Files
Claude-Code-Workflow/.claude/commands/workflow/tools/context-gather.md
catlog22 920b179440 docs: 更新所有命令描述并重新生成索引文件
- 更新所有69个命令文件的description字段,基于实际功能重新生成详细描述
- 重新生成5个索引文件(all-commands, by-category, by-use-case, essential-commands, command-relationships)
- 移动analyze_commands.py到scripts/目录并完善功能
- 移除临时备份文件

命令描述改进示例:
- workflow:plan: 增加了工具和代理的详细说明(Gemini, action-planning-agent)
- cli:execute: 说明了YOLO权限和多种执行模式
- memory:update-related: 详细说明了批处理策略和工具回退链

索引文件改进:
- usage_scenario从2种扩展到10种(更精细分类)
- command-relationships覆盖所有69个命令
- 区分built-in(内置调用)和sequential(用户顺序执行)关系

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-06 15:11:31 +08:00

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10 KiB
Markdown

---
name: gather
description: Intelligently collect project context using context-search-agent based on task description, packages into standardized JSON
argument-hint: "--session WFS-session-id \"task description\""
examples:
- /workflow:tools:context-gather --session WFS-user-auth "Implement user authentication system"
- /workflow:tools:context-gather --session WFS-payment "Refactor payment module API"
- /workflow:tools:context-gather --session WFS-bugfix "Fix login validation error"
allowed-tools: Task(*), Read(*), Glob(*)
---
# Context Gather Command (/workflow:tools:context-gather)
## Overview
Orchestrator command that invokes `context-search-agent` to gather comprehensive project context for implementation planning. Generates standardized `context-package.json` with codebase analysis, dependencies, and conflict detection.
**Agent**: `context-search-agent` (`.claude/agents/context-search-agent.md`)
## Core Philosophy
- **Agent Delegation**: Delegate all discovery to `context-search-agent` for autonomous execution
- **Detection-First**: Check for existing context-package before executing
- **Plan Mode**: Full comprehensive analysis (vs lightweight brainstorm mode)
- **Standardized Output**: Generate `.workflow/{session}/.process/context-package.json`
## Execution Flow
### Step 1: Context-Package Detection
**Execute First** - Check if valid package already exists:
```javascript
const contextPackagePath = `.workflow/${session_id}/.process/context-package.json`;
if (file_exists(contextPackagePath)) {
const existing = Read(contextPackagePath);
// Validate package belongs to current session
if (existing?.metadata?.session_id === session_id) {
console.log("✅ Valid context-package found for session:", session_id);
console.log("📊 Stats:", existing.statistics);
console.log("⚠️ Conflict Risk:", existing.conflict_detection.risk_level);
return existing; // Skip execution, return existing
} else {
console.warn("⚠️ Invalid session_id in existing package, re-generating...");
}
}
```
### Step 2: Invoke Context-Search Agent
**Only execute if Step 1 finds no valid package**
```javascript
Task(
subagent_type="context-search-agent",
description="Gather comprehensive context for plan",
prompt=`
You are executing as context-search-agent (.claude/agents/context-search-agent.md).
## Execution Mode
**PLAN MODE** (Comprehensive) - Full Phase 1-3 execution
## Session Information
- **Session ID**: ${session_id}
- **Task Description**: ${task_description}
- **Output Path**: .workflow/${session_id}/.process/context-package.json
## Mission
Execute complete context-search-agent workflow for implementation planning:
### Phase 1: Initialization & Pre-Analysis
1. **Detection**: Check for existing context-package (early exit if valid)
2. **Foundation**: Initialize code-index, get project structure, load docs
3. **Analysis**: Extract keywords, determine scope, classify complexity
### Phase 2: Multi-Source Context Discovery
Execute all 4 discovery tracks:
- **Track 1**: Historical archive analysis (query manifest.json for lessons learned)
- **Track 2**: Reference documentation (CLAUDE.md, architecture docs)
- **Track 3**: Web examples (use Exa MCP for unfamiliar tech/APIs)
- **Track 4**: Codebase analysis (5-layer discovery: files, content, patterns, deps, config/tests)
### Phase 3: Synthesis, Assessment & Packaging
1. Apply relevance scoring and build dependency graph
2. Synthesize 4-source data (archive > docs > code > web)
3. Integrate brainstorm artifacts (if .brainstorming/ exists, read content)
4. Perform conflict detection with risk assessment
5. **Inject historical conflicts** from archive analysis into conflict_detection
6. Generate and validate context-package.json
## Output Requirements
Complete context-package.json with:
- **metadata**: task_description, keywords, complexity, tech_stack, session_id
- **project_context**: architecture_patterns, coding_conventions, tech_stack
- **assets**: {documentation[], source_code[], config[], tests[]} with relevance scores
- **dependencies**: {internal[], external[]} with dependency graph
- **brainstorm_artifacts**: {guidance_specification, role_analyses[], synthesis_output} with content
- **conflict_detection**: {risk_level, risk_factors, affected_modules[], mitigation_strategy, historical_conflicts[]}
## Quality Validation
Before completion verify:
- [ ] Valid JSON format with all required fields
- [ ] File relevance accuracy >80%
- [ ] Dependency graph complete (max 2 transitive levels)
- [ ] Conflict risk level calculated correctly
- [ ] No sensitive data exposed
- [ ] Total files ≤50 (prioritize high-relevance)
Execute autonomously following agent documentation.
Report completion with statistics.
`
)
```
### Step 3: Output Verification
After agent completes, verify output:
```javascript
// Verify file was created
const outputPath = `.workflow/${session_id}/.process/context-package.json`;
if (!file_exists(outputPath)) {
throw new Error("❌ Agent failed to generate context-package.json");
}
```
## Parameter Reference
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `--session` | string | ✅ | Workflow session ID (e.g., WFS-user-auth) |
| `task_description` | string | ✅ | Detailed task description for context extraction |
## Output Schema
Refer to `context-search-agent.md` Phase 3.7 for complete `context-package.json` schema.
**Key Sections**:
- **metadata**: Session info, keywords, complexity, tech stack
- **project_context**: Architecture patterns, conventions, tech stack
- **assets**: Categorized files with relevance scores (documentation, source_code, config, tests)
- **dependencies**: Internal and external dependency graphs
- **brainstorm_artifacts**: Brainstorm documents with full content (if exists)
- **conflict_detection**: Risk assessment with mitigation strategies and historical conflicts
## Historical Archive Analysis
### Track 1: Query Archive Manifest
The context-search-agent MUST perform historical archive analysis as Track 1 in Phase 2:
**Step 1: Check for Archive Manifest**
```bash
# Check if archive manifest exists
if [[ -f .workflow/.archives/manifest.json ]]; then
# Manifest available for querying
fi
```
**Step 2: Extract Task Keywords**
```javascript
// From current task description, extract key entities and operations
const keywords = extractKeywords(task_description);
// Examples: ["User", "model", "authentication", "JWT", "reporting"]
```
**Step 3: Search Archive for Relevant Sessions**
```javascript
// Query manifest for sessions with matching tags or descriptions
const relevantArchives = archives.filter(archive => {
return archive.tags.some(tag => keywords.includes(tag)) ||
keywords.some(kw => archive.description.toLowerCase().includes(kw.toLowerCase()));
});
```
**Step 4: Extract Watch Patterns**
```javascript
// For each relevant archive, check watch_patterns for applicability
const historicalConflicts = [];
relevantArchives.forEach(archive => {
archive.lessons.watch_patterns?.forEach(pattern => {
// Check if pattern trigger matches current task
if (isPatternRelevant(pattern.pattern, task_description)) {
historicalConflicts.push({
source_session: archive.session_id,
pattern: pattern.pattern,
action: pattern.action,
files_to_check: pattern.related_files,
archived_at: archive.archived_at
});
}
});
});
```
**Step 5: Inject into Context Package**
```json
{
"conflict_detection": {
"risk_level": "medium",
"risk_factors": ["..."],
"affected_modules": ["..."],
"mitigation_strategy": "...",
"historical_conflicts": [
{
"source_session": "WFS-auth-feature",
"pattern": "When modifying User model",
"action": "Check reporting-service and auditing-service dependencies",
"files_to_check": ["src/models/User.ts", "src/services/reporting.ts"],
"archived_at": "2025-09-16T09:00:00Z"
}
]
}
}
```
### Risk Level Escalation
If `historical_conflicts` array is not empty, minimum risk level should be "medium":
```javascript
if (historicalConflicts.length > 0 && currentRisk === "low") {
conflict_detection.risk_level = "medium";
conflict_detection.risk_factors.push(
`${historicalConflicts.length} historical conflict pattern(s) detected from past sessions`
);
}
```
### Archive Query Algorithm
```markdown
1. IF .workflow/.archives/manifest.json does NOT exist → Skip Track 1, continue to Track 2
2. IF manifest exists:
a. Load manifest.json
b. Extract keywords from task_description (nouns, verbs, technical terms)
c. Filter archives where:
- ANY tag matches keywords (case-insensitive) OR
- description contains keywords (case-insensitive substring match)
d. For each relevant archive:
- Read lessons.watch_patterns array
- Check if pattern.pattern keywords overlap with task_description
- If relevant: Add to historical_conflicts array
e. IF historical_conflicts.length > 0:
- Set risk_level = max(current_risk, "medium")
- Add to risk_factors
3. Continue to Track 2 (reference documentation)
```
## Usage Examples
### Basic Usage
```bash
/workflow:tools:context-gather --session WFS-auth-feature "Implement JWT authentication with refresh tokens"
```
## Success Criteria
- ✅ Valid context-package.json generated in `.workflow/{session}/.process/`
- ✅ Contains >80% relevant files based on task keywords
- ✅ Execution completes within 2 minutes
- ✅ All required schema fields present and valid
- ✅ Conflict risk accurately assessed
- ✅ Agent reports completion with statistics
## Error Handling
| Error | Cause | Resolution |
|-------|-------|------------|
| Package validation failed | Invalid session_id in existing package | Re-run agent to regenerate |
| Agent execution timeout | Large codebase or slow MCP | Increase timeout, check code-index status |
| Missing required fields | Agent incomplete execution | Check agent logs, verify schema compliance |
| File count exceeds limit | Too many relevant files | Agent should auto-prioritize top 50 by relevance |
## Notes
- **Detection-first**: Always check for existing package before invoking agent
- **Agent autonomy**: Agent handles all discovery logic per `.claude/agents/context-search-agent.md`
- **No redundancy**: This command is a thin orchestrator, all logic in agent
- **Plan-specific**: Use this for implementation planning; brainstorm mode uses direct agent call