okr-generator
Generates structured OKR plans (Objectives and Key Results) for teams and companies following Google/Intel methodology. Takes company goals, team function, quarter, and current metrics to produce a comprehensive okr-plan.md with objectives, key results, scoring criteria, alignment mapping, tracking cadence, and retrospective templates.
What this skill does
# OKR Generator
Generate a comprehensive, actionable `okr-plan.md` from user inputs, applying the Google/Intel OKR framework.
## Contents
- `references/methodology.md` -- Core OKR principles (non-negotiable rules to apply).
- `references/inputs.md` -- The four required inputs plus optional context.
- `references/output-template.md` -- Exact structure of the generated `okr-plan.md`.
- `references/best-practices.md` -- Appendix content (common mistakes, OKR cycle, grading by KR type, reading list).
## Workflow
1. Read `references/inputs.md`. Collect the four required inputs: company goals, team function, quarter/period, current metrics/baseline. If any are missing, ask for them. Never fabricate baselines.
2. Read `references/methodology.md` and apply every core principle. Objectives are qualitative and inspirational (no numbers); key results are quantitative and measurable (always a number).
3. Design 3-5 objectives. Attach 3-4 key results to each. Mark each as Committed or Aspirational, targeting roughly 60-70% committed and 30-40% aspirational across the plan.
4. Map every objective to at least one company goal. Build both the alignment table and the cascade diagram. Drop any objective that does not ladder up.
5. Write a 5-level scoring rubric (0.0, 0.3, 0.5, 0.7, 1.0) for every key result, with KR-specific descriptions.
6. List initiatives separately from key results. Initiatives are the activities ("how"); key results are the measured outcomes ("what"). Never conflate them.
7. Document dependencies and risks. Assign a single owner role to every objective and key result.
8. Define the tracking cadence (weekly check-in, monthly scoring, quarterly retrospective) and include all three templates plus the appendix from `references/best-practices.md`.
9. Generate the full document per `references/output-template.md` as `okr-plan.md` in the working directory (or a user-specified path). Produce at least 400 substantive lines, no filler.
10. Summarize the plan: objective count and committed/aspirational split, the most ambitious key result, key dependencies/risks, and the recommended first action.
## Generation Rules
- Validate inputs before generating; base all targets on the provided baselines (committed: ~10-30% improvement; aspirational: ~50-100%+ or breakthrough).
- Objectives qualitative, key results quantitative. Rewrite any KR lacking a number.
- Every objective maps to a company goal; every KR has a single owner and a scoring rubric.
- Never connect OKR scores to compensation, promotion, or performance reviews. Include the decoupling reminder in the scoring guide.
- Include all templates in full (weekly, monthly, quarterly). Do not abbreviate.
## Edge Cases
- **Multiple teams**: Generate one plan per team in its own file (e.g., `okr-plan-engineering.md`, `okr-plan-marketing.md`).
- **Company-level OKRs**: Remove team-to-company alignment; show department-level cascade instead.
- **Mid-quarter adjustment**: Preserve original OKRs, mark adjusted ones with `[ADJUSTED]`, and include rationale per change.
- **Previous-quarter scores provided**: Calibrate ambition -- if the team scored 1.0 on everything, push harder; if below 0.4, investigate whether the cause was execution or target-setting.
Related in Data & Analytics
clawarr-suite
IncludedComprehensive management for self-hosted media stacks (Sonarr, Radarr, Lidarr, Readarr, Prowlarr, Bazarr, Overseerr, Plex, Tautulli, SABnzbd, Recyclarr, Unpackerr, Notifiarr, Maintainerr, Kometa, FlareSolverr). Deep library exploration, analytics, dashboard generation, content management, request handling, subtitle management, indexer control, download monitoring, quality profile sync, library cleanup automation, notification routing, collection/overlay management, and media tracker integration (Trakt, Letterboxd, Simkl).
querying-soql
IncludedSOQL query generation, optimization, and analysis with 100-point scoring. Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance or safety improvements for Salesforce queries. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use handling-sf-data), Apex DML logic (use generating-apex), or report/dashboard queries.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
habit-flow
IncludedAI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching. Use for creating habits, logging completions naturally ("I meditated today"), viewing progress, and getting personalized coaching.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
visualizing-data
IncludedBuilds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.