Context Builder
FlaggedCodebase context aggregation agent for LLMs that scans project files, identifies key modules, and builds optimized context windows for AI-assisted development.
$ Copy the SKILL.md file to your project's .claude/skills/ directory About This Skill
Context Builder scans your codebase and produces an optimized context summary that helps LLMs understand your project quickly. It identifies the most important files, maps architecture patterns, and generates a condensed representation that fits within token limits while preserving critical information.
How It Works
- Project scanning — Reads the full directory tree, package manifests, and configuration files to map the project structure
- Importance ranking — Scores files by centrality (how many other files import them), recency (recent changes), and type (entry points, configs, schemas rank higher)
- Architecture extraction — Identifies patterns like MVC, microservices, or monorepo structures and creates a high-level architecture summary
- Context optimization — Selects the most important files and generates condensed versions that preserve function signatures, type definitions, and key logic while removing boilerplate
- Output generation — Produces a CLAUDE.md, context.md, or custom format file optimized for LLM consumption
Best For
- Developers starting AI-assisted coding sessions on large codebases
- Teams creating standardized project context files
- Open source maintainers helping AI tools understand their projects
- Engineers optimizing LLM interactions for better code generation
Use Cases
- Preparing codebase context for Claude or GPT pair programming
- Generating project summaries for new team member onboarding
- Creating architecture overviews from code analysis
- Optimizing context windows for token-limited LLM interactions
- Building .claude/CLAUDE.md files from existing projects
Pros & Cons
Pros
- +Automatically identifies the most important files in a codebase
- +Respects .gitignore to exclude sensitive files
- +Optimizes context for LLM token limits
- +Produces multiple output formats (CLAUDE.md, context.md)
Cons
- -May miss important files with unconventional naming or locations
- -Context compression can lose subtle implementation details
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