cartography

alvinunreal/oh-my-opencode-slim · updated Apr 20, 2026

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$npx skills add https://github.com/alvinunreal/oh-my-opencode-slim --skill cartography
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summary

You help users understand and map repositories by creating hierarchical codemaps.

skill.md

Cartography Skill

You help users understand and map repositories by creating hierarchical codemaps.

When to Use

  • User asks to understand/map a repository
  • User wants codebase documentation
  • Starting work on an unfamiliar codebase

Workflow

Step 1: Check for Existing State

First, check if .slim/cartography.json exists in the repo root.

If it exists: Skip to Step 3 (Detect Changes) - no need to re-initialize.

If it doesn't exist: Continue to Step 2 (Initialize).

Step 2: Initialize (Only if no state exists)

  1. Analyze the repository structure - List files, understand directories
  2. Infer patterns for core code/config files ONLY to include:
    • Include: src/**/*.ts, package.json, etc.
    • Exclude (MANDATORY): Do NOT include tests, documentation, or translations.
      • Tests: **/*.test.ts, **/*.spec.ts, tests/**, __tests__/**
      • Docs: docs/**, *.md (except root README.md if needed), LICENSE
      • Build/Deps: node_modules/**, dist/**, build/**, *.min.js
    • Respect .gitignore automatically
  3. Run cartographer.py init:
python3 ~/.config/opencode/skills/cartography/scripts/cartographer.py init \
  --root ./ \
  --include "src/**/*.ts" \
  --exclude "**/*.test.ts" --exclude "dist/**" --exclude "node_modules/**"

This creates:

  • .slim/cartography.json - File and folder hashes for change detection
  • Empty codemap.md files in all relevant subdirectories
  1. Delegate to Explorer agents - Spawn one explorer per folder to read code and fill in its specific codemap.md file.

Step 3: Detect Changes (If state already exists)

  1. Run cartographer.py changes to see what changed:
python3 ~/.config/opencode/skills/cartography/scripts/cartographer.py changes \
  --root ./
  1. Review the output - It shows:

    • Added files
    • Removed files
    • Modified files
    • Affected folders
  2. Only update affected codemaps - Spawn one explorer per affected folder to update its codemap.md.

  3. Run update to save new state:

python3 ~/.config/opencode/skills/cartography/scripts/cartographer.py update \
  --root ./

Step 4: Finalize Repository Atlas (Root Codemap)

Once all specific directories are mapped, the Orchestrator must create or update the root codemap.md. This file serves as the Master Entry Point for any agent or human entering the repository.

  1. Map Root Assets: Document the root-level files (e.g., package.json, index.ts, plugin.json) and the project's overall purpose.
  2. Aggregate Sub-Maps: Create a "Repository Directory Map" section. For every folder that has a codemap.md, extract its Responsibility summary and include it in a table or list in the root map.
  3. Cross-Reference: Ensure that the root map contains the absolute or relative paths to the sub-maps so agents can jump directly to the relevant details.

Step 5: Register Codemap in AGENTS.md

OpenCode auto-loads AGENTS.md into agent context on every session. To ensure agents automatically discover and use the codemap, update (or create) AGENTS.md at the repo root:

  1. If AGENTS.md already exists and already contains a ## Repository Map section, skip this step — the reference is already set up.
  2. If AGENTS.md exists but has no ## Repository Map section, append the section below.
  3. If AGENTS.md doesn't exist, create it with the section below.
## Repository Map

A full codemap is available at `codemap.md` in the project root.

Before working on any task, read `codemap.md` to understand:
- Project architecture and entry points
- Directory responsibilities and design patterns
- Data flow and integration points between modules

For deep work on a specific folder, also read that folder's `codemap.md`.

This is idempotent — repeated cartography runs will detect the existing section and skip. No duplication.

Codemap Content

Explorers are granted write permissions for codemap.md files during this workflow. Use precise technical terminology to document the implementation:

  • Responsibility - Define the specific role of this directory using standard software engineering terms (e.g., "Service Layer", "Data Access Object", "Middleware").
  • Design Patterns - Identify and name specific patterns used (e.g., "Observer", "Singleton", "Factory", "Strategy"). Detail the abstractions and interfaces.
  • Data & Control Flow - Explicitly trace how data enters and leaves the module. Mention specific function call sequences and state transitions.
  • Integration Points - List dependencies and consumer modules. Use technical names for hooks, events, or API endpoints.

Example codemap:

# src/agents/

## Responsibility
Defines agent personalities and manages their configuration lifecycle.

## Design
Each agent is a prompt + permission set. Config system uses:
- Default prompts (orchestrator.ts, explorer.ts, etc.)
- User overrides from ~/.config/opencode/oh-my-opencode-slim.json
- Permission wildcards for skill/MCP access control

## Flow
1. Plugin loads → calls getAgentConfigs()
2. Reads user config preset
3. Merges defaults with overrides
4. Applies permission rules (wildcard expansion)
5. Returns agent configs to OpenCode

## Integration
- Consumed by: Main plugin (src/index.ts)
- Depends on: Config loader, skills registry

Example Root Codemap (Atlas):

# Repository Atlas: oh-my-opencode-slim

## Project Responsibility
A high-performance, low-latency agent orchestration plugin for OpenCode, focusing on specialized sub-agent delegation and background task management.

## System Entry Points
- `src/index.ts`: Plugin initialization and OpenCode integration.
- `package.json`: Dependency manifest and build scripts.
- `oh-my-opencode-slim.json`: User configuration schema.

## Directory Map (Aggregated)
| Directory | Responsibility Summary | Detailed Map |
|-----------|------------------------|--------------|
| `src/agents/` | Defines agent personalities (Orchestrator, Explorer) and manages model routing. | [View Map](src/agents/codemap.md) |
| `src/features/` | Core logic for tmux integration, background task spawning, and session state. | [View Map](src/features/codemap.md) |
| `src/config/` | Implements the configuration loading pipeline and environment variable injection. | [View Map](src/config/codemap.md) |
how to use cartography

How to use cartography on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add cartography
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/alvinunreal/oh-my-opencode-slim --skill cartography

The skills CLI fetches cartography from GitHub repository alvinunreal/oh-my-opencode-slim and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/cartography

Reload or restart Cursor to activate cartography. Access the skill through slash commands (e.g., /cartography) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.767 reviews
  • Min Ndlovu· Dec 28, 2024

    We added cartography from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Aisha Diallo· Dec 16, 2024

    Useful defaults in cartography — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Amina Sharma· Dec 12, 2024

    Registry listing for cartography matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Shikha Mishra· Dec 8, 2024

    We added cartography from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Zara Patel· Dec 4, 2024

    Useful defaults in cartography — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Rahul Santra· Nov 27, 2024

    Useful defaults in cartography — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aisha Ndlovu· Nov 23, 2024

    We added cartography from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amina Shah· Nov 19, 2024

    Useful defaults in cartography — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chinedu Malhotra· Nov 7, 2024

    We added cartography from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amina Martin· Nov 3, 2024

    cartography reduced setup friction for our internal harness; good balance of opinion and flexibility.

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