Claude-Code-Workflow/.claude/commands/memory/update-full.md

name, description, argument-hint

name	description	argument-hint
update-full	Update all CLAUDE.md files using layer-based execution (Layer 3→1) with batched agents (4 modules/agent) and gemini→qwen→codex fallback, <20 modules uses direct parallel	[--tool gemini|qwen|codex] [--path <directory>]

Full Documentation Update (/memory:update-full)

Overview

Orchestrates project-wide CLAUDE.md updates using batched agent execution with automatic tool fallback and 3-layer architecture support.

Parameters:

• --tool <gemini|qwen|codex>: Primary tool (default: gemini)
• --path <directory>: Target specific directory (default: entire project)

Execution Flow: Discovery → Plan Presentation → Execution → Safety Verification

3-Layer Architecture & Auto-Strategy Selection

Layer Definition & Strategy Assignment

Layer	Depth	Strategy	Purpose	Context Pattern
Layer 3 (Deepest)	≥3	multi-layer	Handle unstructured files, generate docs for all subdirectories	@**/* (all files)
Layer 2 (Middle)	1-2	single-layer	Aggregate from children + current code	@*/CLAUDE.md @*.{ts,tsx,js,...}
Layer 1 (Top)	0	single-layer	Aggregate from children + current code	@*/CLAUDE.md @*.{ts,tsx,js,...}

Update Direction: Layer 3 → Layer 2 → Layer 1 (bottom-up dependency flow)

Strategy Auto-Selection: Strategies are automatically determined by directory depth - no user configuration needed.

Strategy Details

Multi-Layer Strategy (Layer 3 Only)

• Use Case: Deepest directories with unstructured file layouts
• Behavior: Generates CLAUDE.md for current directory AND each subdirectory containing files
• Context: All files in current directory tree (@**/*)
• Benefits: Creates foundation documentation for upper layers to reference

Single-Layer Strategy (Layers 1-2)

• Use Case: Upper layers that aggregate from existing documentation
• Behavior: Generates CLAUDE.md only for current directory
• Context: Direct children CLAUDE.md files + current directory code files
• Benefits: Minimal context consumption, clear layer separation

Example Flow

src/auth/handlers/ (depth 3) → MULTI-LAYER STRATEGY
  CONTEXT: @**/* (all files in handlers/ and subdirs)
  GENERATES: ./CLAUDE.md + CLAUDE.md in each subdir with files
  ↓
src/auth/ (depth 2) → SINGLE-LAYER STRATEGY
  CONTEXT: @*/CLAUDE.md @*.ts (handlers/CLAUDE.md + current code)
  GENERATES: ./CLAUDE.md only
  ↓
src/ (depth 1) → SINGLE-LAYER STRATEGY
  CONTEXT: @*/CLAUDE.md (auth/CLAUDE.md, utils/CLAUDE.md)
  GENERATES: ./CLAUDE.md only
  ↓
./ (depth 0) → SINGLE-LAYER STRATEGY
  CONTEXT: @*/CLAUDE.md (src/CLAUDE.md, tests/CLAUDE.md)
  GENERATES: ./CLAUDE.md only

Core Execution Rules

1. Analyze First: Git cache + module discovery before updates
2. Wait for Approval: Present plan, no execution without user confirmation
3. Execution Strategy:
   • <20 modules: Direct parallel execution (max 4 concurrent per layer)
   • ≥20 modules: Agent batch processing (4 modules/agent, 73% overhead reduction)
4. Tool Fallback: Auto-retry with fallback tools on failure
5. Layer Sequential: Process layers 3→2→1 (bottom-up), parallel batches within layer
6. Safety Check: Verify only CLAUDE.md files modified
7. Layer-based Grouping: Group modules by LAYER (not depth) for execution

Tool Fallback Hierarchy

--tool gemini  →  [gemini, qwen, codex]  // default
--tool qwen    →  [qwen, gemini, codex]
--tool codex   →  [codex, gemini, qwen]

Trigger: Non-zero exit code from update script

Tool	Best For	Fallback To
gemini	Documentation, patterns	qwen → codex
qwen	Architecture, system design	gemini → codex
codex	Implementation, code quality	gemini → qwen

Execution Phases

Phase 1: Discovery & Analysis

# Cache git changes
bash(git add -A 2>/dev/null || true)

# Get module structure
bash(~/.claude/scripts/get_modules_by_depth.sh list)
# OR with --path
bash(cd <target-path> && ~/.claude/scripts/get_modules_by_depth.sh list)

Parse output depth:N|path:<PATH>|... to extract module paths and count.

Smart filter: Auto-detect and skip tests/build/config/docs based on project tech stack.

Phase 2: Plan Presentation

For <20 modules:

Update Plan:
  Tool: gemini (fallback: qwen → codex)
  Total: 7 modules
  Execution: Direct parallel (< 20 modules threshold)

  Will update:
  - ./core/interfaces (12 files) - depth 2 [Layer 2] - single-layer strategy
  - ./core (22 files) - depth 1 [Layer 2] - single-layer strategy
  - ./models (9 files) - depth 1 [Layer 2] - single-layer strategy
  - ./utils (12 files) - depth 1 [Layer 2] - single-layer strategy
  - . (5 files) - depth 0 [Layer 1] - single-layer strategy

  Context Strategy (Auto-Selected):
  - Layer 2 (depth 1-2): @*/CLAUDE.md + current code files
  - Layer 1 (depth 0): @*/CLAUDE.md + current code files

  Auto-skipped: ./tests, __pycache__, setup.py (15 paths)
  Execution order: Layer 2 → Layer 1
  Estimated time: ~5-10 minutes

  Confirm execution? (y/n)

For ≥20 modules:

Update Plan:
  Tool: gemini (fallback: qwen → codex)
  Total: 31 modules
  Execution: Agent batch processing (4 modules/agent)

  Will update:
  - ./src/features/auth (12 files) - depth 3 [Layer 3] - multi-layer strategy
  - ./.claude/commands/cli (6 files) - depth 3 [Layer 3] - multi-layer strategy
  - ./src/utils (8 files) - depth 2 [Layer 2] - single-layer strategy
  ...

  Context Strategy (Auto-Selected):
  - Layer 3 (depth ≥3): @**/* (all files)
  - Layer 2 (depth 1-2): @*/CLAUDE.md + current code files
  - Layer 1 (depth 0): @*/CLAUDE.md + current code files
  
  Auto-skipped: ./tests, __pycache__, setup.py (15 paths)
  Execution order: Layer 2 → Layer 1
  Estimated time: ~5-10 minutes

  Agent allocation (by LAYER):
  - Layer 3 (14 modules, depth ≥3): 4 agents [4, 4, 4, 2]
  - Layer 2 (15 modules, depth 1-2): 4 agents [4, 4, 4, 3]
  - Layer 1 (2 modules, depth 0): 1 agent [2]

  Estimated time: ~15-25 minutes

  Confirm execution? (y/n)

Phase 3A: Direct Execution (<20 modules)

Strategy: Parallel execution within layer (max 4 concurrent), no agent overhead.

// Group modules by LAYER (not depth)
let modules_by_layer = group_by_layer(module_list);
let tool_order = construct_tool_order(primary_tool);

// Process by LAYER (3 → 2 → 1), not by depth
for (let layer of [3, 2, 1]) {
  if (modules_by_layer[layer].length === 0) continue;

  let batches = batch_modules(modules_by_layer[layer], 4);

  for (let batch of batches) {
    let parallel_tasks = batch.map(module => {
      return async () => {
        // Auto-determine strategy based on depth
        let strategy = module.depth >= 3 ? "multi-layer" : "single-layer";

        for (let tool of tool_order) {
          let exit_code = bash(`cd ${module.path} && ~/.claude/scripts/update_module_claude.sh "${strategy}" "." "${tool}"`);
          if (exit_code === 0) {
            report(`✅ ${module.path} (Layer ${layer}) updated with ${tool}`);
            return true;
          }
        }
        report(`❌ FAILED: ${module.path} (Layer ${layer}) failed all tools`);
        return false;
      };
    });

    await Promise.all(parallel_tasks.map(task => task()));
  }
}

Phase 3B: Agent Batch Execution (≥20 modules)

Strategy: Batch modules into groups of 4, spawn memory-bridge agents per batch.

// Group modules by LAYER and batch within each layer
let modules_by_layer = group_by_layer(module_list);
let tool_order = construct_tool_order(primary_tool);

for (let layer of [3, 2, 1]) {
  if (modules_by_layer[layer].length === 0) continue;

  let batches = batch_modules(modules_by_layer[layer], 4);
  let worker_tasks = [];

  for (let batch of batches) {
    worker_tasks.push(
      Task(
        subagent_type="memory-bridge",
        description=`Update ${batch.length} modules in Layer ${layer}`,
        prompt=generate_batch_worker_prompt(batch, tool_order, layer)
      )
    );
  }

  await parallel_execute(worker_tasks);
}

Batch Worker Prompt Template:

PURPOSE: Update CLAUDE.md for assigned modules with tool fallback

TASK: Update documentation for assigned modules using specified strategies.

MODULES:
{{module_path_1}} (strategy: {{strategy_1}})
{{module_path_2}} (strategy: {{strategy_2}})
...

TOOLS (try in order): {{tool_1}}, {{tool_2}}, {{tool_3}}

EXECUTION SCRIPT: ~/.claude/scripts/update_module_claude.sh
  - Accepts strategy parameter: multi-layer | single-layer
  - Tool execution via direct CLI commands (gemini/qwen/codex)

EXECUTION FLOW (for each module):
  1. Tool fallback loop (exit on first success):
     for tool in {{tool_1}} {{tool_2}} {{tool_3}}; do
       bash(cd "{{module_path}}" && ~/.claude/scripts/update_module_claude.sh "{{strategy}}" "." "${tool}")
       exit_code=$?

       if [ $exit_code -eq 0 ]; then
         report "✅ {{module_path}} updated with $tool"
         break
       else
         report "⚠️  {{module_path}} failed with $tool, trying next..."
         continue
       fi
     done

  2. Handle complete failure (all tools failed):
     if [ $exit_code -ne 0 ]; then
       report "❌ FAILED: {{module_path}} - all tools exhausted"
       # Continue to next module (do not abort batch)
     fi

FAILURE HANDLING:
  - Module-level isolation: One module's failure does not affect others
  - Exit code detection: Non-zero exit code triggers next tool
  - Exhaustion reporting: Log modules where all tools failed
  - Batch continuation: Always process remaining modules

REPORTING FORMAT:
  Per-module status:
    ✅ path/to/module updated with {tool}
    ⚠️  path/to/module failed with {tool}, trying next...
    ❌ FAILED: path/to/module - all tools exhausted

Phase 4: Safety Verification

# Check only CLAUDE.md modified
bash(git diff --cached --name-only | grep -v "CLAUDE.md" || echo "Only CLAUDE.md files modified")

# Display status
bash(git status --short)

Result Summary:

Update Summary:
  Total: 31 | Success: 29 | Failed: 2
  Tool usage: gemini: 25, qwen: 4, codex: 0
  Failed: path1, path2

Error Handling

Batch Worker: Tool fallback per module, batch isolation, clear status reporting Coordinator: Invalid path abort, user decline handling, safety check with auto-revert Fallback Triggers: Non-zero exit code, script timeout, unexpected output

Usage Examples

# Full project update (auto-strategy selection)
/memory:update-full

# Target specific directory
/memory:update-full --path .claude
/memory:update-full --path src/features/auth

# Use specific tool
/memory:update-full --tool qwen
/memory:update-full --path .claude --tool qwen

Key Advantages

• Efficiency: 30 modules → 8 agents (73% reduction from sequential)
• Resilience: 3-tier tool fallback per module
• Performance: Parallel batches, no concurrency limits
• Observability: Per-module tool usage, batch-level metrics
• Automation: Zero configuration - strategy auto-selected by directory depth