mcpbeat

Init Deep

code-yeongyu/oh-my-openagent-init-deep

(builtin) Initialize hierarchical AGENTS.md knowledge base

3k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
67138
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/code-yeongyu/oh-my-openagent --skill init-deep

What it tells the agent to use

found in the instruction text
Read reads your files
Write writes files
Edit edits files in place
Task spawns other agents

The instruction itself

20 sections, as written by the author

/init-deep

Generate hierarchical AGENTS.md files. Root + complexity-scored subdirectories.

Usage

/init-deep                      # Update mode: modify existing + create new where warranted
/init-deep --create-new         # Read existing → remove all → regenerate from scratch
/init-deep --max-depth=2        # Limit directory depth (default: 3)

Workflow (High-Level)

  • Discovery + Analysis (concurrent)
  • Fire background explore agents immediately
  • Main session: bash structure + LSP/codegraph code map + read existing AGENTS.md
  • Score & Decide - Determine AGENTS.md locations from merged findings
  • Generate - Root first, then subdirs in parallel
  • Review - Deduplicate, trim, validate

<critical>

TodoWrite ALL phases. Mark in_progress → completed in real-time.

TodoWrite([
  { id: "discovery", content: "Fire explore agents + LSP/codegraph map + read existing", status: "pending", priority: "high" },
  { id: "scoring", content: "Score directories, determine locations", status: "pending", priority: "high" },
  { id: "generate", content: "Generate AGENTS.md files (root + subdirs)", status: "pending", priority: "high" },
  { id: "review", content: "Deduplicate, validate, trim", status: "pending", priority: "medium" }
])

</critical>


Phase 1: Discovery + Analysis (Concurrent)

Mark "discovery" as in_progress.

Fire Background Explore Agents IMMEDIATELY

Don't wait-these run async while main session works. Equip every agent with the code graph: any task touching structure, entry points, dependencies, or hotspots MUST query codegraph_* (explore/search/callers/callees/impact) and lsp_symbols when present, and ground its claims in that data instead of guessing from conventions. Richer real-graph context per agent = a more accurate project map.

// Fire all at once, collect results later
task(subagent_type="explore", load_skills=[], description="Explore project structure", run_in_background=true, prompt="Project structure: map real layout via codegraph_explore/codegraph_files → REPORT deviations from standard patterns")
task(subagent_type="explore", load_skills=[], description="Find entry points", run_in_background=true, prompt="Entry points: FIND main files, trace reach via codegraph_callees + lsp_symbols → REPORT non-standard organization")
task(subagent_type="explore", load_skills=[], description="Find conventions", run_in_background=true, prompt="Conventions: FIND config files (.eslintrc, pyproject.toml, .editorconfig) → REPORT project-specific rules")
task(subagent_type="explore", load_skills=[], description="Find anti-patterns", run_in_background=true, prompt="Anti-patterns: FIND 'DO NOT', 'NEVER', 'ALWAYS', 'DEPRECATED' comments → LIST forbidden patterns")
task(subagent_type="explore", load_skills=[], description="Explore build/CI", run_in_background=true, prompt="Build/CI: FIND .github/workflows, Makefile → REPORT non-standard patterns")
task(subagent_type="explore", load_skills=[], description="Find test patterns", run_in_background=true, prompt="Test patterns: FIND test configs/structure; codegraph_callers on core modules to see what is covered → REPORT unique conventions")

<dynamic-agents>

DYNAMIC AGENT SPAWNING: After bash analysis, spawn ADDITIONAL explore agents based on project scale:

| Factor | Threshold | Additional Agents |

|--------|-----------|-------------------|

| Total files | >100 | +1 per 100 files |

| Total lines | >10k | +1 per 10k lines |

| Directory depth | ≥4 | +2 for deep exploration |

| Large files (>500 lines) | >10 files | +1 for complexity hotspots |

| Monorepo | detected | +1 per package/workspace |

| Multiple languages | >1 | +1 per language |

# Measure project scale first
total_files=$(find . -type f -not -path '*/node_modules/*' -not -path '*/.git/*' | wc -l)
total_lines=$(find . -type f \\( -name "*.ts" -o -name "*.py" -o -name "*.go" \\) -not -path '*/node_modules/*' -exec wc -l {} + 2>/dev/null | tail -1 | awk '{print $1}')
large_files=$(find . -type f \\( -name "*.ts" -o -name "*.py" \\) -not -path '*/node_modules/*' -exec wc -l {} + 2>/dev/null | awk '$1 > 500 {count++} END {print count+0}')
max_depth=$(find . -type d -not -path '*/node_modules/*' -not -path '*/.git/*' | awk -F/ '{print NF}' | sort -rn | head -1)

Example spawning:

// 500 files, 50k lines, depth 6, 15 large files → spawn 5+5+2+1 = 13 additional agents
task(subagent_type="explore", load_skills=[], description="Analyze large files", run_in_background=true, prompt="Large file analysis: FIND files >500 lines, REPORT complexity hotspots")
task(subagent_type="explore", load_skills=[], description="Explore deep modules", run_in_background=true, prompt="Deep modules at depth 4+: FIND hidden patterns, internal conventions")
task(subagent_type="explore", load_skills=[], description="Find shared utilities", run_in_background=true, prompt="Cross-cutting concerns: FIND shared utilities across directories")
// ... more based on calculation

</dynamic-agents>

Main Session: Concurrent Analysis

While background agents run, main session does:

1. Bash Structural Analysis
# Directory depth + file counts
find . -type d -not -path '*/\\.*' -not -path '*/node_modules/*' -not -path '*/venv/*' -not -path '*/dist/*' -not -path '*/build/*' | awk -F/ '{print NF-1}' | sort -n | uniq -c

# Files per directory (top 30)
find . -type f -not -path '*/\\.*' -not -path '*/node_modules/*' | sed 's|/[^/]*$||' | sort | uniq -c | sort -rn | head -30

# Code concentration by extension
find . -type f \\( -name "*.py" -o -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.go" -o -name "*.rs" \\) -not -path '*/node_modules/*' | sed 's|/[^/]*$||' | sort | uniq -c | sort -rn | head -20

# Existing AGENTS.md / CLAUDE.md
find . -type f \\( -name "AGENTS.md" -o -name "CLAUDE.md" \\) -not -path '*/node_modules/*' 2>/dev/null
2. Read Existing AGENTS.md
For each existing file found:
  Read(filePath=file)
  Extract: key insights, conventions, anti-patterns
  Store in EXISTING_AGENTS map

If --create-new: Read all existing first (preserve context) → then delete all → regenerate.

3. Code Map - drive LSP AND codegraph (do NOT skip)

Highest-signal source for the CODE MAP and the Symbol/Export/Reference scoring rows. Complementary, not alternatives - run BOTH when present, alongside the explore agents.

LSP - check lsp_status; model-facing names are lsp_status/lsp_symbols/lsp_find_references/lsp_goto_definition (some harnesses drop the lsp_ prefix):

  • lsp_symbols scope="document" on each entry point -> file outline.
  • lsp_symbols scope="workspace", query by kind (class/interface/function) -> symbol inventory.
  • lsp_find_references on top exports (line/character from the symbols result) -> reference centrality.

codegraph - when codegraph_* tools exist (check codegraph_status); a first-class peer to LSP, NOT a last resort:

  • codegraph_explore -> overview; codegraph_callers/codegraph_callees/codegraph_impact -> centrality + blast radius for the scoring matrix; codegraph_search/codegraph_files -> symbol/file inventory.

Only if NEITHER exists: explore agents + the ast-grep skill (sg), and mark centrality unmeasured in the CODE MAP.

Collect Background Results

// After main session analysis done, collect all task results
for each background task ID (`bg_...`): background_output(task_id="bg_...")

Merge: bash + LSP/codegraph + existing + explore findings. Mark "discovery" as completed.


Phase 2: Scoring & Location Decision

Mark "scoring" as in_progress.

Scoring Matrix

| Factor | Weight | High Threshold | Source |

|--------|--------|----------------|--------|

| File count | 3x | >20 | bash |

| Subdir count | 2x | >5 | bash |

| Code ratio | 2x | >70% | bash |

| Unique patterns | 1x | Has own config | explore |

| Module boundary | 2x | Has index.ts/__init__.py | bash |

| Symbol density | 2x | >30 symbols | LSP/cg |

| Export count | 2x | >10 exports | LSP/cg |

| Reference centrality | 3x | >20 refs | LSP/cg |

Decision Rules

| Score | Action |

|-------|--------|

| Root (.) | ALWAYS create |

| >15 | Create AGENTS.md |

| 8-15 | Create if distinct domain |

| <8 | Skip (parent covers) |

Output

AGENTS_LOCATIONS = [
  { path: ".", type: "root" },
  { path: "src/hooks", score: 18, reason: "high complexity" },
  { path: "src/api", score: 12, reason: "distinct domain" }
]

Mark "scoring" as completed.


Phase 3: Generate AGENTS.md

Mark "generate" as in_progress.

<critical>

File Writing Rule: If AGENTS.md already exists at the target path → use Edit tool. If it does NOT exist → use Write tool.

NEVER use Write to overwrite an existing file. ALWAYS check existence first via Read or discovery results.

</critical>

Root AGENTS.md (Full Treatment)

# PROJECT KNOWLEDGE BASE

**Generated:** {TIMESTAMP}
**Commit:** {SHORT_SHA}
**Branch:** {BRANCH}

## OVERVIEW
{1-2 sentences: what + core stack}

## STRUCTURE

{root}/

├── {dir}/ # {non-obvious purpose only}

└── {entry}


## WHERE TO LOOK
| Task | Location | Notes |
|------|----------|-------|

## CODE MAP
{From LSP/codegraph - skip only if neither exists or project <10 files}

| Symbol | Type | Location | Refs | Role |
|--------|------|----------|------|------|

## CONVENTIONS
{ONLY deviations from standard}

## ANTI-PATTERNS (THIS PROJECT)
{Explicitly forbidden here}

## UNIQUE STYLES
{Project-specific}

## COMMANDS

{dev/test/build}


## NOTES
{Gotchas}

Quality gates: 50-150 lines, no generic advice, no obvious info.

Subdirectory AGENTS.md (Parallel)

Launch writing tasks for each location:

for loc in AGENTS_LOCATIONS (except root):
  task(category="writing", load_skills=[], run_in_background=false, description="Generate AGENTS.md", prompt=`
    Generate AGENTS.md for: ${loc.path}
    - Reason: ${loc.reason}
    - 30-80 lines max
    - NEVER repeat parent content
    - Sections: OVERVIEW (1 line), STRUCTURE (if >5 subdirs), WHERE TO LOOK, CONVENTIONS (if different), ANTI-PATTERNS
  `)

Wait for all. Mark "generate" as completed.


Phase 4: Review & Deduplicate

Mark "review" as in_progress.

For each generated file:

  • Remove generic advice
  • Remove parent duplicates
  • Trim to size limits
  • Verify telegraphic style

Mark "review" as completed.


Final Report

=== init-deep Complete ===

Mode: {update | create-new}

Files:
  [OK] ./AGENTS.md (root, {N} lines)
  [OK] ./src/hooks/AGENTS.md ({N} lines)

Dirs Analyzed: {N}
AGENTS.md Created: {N}
AGENTS.md Updated: {N}

Hierarchy:
  ./AGENTS.md
  └── src/hooks/AGENTS.md

Anti-Patterns

  • Static agent count: MUST vary agents based on project size/depth
  • Sequential execution: MUST parallel (explore + LSP + codegraph concurrent)
  • Ignoring existing: ALWAYS read existing first, even with --create-new
  • Over-documenting: Not every dir needs AGENTS.md
  • Redundancy: Child never repeats parent
  • Generic content: Remove anything that applies to ALL projects
  • Verbose style: Telegraphic or die

How to use it

Copy the folder

Take code-yeongyu/oh-my-openagent-init-deep from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.