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Found 80 Skills
Multi-Model Collaboration — Invoke gemini-agent and codex-agent for auxiliary analysis **Trigger Scenarios** (Proactive Use): - In-depth code analysis: algorithm understanding, performance bottleneck identification, architecture sorting - Large-scale exploration: 5+ files, module dependency tracking, call chain tracing - Complex reasoning: solution evaluation, logic verification, concurrent security analysis - Multi-perspective decision-making: requiring analysis from different angles before comprehensive judgment **Non-Trigger Scenarios**: - Simple modifications (clear changes in 1-2 files) - File searching (use Explore or Glob/Grep) - Read/write operations on known paths **Core Principle**: You are the decision-maker and executor, while external models are consultants.
Recursive Language Models (RLM) CLI - enables LLMs to recursively process large contexts by decomposing inputs and calling themselves over parts. Use for code analysis, diff reviews, codebase exploration. Triggers on "rlm ask", "rlm complete", "rlm search", "rlm index".
Explore and analyze GitHub repositories related to a research topic. Reads deep-research output, discovers repos from multiple sources, deeply analyzes code, and produces integration blueprints.
Microscopic deconstruction and exhaustive analysis of code, systems, documents, or concepts. Breaks subjects into atomic components, examines every facet, and produces encyclopedic reports. Use when deep understanding is needed before making changes, analyzing unfamiliar codebases, or producing thorough technical documentation. Triggers on "심층 분석", "deep dive", "분석해줘", "해부", "deconstruct", "뜯어봐", "thoroughly analyze", "코드 분석".
Build a persistent knowledge graph of your codebase so Claude reads only what matters — up to 49x fewer tokens on coding tasks.
Token-efficient GitHub source code exploration via tree-sitter AST parsing and structured retrieval
High-performance code intelligence MCP server that indexes codebases into knowledge graphs for structural queries, call traces, and architecture analysis
🔥 Roast code quality in Gordon Ramsay's sharp-tongued style and generate funny yet practical code review reports
Executes OpenAI Codex CLI for code analysis, refactoring, and automated editing. Activates when users mention codex commands, code review requests, or automated code transformations requiring advanced reasoning models.
Intelligent project knowledge base construction tool that automatically analyzes code to extract implicit knowledge, generates structured documents and architecture diagrams, and supports 13+ mainstream frameworks (React/Vue/Django/Spring Boot, etc.)
Explore a codebase with parallel Haiku agents. Modes - --fast (1 agent), default (3), --deep (5). Use when user says "learn [repo]", "explore codebase", "study this repo".
Get a token-efficient overview of any project using the TLDR stack