Loading...
Loading...
Found 64 Skills
CLI tools execution specification (gemini/claude/codex/qwen/opencode) with unified prompt template, mode options, and auto-invoke triggers for code analysis and implementation tasks. Supports configurable CLI endpoints for analysis, write, and review modes.
Agent skill for test-long-runner - invoke with $agent-test-long-runner
Run OpenCode CLI for code generation, analysis, and development tasks. Uses OAuth authentication. Use for rapid prototyping, code refactoring, testing, and automation. Preferred for load balancing sub-agent work (35% weight).
Run Gemini CLI for AI-powered tasks, code understanding, file operations, and automation. Free tier with Google OAuth (included in Gemini Advanced). Use for fast generation, bulk content, debugging, and research. Preferred for load balancing sub-agent work (35% weight).
Explores codebase with structural and text search using ast-grep (syntax-aware AST matching), ripgrep (fast text/regex search), and fd (file discovery). Use when (1) navigating unfamiliar code or understanding architecture, (2) tracing call flows, symbol definitions, or usages, (3) answering "how does this work" or "where is this defined/called" questions, (4) finding files by name, extension, or path pattern, (5) pre-refactoring analysis to locate all references before changing code.
Use when you need to ask questions about a codebase or understand code using a knowledge graph
Setup and workflow for using sqry semantic code search as an MCP server with OpenAI Codex CLI. Covers installation, MCP configuration via `~/.codex/config.toml`, and recommended patterns for code analysis tasks. Install this skill to give Codex access to sqry's 34 AST-based code analysis tools.
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.
Use when writing, testing, and running CodeQL queries in VS Code, or setting up workspace configuration for the CodeQL extension.
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.)
Build a persistent knowledge graph of your codebase so Claude reads only what matters — up to 49x fewer tokens on coding tasks.
Generate comprehensive scientific research-style documentation for completed coding projects. Use when the user requests project documentation, a technical breakdown, a study paper, a lecture document, or wants to understand everything about a project they just built. Triggers include phrases like "document this project," "create a study paper," "explain everything we did," "write up the full breakdown," "scientific documentation," or "I want to learn from this project." Produces formal Word documents (.docx) with academic structure, beginner-friendly explanations, and exhaustive code analysis.