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By varaku1012
Comprehensive codebase analysis and steering context generation for AI agents. Automatically detects project type (Next.js, React, Python, Rust, Go, monorepos) and generates architecture documentation, design patterns, quality reports, and AI-ready context files. Features parallel execution (55% faster), incremental updates, and zero configuration.
npx claudepluginhub varaku1012/aditi.code --plugin steering-context-generatorBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Generate comprehensive steering context documentation by analyzing your codebase with specialized AI agents
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Project discovery, planning, and quality analysis system with parallel agents
Camada compilada de contexto multi-layer para Claude Code. Compila projetos desconhecidos em uma estrutura .first-plan/ com discovery por stack, reuse index invertido, reconciliação spec-código, git intelligence e estado vivo. Resolve re-implementação cega, phantom features, drift e cross-session amnesia em projetos complexos.
Make a codebase agent-ready by scaffolding AGENTS.md, ARCHITECTURE.md, and docs/ structure following progressive disclosure patterns. Creates CLAUDE.md as a symlink for Claude Code compatibility.
Four-tier autonomous agent architecture with specialized agents, skills, and commands for code analysis, quality control, pattern learning, and automated validation.
Automated code review for pull requests using multiple specialized agents with confidence-based scoring
Comprehensive code quality automation with linting, testing, security scanning, and pre-commit hooks. Enforces coding standards and catches issues before commit.
Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
Claude Agent SDK Development Plugin
Streamline your git workflow with simple commands for committing, pushing, and creating pull requests
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Automation bootstrap for Claude Code. Analyzes any project and generates a complete .claude/ structure with agents, pipelines, skills, memory, hooks, and settings.
Live codebase visualization and structural quality gate — 14 health dimensions graded A-F, dependency analysis, and architecture governance via MCP