修复内容:
- 将位置参数格式改为JSON格式: ccw tool exec tool '{"param":"value"}'
- 修复双引号字符串内的JSON引号转义问题
- 更新deprecated脚本的使用示例
受影响文件:
- commands/memory/update-full.md, docs-full-cli.md, docs-related-cli.md, update-related.md
- commands/workflow/ui-design/generate.md, import-from-code.md
- scripts/*.sh (9个deprecated脚本)
- skills/command-guide/reference/* (通过analyze_commands.py自动同步)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
11 KiB
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 (
@**/*)
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
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
- Analyze First: Git cache + module discovery before updates
- Wait for Approval: Present plan, no execution without user confirmation
- Execution Strategy:
- <20 modules: Direct parallel execution (max 4 concurrent per layer)
- ≥20 modules: Agent batch processing (4 modules/agent, 73% overhead reduction)
- Tool Fallback: Auto-retry with fallback tools on failure
- Layer Sequential: Process layers 3→2→1 (bottom-up), parallel batches within layer
- Safety Check: Verify only CLAUDE.md files modified
- 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({command: "git add -A 2>/dev/null || true", run_in_background: false});
// Get module structure
Bash({command: "ccw tool exec get_modules_by_depth '{\"format\":\"list\"}'", run_in_background: false});
// OR with --path
Bash({command: "cd <target-path> && ccw tool exec get_modules_by_depth '{\"format\":\"list\"}'", run_in_background: false});
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.
CRITICAL: All Bash commands use run_in_background: false for synchronous execution.
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 () => {
let strategy = module.depth >= 3 ? "multi-layer" : "single-layer";
for (let tool of tool_order) {
Bash({
command: `cd ${module.path} && ccw tool exec update_module_claude '{"strategy":"${strategy}","path":".","tool":"${tool}"}'`,
run_in_background: false
});
if (bash_result.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 ${layer}`,
prompt=generate_batch_worker_prompt(batch, tool_order, layer)
)
);
}
await parallel_execute(worker_tasks);
}
Batch Worker Prompt Template:
PURPOSE: Update CLAUDE.md for assigned modules with tool fallback
TASK: Update documentation for assigned modules using specified strategies.
MODULES:
{{module_path_1}} (strategy: {{strategy_1}})
{{module_path_2}} (strategy: {{strategy_2}})
...
TOOLS (try in order): {{tool_1}}, {{tool_2}}, {{tool_3}}
EXECUTION SCRIPT: ccw tool exec update_module_claude
- Accepts strategy parameter: multi-layer | single-layer
- Tool execution via direct CLI commands (gemini/qwen/codex)
EXECUTION FLOW (for each module):
1. Tool fallback loop (exit on first success):
for tool in {{tool_1}} {{tool_2}} {{tool_3}}; do
Bash({
command: `cd "{{module_path}}" && ccw tool exec update_module_claude '{"strategy":"{{strategy}}","path":".","tool":"${tool}"}'`,
run_in_background: false
})
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 files modified
Bash({command: 'git diff --cached --name-only | grep -v "CLAUDE.md" || echo "Only CLAUDE.md files modified"', run_in_background: false});
// Display status
Bash({command: "git status --short", run_in_background: false});
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