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    Claude Code Project Context Builder Skill

    1

    Automate the creation of evidence-backed CLAUDE.md context files for complex codebases and monorepos.

    $39.99

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    Claude Code Project Context Builder Skill

    Claude Code Project Context Builder Skill

    Example session with this skill installed

    Generate context files for this TypeScript monorepo. It has a Next.js app in /apps/web and a NestJS API in /apps/api. I've attached the root tree and package.json files.

    • Read your context and instructions
    • Compiled the claude code project

    I have analyzed the repository structure and manifests for your TypeScript monorepo. The following context system is designed to help Claude Code navigate the distinct requirements of your Next.js frontend and NestJS backend.

    Repository Profile

    ComponentPathTech StackPrimary Entry Point
    Root/Turborepo, pnpmpackage.json
    Web App/apps/webNext.js, Tailwindapps/web/src/app/page.tsx
    API Service/apps/apiNestJS, Prismaapps/api/src/main.ts
    Shared UI/packages/uiReact, Radixpackages/ui/index.ts

    Root CLAUDE.md

    
# Project Context: TS-Monorepo
Standardized instructions for the workspace.

## Tech Stack
- Monorepo: Turborepo / pnpm
- Languages: TypeScript
- Apps: Next.js (Web), NestJS (API)

## Global Commands
- Build all: `pnpm build`
- Test all: `pnpm test`
- Lint all: `pnpm lint`

## Architecture & Navigation
- Frontend: Located in `apps/web`. Uses App Router.
- Backend: Located in `apps/api`. Uses Controller/Service pattern.
- Shared Components: Located in `packages/ui`.

## Change Safety
- Never modify `packages/*` without checking downstream impacts in `apps/*`.
- All new features require matching tests in the respective app's `tests/` directory.

    Scoped Context: apps/api/CLAUDE.md

    
# API Service Context
Specific rules for the NestJS backend.

## Verified Commands
- Dev: `pnpm run dev` (from /apps/api)
- DB Migrate: `pnpm prisma migrate dev`
- Unit Tests: `pnpm test`
- E2E Tests: `pnpm test:e2e`

## Conventions
- Controllers: `*.controller.ts` (handle routing/validation)
- Services: `*.service.ts` (handle business logic)
- DTOs: Use `class-validator` for all input structures.

    Next steps

    • Review the generated CLAUDE.md files for accuracy against your local environment.
    • Place the scoped CLAUDE.md files into their respective directories to enable Claude Code's directory-specific guidance.
    • Run pnpm test in each directory to ensure the verified commands match your current environment setup.
    package.json

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Manually mapping large repositories for Claude Code is slow and error-prone. This skill automates the creation of a tiered context system that helps AI agents navigate complex codebases safely. It moves beyond simple READMEs to generate evidence-backed instruction files that Claude Code uses to understand architecture, coding conventions, and developer workflows.

    What it does

    • Architectural mapping identifies entry points, domain modules, and critical data flows across the repository.
    • Workflow extraction finds and verifies commands for building, testing, linting, and deployment from manifests and CI configs.
    • Context layering generates a root CLAUDE.md and justified scoped files for monorepo packages or distinct services.
    • Safety enforcement documents naming conventions, error handling patterns, and change-safety rules to prevent regressions.
    • Quality auditing flags assumptions, stale documentation, and potential secret exposure before finalizing context files.

    How it works

    1. Boundary analysis scans the repository tree and manifests to identify tech stacks, monorepo structures, and service boundaries.
    2. Evidence gathering traces requests through routing, business logic, and persistence layers to map internal dependencies.
    3. Instruction generation produces concise, markdown-formatted context files optimized for Claude Code's directory-scoped loading.
    4. Maintenance planning defines specific triggers for updating context when modules move or architecture changes.

    Frameworks & tools

    Works with any language or framework including React, Next.js, Node.js, Python, Go, and Rust. Optimized for monorepo tools like Turbo, Nx, or Lerna and standard package managers.

    Why this beats prompting it yourself

    Generic prompts often result in hallucinated commands or massive context dumps that waste tokens. This skill enforces an evidence-first approach, ensuring every instruction is backed by specific file paths and verified repository patterns.

    Use cases

    • Onboarding agents to massive, unfamiliar legacy codebases with complex internal dependencies.
    • Standardizing workflows across a monorepo so Claude Code knows which test runner to use in each package.
    • Improving change safety by documenting project-specific patterns that standard LLMs wouldn't know by default.

    Known limitations

    Does not support scanning files not provided in the prompt context. Cannot execute commands to verify them; verification is based on manifest analysis.

    Requires repository tree and manifest access. Cannot scan files outside provided context. Does not execute code to verify commands.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed8 days ago

    What's inside

    Frequently Asked Questions

    This skill automates the generation of tiered context files that act as a map for Claude Code, allowing it to navigate complex architectures, use the correct commands, and follow project-specific coding standards without manual prompting.

    The skill is designed for any language or framework and is specifically optimized for monorepo managers like Turbo, Nx, and Lerna to handle multi-package dependencies.

    Yes, the skill creates a root CLAUDE.md for the entire project and can generate additional scoped context files for individual packages or services within a monorepo.

    The skill uses 'evidence-based' mapping, meaning it verifies instructions against your actual manifest files (like package.json or go.mod) rather than guessing based on general knowledge.

    Upon purchase, you receive the specialized agent skill and a set of instructions for integrating it into your workflow, along with updates to the mapping logic as Claude Code's context capabilities evolve.

    The skill performs a 'Boundary Analysis' by scanning your repository tree and configuration files to identify service boundaries and tech stacks automatically.

    New in Prompt & Skill Engineering