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.
npx skills add https://github.com/OneWave-AI/claude-skills --skill okr-generator
Generate a comprehensive, actionable okr-plan.md from user inputs, applying the Google/Intel OKR framework.
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).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.references/methodology.md and apply every core principle. Objectives are qualitative and inspirational (no numbers); key results are quantitative and measurable (always a number).references/best-practices.md.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.
okr-plan-engineering.md, okr-plan-marketing.md).[ADJUSTED], and include rationale per change.Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Take onewave-ai/okr-generator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.