Slack's own Block Kit skill — and the rare vendor skill that needs no token, because it validates against Slack's public API.
By role
Top Skills for Product
PRDs, specs, user research synthesis, roadmap planning, feature exploration.
16 skills indexed · ranked by composite score · updated August 18, 2026
Top 6 Product skills
- 1.block-kit—Slack's own Block Kit skill — and the rare vendor skill that needs no token, because it validates against Slack's public API.
Slack's own Block Kit skill — and the rare vendor skill that needs no token, because it validates against Slack's public API.
- 2.visualize-data—OpenAI's chart-design skill: the judgement layer that decides which chart the question actually needs before any plotting code is written.
OpenAI's chart-design skill: the judgement layer that decides which chart the question actually needs before any plotting code is written.
- 3.build-dashboard—Dashboards with source definitions and a QA step — the parts that separate a monitoring view from a wall of charts nobody trusts.
Dashboards with source definitions and a QA step — the parts that separate a monitoring view from a wall of charts nobody trusts.
Notion API: page/database CRUD, block hierarchies, rich text, schema sync.
- 5.knock-notification-best-practices—The multi-channel notification slot nothing else covers: push, in-app and chat alongside email, with copy guidance per channel. No credentials required.
The multi-channel notification slot nothing else covers: push, in-app and chat alongside email, with copy guidance per channel. No credentials required.
One-command productivity bootstrap. Memory, tasks, dashboard.
About Product
Product vertical Skills cover the PM workflow — PRDs, specs, roadmap planning, user research synthesis, feature exploration, A/B test design, prioritization frameworks. The category sits at the intersection of engineering, design and growth, and the strongest Skills here understand all three.
The common workflows include drafting a PRD from a problem statement, writing technical specs that engineers can implement directly, synthesizing customer research into prioritized themes, designing experiments with proper sample size and success metrics, building a roadmap that respects engineering capacity, and authoring product launch communications. Several pair with Linear, Monday, ClickUp, Notion, and analytics MCPs for live ticket and metric state.
Product managers, founders, growth PMs, and product analysts use these Skills. Composite scoring weights install count, the structure of the artifacts (PRDs that ship vs. PRDs that drift), and how well the Skill handles tradeoffs — Skills that produce confident roadmaps without surfacing constraints rank below those that show their work.
Ranked by score
Best Product Skills
Skills with strong fit for product workflows.
OpenAI's chart-design skill: the judgement layer that decides which chart the question actually needs before any plotting code is written.
Dashboards with source definitions and a QA step — the parts that separate a monitoring view from a wall of charts nobody trusts.
Notion API: page/database CRUD, block hierarchies, rich text, schema sync.
The multi-channel notification slot nothing else covers: push, in-app and chat alongside email, with copy guidance per channel. No credentials required.
One-command productivity bootstrap. Memory, tasks, dashboard.
Cited research reports from fanned-out web search with adversarial verification.
Internal comms that read consistent. Newsletters, status reports, FAQs, updates.
Turn raw research into themes, segments, and a prioritized next-steps list.
Research-ops in a skill. Plan the study, run it, synthesize the findings.
Workplace memory that actually understands your team's shorthand.
Lightweight task tracking in a single markdown file.
Excalidraw JSON diagrams from prose, with rendering self-checks.
C4, deployment, sequence-of-events architecture diagrams generated from natural-language descriptions.
FAQ
Frequently asked
What does a PRD Skill produce?
A structured PRD — problem, goal, non-goals, user stories, success metrics, open questions, rollout plan. The top Skills follow a recognizable template that engineers can read and implement directly.
Do these Skills handle A/B test design?
Yes — they specify the hypothesis, success metric, sample size for a given MDE, and audience definition. They do not run the test; that requires your experimentation platform.
Can these Skills synthesize user interviews?
Yes — research-synthesis Skills cluster raw transcripts into themes, identify recurring patterns, and surface representative quotes. They work best on full transcripts.
Are roadmap Skills aware of engineering capacity?
When paired with Linear or Jira MCPs they read team capacity; otherwise they ask. They are explicit about assumptions rather than guessing.
Do these Skills work for B2B and B2C?
Both — the artifacts (PRDs, specs, research synthesis) are format-stable across product types. Audience-specific Skills (consumer onboarding, enterprise pilot design) are separately tagged.
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