ravnhq

agent-init-deep

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0
# Install this skill:
npx skills add ravnhq/ai-toolkit --skill "agent-init-deep"

Install specific skill from multi-skill repository

# Description

>

# SKILL.md


name: agent-init-deep
description: >
Initialize or migrate to nested CLAUDE.md structure for progressive disclosure.
Claude auto-loads CLAUDE.md from any directory it enters, so nested files get
discovered automatically. Use when setting up a new project's agent config,
refactoring a bloated CLAUDE.md, or adding progressive disclosure to an existing repo.
Triggers on: '/agent-init-deep', 'setup progressive disclosure', 'refactor claude.md',
'split claude.md', 'claude.md is too big'.


Init Deep β€” Progressive Disclosure CLAUDE.md

Set up or migrate to a progressive disclosure CLAUDE.md structure using docs/agents/ for topic-specific guidance.

Context Model

Static (root CLAUDE.md)      β€” loaded every conversation, minimal, high-value
Semi-dynamic (docs/agents/)  β€” linked from root, loaded on-demand when relevant
Fully dynamic (skills)       β€” triggered by metadata match, loaded only when invoked

Root CLAUDE.md should be ~40-50 lines. Everything else belongs in docs/agents/ or skills.

Target Structure

CLAUDE.md                        # Root: identity, tech stack, key rules, workflow, links
docs/agents/
β”œβ”€β”€ tooling.md                   # e.g. package manager, linting, formatting, hooks
β”œβ”€β”€ commands.md                  # e.g. script execution, build filters, passing args
β”œβ”€β”€ guardrails.md                # e.g. data isolation, secrets, library docs
β”œβ”€β”€ definition-of-done.md       # e.g. coverage, lint, type-check, format requirements
└── [topic].md                   # Additional topic-specific files as needed

Workflow

Step 1: Detect State

Check for:
- CLAUDE.md exists?
- docs/agents/ exists?
- How many lines is CLAUDE.md?

If no CLAUDE.md β†’ Greenfield path
If CLAUDE.md exists β†’ Migration path

Step 2a: Greenfield Path

Ask the user:

  1. Project name and one-line description
  2. Tech stack (frontend, backend, database, etc.)
  3. Package manager (pnpm, npm, yarn, bun)
  4. Key guardrails (multi-tenancy, secrets, etc.)
  5. Definition of done (test coverage, lint, types, format)

Then generate:

Root CLAUDE.md with:

  • Project identity (1-2 lines)
  • Tech stack list
  • 3-5 key rules (only things the agent consistently gets wrong)
  • 4-stage workflow: Plan β†’ Execute β†’ Validate β†’ Commit
  • Links to docs/agents/ files with routing signals

docs/agents/ files based on answers. Common files include:

  • tooling.md β€” package manager rules, linting config, hooks
  • commands.md β€” how to run scripts, filter by package, pass args
  • guardrails.md β€” data isolation, secrets, library docs
  • definition-of-done.md β€” specific thresholds and commands

Adjust filenames and topics to match the project's actual needs.

Step 2b: Migration Path

  1. Read existing CLAUDE.md
  2. Classify each section:
  3. Root-worthy: identity, tech stack, key rules (3-5 max), workflow
  4. docs/agents/: detailed tooling, commands, guardrails, definition of done
  5. Skill-worthy: complex workflows, procedures, domain expertise
  6. Present proposed split to user:

```
ROOT CLAUDE.md:
- Project identity
- Tech stack
- Key rules: [list]
- Workflow (Plan/Execute/Validate/Commit)
- Links to docs/agents/

docs/agents/tooling.md:
- [extracted sections]

docs/agents/commands.md:
- [extracted sections]

... etc
```

  1. Ask user to confirm or adjust
  2. Create docs/agents/ files
  3. Rewrite root CLAUDE.md

Step 3: Post-Setup

After creating the structure:

  1. List all created files
  2. Show the root CLAUDE.md
  3. Suggest additional improvements:
  4. "Consider adding CLAUDE.md files in app subdirectories for app-specific rules"
  5. "Run /agent-add-rule to add new rules to the right location"
  6. "Run /skills to see available skills"

Root CLAUDE.md Template

# Project Context

[One-line project description]

## Tech Stack

- [list technologies]

## Key Rules

- [3-5 rules the agent consistently gets wrong without being told]

## Workflow

Every task follows four stages. Identify which stage you're in and follow its rules.

Plan β†’ Execute β†’ Validate β†’ Commit
↑                               |
└── fix β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

1. **Plan** β€” Understand the task, research code, design approach. Be concise; list unresolved questions.
2. **Execute** β€” Implement changes AND write tests together. No implementation is complete without tests.
3. **Validate** β€” ALL checks must pass with zero errors before moving on:
   - [list validation commands]
     If ANY check fails β†’ return to Execute, fix, re-validate. Pre-existing errors are NOT exempt.
4. **Commit** β€” Only after Validate passes completely. Never commit with failing checks.

## Detailed Guidance

When working on tasks involving these topics, read the linked doc:

- [Topic](docs/agents/file.md) β€” brief routing signal describing when to read this
- Run `/skills` to see available patterns and workflows

Classification Heuristic

When deciding what stays in root vs moves to docs/agents/:

Criteria Root docs/agents/
Agent gets wrong without it? YES maybe
Applies to every task? YES no
Under 2 lines? YES any length
Detailed reference? NO YES
Procedural/workflow? only the 4-stage loop YES

Principles

  • Minimal root: Every line in root costs tokens on every conversation. Only include what the agent consistently gets wrong without being told.
  • Routing signals: Each link description helps Claude decide whether to follow it. Be specific: "pnpm conventions, ESLint config" not just "tooling".
  • One level deep: All docs link from root. No cross-references between docs/agents/ files.
  • docs/agents/ not docs/: The agents/ subdirectory separates agent instructions from human documentation.

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.