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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. 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.

  2. 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.

  3. 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.

  4. 4.notion-api-skill

    Notion API: page/database CRUD, block hierarchies, rich text, schema sync.

  5. 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.

  6. 6.start

    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.

Slack's own Block Kit skill — and the rare vendor skill that needs no token, because it validates against Slack's public API.

SlackBlock KitModals
Code
Low2 min

OpenAI's chart-design skill: the judgement layer that decides which chart the question actually needs before any plotting code is written.

ChartsData vizQA
Code
Low3 min

Dashboards with source definitions and a QA step — the parts that separate a monitoring view from a wall of charts nobody trusts.

DashboardsMetricsMonitoring
Code
Medium3 min

The multi-channel notification slot nothing else covers: push, in-app and chat alongside email, with copy guidance per channel. No credentials required.

NotificationsPushMulti-channel
Code
Low1 min

One-command productivity bootstrap. Memory, tasks, dashboard.

SetupProductivityOnboarding
All surfaces
Low1 min

Cited research reports from fanned-out web search with adversarial verification.

ResearchWeb SearchSynthesis
Code
Low1 min

Internal comms that read consistent. Newsletters, status reports, FAQs, updates.

NewsletterStatusFAQ
All surfaces
Low1 min

Turn raw research into themes, segments, and a prioritized next-steps list.

ResearchSynthesisUX
All surfaces
Low1 min

Research-ops in a skill. Plan the study, run it, synthesize the findings.

ResearchInterviewsSurveys
All surfaces
Low1 min

Workplace memory that actually understands your team's shorthand.

MemoryProductivityContext
All surfaces
Medium2 min

Lightweight task tracking in a single markdown file.

TasksTodoMarkdown
All surfaces
Low1 min
Official

Periodic memory + task refresh from real activity.

SyncMemoryTasks
All surfaces
Low1 min

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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