agentsclimarketplace

Review

Skill rvanbaalen/skills/plugins/pm/skills/review

On-demand progress analysis. Timeline health, estimation accuracy, blocker history, anti-pattern report, overrule analysis, and recommendations.From its SKILL.md

Install
npx -y skills add rvanbaalen/skills --skill review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.6 KB, 595 tokens by cl100k_base, as published. Nobody here has run it

Progress Review

Step 0 — Verify Context

If you do not already know the project data path, the plugin data root is ${CLAUDE_PLUGIN_DATA}. Follow the bootstrap procedure in ${CLAUDE_PLUGIN_ROOT}/references/context-bootstrap.md. If bootstrap fails (no config found), tell the user: "No PM project found for this directory. Run /pm to set up." and stop.

Read all state files before starting: milestones.md, tasks.md, blockers.md, estimates.md, overrules.md, and all journal/session files in sessions/ (use Glob to find them).

Present the review in these sections:

1. Timeline Health

  • For each milestone: progress (tasks done/total), days remaining, status.
  • Overall burn rate: are we ahead, on track, or behind?
  • Call out overdue milestones explicitly.

2. Estimation Accuracy

  • Read estimates.md. Calculate stats:
    • Overall average ratio (actual/estimated) — use User Est column for the user's raw accuracy
    • Per-category ratios (frontend, backend, bugfix, etc.)
    • Trend: getting more accurate or less?
    • Split view: "Your raw estimates average <X>x actual. With calibration applied: <Y>x."
  • Suggest calibration adjustments: "Your frontend estimates need a 2x buffer. Backend is accurate."
  • If fewer than 5 data points: "Still calibrating — not enough data for reliable patterns yet."

3. Blocker History

  • Active blockers and how long each has been open.
  • Resolved blockers and average resolution time.
  • Recurring themes: "You've been blocked by [X] 3 times."

4. Anti-Pattern Report

  • Scan journal files for ANTI_PATTERN entries.
  • Frequency of each pattern.
  • Trends: "Scope creep is increasing — flagged 4 times in the last 2 weeks, up from 1."

5. Overrule Analysis

  • Read overrules.md.
  • For tbd entries, propose outcome assessments and ask user to confirm.
  • Surface patterns: "You've overruled scope creep warnings 3 times — 2 of those cost deadline slippage."
  • Overall track record: "Your overrules have been [correct/costly] X% of the time."

6. Time Tracking Summary

  • Scan journals for TASK_START and TASK_DONE pairs.
  • Show time spent per task, per milestone, per day.
  • Identify tasks that took significantly longer than estimated.
  • Total hours tracked vs. total hours estimated.

7. Recommendations

Based on all the above, give concrete recommendations:

  • Scope cuts needed?
  • Deadlines to renegotiate?
  • Approach changes?
  • Anti-patterns to watch?

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,286. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.