This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
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。
Notion expert for product management workflows. Use for database design for PRDs/OKRs/Roadmaps/Decisions, property and view design, page architecture, Notion REST API, and sync with Jira, Linear, and GitHub.
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。
Master-level expertise in using Notion as the documentation and operational backbone for a product team: PRDs, OKRs, roadmaps, decision logs, sprint reviews, 1:1 notes, customer research, and sync patterns with Jira, Linear, and GitHub. Covers Notion's database model, view design, formula and rollup patterns, page architecture, and REST API.
Notion's PM value comes from its database model: every meaningful PM artifact (a PRD, an OKR, a roadmap row, a decision) becomes a row in a typed database, with relations to other databases. This unlocks linked views (one source of truth, many surface presentations), rollups (aggregate child progress into a parent), and a queryable API. The job of a Notion PM expert is to design these databases up front, restrain ad-hoc page creation, and tie the workspace into Jira/Linear/GitHub so the artifacts stay current without manual maintenance.
Pull the reference that matches the task; keep this file lean and load detail on demand.
Notion-Version: 2025-09-03 (databases → data sources; as of September 2026). Read when authoring API integrations.In Scope: Notion workspace and Teamspace setup, database design for PRDs/OKRs/Roadmap/Decisions/Reviews/1:1s, view design, property and relation modeling, page architecture, Notion REST API authoring, sync pattern design with Jira/Linear/GitHub, governance and review cadences.
Out of Scope: Notion administration (SCIM, SAML, billing) at the workspace level beyond Teamspace setup. Jira space and project configuration (hand off to jira-expert/ and confluence-expert/). Linear configuration (hand off to linear-expert/). Strategic OKR setting (hand off to execution/brainstorm-okrs/). Story splitting and backlog refinement (hand off to execution/backlog-refinement/, execution/story-splitting/).
Limitations: Notion's API rate limits (~3 req/s) make it unsuitable for very high-throughput sync; batch and queue. Status properties cannot have options created via the API in lower plan tiers; pre-create options manually. Rollups cannot reference rollups in older API versions; chain via formulas where needed. Page-level permissions can be overridden in unexpected ways by Teamspace-level changes. Notion is not a real-time collaboration substitute for chat; do not try to replace Slack with comments.
| Integration | Direction | What Flows |
|---|---|---|
jira-expert/ | Notion ↔ Jira | PRD-to-Epic creation; Jira issue embeds in PRD pages |
confluence-expert/ | Migration | When moving from Confluence to Notion, structure and content mapping |
linear-expert/ | Notion ↔ Linear | PRD-to-Project creation; Linear progress rollups into Notion |
execution/create-prd/ | PRD → Notion | PRD scaffolder output rendered as Notion blocks via --format notion |
execution/brainstorm-okrs/ | OKR → Notion | OKR validator output written to the OKR DB |
execution/outcome-roadmap/ | Roadmap → Notion | Roadmap rows materialized in the Roadmap DB |
execution/daci-framework/ | Decision → Notion | DACI decisions logged in the Decisions DB |
execution/status-update-generator/ | Notion → Status | Weekly status pulls aggregates from PRDs/OKRs DBs |
execution/release-notes/ | Notion → Release | Shipped PRDs feed release notes input |
senior-pm/ | Notion → Portfolio | OKR and Roadmap DBs feed portfolio reports |
discovery/interview-synthesis/ | Research → Notion | Customer research database populated from interview synth output |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
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 and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
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 and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
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。
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
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 ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
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。
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
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。