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

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name, description, argument-hint
name description argument-hint
update-full Complete project-wide CLAUDE.md documentation update with agent-based parallel execution and tool fallback [--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 (gemini→qwen→codex).

Parameters:

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

Execution Flow:

  1. Discovery & Analysis → 2. Plan Presentation → 3. Batched Agent Execution → 4. Safety Verification

Core 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 depth, no agent overhead)
    • ≥20 modules: Agent batch processing (4 modules/agent, 73% overhead reduction)
  4. Tool Fallback: Auto-retry with fallback tools on failure
  5. Depth Sequential: Process depths N→0, parallel batches within depth (both modes)
  6. Safety Check: Verify only CLAUDE.md files modified

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

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 (Node.js/Python/Go/Rust/etc).

Phase 2: Plan Presentation

Present filtered plan:

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

  Will update:
  - ./core/interfaces (12 files) - depth 2
  - ./core (22 files) - depth 1
  - ./models (9 files) - depth 1
  - ./parametric (6 files) - depth 1
  - ./results (7 files) - depth 1
  - ./utils (12 files) - depth 1
  - . (5 files) - depth 0

  Auto-skipped (15 paths):
  - Tests: ./tests, **/*_test.py (8 paths)
  - Build: __pycache__, dist, *.egg-info (5 paths)
  - Config: setup.py, requirements.txt (2 paths)

  Execution order (by depth):
  1. Depth 2: ./core/interfaces
  2. Depth 1: ./core, ./models, ./parametric, ./results, ./utils
  3. Depth 0: .

  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)
  - ./.claude/commands/cli (6 files)
  - ./src/utils (8 files)
  ...

  Auto-skipped (45 paths):
  - Tests: ./tests, ./src/**/*.test.ts (18 paths)
  - Config: package.json, tsconfig.json, vite.config.ts (12 paths)
  - Build: ./dist, ./node_modules, ./.next (8 paths)
  - Docs: ./README.md, ./docs (5 paths)
  - Other: .git, .vscode, coverage (2 paths)

  Agent allocation:
  - Depth 5 (8 modules): 2 agents [4, 4]
  - Depth 4 (7 modules): 2 agents [4, 3]
  - Depth 3 (6 modules): 2 agents [3, 3]

  Estimated time: ~15-25 minutes

  Confirm execution? (y/n)

Decision logic:

  • User confirms "y": Proceed with execution
  • User declines "n": Abort, no changes
  • <20 modules: Direct execution (Phase 3A)
  • ≥20 modules: Agent batch execution (Phase 3B)

Phase 3A: Direct Execution (<20 modules)

Strategy: Parallel execution within depth (max 4 concurrent), no agent overhead, tool fallback per module.

let modules_by_depth = group_by_depth(module_list);
let tool_order = construct_tool_order(primary_tool);

for (let depth of sorted_depths.reverse()) {  // N → 0
  let modules = modules_by_depth[depth];
  let batches = batch_modules(modules, 4);  // Split into groups of 4

  for (let batch of batches) {
    // Execute batch in parallel (max 4 concurrent)
    let parallel_tasks = batch.map(module => {
      return async () => {
        let success = false;
        for (let tool of tool_order) {
          let exit_code = bash(cd ${module.path} && ~/.claude/scripts/update_module_claude.sh "." "${tool}");
          if (exit_code === 0) {
            report("${module.path} updated with ${tool}");
            success = true;
            break;
          }
        }
        if (!success) {
          report("FAILED: ${module.path} failed all tools");
        }
      };
    });

    await Promise.all(parallel_tasks.map(task => task()));  // Run batch in parallel
  }
}

Example execution (7 modules):

# Depth 2 (1 module)
bash(cd ./core/interfaces && ~/.claude/scripts/update_module_claude.sh "." "gemini")
# → Success with gemini

# Depth 1 (5 modules → 2 batches: [4, 1])
# Batch 1 (4 modules in parallel):
bash(cd ./core && ~/.claude/scripts/update_module_claude.sh "." "gemini") &
bash(cd ./models && ~/.claude/scripts/update_module_claude.sh "." "gemini") &
bash(cd ./parametric && ~/.claude/scripts/update_module_claude.sh "." "gemini") &
bash(cd ./results && ~/.claude/scripts/update_module_claude.sh "." "gemini") &
wait  # Wait for batch 1 to complete

# Batch 2 (1 module):
bash(cd ./utils && ~/.claude/scripts/update_module_claude.sh "." "gemini")
# → Success with gemini

# Depth 0 (1 module)
bash(cd . && ~/.claude/scripts/update_module_claude.sh "." "gemini")
# → Success with gemini

Benefits:

  • No agent startup overhead
  • Parallel execution within depth (max 4 concurrent)
  • Tool fallback still applies per module
  • Faster for small projects (<20 modules)
  • Same batching strategy as Phase 3B but without agent layer

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

Batching Strategy

// Batch modules into groups of 4
function batch_modules(modules, batch_size = 4) {
  let batches = [];
  for (let i = 0; i < modules.length; i += batch_size) {
    batches.push(modules.slice(i, i + batch_size));
  }
  return batches;
}
// Examples: 10→[4,4,2] | 8→[4,4] | 3→[3]

Coordinator Orchestration

let modules_by_depth = group_by_depth(module_list);
let tool_order = construct_tool_order(primary_tool);

for (let depth of sorted_depths.reverse()) {  // N → 0
  let batches = batch_modules(modules_by_depth[depth], 4);
  let worker_tasks = [];

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

  await parallel_execute(worker_tasks);  // Batches run in parallel
}

Batch Worker Prompt Template

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

TASK:
Update documentation for the following modules. For each module, try tools in order until success.

MODULES:
{{module_path_1}}
{{module_path_2}}
{{module_path_3}}
{{module_path_4}}

TOOLS (try in order):
1. {{tool_1}}
2. {{tool_2}}
3. {{tool_3}}

EXECUTION:
For each module above:
  1. cd "{{module_path}}"
  2. Try tool 1:
     bash(cd "{{module_path}}" && ~/.claude/scripts/update_module_claude.sh "." "{{tool_1}}")
     → Success: Report " {{module_path}} updated with {{tool_1}}", proceed to next module
     → Failure: Try tool 2
  3. Try tool 2:
     bash(cd "{{module_path}}" && ~/.claude/scripts/update_module_claude.sh "." "{{tool_2}}")
     → Success: Report " {{module_path}} updated with {{tool_2}}", proceed to next module
     → Failure: Try tool 3
  4. Try tool 3:
     bash(cd "{{module_path}}" && ~/.claude/scripts/update_module_claude.sh "." "{{tool_3}}")
     → Success: Report " {{module_path}} updated with {{tool_3}}", proceed to next module
     → Failure: Report "FAILED: {{module_path}} failed all tools", proceed to next module

REPORTING:
Report final summary with:
- Total processed: X modules
- Successful: Y modules
- Failed: Z modules
- Tool usage: {{tool_1}}:X, {{tool_2}}:Y, {{tool_3}}:Z
- Detailed results for each module

Example Execution

Depth 5 (8 modules → 2 batches):

Task(subagent_type="memory-bridge", batch=[mod1, mod2, mod3, mod4])  // Agent 1
Task(subagent_type="memory-bridge", batch=[mod5, mod6, mod7, mod8])  // Agent 2
// Both run in parallel

Benefits:

  • 8 modules → 2 agents (75% reduction)
  • Parallel batches, sequential within batch
  • Each module gets full fallback chain

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)

Aggregate results:

Update Summary:
  Total: 31 | Success: 29 | Failed: 2

  Tool usage:
  - gemini: 25 modules
  - qwen: 4 modules (fallback)
  - codex: 0 modules

  Failed: FAILED: path1, path2

Execution Summary

Module Count Threshold:

  • <20 modules: Coordinator executes Phase 3A (Direct Execution)
  • ≥20 modules: Coordinator executes Phase 3B (Agent Batch Execution)

Agent Hierarchy (for ≥20 modules):

  • Coordinator: Handles batch division, spawns worker agents per depth
  • Worker Agents: Each processes 4 modules with tool fallback

Error Handling

Batch Worker:

  • Tool fallback per module (auto-retry)
  • Batch isolation (failures don't propagate)
  • Clear per-module status reporting

Coordinator:

  • Invalid path: Abort with error
  • User decline: No execution
  • Safety check fail: Auto-revert staging
  • Partial failures: Continue execution, report failed modules

Fallback Triggers:

  • Non-zero exit code
  • Script timeout
  • Unexpected output

Tool Reference

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

Path Parameter Examples

# Full project update
/memory:update-full

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

# Combine with tool selection
/memory:update-full --path .claude --tool qwen

Key Advantages

Efficiency: 30 modules → 8 agents (73% reduction) Resilience: 3-tier fallback per module Performance: Parallel batches, no concurrency limits Observability: Per-module tool usage, batch-level metrics

Coordinator Checklist

  • Parse --tool (default: gemini) and --path (default: current dir)
  • Git cache + module discovery
  • Smart filter modules (auto-detect tech stack, skip tests/build/config/docs)
  • Construct tool fallback order
  • Present filtered plan with execution strategy (<20: direct, ≥20: agent batch)
  • Wait for y/n confirmation
  • Determine execution mode:
    • <20 modules: Direct execution (Phase 3A)
      • For each depth (N→0): Sequential module updates with tool fallback
    • ≥20 modules: Agent batch execution (Phase 3B)
      • For each depth (N→0): Batch modules (4 per batch), spawn batch workers in parallel
  • Wait for depth/batch completion
  • Aggregate results
  • Safety check (only CLAUDE.md modified)
  • Display git status + summary