Daily Retro Pdca

---
name: daily-retro-pdca
description: Guides a structured daily or weekly retrospection by reading Slack, G Suite,
  Granola, and Obsidian vaults to identify patterns and facilitate Socratic self-reflection
  for personal performance improvement as a leader, software developer, consultant, and author.
  Use this skill whenever working on end-of-day review, weekly reflection, or performance
  improvement cycles. Triggers on phrases like "daily retro", "weekly retro", "let's do a retro",
  "reflect on my week", "how did I perform", "time for retrospection", or "performance review".
---

# Daily Retrospection PDCA Framework

A structured human-AI collaboration for daily or weekly self-reflection on performance as a
leader, software developer, consultant, and author.
Cycle frequency: On-demand (daily or weekly), human-initiated.

## How to Use This Skill

Work through phases in order. Each phase has a STOP condition before proceeding.

**PLAN** — Set the stage and gather data from all available sources.
See `references/phase-prompts.md` → PLAN phase.

**DO** — Generate insights through Socratic dialogue. Human decides which are meaningful.
See `references/phase-prompts.md` → DO phase.

**CHECK** — Arrive at 1-3 actions through Socratic interrogation. Human owns all commitments.
See `references/phase-prompts.md` → CHECK phase.

**ACT** — Close the retro. Record commitments. Propose skill refinements.
See `references/phase-prompts.md` → ACT phase.
See `references/working-agreements.md` for the current version and process discipline rules.

## STOP Triggers — Intervene Immediately

If any of these occur, stop the AI and restate the relevant phase prompt:

- AI makes assumptions about why you behaved a certain way
- AI draws conclusions about other people's motives or performance
- AI proposes specific actions or recommendations instead of asking Socratic questions
- Data gathering was skipped or incomplete before insights are presented
- More than 3 actions appear on the commitment list without your explicit request for more
- Prior commitments not reviewed before new commitments are proposed

## Human Ownership — Non-Negotiable

The human owns these decisions. AI must not proceed past them without explicit approval:

- Initiating each cycle
- Deciding which observations are meaningful and worth reflecting on
- Arriving at all commitments through own reasoning (AI asks questions, never proposes actions)
- Evaluating whether prior cycle commitments were actually followed through