code-mapping
Creates and navigates hierarchical code maps (L0/L1/L2/L3) for AI agent and human orientation.
Skill by durandom
Chalk Labs
Need help deploying code-mapping?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/durandom-code-mapping
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/code-mapping
What's inside
- Skill name
code-mapping- Description
- Creates and navigates hierarchical code maps (L0/L1/L2/L3) for AI agent and human orientation. Use when bootstrapping codebase understanding, creating navigation documentation, exploring architecture, or validating map integrity.
- License
- GPL-3.0
- Instructions
- 132 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (24)
- SKILL.md
- domains.md · references/
- l0-architecture.md · references/examples/
- l1-domain.md · references/examples/
- l2-module.md · references/examples/
- readme.md · references/examples/
- format-spec.md · references/
- code_map.py · scripts/
- __init__.py · scripts/generate/
- differ.py · scripts/generate/
- generator.py · scripts/generate/
- models.py · scripts/generate/
- parser.py · scripts/generate/
- renderer.py · scripts/generate/
- templates.py · scripts/generate/
- ARCHITECTURE.md · scripts/generate/templates/
- README.md · scripts/generate/templates/
- domain.md · scripts/generate/templates/
- module.md · scripts/generate/templates/
- __init__.py · scripts/validate/
- lsp_client.py · scripts/validate/
- validate_map.py · scripts/validate/
- create.md · workflows/
- explore.md · workflows/
SKILL.md (first lines)
<essential_principles>
**Maps are hierarchical**: L0 (architecture) links to L1 (domains) which link to L2 (modules) which link to L3 (source code). Always start at L0 and drill down as needed.
**Anchors enable grep navigation**: Headings contain `[Lx:identifier]` markers. Find any section with `grep "\[L1:auth\]" docs/map/`.
**Size limits enforce abstraction**:
- L0: 500 lines max (system overview)
- L1: 300 lines max (domain docs)
- L2: 200 lines max (module docs)
If a doc exceeds its limit, split it into the next level down.
**Code is truth, map is derivative**: When code and map conflict, the code wins. Update the map to reflect reality.
**Bootstrap pattern**: Agents read README.md first, then ARCHITECTURE.md, then relevant domain docs based on task.
</essential_principles>
<auto_routing>
**Route based on user intent** (match first):
| User says | Action |
|-----------|--------|
| "explore", "read", "understand", "navigate", "find", "where is" | Read `workflows/explore.md`, then follow it |
| "create", "generate", "new", "build", "document", "map" | Read `workflows/create.md`, then follow it |
| "validate", "check", "verify", "lint" | Run: `uv run python scripts/code_map.py validate <map-dir>` (path relative to this SKILL.md) |
**If intent is ambiguous**, ask:
> What would you like to do?
>
> 1. **Explore** - Navigate existing map to understand codebase
> 2. **Create** - Generate a new code map
> 3. **Validate** - Check map integrity
</auto_routing>
<quick_reference>
**Directory structure**:
```
docs/map/
├── README.md # Entry point + domains index
├── ARCHITECTURE.md # L0: System overview
└── domains/ # L1: Domain docs
├── auth.md
└── api.md
```
**Anchor format**: `## [L1:identifier] Heading Text`
**Code link format**: `` [`symbol`](path/to/file.py#L42) ``
**Cross-reference format**: `[Domain Name](domains/name.md)`
</quick_reference>
<reference_index>
**Domain Knowledge** (`references/`):
| Reference | Purpose |
|-----------|---------|
| format-spec.md | Format rules for anchors, links, and size limits |
| examples/ | Input/output examples (l0-architecture.md, l1-domain.md, l2-module.md, readme.md) |
| domains.md | What domain docs should capture |
</reference_index>
<cli>
## Running the Scripts
The scripts use Python 3.11+ stdlib only (no external dependencies).
Script paths are **relative to this SKILL.md file** (not the working directory).
Derive the absolute script path from this file's location:
- If this SKILL.md is at `/path/to/code-mapping/SKILL.md`
- Then the script is at `/path/to/code-mapping/scripts/code_map.py`
```bash
# Validate an existing map
uv run python scripts/code_map.py validate <map-dir>
# Generate map skeletons from source
uv run python scripts/code_map.py generate <src-dir> <map-dir>
```
**Generate command features:**
- Creates one `.md` file per source file (1:1 mapping)
- Uses `<!-- TODO: description -->` placeholders
- Preserves filled descriptions on subsequent runs
- Reports new sections, removed sections, and unfilled placeholders
</cli>
<workflows_index>
**Workflows** (`workflows/`):
| Workflow | Purpose | Status |
|----------|---------|--------|
| explore.md | Navigate existing map to understand codebase | Ready |
| create.md | Generate new map for a codebase | Ready |
**Scripts** (`scripts/`):
| Script | Purpose | Status |
|--------|---------|--------|
| code_map.py | CLI entry point (validate, generate) | Ready |
| generate/ | Map skeleton generation from source | Ready |
| validate/ | Map validation (links, sizes, symbols) | Ready |
</workflows_index>From durandom/skills, GPL-3.0.
More from durandom/skills
- 0.539score
create-agent-skills
durandom
Expert guidance for creating, writing, building, and refining Claude Code Skills.
SkillCFreshness: C★ 7Claude Code +9 - 0.539score
para
durandom
PARA method for organizing content by actionability (Projects, Areas, Resources, Archive).
SkillCFreshness: C★ 7Claude Code +9 - 0.539score
jira
durandom
Jira issue management using jira-cli.
SkillCFreshness: C★ 7Claude Code +9 - 0.539score
crawl4ai
durandom
Web crawling and data extraction using the crwl CLI.
SkillCFreshness: C★ 7Claude Code +9 - 0.539score
create-subagents
durandom
Expert guidance for creating, building, and using Claude Code subagents and the Task tool.
SkillCFreshness: C★ 7Claude Code +9 - 0.539score
skill-architect
durandom
Design, audit, and improve Claude Code skills (SKILL.md files).
SkillCFreshness: C★ 7Claude Code - 0.539score
github
durandom
GitHub CLI operations for issues, PRs, reviews, CI, and Copilot workflows.
SkillCFreshness: C★ 7Claude Code +9 - 0.539score
recipes
durandom
Reusable development patterns and guides for AI-assisted workflows.
SkillCFreshness: C★ 7Claude Code +9 - 0.536score
b4brain
durandom
Orchestrates GTD and PARA integration.
SkillCFreshness: C★ 7Claude Code +9 - 0.536score
gtd
durandom
GTD task management with Python CLI.
SkillCFreshness: C★ 7Claude Code +9 - 0.536score
the-day
durandom
Generate daily overview (TODAY.md) with calendar, tasks, weather, and motivational content.
SkillCFreshness: C★ 7Claude Code +9 - 0.534score
cass
durandom
Searches, indexes, and exports Claude Code sessions using the cass CLI (Coding Agent Session Search), and optionally runs the cass-memory (cm) reflection…
SkillCFreshness: C★ 7Claude Code +9
Signals
- Stars
- 7
- Forks
- 3
- Open issues
- 2
- Last commit (this folder)
- May 7, 2026 (5 months ago)
- Last release
- May 7, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- GPL-3.0
- Repository
- github.com/durandom/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from durandom
- 0.539score
github
durandom
GitHub CLI operations for issues, PRs, reviews, CI, and Copilot workflows.
SkillCFreshness: C★ 7Claude Code +9 - 0.539score
para
durandom
PARA method for organizing content by actionability (Projects, Areas, Resources, Archive).
SkillCFreshness: C★ 7Claude Code +9 - 0.539score
create-agent-skills
durandom
Expert guidance for creating, writing, building, and refining Claude Code Skills.
SkillCFreshness: C★ 7Claude Code +9 - 0.539score
create-subagents
durandom
Expert guidance for creating, building, and using Claude Code subagents and the Task tool.
SkillCFreshness: C★ 7Claude Code +9 - 0.539score
recipes
durandom
Reusable development patterns and guides for AI-assisted workflows.
SkillCFreshness: C★ 7Claude Code +9 - 0.539score
skill-architect
durandom
Design, audit, and improve Claude Code skills (SKILL.md files).
SkillCFreshness: C★ 7Claude Code
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get code-mapping running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
code-mapping skill. Agent Mart. https://agentmart.dev/skills/durandom-code-mapping (last updated 2026-10-24)