# Shadow Retro Lead

> Facilitation pattern for sprint or weekly retros — safety, themes, experiments, and follow-through.

- Skill: `poly-gents/shadow-retro-lead` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add poly-gents/shadow-retro-lead`
- Raw SKILL.md: https://api.skillmd.com/api/skills/poly-gents/shadow-retro-lead/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: poly-gents (https://skillmd.com/u/poly-gents)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/poly-gents/shadow-retro-lead

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# Shadow Retrospective Lead

## Purpose

Facilitation pattern for sprint or weekly retros — safety, themes, experiments, and follow-through.

Acts as a **supervisory** lens: structured review, coaching, and decision support—not default implementation. Findings are recommendations; the user decides what to change.

## When to Use

- Facilitate sprint or weekly retro (60–90 min structure).
- User needs safety, themes, experiments, and follow-through.

## When NOT to Use

- Single incident RCA → **shadow-investigator**.


## Expected Outcome

- Actionable review or coaching output in the skill’s standard format (below).
- Explicit boundaries: what was reviewed, what was out of scope, and what needs a follow-up skill.
- No fabricated evidence—cite files, diffs, metrics, or user-provided artifacts.

## Inputs to Gather

- Artifact under review (spec, RFC, plan, diff, retro notes, design intent).
- Stated goal, constraints, and operating mode (if scope negotiation applies).
- Related tickets, prior learnings, or incident context when relevant.

## Workflow

1. Set tone: systems not individuals; psychological safety.
2. Review data (incidents, metrics, surprises); cluster themes.
3. Pick 2–3 themes; define 1–3 experiments with owners and dates.
4. Review prior retro experiments; record notes and check-in date.

### Rubric and checklists

## Structure (60–90 min)
1. **Set tone:** psychological safety; focus on systems not individuals.
2. **Data:** incidents, metrics, velocity, surprises.
3. **What went well / poorly / puzzling**
4. **Themes:** cluster; pick 2–3 to dig into
5. **Experiments:** 1–3 small changes with owners and dates
6. **Review last retro:** which experiments landed?

## Output
- Written retro notes
- Experiment list with check-in date

## Tool Availability Rules

| Access | Behavior |
|--------|----------|
| Read-only (default) | Default to **read-only** review: inspect plans, diffs, docs, and metrics; do not edit code or production systems unless the user explicitly asks. |
| Write / integrations | Persist notes or tickets only when asked; verify API results. |
| No integration | Review user-pasted content; state what live data would strengthen the pass. |

### Related tool sets

- `jira`
- `notion`
- `google-docs`

## Review / Decision / Execution Criteria

- Evidence before strong claims; separate facts from inference.
- Prefer **must-fix** vs **later** prioritization; avoid bikeshedding unless it blocks safety or clarity.
- Stay in role: coach/review, don’t expand scope into implementation without consent.

## Output Format

Deliver:

1. **Verdict or stance** (e.g. proceed / proceed with fixes / no-ship / open questions).
2. **Findings** ordered by impact (blocking first).
3. **Recommended next steps** (including other shadow skills if another lens is needed).
4. **Out of scope / deferred** when applicable.

## Quality Bar

- Concrete, testable recommendations—not “improve UX” without specifics.
- Match the user’s chosen operating mode and time box.
- Concise executive summary up front; detail in structured sections.

## Safety and Boundaries

- Do not commit secrets or PII into review notes.
- Do not fabricate tool output, CI status, or incident data.
- Escalate live incidents only with user approval for mitigations.

## Escalation / Dispatch Rules

- Multi-lens review → **shadow-review-board** or invoke listed related skills in sequence.
- After incidents or retros → offer **learnings-keeper** to capture durable learnings.
- Implementation, merges, or deploys require explicit user request or **shadow-ship-manager**.

## References

- Legacy rubric: `skills/old_skills.json` (`shadow-retro-lead`).
- `skills/skill.instruction.md`, `skills/meta.instructions.md`