- "Normal vs Better" example patterns
- Emphasis on underlying principles
- Ready-to-use markdown templates
🎬 Live Demo
6. repomix-unmixer - Repository Extraction
Extracts files from repomix-packed repositories and restores directory structures.
When to use:
- Unmixing repomix output files
- Extracting packed repositories
- Restoring file structures
- Reviewing repomix content
- Converting repomix to usable files
Key features:
- Multi-format support (XML, Markdown, JSON)
- Auto-format detection
- Directory structure preservation
- UTF-8 encoding support
- Comprehensive validation workflows
🎬 Live Demo
7. llm-icon-finder - AI/LLM Brand Icon Finder
Access 100+ AI model and LLM provider brand icons from lobe-icons library.
When to use:
- Finding brand icons for AI models/providers
- Downloading logos for Claude, GPT, Gemini, etc.
- Getting icons in multiple formats (SVG/PNG/WEBP)
- Building AI tool documentation
- Creating presentations about LLMs
Key features:
- 100+ AI/LLM model icons
- Multiple format support (SVG, PNG, WEBP)
- URL generation for direct access
- Local download capabilities
- Searchable icon catalog
🎬 Live Demo
8. cli-demo-generator - CLI Demo Generation
Generate professional animated CLI demos and terminal recordings with VHS automation.
When to use:
- Creating demos for documentation
- Recording terminal workflows as GIFs
- Generating animated tutorials
- Batch-generating multiple demos
- Showcasing CLI tools
Key features:
- Automated demo generation from command lists
- Batch processing with YAML/JSON configs
- Interactive recording with asciinema
- Smart timing based on command complexity
- Multiple output formats (GIF, MP4, WebM)
- VHS tape file templates
🎬 Live Demo
9. cloudflare-troubleshooting - Cloudflare Diagnostics
Investigate and resolve Cloudflare configuration issues using API-driven evidence gathering.
When to use:
- Site shows ERR_TOO_MANY_REDIRECTS
- SSL/TLS configuration errors
- DNS resolution problems
- Cloudflare-related issues
Key features:
- Evidence-based investigation methodology
- Comprehensive Cloudflare API reference
- SSL/TLS mode troubleshooting (Flexible, Full, Strict)
- DNS, cache, and firewall diagnostics
- Agentic approach with optional helper scripts
🎬 Live Demo
10. ui-designer - UI Design System Extractor
Extract design systems from reference UI images and generate implementation-ready design prompts.
When to use:
- Have UI screenshots/mockups to analyze
- Need to extract color palettes, typography, spacing
- Building MVP UI matching reference aesthetics
- Creating consistent design systems
- Generating multiple UI variations
Key features:
- Systematic design system extraction from images
- Color palette, typography, component analysis
- Interactive MVP PRD generation
- Template-driven workflow (design system → PRD → implementation prompt)
- Multi-variation UI generation (3 mobile, 2 web)
- React + Tailwind CSS + Lucide icons
🎬 Live Demo
11. ppt-creator - Professional Presentation Creation
Create persuasive, audience-ready slide decks from topics or documents with data-driven charts and dual-format PPTX output.
When to use:
- Creating presentations, pitch decks, or keynotes
- Need structured content with professional storytelling
- Require data visualization and charts
- Want complete PPTX files with speaker notes
- Building business reviews or product pitches
Key features:
- Pyramid Principle structure (conclusion → reasons → evidence)
- Assertion-evidence slide framework
- Automatic data synthesis and chart generation (matplotlib)
- Dual-path PPTX creation (Marp CLI + document-skills:pptx)
- Complete orchestration: content → data → charts → PPTX with charts
- 45-60 second speaker notes per slide
- Quality scoring with auto-refinement (target: 75/100)
🎬 Live Demo
12. youtube-downloader - YouTube Video & Audio Downloader
Download YouTube videos and audio using yt-dlp with robust error handling and automatic workarounds for common issues.
When to use:
- Downloading YouTube videos or playlists
- Extracting audio from YouTube videos as MP3
- Experiencing yt-dlp download failures or nsig extraction errors
- Need help with format selection or quality options
- Working with YouTube content in regions with access restrictions
Key features:
- Android client workaround for nsig extraction issues (automatic)
- Audio-only download with MP3 conversion
- Format listing and custom format selection
- Output directory customization
- Network error handling for proxy/restricted environments
- Availability check for yt-dlp dependency
🎬 Live Demo
13. repomix-safe-mixer - Secure Repomix Packaging
Safely package codebases with repomix by automatically detecting and removing hardcoded credentials before packing.
When to use:
- Packaging code with repomix for distribution or sharing
- Creating reference packages from proprietary codebases
- Security concerns about accidentally exposing credentials
- Pre-commit security checks for hardcoded secrets
- Auditing codebases for credential exposure
Key features:
- Detects 20+ credential patterns (AWS, Supabase, Stripe, OpenAI, etc.)
- Scan → Report → Pack workflow with automatic blocking
- Standalone security scanner for pre-commit hooks
- Environment variable replacement guidance
- JSON output for CI/CD integration
- Exclude patterns for false positive handling
🎬 Live Demo
Coming soon
14. transcript-fixer - ASR Transcription Correction
Correct speech-to-text (ASR/STT) transcription errors through dictionary-based rules and AI-powered corrections with automatic pattern learning.
When to use:
- Correcting meeting notes, lecture recordings, or interview transcripts
- Fixing Chinese/English homophone errors and technical terminology
- Building domain-specific correction dictionaries
- Improving transcript accuracy through iterative learning
- Collaborating with teams on shared correction knowledge bases
Key features:
- Two-stage correction pipeline (dictionary + AI)
- Automatic pattern detection and learning
- Domain-specific dictionaries (general, embodied_ai, finance, medical)
- SQLite-based correction repository
- Team collaboration with import/export
- GLM API integration for AI corrections
- Cost optimization through dictionary promotion
Example workflow:
# Initialize and add corrections
uv run scripts/fix_transcription.py --init
uv run scripts/fix_transcription.py --add "错误词" "正确词" --domain general
# Run full correction pipeline
uv run scripts/fix_transcription.py --input meeting.md --stage 3
# Review and approve learned patterns
uv run scripts/fix_transcription.py --review-learned
🎬 Live Demo
Coming soon
📚 Documentation: See transcript-fixer/references/ for workflow guides, SQL queries, troubleshooting, best practices, team collaboration, and API setup.
Requirements: Python 3.6+, uv package manager, GLM API key (get from https://open.bigmodel.cn/)
15. video-comparer - Video Comparison and Quality Analysis
Compare two videos and generate interactive HTML reports with quality metrics and frame-by-frame visual comparisons.
When to use:
- Comparing original and compressed videos
- Analyzing video compression quality and efficiency
- Evaluating codec performance or bitrate reduction impact
- Assessing before/after compression results
- Quality analysis for video encoding workflows
Key features:
- Quality metrics calculation (PSNR, SSIM)
- Frame-by-frame visual comparison with three viewing modes:
- Slider mode: Drag to reveal differences
- Side-by-side mode: Simultaneous display
- Grid mode: Compact 2-column layout
- Video metadata extraction (codec, resolution, bitrate, duration, file size)
- Self-contained HTML reports (no server required, works offline)
- Security features (path validation, resource limits, timeout controls)
- Multi-platform FFmpeg support (macOS, Linux, Windows)
Example usage:
# Basic comparison
python3 scripts/compare.py original.mp4 compressed.mp4
# Custom output and frame interval
python3 scripts/compare.py original.mp4 compressed.mp4 -o report.html --interval 10
# Batch processing
for original in originals/*.mp4; do
compressed="compressed/$(basename "$original")"
output="reports/$(basename "$original" .mp4).html"
python3 scripts/compare.py "$original" "$compressed" -o "$output"
done
🎬 Live Demo
Coming soon
📚 Documentation: See video-comparer/references/ for quality metrics interpretation, FFmpeg commands, and configuration options.
Requirements: Python 3.8+, FFmpeg/FFprobe (install via brew install ffmpeg, apt install ffmpeg, or winget install ffmpeg)
16. qa-expert - Comprehensive QA Testing Infrastructure
Establish world-class QA testing processes with autonomous LLM execution, Google Testing Standards, and OWASP security best practices.
When to use:
- Setting up QA infrastructure for new or existing projects
- Writing standardized test cases following Google Testing Standards (AAA pattern)
- Implementing security testing (OWASP Top 10 coverage)
- Executing comprehensive test plans with automatic progress tracking
- Filing bugs with proper P0-P4 severity classification
- Calculating quality metrics and enforcing quality gates
- Enabling autonomous LLM-driven test execution (100x speedup)
- Preparing QA documentation for third-party team handoffs
Key features:
- One-command initialization: Complete QA infrastructure with templates, CSVs, and documentation
- Autonomous execution: Master prompt enables LLM to auto-execute all tests, auto-track results, auto-file bugs
- Google Testing Standards: AAA pattern compliance, 90% coverage targets, fail-fast validation
- OWASP security testing: 90% Top 10 coverage with specific attack vectors
- Quality gates enforcement: 100% execution, ≥80% pass rate, 0 P0 bugs, ≥80% code coverage
- Ground Truth Principle: Prevents doc/CSV sync issues (test docs = authoritative source)
- Bug tracking: P0-P4 classification with detailed repro steps and environment info
- Day 1 onboarding: 5-hour guide for new QA engineers
- 30+ LLM prompts: Ready-to-use prompts for specific QA tasks
- Metrics dashboard: Test execution progress, pass rate, bug analysis, quality gates status
Example usage:
# Initialize QA project (creates full infrastructure)
python3 scripts/init_qa_project.py my-app ./
# Calculate quality metrics and gates status
python3 scripts/calculate_metrics.py tests/TEST-EXECUTION-TRACKING.csv
# For autonomous execution, copy master prompt from:
# references/master_qa_prompt.md → paste to LLM → auto-executes 342 tests over 5 weeks
🎬 Live Demo
Coming soon
📚 Documentation: See qa-expert/references/ for:
master_qa_prompt.md- Single command for autonomous execution (100x speedup)google_testing_standards.md- AAA pattern, coverage thresholds, OWASP testingday1_onboarding.md- 5-hour onboarding timeline for new QA engineersground_truth_principle.md- Preventing doc/CSV sync issuesllm_prompts_library.md- 30+ ready-to-use QA prompts
Requirements: Python 3.8+
💡 Innovation: The autonomous execution capability (via master prompt) enables LLM to execute entire test suites 100x faster than manual execution, with zero human error in tracking. Perfect for third-party QA handoffs - just provide the master prompt and they can start testing immediately.
17. prompt-optimizer - Prompt Engineering with EARS Methodology
Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) - a methodology created by Rolls-Royce for converting natural language into testable requirements.
Methodology inspired by: 阿星AI工作室 (A-Xing AI Studio), which pioneered combining EARS with domain theory grounding for practical prompt enhancement.
When to use:
- Converting loose requirements into structured specifications
- Optimizing prompts for AI code generation or content creation
- Breaking down vague feature requests into atomic, testable statements
- Adding domain theory grounding to technical requirements
- Transforming "build X" requests into detailed implementation specs
- Learning prompt engineering best practices with proven frameworks
Key features:
- EARS transformation: 5 sentence patterns (ubiquitous, event-driven, state-driven, conditional, unwanted behavior)
- 6-step optimization workflow: Analyze → Transform → Identify theories → Extract examples → Enhance → Present
- Domain theory catalog: 40+ frameworks mapped to 10 domains (productivity, UX, gamification, learning, e-commerce, security)
- Structured prompt framework: Role/Skills/Workflows/Examples/Formats template
- Advanced techniques: Multi-stakeholder requirements, non-functional specs, complex conditional logic
- Complete examples: Procrastination app, e-commerce product page, learning dashboard, password reset
- Theory grounding: GTD, BJ Fogg Behavior Model, Gestalt Principles, AIDA, Zero Trust, and more
- Progressive disclosure: Bundled references (ears_syntax.md, domain_theories.md, examples.md)
Example usage:
# Before (vague)
"Build me a password reset feature"
# After EARS transformation (7 atomic requirements)
1. When user clicks "Forgot Password", the system shall display email input field
2. When user submits valid email, the system shall send password reset link valid for 1 hour
3. When user clicks reset link, the system shall verify token has not expired
4. When token is valid, the system shall display password creation form requiring minimum 12 characters, 1 uppercase, 1 number, 1 special character
5. When user submits new password meeting requirements, the system shall hash password with bcrypt and invalidate reset token
6. When user attempts password reset more than 3 times in 1 hour, the system shall block further attempts for 1 hour
7. If reset token has expired, the system shall display error message and option to request new link
# Enhanced with domain theories
- Zero Trust Architecture (verify at each step)
- Defense in Depth (rate limiting + token expiration + password complexity)
- Progressive Disclosure (multi-step UX flow)
# Full prompt includes Role, Skills, Workflows, Examples, Formats
🎬 Live Demo
Coming soon
📚 Documentation: See prompt-optimizer/references/ for:
ears_syntax.md- Complete EARS patterns and transformation rulesdomain_theories.md- 40+ theories mapped to domains with selection guidanceexamples.md- Full transformation examples with before/after comparisons
💡 Innovation: EARS methodology eliminates ambiguity by forcing explicit conditions, triggers, and measurable criteria. Combined with domain theory grounding (GTD, BJ Fogg, Gestalt, etc.), it transforms "build a todo app" into a complete specification with behavioral psychology principles, UX best practices, and concrete test cases - enabling test-driven development from day one.
18. claude-code-history-files-finder - Session History Recovery
Find and recover content from Claude Code session history files stored in ~/.claude/projects/.
When to use:
- Recovering deleted or lost files from previous Claude Code sessions
- Searching for specific code across conversation history
- Tracking file modifications across multiple sessions
- Finding sessions containing specific keywords or implementations
Key features:
- Session search: Find sessions by keywords with frequency ranking
- Content recovery: Extract files from Write tool calls with deduplication
- Statistics analysis: Message counts, tool usage breakdown, file operations
- Batch operations: Process multiple sessions with keyword filtering
- Streaming processing: Handle large session files (>100MB) efficiently
Example usage:
# List recent sessions for a project
python3 scripts/analyze_sessions.py list /path/to/project
# Search sessions for keywords
python3 scripts/analyze_sessions.py search /path/to/project "ComponentName" "featureX"
# Recover deleted files from a session
python3 scripts/recover_content.py ~/.claude/projects/.../session.jsonl -k DeletedComponent -o ./recovered/
# Get session statistics
python3 scripts/analyze_sessions.py stats /path/to/session.jsonl --show-files
🎬 Live Demo
Coming soon
📚 Documentation: See claude-code-history-files-finder/references/ for:
session_file_format.md- JSONL structure and extraction patternsworkflow_examples.md- Detailed recovery and analysis workflows
19. docs-cleaner - Documentation Consolidation
Consolidate redundant documentation while preserving all valuable content.
When to use:
- Cleaning up documentation bloat across projects
- Merging redundant docs covering the same topics
- Reducing documentation sprawl after rapid development
- Consolidating multiple files into authoritative sources
Key features:
- Content preservation: Never lose valuable information during cleanup
- Redundancy detection: Identify overlapping documentation
- Smart merging: Combine related docs while maintaining structure
- Validation: Ensure consolidated docs are complete and accurate
🎬 Live Demo
Coming soon
20. skills-search - CCPM Skill Registry Search
Search, discover, install, and manage Claude Code skills from the CCPM (Claude Code Plugin Manager) registry.
When to use:
- Finding skills for specific tasks (e.g., "find PDF skills")
- Installing skills by name
- Listing currently installed skills
- Getting detailed information about a skill
- Managing your Claude Code skill collection
Key features:
- Registry search: Search CCPM registry with
ccpm search <query> - Skill installation: Install skills with
ccpm install <skill-name> - Version support: Install specific versions with
@versionsyntax - Bundle installation: Install pre-configured skill bundles (web-dev, content-creation, developer-tools)
- Multiple formats: Supports registry names, GitHub owner/repo, and full URLs
- Skill info: Get detailed skill information with
ccpm info <skill-name>
Example usage:
# Search for skills
ccpm search pdf # Find PDF-related skills
ccpm search "code review" # Find code review skills
# Install skills
ccpm install skill-creator # From registry
ccpm install daymade/skill-creator # From GitHub
ccpm install skill-creator@1.0.0 # Specific version
# List and manage
ccpm list # List installed skills
ccpm info skill-creator # Get skill details
ccpm uninstall pdf-processor # Remove a skill
# Install bundles
ccpm install-bundle web-dev # Install web development skills bundle
🎬 Live Demo
Coming soon
📚 Documentation: See skills-search/SKILL.md for complete command reference
Requirements: CCPM CLI (npm install -g @daymade/ccpm)
🎬 Interactive Demo Gallery
Want to see all demos in one place with click-to-enlarge functionality? Check out our interactive demo gallery or browse the demos directory.
🎯 Use Cases
For GitHub Workflows
Use github-ops to streamline PR creation, issue management, and API operations.
For Documentation
Combine markdown-tools for document conversion and mermaid-tools for diagram generation to create comprehensive documentation. Use llm-icon-finder to add brand icons.
For Team Communication
Use teams-channel-post-writer to share knowledge and statusline-generator to track costs while working.
For Repository Management & Security
Use repomix-unmixer to extract and validate repomix-packed skills or repositories. Use repomix-safe-mixer to package codebases securely, automatically detecting and blocking hardcoded credentials before distribution.
For Skill Development
Use skill-creator (see Essential Skill section above) to build, validate, and package your own Claude Code skills following best practices.
For Presentations & Business Communication
Use ppt-creator to generate professional slide decks with data visualizations, structured storytelling, and complete PPTX output for pitches, reviews, and keynotes.
For Video Quality Analysis
Use video-comparer to analyze compression results, evaluate codec performance, and generate interactive comparison reports. Combine with youtube-downloader to compare different quality downloads.
For Media & Content Download
Use youtube-downloader to download YouTube videos and extract audio from videos with automatic workarounds for common download issues.
For Transcription & ASR Correction
Use transcript-fixer to correct speech-to-text errors in meeting notes, lectures, and interviews through dictionary-based rules and AI-powered corrections with automatic learning.
For QA Testing & Quality Assurance
Use qa-expert to establish comprehensive QA testing infrastructure with autonomous LLM execution, Google Testing Standards, and OWASP security testing. Perfect for project launches, third-party QA handoffs, and enforcing quality gates (100% execution, ≥80% pass rate, 0 P0 bugs). The master prompt enables 100x faster test execution with zero tracking errors.
For Prompt Engineering & Requirements Engineering
Use prompt-optimizer to transform vague feature requests into precise EARS specifications with domain theory grounding. Perfect for product requirements documents, AI-assisted coding, and learning prompt engineering best practices. Combine with skill-creator to create well-structured skill prompts, or with ppt-creator to ensure presentation content requirements are clearly specified.
For Session History & File Recovery
Use claude-code-history-files-finder to recover deleted files from previous Claude Code sessions, search for specific implementations across conversation history, or track file evolution over time. Essential for recovering accidentally deleted code or finding that feature implementation you remember but can't locate.
For Documentation Maintenance
Use docs-cleaner to consolidate redundant documentation while preserving valuable content. Perfect for cleaning up documentation sprawl after rapid development phases or merging overlapping docs into authoritative sources.
For Skill Discovery & Management
Use skills-search to find, install, and manage Claude Code skills from the CCPM registry. Perfect for discovering new skills for specific tasks, installing skill bundles for common workflows, and keeping your skill collection organized.
📚 Documentation
Each skill includes:
- SKILL.md: Core instructions and workflows
- scripts/: Executable utilities (Python/Bash)
- references/: Detailed documentation
- assets/: Templates and resources (where applicable)
Quick Links
- github-ops: See
github-ops/references/api_reference.mdfor API documentation - markdown-tools: See
markdown-tools/references/conversion-examples.mdfor conversion scenarios - mermaid-tools: See
mermaid-tools/references/setup_and_troubleshooting.mdfor setup guide - statusline-generator: See
statusline-generator/references/color_codes.mdfor customization - teams-channel-post-writer: See
teams-channel-post-writer/references/writing-guidelines.mdfor quality standards - repomix-unmixer: See
repomix-unmixer/references/repomix-format.mdfor format specifications - skill-creator: See
skill-creator/SKILL.mdfor complete skill creation workflow - llm-icon-finder: See
llm-icon-finder/references/icons-list.mdfor available icons - cli-demo-generator: See
cli-demo-generator/references/vhs_syntax.mdfor VHS syntax andcli-demo-generator/references/best_practices.mdfor demo guidelines - ppt-creator: See
ppt-creator/references/WORKFLOW.mdfor 9-stage creation process andppt-creator/references/ORCHESTRATION_OVERVIEW.mdfor automation - youtube-downloader: See
youtube-downloader/SKILL.mdfor usage examples and troubleshooting - repomix-safe-mixer: See
repomix-safe-mixer/references/common_secrets.mdfor detected credential patterns - video-comparer: See
video-comparer/references/video_metrics.mdfor quality metrics interpretation andvideo-comparer/references/configuration.mdfor customization options - transcript-fixer: See
transcript-fixer/references/workflow_guide.mdfor step-by-step workflows andtranscript-fixer/references/team_collaboration.mdfor collaboration patterns - qa-expert: See
qa-expert/references/master_qa_prompt.mdfor autonomous execution (100x speedup) andqa-expert/references/google_testing_standards.mdfor AAA pattern and OWASP testing - prompt-optimizer: See
prompt-optimizer/references/ears_syntax.mdfor EARS transformation patterns,prompt-optimizer/references/domain_theories.mdfor theory catalog, andprompt-optimizer/references/examples.mdfor complete transformations - claude-code-history-files-finder: See
claude-code-history-files-finder/references/session_file_format.mdfor JSONL structure andclaude-code-history-files-finder/references/workflow_examples.mdfor recovery workflows - docs-cleaner: See
docs-cleaner/SKILL.mdfor consolidation workflows - skills-search: See
skills-search/SKILL.mdfor CCPM CLI commands and registry operations
🛠️ Requirements
- Claude Code 2.0.13 or higher
- Python 3.6+ (for scripts in multiple skills)
- gh CLI (for github-ops)
- markitdown (for markdown-tools)
- mermaid-cli (for mermaid-tools)
- yt-dlp (for youtube-downloader):
brew install yt-dlporpip install yt-dlp - FFmpeg/FFprobe (for video-comparer):
brew install ffmpeg,apt install ffmpeg, orwinget install ffmpeg - VHS (for cli-demo-generator):
brew install vhs - asciinema (optional, for cli-demo-generator interactive recording)
- ccusage (optional, for statusline cost tracking)
- pandas & matplotlib (optional, for ppt-creator chart generation)
- Marp CLI (optional, for ppt-creator Marp PPTX export):
npm install -g @marp-team/marp-cli - repomix (for repomix-safe-mixer):
npm install -g repomix - CCPM CLI (for skills-search):
npm install -g @daymade/ccpm
❓ FAQ
How do I know which skills to install?
Start with skill-creator if you want to create your own skills. Otherwise, browse the Other Available Skills section and install what matches your workflow.
Can I use these skills without Claude Code?
No, these skills are specifically designed for Claude Code. You'll need Claude Code 2.0.13 or higher.
How do I update skills?
Use the same install command to update:
claude plugin install skill-name@daymade/claude-code-skills
Can I contribute my own skill?
Absolutely! See CONTRIBUTING.md for guidelines. We recommend using the skill-creator to ensure your skill meets quality standards.
Are these skills safe to use?
Yes, all skills are open-source and reviewed. The code is available in this repository for inspection.
How do Chinese users handle API access?
We recommend using CC-Switch to manage API provider configurations. See the Chinese User Guide section above.
What's the difference between skill-creator and other skills?
skill-creator is a meta-skill - it helps you create other skills. The other 7 skills are end-user skills that provide specific functionalities (GitHub ops, document conversion, etc.). If you want to extend Claude Code with your own workflows, start with skill-creator.
🤝 Contributing
Contributions are welcome! Please feel free to:
- Open issues for bugs or feature requests
- Submit pull requests with improvements
- Share feedback on skill quality
Skill Quality Standards
All skills in this marketplace follow:
- Imperative/infinitive writing style
- Progressive disclosure pattern
- Proper resource organization
- Comprehensive documentation
- Tested and validated
📄 License
This marketplace is licensed under the MIT License - see the LICENSE file for details.
⭐ Support
If you find these skills useful, please:
- ⭐ Star this repository
- 🐛 Report issues
- 💡 Suggest improvements
- 📢 Share with your team
🔗 Related Resources
📞 Contact
- GitHub: @daymade
- Email: daymadev89@gmail.com
- Repository: daymade/claude-code-skills
Built with ❤️ using the skill-creator skill for Claude Code
Last updated: 2025-10-22 | Version 1.2.0













