AgentStack
SKILL verified MIT Self-run

Amanah Atlas Generator

skill-nhadi-amanahagent-blueprint-skills-atlas-generator · by NHadi

Use for generate atlas, create atlas, setup atlas, initialize atlas, project context, scan project, analyze codebase, generate project maps. Scans any project and auto-generates .amanah/atlas/ context files for the blueprint generator.

No reviews yet
0 installs
4 views
0.0% view→install

Install

$ agentstack add skill-nhadi-amanahagent-blueprint-skills-atlas-generator

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Amanah Atlas Generator? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

Amanah Atlas Generator

Scans any project's codebase and auto-generates .amanah/atlas/ — persistent project context maps that the blueprint generator reads before creating specs.

When to Use

  • User says "generate atlas", "setup atlas", "create atlas for this project"
  • User says "initialize project context", "scan project"
  • User runs /atlas or /setup-atlas
  • After installing .amanah/ in a new project (atlas is the first thing to set up)

What It Does

flowchart LR
    A[Scan Project] --> B[Detect Stack]
    B --> C[Analyze Patterns]
    C --> D[Extract Conventions]
    D --> E[Generate 5 Atlas Files]
    E --> F[User adds custom maps]

    style A fill:#3498DB,color:#fff
    style B fill:#3498DB,color:#fff
    style C fill:#9B59B6,color:#fff
    style D fill:#9B59B6,color:#fff
    style E fill:#2ECC71,color:#fff
    style F fill:#F39C12,color:#fff

Process

Step 1: Detect Stack

Check project root for indicators:

| File | Stack | |------|-------| | requirements.txt / pyproject.toml / setup.py | Python | | package.json / tsconfig.json | Node.js / TypeScript | | go.mod | Go | | pom.xml / build.gradle | Java | | Cargo.toml | Rust | | Gemfile | Ruby | | composer.json | PHP | | *.csproj / *.sln | .NET / C# |

Also check:

  • CLAUDE.md, README.md for project description
  • Framework-specific files: next.config.js (Next.js), django_settings.py (Django), fastapi imports, etc.
  • Database files: prisma/schema.prisma, alembic/, migrations/

Step 2: Read Existing Context

Read in order:

  1. CLAUDE.md — existing AI instructions
  2. README.md — project overview
  3. CONTRIBUTING.md — if exists
  4. Framework config files (package.json, requirements.txt, etc.)
  5. Any existing .amanah/ or .kiro/ context files

Step 3: Scan Codebase Structure

Run directory listing and pattern detection:

1. ls / glob the root directory
2. Identify key directories: src/, api/, app/, lib/, tests/, etc.
3. Find entry points: main.py, index.ts, App.tsx, server.js, etc.
4. Find config: settings.py, .env.example, config.ts, etc.
5. Find database: models/, prisma/, alembic/, migrations/
6. Find tests: tests/, __tests__/, spec/

Step 4: Extract Patterns

Search for recurring code patterns:

  • Model pattern: grep for class.*Model or schema or @Entity
  • Service pattern: grep for class.*Service or service-like files
  • Router/Controller pattern: grep for router or @Controller or app.get
  • Test pattern: grep for test or describe or it(
  • Response format: grep for return.*status or res.json

Step 5: Generate Atlas Files

Generate 5 core atlas files. Each file MUST be filled with REAL content from the project (not templates or placeholders).

5.1 product.md — Product Landscape

Generate by reading README + CLAUDE.md:

# {Project Name} — Product Overview

## What Is This?
{From README/CLAUDE.md — 1-2 paragraphs}

## Core Concepts
{List 3-8 key architectural concepts found in the code}

## Key User Roles
{List roles found in auth/permissions code}

## Business Model
{From README or inferred from billing/payment code}

## What AI Should Know When Working Here
{3-5 critical rules derived from CLAUDE.md and code patterns}
5.2 tech.md — Tech Terrain

Generate by analyzing dependencies and config:

# {Project Name} — Technology Stack

## Core Stack
{From package.json / requirements.txt / go.mod — language, framework, ORM, etc.}

## Databases
{From config files — DB type, driver, env vars}

## External Services
{From dependencies — payment, email, AI providers, etc.}

## Key Libraries
{Top 10 libraries from dependency file with purposes}

## Architecture Pattern
{From directory structure — Router → Service → Data, or MVC, etc.}

## Auth Flow
{From auth/dependencies code}

## Development Commands
{From package.json scripts / Makefile / README}
5.3 structure.md — Code Map

Generate by scanning directories and code patterns:

# {Project Name} — Project Structure & Patterns

## Directory Layout
{Full tree from glob/ls — annotated with what each dir does}

## Code Patterns
{Actual patterns found in the codebase — with REAL code examples from the project}
### Model Pattern
{Found pattern with example}
### Service Pattern
{Found pattern with example}
### Router/Controller Pattern
{Found pattern with example}

## API Response Format
{From actual API code — JSON shape}

## Critical Rules
{From CLAUDE.md + inferred from code}

## Key File Locations
{Table: "Need to do X → look at Y"}
5.4 conventions.md — Rules of the Land

Generate by analyzing import patterns, naming, and gotchas:

# {Project Name} — Conventions & Gotchas

## Import Order
{From actual import statements in 3-5 files}

## Common Gotchas
{Patterns that look wrong but are intentional, or common mistakes}
{Look for: comments like "IMPORTANT", "NOTE", "DON'T", "FIXME" in code}

## Naming Conventions
{Table derived from actual file/class/function names in the project}

## Response Patterns
{Actual API response shapes from router code}

## Do's and Don'ts
{Inferred from CLAUDE.md rules + code patterns}
5.5 quickstart.md — Trails to Follow

Generate by analyzing common task patterns:

# {Project Name} — Quick Start Recipes

## Common Tasks — Copy-Paste Ready

### Add a New API Endpoint
{Derived from existing router files — exact steps for THIS project}

### Add a New {Project-Specific Concept}
{E.g., for Django: Add a new model. For Next.js: Add a new page.}

## Quick Commands
{From package.json scripts, Makefile, or README}

## Environment Quick Setup
{From README or .env.example}

Step 6: Suggest Custom Maps

After generating the 5 core files, suggest custom atlas maps the user might want to add:

Atlas generated successfully! 5 core maps created in .amanah/atlas/

You can also add CUSTOM maps for specific subsystems:
- .amanah/atlas/auth.md          — Deep dive on authentication/authorization
- .amanah/atlas/payments.md      — Payment integration details
- .amanah/atlas/pipeline.md      — Message/data pipeline architecture
- .amanah/atlas/{subsystem}.md   — Any other subsystem deep dive

Custom maps are automatically read by the blueprint generator alongside
the core 5 files. Add them when a subsystem needs more context than
the core maps provide.

To add a custom map: create a new .md file in .amanah/atlas/ and fill
it with subsystem-specific knowledge.

Rules

  • Read everything before writing anything — Don't generate atlas files until the full codebase scan is complete
  • Use REAL content — Never use placeholder text like {project_name}. Every line should be actual project knowledge
  • Extract from code, not imagination — Patterns, conventions, and gotchas come from reading actual source files
  • Read at least 5 source files per atlas file to ensure accuracy
  • Verify file paths — Every path mentioned in atlas must actually exist (glob/grep verify)
  • Adapt to stack — Don't force Python patterns on a TypeScript project. Detect and adapt
  • Keep it concise — Each atlas file should be 50-150 lines. Dense, useful, no fluff
  • Custom maps are user-driven — Only suggest custom map topics, don't auto-generate them
  • Preserve existing atlas — If .amanah/atlas/ already has files, ask before overwriting. Only regenerate files the user requests

Validation

After generating atlas files, verify:

  • [ ] All 5 core files exist: product.md, tech.md, structure.md, conventions.md, quickstart.md
  • [ ] No placeholder text ({}, TODO, FIXME, "placeholder")
  • [ ] File paths mentioned in files actually exist in the project
  • [ ] Code examples are from actual project files (not made up)
  • [ ] Import statements match what's actually in the source files
  • [ ] Commands work (from package.json scripts / Makefile)
  • [ ] Naming conventions match actual file/class names
  • [ ] No contradictions between atlas files (e.g., tech.md says PostgreSQL but structure.md says MySQL)

Output Format

After completion, show the user:

Atlas generated in .amanah/atlas/

| File | Lines | Content |
|------|-------|---------|
| product.md | {N} | {Brief: what concepts are covered} |
| tech.md | {N} | {Brief: what stack/libraries documented} |
| structure.md | {N} | {Brief: what patterns documented} |
| conventions.md | {N} | {Brief: what gotchas/rules listed} |
| quickstart.md | {N} | {Brief: what recipes included} |

The blueprint generator will now read these files before generating
any blueprint in this project.

To add custom maps for specific subsystems:
  .amanah/atlas/{subsystem}.md

To regenerate a specific map:
  "regenerate atlas tech.md"

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.