GitHub
enacthello-go
A simple Go greeting tool
☆ 16查看技能
documentation llm ai AI 技能
发现 documentation llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: documentation llm ai
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GitHub
enactfirecrawl
Scrape, crawl, search, and extract structured data from websites using Firecrawl API - converts web pages to LLM-ready markdown
☆ 16查看技能
GitHub
enacthello-python
A simple Python greeting tool
☆ 16查看技能
GitHub
enacthello-rust
A simple Rust greeting tool
☆ 16查看技能
GitHub
enacthello-ruby
A simple Ruby greeting tool
☆ 16查看技能
GitHub
gemini-image
Analyze images using Gemini's vision capabilities. Use for image analysis, text extraction from screenshots, and visual content understanding.
☆ 16查看技能
GitHub
lessons
Capture and review lessons learned from coding sessions. Use to record insights, read past lessons, and improve over time.
☆ 16查看技能
GitHub
article
Generate technical articles and documentation using AI. Use for writing blog posts, documentation, and technical content.
☆ 16查看技能
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.
☆ 16查看技能
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.
☆ 16查看技能
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.
☆ 16查看技能
GitHub
think
Deep multi-framework reasoning using Gemini. Use for complex problem analysis, challenging ideas, and evaluating multiple options with structured thinking.
☆ 16查看技能
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.
☆ 16查看技能
GitHub
memory
Persistent knowledge storage using basic-memory CLI. Use to save notes, search memories semantically, and build context for topics across sessions.
☆ 16查看技能
GitHub
pipeline
Chain multiple operations together in pipelines. Use for multi-step workflows, combining research with analysis, and complex automated tasks.
☆ 16查看技能
GitHub
brainstorm
Generate ideas and explore possibilities with AI. Use for creative problem solving, generating alternatives, and expanding on concepts.
☆ 16查看技能
GitHub
agent-mail
Inter-agent communication for multi-agent workflows. Use when multiple agents need to coordinate, share information, or reserve resources.
☆ 16查看技能
GitHub
council-of-five
Spawn 5 Opus subagents with randomly-generated distinct personas to debate a problem from multiple angles. Use when exploring UX decisions, architecture choices, or any decision that benefits from diverse persp...
☆ 16查看技能
GitHub
investigate
Debug and investigate code issues using search and AI analysis. Use when stuck on bugs, tracing execution flow, or understanding complex code.
☆ 16查看技能
GitHub
cass
Always search before starting any work across all coding agent session histories (Claude Code, Codex, Cursor, Gemini CLI, Aider, ChatGPT) to find whatever we've discussed before.
☆ 16查看技能
GitHub
cass-memory
Contextual learning system that remembers patterns and rules from past sessions. Use to get relevant context before tasks, record outcomes, and build a personal playbook of coding patterns.
☆ 16查看技能
GitHub
council-orchestrator
Orchestrates multi-model LLM consensus through a three-phase deliberation protocol. Use when you need collaborative AI review, multi-model problem-solving, code review from multiple perspectives, or consensus-b...
☆ 16查看技能
GitHub
subagent-prompt-construction
Systematic methodology for constructing compact (
☆ 16查看技能
GitHub
methodology-bootstrapping
Apply Bootstrapped AI Methodology Engineering (BAIME) to develop project-specific methodologies through systematic Observe-Codify-Automate cycles with dual-layer value functions (instance quality + methodology...
☆ 16查看技能
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。