robertbarclayy/conducty/conducty-review
Claude Code and agent skill by robertbarclayy/conducty
- community
Checking that the SKILL.md file is still in the repository.
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]].
Install
npx vskill@latest install robertbarclayy/conducty/conducty-reviewSKILL.md
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:
- Check checkpoint evidence — if the prompt passed checkpoint, confirm the evidence is recorded
- If no checkpoint evidence: Run [[conducty-verify]] at the prompt's review level
- Check for unintended changes —
git diff/git status(Bash) in the prompt's directory. Any files changed that weren't in the expected outcome? - 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:
- Check Retries count
- If Retries < 3: invoke [[conducty-debug]] to determine leverage point, generate fix prompt
- If Retries >= 3: set to
blockedwith 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]]):
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:
Also prepend a row to [[Metrics]] (the accumulating note):
And prepend a per-prompt block to [[Prompt Log]] summarizing each prompt's outcome with verification evidence:
Step 7: Prepare Carry-Forward
For items carrying forward to the next plan, include carry-forward intelligence — not just "needs fix" but actionable context:
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
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/conducty-review/SKILL.md
Popularity
- Repository stars
- 213
- Repository forks
- 17
- 7-day trend score
- 27
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 14 May 2026, 5 months ago.
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