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Skill755 estrellas del repoactualizado 8d ago

foundation-okr-writer

The foundation-okr-writer skill drafts, reviews, rewrites, and coaches outcome-based OKR sets across team, department, product, or company scopes through five engagement modes (Guided, One-Shot, Sustained Coach, Audit Only, Rewrite). Use it when planning quarterly OKRs, translating strategy into team outcomes, reviewing draft OKRs for quality issues, or converting feature lists and roadmaps into properly structured outcome-based OKRs.

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git clone --depth 1 https://github.com/product-on-purpose/pm-skills /tmp/foundation-okr-writer && cp -r /tmp/foundation-okr-writer/skills/foundation-okr-writer ~/.claude/skills/foundation-okr-writer
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.md

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
# OKR Writer

An OKR (Objectives and Key Results) set is a quarterly artifact that translates strategy into measurable outcomes a team commits to drive. OKRs are a focus and learning system, not a project plan, KPI dashboard, performance review device, or roadmap wrapper. Done well, they make priorities explicit, force tradeoffs, enable cross-team alignment, and create visible evidence of progress. Done poorly, they generate roadmap theater, compensation gaming, and false precision.

This skill is a coach, not a template filler. It drafts, reviews, rewrites, and audits OKR sets against the empirical consensus drawn from Doerr (`Measure What Matters`), Wodtke (`Radical Focus`), Cagan (SVPG team objectives), Castro (outcome-vs-output), Grove (`High Output Management`), Torres (continuous discovery), and Gothelf and Seiden (`Outcomes Over Output`).

## Supported Modes

Five entry modes support different engagement levels. Mode is detected from user phrasing; default to Guided when ambiguous. State the detected mode at the start of the response.

- `Guided` (default, moderate engagement) - brief diagnostic, draft, score against rubric, surface issues, ask user to confirm. Selected by phrasing like "help me write OKRs for X."
- `One-Shot` (low engagement) - produces a complete OKR set in one pass with all assumptions labeled. Selected by `--oneshot` flag or phrasing like "just draft OKRs from this context."
- `Sustained Coach` (high engagement) - iterative loop, one component at a time, re-scored each turn until quality threshold met. Selected by "coach me through OKRs for X."
- `Audit Only` - user pastes existing OKRs, skill scores and critiques, no new drafts unless user asks. Selected by "review these OKRs."
- `Rewrite` - convert flawed OKRs, feature lists, or roadmap items into outcome-shaped OKRs. Selected by "fix these OKRs" or "convert this roadmap to OKRs."

## When to Use

- Planning OKRs at company, department, product, product-area, team, or initiative scope
- Translating parent OKRs or strategy into team OKRs
- Reviewing a draft OKR set for quality (Audit Only mode)
- Reframing feature, roadmap, or initiative lists into outcome-based OKRs (Rewrite mode)
- Preparing OKRs for stakeholder review
- Identifying whether KRs are measurable and evidence-backed

## When NOT to Use

- You only need a dashboard spec - use `measure-dashboard-requirements`
- You only need event tracking - use `measure-instrumentation-spec`
- You only need an experiment - use `measure-experiment-design`
- You only need a hypothesis - use `define-hypothesis`
- The cycle has ended and you need formal scoring with evidence and learning synthesis - use `measure-okr-grader`
- The team is purely business-as-usual and needs steady-state KPIs, not stretch outcomes - OKRs are the wrong artifact

## Instructions

When asked to write or review OKRs, follow these steps:

1. **Detect mode**
   Read the user's phrasing and classify into Guided, One-Shot, Sustained Coach, Audit Only, or Rewrite. Look for explicit signals (`--oneshot`, "review these," "fix these," "coach me"). Default to Guided when ambiguous. State the detected mode at the start of the response.

2. **Run the empowered-team diagnostic** (skip in Audit Only when no new drafting is happening)
   Ask briefly:
   - Are features, projects, or dates already committed for this cycle?
   - Can the team change initiatives mid-cycle if KRs are not moving?
   - Who decides what gets built, this team or someone else?

   Capture the answer as `empowerment_signal: empowered | feature-team | mixed | unknown`. This affects output framing in later steps. Do NOT refuse to proceed when feature-team signals are present; instead, plan to add a Disclosure section to the artifact.

3. **Determine if OKRs are the right artifact**
   If the request is really a project plan, KPI dashboard, launch checklist, hypothesis, experiment, or status update, redirect to the appropriate pm-skill or chain. Do not force OKR shape onto non-OKR work.

4. **Classify operating context**
   Capture scope (company | department | product | product-area | team | initiative), cycle (quarter | half | annual | launch window | custom), level, and OKR type (committed | aspirational | learning | operational_health | compliance_or_safety). Default cycle is quarterly when context is missing.

5. **Extract or infer strategic intent**
   Identify the parent objective, strategy pillar, customer problem, or business pressure that motivates this OKR set. If none is supplied, ask once before drafting.

6. **Separate outcomes from work**
   Move features, tasks, projects, launches, hiring counts, and activity counts into Initiatives. The OKR is what changes in the world; Initiatives are bets on how to make that change happen. Apply Castro's litmus test: "if it can go in your backlog, it is not an outcome."

7. **Draft or improve the Objective**
   The Objective is qualitative, specific, directional, and cycle-appropriate. It describes a desired state change, not a project. It connects to strategy. It avoids embedded metrics (numbers belong in KRs). It avoids empty adjectives unless the artifact defines what they mean.

8. **Draft or improve Key Results**
   For each KR include: metric definition, baseline (or `recommended-to-measure` if missing), target, deadline, evidence source, owner where appropriate, indicator class (`leading | lagging | guardrail | health | evidence_generation`), and confidence (`high | medium | low | unknown`). Include a guardrail KR for any optimization that could harm a paired metric (engagement vs quality, growth vs retention, speed vs reliability).

   Apply the constraint rules in the next section.

9. **Map initiatives as bets**
   Each initiative names which KR(s) it is expected to move and the assumption underlying that expectation. Initiatives are hypotheses, not commitments. Do not list initiatives as KRs
chainSlash Command

Run an ad-hoc ordered chain of pm-skills with shared context (ephemeral; routes to the pm-workflow-orchestrator)

define-hypothesisSkill

Defines a testable hypothesis with clear success metrics and a validation approach. Use when forming assumptions to test or aligning a team on what success looks like, before any experiment is designed. To design the A/B test or experiment that will validate the hypothesis, use measure-experiment-design.

define-jtbd-canvasSkill

Creates a Jobs to be Done canvas capturing the functional, emotional, and social dimensions of a customer job. Use when deeply understanding customer motivations, designing for jobs, or reframing product positioning.

define-opportunity-treeSkill

Creates an opportunity solution tree connecting a desired outcome to customer opportunities and candidate solutions, preventing solution-first jumps in continuous discovery. Use when structuring scattered feature ideas or communicating how the roadmap traces to outcomes. For ranking an existing flat list of candidates, use define-prioritization-framework instead; this skill discovers the list, it does not score one.

define-prioritization-frameworkSkill

Run applicable prioritization frameworks (RICE, ICE, MoSCoW, Weighted Scoring, Kano) against a list of features or initiatives. Produces a comparison table showing where rankings agree and diverge across frameworks, and an executive summary with recommendation. Framework applicability is filtered by data availability; Kano requires customer research. Refuses to fabricate scores; produces an estimation scaffold when input data is missing.

define-problem-statementSkill

Creates a clear problem framing document with user impact, business context, and success criteria. Use when starting a new initiative, realigning a drifted project, or communicating up to leadership.

deliver-acceptance-criteriaSkill

Generates structured Given/When/Then acceptance criteria for a user story or feature slice, covering the happy path, key failure scenarios, and non-functional expectations in testable form. Use when turning requirements into verifiable scenarios for engineering handoff and QA sign-off. For a dedicated catalog of boundary conditions, error states, and recovery paths across a feature, use deliver-edge-cases; to write the stories themselves, use deliver-user-stories.

deliver-edge-casesSkill

Documents edge cases, error states, boundary conditions, race conditions, and recovery paths for a feature - the systematic catalog of what can go wrong and the failure modes to design for. Use during specification to map the failure surface and ensure comprehensive coverage, or during QA planning to identify boundary and limit scenarios to test. Distinct from deliver-acceptance-criteria, which writes story-level Given/When/Then checks; this skill produces the whole-feature edge-case catalog.