Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Strategic product leadership toolkit for OKR cascade generation, quarterly planning, competitive landscape analysis, product vision documents, and team scaling proposals.
日本語の概要は準備中です。原文の説明を表示しています。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Strategic toolkit for Head of Product to drive vision, alignment, and organizational excellence.
| Capability | Description | Tool |
|---|---|---|
| OKR Cascade | Generate aligned OKRs from company to team level | okr_cascade_generator.py |
| Alignment Scoring | Measure vertical and horizontal alignment | Built into generator |
| Strategy Templates | 5 pre-built strategy types | Growth, Retention, Revenue, Innovation, Operational |
| Team Configuration | Customize for your org structure | --teams flag |
# Growth strategy with default teams
python scripts/okr_cascade_generator.py growth
# Retention strategy with custom teams
python scripts/okr_cascade_generator.py retention --teams "Engineering,Design,Data"
# Revenue strategy with 40% product contribution
python scripts/okr_cascade_generator.py revenue --contribution 0.4
# Export as JSON for integration
python scripts/okr_cascade_generator.py growth --json > okrs.json
| Strategy | When to Use |
|---|---|
| Growth | Scaling user base, market expansion |
| Retention | Reducing churn, improving LTV |
| Revenue | Increasing ARPU, new monetization |
| Innovation | Market differentiation, new capabilities |
| Operational | Improving efficiency, scaling operations |
See references/strategy_types.md for detailed guidance.
Provide current/target values: MAU, NPS, conversion rates, revenue metrics.
python scripts/okr_cascade_generator.py growth --teams "Core,Platform,Mobile,AI" --contribution 0.3
| Score | Target | Action if Below |
|---|---|---|
| Vertical Alignment | >90% | Ensure all objectives link to parent |
| Horizontal Alignment | >75% | Check for team coordination gaps |
| Coverage | >80% | Validate all company OKRs are addressed |
| Balance | >80% | Redistribute if one team is overloaded |
| Overall | >80% | <60% needs restructuring |
Before finalizing:
python scripts/okr_cascade_generator.py growth --json > q1_okrs.json
To write OKRs by hand, or review the generator's output with the team, use assets/okr_template.md.
Strategies: growth | retention | revenue | innovation | operational
| Option | Description | Default |
|---|---|---|
--teams, -t | Comma-separated team names | Growth,Platform,Mobile,Data |
--contribution, -c | Product contribution to company OKRs (0-1) | 0.3 (30%) |
--json, -j | Output as JSON instead of dashboard | False |
--metrics, -m | Metrics as JSON string | Sample metrics |
See
references/examples/sample_growth_okrs.jsonfor a complete output example.
| Document | Description |
|---|---|
references/okr_framework.md | OKR methodology, writing guidelines, alignment scoring |
references/strategy_types.md | Detailed breakdown of all 5 strategy types with examples |
references/examples/sample_growth_okrs.json | Complete sample output for growth strategy |
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Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Web/mobile accessibility decision guide: WCAG 2.2 AA, ARIA, keyboard nav, focus management, contrast, testing. Use for: a11y, accessibility, wcag, aria, screen reader, keyboard, contrast.
日本語の概要は準備中です。原文の説明を表示しています。
Generate, iterate, and scale ad creative for paid advertising across Google, Meta, LinkedIn, and X. Covers platform specs, creative frameworks, and quality validation.
日本語の概要は準備中です。原文の説明を表示しています。
Interactive music for games: vertical layering, horizontal re-sequencing, stingers, transition rules with sync points, and mapping gameplay states to music. Use for: adaptive music, dynamic music system, musical transitions, combat music.
日本語の概要は準備中です。原文の説明を表示しています。
Design multi-agent systems, create agent architectures, define communication patterns, and build autonomous agent workflows with structured evaluation frameworks.
日本語の概要は準備中です。原文の説明を表示しています。
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, response formats, and quality loops.
日本語の概要は準備中です。原文の説明を表示しています。