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Found 84 Skills
Systematic codebase investigation to extract architectural patterns and implementation details from an existing project, with findings persisted for long-term reuse. Use when the user wants to explore an open-source or existing codebase to understand how it works and inform the development of a new project. Triggers include: "explore this codebase", "investigate this repo", "how does X implement Y", "I want to build X, study how Y does it", "deep dive into this project", "understand how this works".
Verify structure analysis output against source code. Check file:line references, component completeness, and Mermaid diagram validity. Runs as independent Critic in fork context. Use when: verify structure, check structure map, validate phase 1, re-verify-structure.
Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"
Harness Engineering Phase 1 Step 2: Conduct in-depth analysis of project code and fill in the substantive content of each file in the docs/ knowledge base. Use this skill after the directory skeleton is created by harness-step1-create-agents-md. Immediately trigger this skill when the user says "fill document content", "improve docs/ files", "add substantive content to documents", "analyze project and write architecture document", "write ARCHITECTURE.md", or "write technical decision document". Prerequisite: The project already has AGENTS.md and the docs/ directory skeleton (created by harness-step1).
Official GitHub MCP Server for AI-powered repository management, issue/PR automation, CI/CD monitoring, and code analysis through natural language
Analyze source code and produce an enterprise-quality, domain-organized Wiki under `.nium-wiki/`. Trigger on: "generate wiki", "create docs", "update wiki", "rebuild wiki", or any documentation generation request. Capabilities: - Semantic code analysis — understands logic, not just structure - Auto-generated Mermaid diagrams (architecture, data flow, class, dependency) - Bidirectional cross-linking across all documents - SHA256-based change detection for incremental rebuilds - Every section traces back to source via relative path links - Multi-language output (zh/en/ja/ko/fr/de and more)
Analyze a codebase and generate comprehensive documentation including architecture, components, interfaces, workflows, and dependencies. Creates an AI-optimized knowledge base (index.md) and can consolidate into AGENTS.md, README.md, or CONTRIBUTING.md. Use when the user wants to document a codebase, create AGENTS.md, understand system architecture, generate developer documentation, or asks to "summarize the codebase".
Use when mapping code paths, entrypoints, and likely hot files before profiling.
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".
Swiss-army artisan CLI for Laravel to scan, inspect, debug, and explore every aspect of your Laravel application from the command line
Find technical debt patterns in codebases. Use when asked to find duplicated code, inconsistent patterns, or refactoring opportunities.
Generates module specifications following amplihack's brick philosophy template. Use when creating new modules or documenting existing ones to ensure they follow the brick & studs pattern. Analyzes code to extract: purpose, public contract, dependencies, test requirements.