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pm-claude-skills/exports/cursor/pm-delivery/retro-analysis/retro-analysis.mdc
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mohitagw15856 05b6d799f0 SkillCheck validator, Cursor exports, and per-agent installers (#27)
Three more learnings from alirezarezvani/claude-skills, applied:

1. SkillCheck validator (scripts/skillcheck.mjs) — validates every SKILL.md
   against the authoring standard (frontmatter, name/folder match, trigger +
   produces clauses, required headings) plus tier referential integrity.
   Errors fail CI; --strict fails on warnings too. New skillcheck.yml workflow
   and a SkillCheck status badge in the README. Current: 0 errors / 14 advisory
   warnings across 172 skills.

2. Cursor export platform — build-exports.mjs now generates
   exports/cursor/<bundle>/<skill>/<skill>.mdc rule files. The PLATFORMS
   registry now supports per-skill filenames (file as a function).

3. Per-agent installers — scripts/install.sh unifies install for
   claude/hermes/codex/openclaw/cursor (--link, --target, --dry-run, --list).
   Curl-able one-liners codex-install.sh, openclaw-install.sh, and
   cursor-install.sh clone the library and install in a single command.

README documents the one-line installs and Cursor exports; CHANGELOG and the
authoring standard updated.


Claude-Session: https://claude.ai/code/session_016JWn5jRD5tcEFKrubjQ6Px

Co-authored-by: Claude <noreply@anthropic.com>
2026-06-17 13:38:31 +01:00

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---
description: "Analyses sprint delivery data and produces a structured retrospective brief. Use when asked to run a retrospective, analyse sprint data, prepare a retro brief, or turn sprint metrics into discussion prompts. Produces a data-grounded retrospective brief with completion stats, pattern analysis, Start/Stop/Continue prompts, and one concrete experiment for next sprint."
globs:
alwaysApply: false
---
# Retrospective Analysis Skill
Generate a data-grounded retrospective brief that separates facts from feelings, so the team spends retro time on solutions rather than debating what happened.
## Required Inputs
Ask the user for these if not provided:
- **Sprint tickets: planned vs. completed**
- **Carry-over tickets and reasons** (if known)
- **Tickets reopened after closing** (quality signal)
- **Any incidents or unplanned work** (scope creep signal)
- **Sprint velocity vs. historical average** (trend context)
## Process
1. Calculate: completion rate, carry-over rate, unplanned work percentage
2. Identify patterns: which ticket types were most likely to carry over? Which caused blockers?
3. Note any process or communication breakdowns visible in the data
4. Prepare 3 "Start / Stop / Continue" prompts based on the data — not generic, specific to this sprint
5. Suggest 1 concrete experiment for the next sprint based on the biggest friction point
6. **Validate** — Confirm each prompt is specific to this sprint (not a recycled generic prompt), and that the recommended experiment is concrete and measurable
## Output Structure
### Sprint [Number] Retrospective Brief
**By the Numbers:**
- Planned: [n] tickets | Completed: [n] | Carry-over: [n] | Completion rate: [%]
- Unplanned work: [n] tickets ([%] of capacity)
- Velocity: [points] vs. [average] average
**What the Data Suggests:**
[2-3 observations grounded in the numbers above]
**Discussion Prompts:**
- Start: [specific prompt based on this sprint's data]
- Stop: [specific prompt based on this sprint's data]
- Continue: [specific prompt based on this sprint's data]
**Suggested Experiment for Next Sprint:**
[One concrete, testable process change — with a specific success metric]
## Quality Checks
- [ ] Each Start/Stop/Continue prompt names a specific behaviour, not a vague category
- [ ] The recommended experiment is testable in one sprint
- [ ] Carry-over analysis identifies the ticket type or cause, not just the count
- [ ] Data observations don't assign blame — they describe patterns
- [ ] Velocity trend is mentioned in context (is this a one-off or a pattern?)
## Anti-Patterns
- [ ] Do not assign blame to individuals in the retrospective brief — observations must describe patterns, not people
- [ ] Do not produce Start/Stop/Continue prompts that are vague categories — each must name a specific behaviour
- [ ] Do not recommend an experiment that cannot be completed within one sprint — small, testable experiments only
- [ ] Do not treat carry-over tickets as a velocity problem without first identifying the root cause category
- [ ] Do not run the same retrospective format every sprint — vary the format to prevent engagement fatigue