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175 lines
6.7 KiB
Markdown
175 lines
6.7 KiB
Markdown
---
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name: retrospective
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description: |
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Collect metrics from implementation batch reports and code review findings, analyze trends across cycles,
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and produce improvement reports with actionable recommendations.
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3-step workflow: collect metrics, analyze trends, produce report.
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Outputs to _docs/06_metrics/.
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Trigger phrases:
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- "retrospective", "retro", "run retro"
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- "metrics review", "feedback loop"
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- "implementation metrics", "analyze trends"
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category: evolve
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tags: [retrospective, metrics, trends, improvement, feedback-loop]
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disable-model-invocation: true
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---
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# Retrospective
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Collect metrics from implementation artifacts, analyze trends across development cycles, and produce actionable improvement reports.
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## Core Principles
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- **Data-driven**: conclusions come from metrics, not impressions
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- **Actionable**: every finding must have a concrete improvement suggestion
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- **Cumulative**: each retrospective compares against previous ones to track progress
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- **Save immediately**: write artifacts to disk after each step
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- **Non-judgmental**: focus on process improvement, not blame
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## Context Resolution
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Fixed paths:
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- IMPL_DIR: `_docs/03_implementation/`
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- METRICS_DIR: `_docs/06_metrics/`
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- TASKS_DIR: `_docs/02_tasks/`
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Announce the resolved paths to the user before proceeding.
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## Prerequisite Checks (BLOCKING)
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1. `IMPL_DIR` exists and contains at least one `batch_*_report.md` — **STOP if missing** (nothing to analyze)
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2. Create METRICS_DIR if it does not exist
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3. Check for previous retrospective reports in METRICS_DIR to enable trend comparison
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## Artifact Management
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### Directory Structure
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```
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METRICS_DIR/
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├── retro_[YYYY-MM-DD].md
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├── retro_[YYYY-MM-DD].md
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└── ...
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```
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## Progress Tracking
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At the start of execution, create a TodoWrite with all steps (1 through 3). Update status as each step completes.
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## Workflow
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### Step 1: Collect Metrics
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**Role**: Data analyst
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**Goal**: Parse all implementation artifacts and extract quantitative metrics
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**Constraints**: Collection only — no interpretation yet
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#### Sources
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| Source | Metrics Extracted |
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|--------|------------------|
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| `batch_*_report.md` | Tasks per batch, batch count, task statuses (Done/Blocked/Partial) |
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| Code review sections in batch reports | PASS/FAIL/PASS_WITH_WARNINGS ratios, finding counts by severity and category |
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| Task spec files in TASKS_DIR | Complexity points per task, dependency count |
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| `FINAL_implementation_report.md` | Total tasks, total batches, overall duration |
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| Git log (if available) | Commits per batch, files changed per batch |
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#### Metrics to Compute
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**Implementation Metrics**:
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- Total tasks implemented
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- Total batches executed
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- Average tasks per batch
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- Average complexity points per batch
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- Total complexity points delivered
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**Quality Metrics**:
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- Code review pass rate (PASS / total reviews)
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- Code review findings by severity: Critical, High, Medium, Low counts
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- Code review findings by category: Bug, Spec-Gap, Security, Performance, Maintainability, Style, Scope
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- FAIL count (batches that required user intervention)
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**Efficiency Metrics**:
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- Blocked task count and reasons
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- Tasks completed on first attempt vs requiring fixes
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- Batch with most findings (identify problem areas)
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**Self-verification**:
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- [ ] All batch reports parsed
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- [ ] All metric categories computed
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- [ ] No batch reports missed
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---
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### Step 2: Analyze Trends
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**Role**: Process improvement analyst
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**Goal**: Identify patterns, recurring issues, and improvement opportunities
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**Constraints**: Analysis must be grounded in the metrics from Step 1
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1. If previous retrospective reports exist in METRICS_DIR, load the most recent one for comparison
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2. Identify patterns:
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- **Recurring findings**: which code review categories appear most frequently?
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- **Problem components**: which components/files generate the most findings?
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- **Complexity accuracy**: do high-complexity tasks actually produce more issues?
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- **Blocker patterns**: what types of blockers occur and can they be prevented?
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3. Compare against previous retrospective (if exists):
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- Which metrics improved?
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- Which metrics degraded?
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- Were previous improvement actions effective?
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4. Identify top 3 improvement actions ranked by impact
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**Self-verification**:
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- [ ] Patterns are grounded in specific metrics
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- [ ] Comparison with previous retro included (if exists)
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- [ ] Top 3 actions are concrete and actionable
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---
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### Step 3: Produce Report
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**Role**: Technical writer
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**Goal**: Write a structured retrospective report with metrics, trends, and recommendations
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**Constraints**: Concise, data-driven, actionable
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Write `METRICS_DIR/retro_[YYYY-MM-DD].md` using `templates/retrospective-report.md` as structure.
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**Self-verification**:
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- [ ] All metrics from Step 1 included
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- [ ] Trend analysis from Step 2 included
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- [ ] Top 3 improvement actions clearly stated
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- [ ] Suggested rule/skill updates are specific
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**Save action**: Write `retro_[YYYY-MM-DD].md`
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Present the report summary to the user.
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---
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## Escalation Rules
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| Situation | Action |
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|-----------|--------|
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| No batch reports exist | **STOP** — nothing to analyze |
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| Batch reports have inconsistent format | **WARN user**, extract what is available |
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| No previous retrospective for comparison | PROCEED — report baseline metrics only |
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| Metrics suggest systemic issue (>50% FAIL rate) | **WARN user** — suggest immediate process review |
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## Methodology Quick Reference
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```
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┌────────────────────────────────────────────────────────────────┐
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│ Retrospective (3-Step Method) │
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├────────────────────────────────────────────────────────────────┤
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│ PREREQ: batch reports exist in _docs/03_implementation/ │
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│ │
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│ 1. Collect Metrics → parse batch reports, compute metrics │
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│ 2. Analyze Trends → patterns, comparison, improvement areas │
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│ 3. Produce Report → _docs/06_metrics/retro_[date].md │
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├────────────────────────────────────────────────────────────────┤
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│ Principles: Data-driven · Actionable · Cumulative │
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│ Non-judgmental · Save immediately │
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└────────────────────────────────────────────────────────────────┘
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```
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