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Conducty review

Skill Sheshiyer/skill-clusters/skills/conducty-review

End-of-plan review sweep. Audits the plan's executed prompts, records verdicts with evidence, extracts failure patterns, computes velocity metrics, prepares carry-forward intelligence. Use when the user says "review", "audit", "review this plan", or at the end of a plan before [[conducty-improve]].From its SKILL.md

Install
npx -y skills add Sheshiyer/skill-clusters --skill conducty-review

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SKILL.md

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Conducty Review — End-of-Plan Audit

Systematically review all executed prompts from the active plan, verify results with evidence, extract failure patterns for the learning system, and prepare intelligent carry-forward for the next plan.

Workflow

Step 1: Load the Plan

Read the active plan note from the vault (Plans/Plan YYYY-MM-DD HHmm [Topic].md — see [[conducty-obsidian]]). If the user is reviewing a different plan, ask which one and resolve the wikilink.

Parse the prompt queue to identify all prompts and their current status.

Step 2: Identify What Needs Review

  • Completed (from checkpoint): Already verified — confirm the checkpoint evidence is in the notes
  • Needs-fix with pending fixes: Check if the fix was applied
  • Unchecked: Not executed — skip, note as carry-forward
  • Already reviewed: Skip unless user requests re-review

Focus on prompts that completed since the last checkpoint or were fixed after checkpoint feedback.

Step 3: Review Each Prompt

For each prompt needing review:

  1. Check checkpoint evidence — if the prompt passed checkpoint, confirm the evidence is recorded
  2. If no checkpoint evidence: Run [[conducty-verify]] at the prompt's review level
  3. Check for unintended changesgit diff/git status (Bash) in the prompt's directory. Any files changed that weren't in the expected outcome?
  4. Confirm intent was met — does the actual change match the goal's design, not just the prompt's letter?

Step 4: Record Verdicts

For each prompt, record a verdict:

  • completed — changes verified, intent met, no issues
  • needs-fix — issues found, can be retried (increment Retries)
  • partial — some parts done, rest needs follow-up
  • failed — didn't produce useful results, needs rethinking
  • blocked — exceeded retries or needs manual intervention

Retry handling for needs-fix:

  1. Check Retries count
  2. If Retries < 3: invoke [[conducty-debug]] to determine leverage point, generate fix prompt
  3. If Retries >= 3: set to blocked with full history of attempts

Update each prompt's Status in the plan (Edit tool).

Step 5: Extract Failure Patterns

For every non-completed prompt, analyze the failure and prepend an entry to [[Failure Patterns]] (the accumulating note in the vault — see [[conducty-obsidian]]):

### {YYYY-MM-DD HHmm} — P{N}: {description}
- **Plan**: [[Plan YYYY-MM-DD HHmm Topic]]
- **Leverage point**: plan / prompt / code
- **Symptom**: {what the failure looked like}
- **Root cause**: {what was actually wrong}
- **Prompt smells present**: {which smells were visible in retrospect}
- **Prevention**: {what would prevent this in future prompts}

Look for patterns across failures:

  • Same prompt smell appearing in multiple failures? → template problem
  • Same project failing repeatedly? → context is stale or incomplete
  • Same complexity level failing? → calibration is off

Step 6: Compute Velocity Metrics

Calculate and record in the plan note's ## End-of-Plan Summary:

## End-of-Plan Summary

- **Total prompts**: N
- **Completed**: N ({%})
- **First-attempt passes**: N ({%})
- **Needs fix**: N
- **Partial**: N
- **Failed**: N
- **Blocked**: N
- **Total retries**: N
- **Average retries per fix**: N
- **Appetite used**: {actual time} / {budgeted time}
- **Carry forward**: {prompt IDs with context}

Also prepend a row to [[Metrics]] (the accumulating note):

### {YYYY-MM-DD HHmm} — [[Plan YYYY-MM-DD HHmm Topic]]
- Prompts: {total} | Completed: {n} | Pass rate: {%} | Retries: {n}
- Appetite: {used}/{budget}
- Blocked: {n}
- Top failure pattern: {brief}

And prepend a per-prompt block to [[Prompt Log]] summarizing each prompt's outcome with verification evidence:

### {YYYY-MM-DD HHmm} — [[Plan YYYY-MM-DD HHmm Topic]]

- **P1** ({verify-only/spec-review/full-review}): pass — `command` exit 0, 12/12 tests
- **P2** (spec-review): needs-fix — see [[Failure Patterns]] entry
- ...

Step 7: Prepare Carry-Forward

For items carrying forward to the next plan, include carry-forward intelligence — not just "needs fix" but actionable context:

## Carry Forward

- **P{N}**: {description}
  - **Status**: needs-fix / partial / blocked
  - **What happened**: {brief history of attempts}
  - **Root cause**: {if identified}
  - **Recommended approach**: {what to try differently}
  - **Leverage point**: {plan / prompt / code}

This is what [[conducty-plan]] reads in Step 1 of the next plan. Make it useful.

Step 8: Update Index + Hand Off to Improvement

Confirm the plan's wikilink is in [[Plans Index]]. Then:

After the review is complete, invoke [[conducty-improve]] for the per-plan learning loop. The review provides the data; the improvement kata extracts the lessons.

Principles

  • Evidence-based verdicts — every verdict references verification output, not impressions
  • Failure patterns are the most valuable output — they prevent future failures
  • Carry-forward intelligence saves the next plan — "needs fix" with context is 10x more useful than "needs fix" alone
  • Metrics track system health — pass rate trend tells you if the process is improving
  • Review feeds improvement — this step produces data, [[conducty-improve]] produces change

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