GitHub
workflow-router
Determine next agent based on state machine rules. Use AFTER receiving any BAZINGA agent response to decide what to do next.
☆ 16View skill
devops llm ai AI Skills
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GitHub
bazinga-db
DEPRECATED - Use domain-specific skills instead. Routes to bazinga-db-core, bazinga-db-workflow, bazinga-db-agents, or bazinga-db-context.
☆ 16View skill
GitHub
bazinga-db-agents
Agent logs, reasoning, and token tracking. Use when logging interactions, saving reasoning, tracking tokens, or managing events.
☆ 16View skill
GitHub
prompt-builder
Build complete agent prompts deterministically via Python script. Use BEFORE spawning any BAZINGA agent (Developer, QA, Tech Lead, PM, etc.).
☆ 16View skill
GitHub
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
☆ 16View skill
GitHub
specialization-loader
Compose technology-specific agent identity and patterns. Invoke before spawning agents (Developer, SSE, QA, Tech Lead, RE, Investigator) to enhance expertise based on project stack. Returns composed specializat...
☆ 16View skill
GitHub
context-assembler
Assembles relevant context for agent spawns with prioritized ranking. Ranks packages by relevance, enforces token budgets with graduated zones, captures error patterns for learning, and supports configurable pe...
☆ 16View skill
GitHub
video-prompting
Draft and refine prompts for video generation models (text-to-video and image-to-video). Use when a user asks for a "video prompt" or a model-specific prompt such as Ovi, Sora, Veo 3, Wan 2.2, or LTX-2, includi...
☆ 16View skill
GitHub
taskmaster-context
🎯 TaskMaster Context Writer - 自動將 Agent 報告強制寫入 .claude/context/ 目錄
☆ 16View skill
GitHub
examplescode-reviewer
AI-powered code review tool that analyzes code for bugs, style issues, and improvements
☆ 16View skill
GitHub
enactdocsguide
LLM guide for creating, publishing, and running Enact tools
☆ 16View skill
GitHub
enacthello-go
A simple Go greeting tool
☆ 16View skill
GitHub
enactfirecrawl
Scrape, crawl, search, and extract structured data from websites using Firecrawl API - converts web pages to LLM-ready markdown
☆ 16View skill
GitHub
enacthello-python
A simple Python greeting tool
☆ 16View skill
GitHub
enacthello-rust
A simple Rust greeting tool
☆ 16View skill
GitHub
enacthello-ruby
A simple Ruby greeting tool
☆ 16View skill
GitHub
gemini-image
Analyze images using Gemini's vision capabilities. Use for image analysis, text extraction from screenshots, and visual content understanding.
☆ 16View skill
GitHub
lessons
Capture and review lessons learned from coding sessions. Use to record insights, read past lessons, and improve over time.
☆ 16View skill
GitHub
article
Generate technical articles and documentation using AI. Use for writing blog posts, documentation, and technical content.
☆ 16View skill
GitHub
council
Query multiple AI agents in parallel for diverse perspectives. Use when you want multiple viewpoints on a question, to compare approaches, or to find consensus among AI models.
☆ 16View skill
GitHub
packx
Bundle code context for AI. ALWAYS use --limit 49k unless user explicitly requests otherwise. Use for creating shareable code bundles and preparing context for LLMs.
☆ 16View skill
GitHub
skill-creator
Create new Agent Skills for Claude Code. Use when user wants to create a skill, add a new capability, document a CLI workflow, or asks how skills work.
☆ 16View skill
GitHub
think
Deep multi-framework reasoning using Gemini. Use for complex problem analysis, challenging ideas, and evaluating multiple options with structured thinking.
☆ 16View skill
GitHub
gemini
Use Gemini AI for research, analysis, summarization, web search, and complex reasoning. Use when you need AI-powered research, code analysis, content summarization, or web search with synthesis.
☆ 16View skill
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.