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AI & Agents
Command

/cs-product

Top-level product-team router. Classifies a product inquiry across 16 lanes (prioritization, OKRs, UX, design system, competitive, analytics, experiments, discovery, roadmaps, spec-to-repo, landing, SaaS scaffold, stories, HIG, code-to-PRD, summarizer) with a deterministic

From plugin
claude-skills
30k169 skills127 agents169 commands2 MCP
$ npx -y skills add alirezarezvani/claude-skills --agent claude-code

Command definition

cs-product.md
disable-model-invocation: true
description: Top-level product-team router. Classifies a product inquiry across 16 lanes (prioritization, OKRs, UX, design system, competitive, analytics, experiments, discovery, roadmaps, spec-to-repo, landing, SaaS scaffold, stories, HIG, code-to-PRD, summarizer) with a deterministic script and forks context to the right sub-skill via the product-skills orchestrator, returning a ≤200-word digest with one grill challenge.
argument-hint: "<product inquiry: prioritize features, plan an experiment, discovery health, etc.>"

/cs-product — Product Team router

Route this inquiry through the `product-skills` orchestrator:

**$ARGUMENTS**

Routing (deterministic — run the script, don't eyeball)

python3 ${CLAUDE_PLUGIN_ROOT}/skills/product-skills/scripts/product_goal_router.py --text "$ARGUMENTS" --output json
  • Exit 0 → load `skill_path`/SKILL.md (covers the 4 standalone plugins too) and follow

that skill's own workflow in a fork.

  • Exit 2 → ask ONE clarifying question naming the listed candidates, recommended answer

first.

  • Exit 3 → ask the user to restate the goal with the deliverable named. Never guess.
  • Explore the workspace first — an `ost.json`, `discovery_log.json`, or `features.csv`

resolves the lane silently. Never silently chain a second sub-skill.

Output (≤200-word digest)

  • What was analyzed
  • Top 3 findings, each anchored to a canon citation
  • Top 3 next actions with a named owner
  • Artifact path
  • One grill challenge (e.g. "This roadmap cites an OST that fails the linter — which

opportunity backs item 3?")

Hard rules

  • Insights carry participant counts; singletons are anecdotes.
  • Experiments carry computed sample size + MDE, never gut feel.
  • Prioritization names its framework (RICE / WSJF / opportunity score) and why.
  • AI features get an eval spec (golden set + rubric + guardrails) in the PRD.
  • Recurring discovery work goes to `/cs-product-loop` instead.

Distinct from

  • `project-management` — how to deliver. This domain is what to build.
  • `marketing/landing` — from-scratch marketing pages; `landing-page-generator` here

scaffolds product Next.js/TSX pages.

Read more
@alirezarezvani
Ships withclaude-skills

411 production-ready skills for Claude Code and 12 other coding agents, covering engineering, product, marketing, compliance, finance and the C-suite. We test whether each skill loads when you ask in plain words, and publish the results.

30k200 skills127 agents2 MCP
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