Audit of FLOW.md against actual command implementations.
Date: 2026-01-11 Version: v2.33.0-beta.2
FLOW.md says: Spawns 3 parallel research agents Implementation: ✅ CORRECT
- Task repo-research-analyst(feature_description)
- Task best-practices-researcher(feature_description)
- Task framework-docs-researcher(feature_description)FLOW.md says: Writes to .claude/plans/
Implementation: ✅ CORRECT
Write the plan to `.claude/plans/<issue_title>.md`FLOW.md says: Presents next-step options via AskUserQuestion Implementation: ✅ CORRECT
After writing the plan file, use the **AskUserQuestion tool** to present these options:
- /deepen-plan
- /plan_review
- /workflows:workFLOW.md says: Spawns 10-15 parallel agents Implementation: ✅ CORRECT
Run ALL or most of these agents at the same time:
1. Task senior-code-reviewer(PR content)
2. Task framework-conventions-reviewer(PR title)
3-13. [10+ more agents]
Plus conditional agents (data-migration-expert, deployment-verification-agent, etc.)FLOW.md says: Uses file-todos skill
Implementation: ✅ CORRECT
This command uses the `file-todos` skill to create finding files in `.claude/todos/`FLOW.md says: Writes to .claude/todos/
Implementation: ✅ CORRECT
ALL findings MUST be stored in the .claude/todos/ directory using the file-todos skillFLOW.md says: Spawns 40+ agents Implementation: ✅ CORRECT
### 5. Discover and Run ALL Review Agents
Dynamically discover every available agent and run them ALL against the plan.
40+ parallel agents is fine. Use everything available.
# Discover from:
- Project .claude/agents/
- User's ~/.claude/agents/
- compound-engineering plugin agents
- ALL other installed pluginsFLOW.md says: One agent per section + reviewers Implementation: ✅ CORRECT
- Skill discovery sub-agents (10-30 per matched skill)
- Learning discovery sub-agents (from .claude/solutions/)
- Per-section research agents (Explore agent type)
- ALL review agents from all sources (40+)FLOW.md says: Triages findings from .claude/todos/
Implementation: ✅ CORRECT
- First set the /model to Haiku
- Then read all pending todos in the .claude/todos/ directoryFLOW.md says: Uses file-todos skill
Implementation: ✅ CORRECT
allowed-tools: Skill(file-todos)FLOW.md says: Creates TodoWrite tracking list Implementation: ✅ CORRECT
Use TodoWrite to track progress through all findings in the triage session:
1. Finding #1: [title] - decision: pending - pending
2. Finding #2: [title] - decision: pending - pendingFLOW.md says: 5-phase systematic analysis Implementation: ✅ CORRECT
Use TodoWrite to track the 5-phase error analysis workflow:
1. Parse error information and extract key details - pending
2. Categorize error type and severity - pending
3. Perform root cause analysis - pending
4. Generate fix recommendations (hotfix + long-term) - pending
5. Create action items and todos - pendingFLOW.md says: Uses error-analysis skill
Implementation: ✅ CORRECT
allowed-tools: Skill(error-analysis)FLOW.md says: Spawns 5 parallel documentation agents
1. Context Analyzer (agent)
2. Solution Extractor (agent)
3. Related Docs Finder (agent)
4. Prevention Strategist (agent)
5. Test Generator (agent)
Implementation:
- Routes to
compound-docsskill - Skill uses 7-step sequential process
- Uses tools (Read, Write, Bash, Grep), not parallel agents
- The "5 parallel agents" are conceptual phases in the documentation
Accuracy: The FLOW.md diagram shows parallel agents, but the implementation uses a skill with sequential steps. The outcome is the same (documents to .claude/solutions/), but the mechanism differs.
Fix needed: Update FLOW.md to show compound-docs skill execution rather than parallel agent spawning, OR update command to actually spawn parallel agents.
FLOW.md says: Runs 4 commands in parallel
/update-deps /scan-debt /health-report /analyze-coverage
Implementation:
### Phase 1: Parallel Analysis
Run these analyses concurrently:
1. 🔄 Dependency audit (dependency-auditor agent)
2. 🔄 Technical debt scan (debt-tracker agent)
3. 🔄 Coverage analysis (test-coverage-analyzer agent)Issues:
- Command mentions "agents" (dependency-auditor, debt-tracker, test-coverage-analyzer)
- But in "Related" section, lists commands (
/update-deps,/scan-debt,/analyze-coverage) - No explicit Task invocations found
- Looks like example output rather than actual implementation instructions
Accuracy: FLOW.md shows 4 commands running in parallel. Implementation documentation mentions 3 agents but doesn't have clear Task invocation code. Needs clarification.
Fix needed:
- EITHER: Update command to explicitly spawn agents in parallel
- OR: Update command to explicitly run 4 commands in parallel
- OR: Update FLOW.md to match actual implementation
FLOW.md says: Uses TodoWrite for task tracking Implementation: ✅ CORRECT
- Use TodoWrite ONLY in Phase 1, Step 3 ("Create Todo List") to track implementation tasksFLOW.md says: Can use specialized commands during work Implementation: ✅ IMPLIED BUT NOT EXPLICIT
- FLOW.md shows using
/find-code,/trace-impact,/debug,/refactorduring work phase - Command doesn't explicitly list these, but doesn't prohibit them either
- This is accurate guidance based on plugin design
| Category | Matches | Partial | Total | Accuracy |
|---|---|---|---|---|
| Workflow Commands (5) | 4 | 1 | 5 | 80% |
| Specialized Workflows (4) | 3 | 1 | 4 | 75% |
| Overall | 7 | 2 | 9 | 78% |
Option A: Update command to spawn actual parallel agents
### Main Tasks
Spawn these agents in PARALLEL:
1. Task general-purpose: "Analyze conversation context to extract: problem type, component, symptoms. Return YAML frontmatter skeleton."
2. Task general-purpose: "Extract solution from conversation: root cause, working fix, code examples. Return solution content block."
3. Task general-purpose: "Search .claude/solutions/ for related docs. Find cross-references and related issues. Return links."
4. Task general-purpose: "Develop prevention strategies and test cases. Return prevention content."
5. Task general-purpose: "Assemble complete markdown file with YAML frontmatter. Write to .claude/solutions/"Option B: Update FLOW.md to show skill execution
/workflows:compound
│
▼
Uses skill: compound-docs
│
7-step sequential process:
1. Detect confirmation
2. Gather context (Read conversation)
3. Check existing docs (Grep)
4. Categorize problem
5. Generate YAML frontmatter
6. Write documentation (Write)
7. Cross-reference (link to related)
│
▼
Writes: .claude/solutions/
Recommendation: Option A (update command) - Better performance with parallel execution
Option A: Spawn agents explicitly
### Phase 1: Parallel Analysis
Launch ALL these agents in PARALLEL:
Task dependency-auditor: "Audit dependencies for security vulnerabilities and outdated packages"
Task debt-tracker: "Scan codebase for technical debt with scoring"
Task test-coverage-analyzer: "Analyze test coverage and identify gaps"
Task codebase-health: "Generate comprehensive health report"Option B: Run commands explicitly
### Phase 1: Parallel Maintenance Tasks
Run these commands in PARALLEL using background execution:
Bash: /update-deps --check-only &
Bash: /scan-debt &
Bash: /analyze-coverage &
Bash: /health-report &
Wait for all to complete, then synthesize results.Recommendation: Check if these agents exist. If yes, use Option A. If no, use Option B with actual commands.
What's working well:
- Core workflow commands (
/workflows:plan,/workflows:review,/workflows:work) accurately implement parallel agent spawning /deepen-plancorrectly spawns 40+ agents as documented/triageand/debugmatch their documented workflows- File organization (
.claude/plans/,.claude/todos/,.claude/solutions/) is consistent
What needs fixing:
/workflows:compound- Either update command to spawn parallel agents OR update FLOW.md to show skill execution/workflows:maintain- Clarify whether it spawns agents or runs commands, then update command/FLOW.md accordingly
Impact:
- Users get 78% accurate understanding of workflow from FLOW.md
- The 22% inaccuracy is in implementation details (parallel agents vs. skills/commands), not in outcomes
- All documented file locations and next-step options are correct
Action items:
- Review
/workflows:compoundimplementation - spawn actual parallel agents for better performance - Review
/workflows:maintainimplementation - explicitly invoke agents or commands in parallel - Update FLOW.md if choosing to keep current implementations (though parallel agents are better)