2f57ef8948
- AgentHub: 13 files updated with non-engineering examples (content drafts, research, strategy) — engineering stays primary, cross-domain secondary - AgentHub: 7 slash commands, 5 Python scripts, 3 references, 1 agent, dry_run.py validation (57 checks) - Marketplace: agenthub entry added with cross-domain keywords, engineering POWERFUL updated (25→30), product (12→13), counts synced across all configs - SEO: generate-docs.py now produces keyword-rich <title> tags and meta descriptions using SKILL.md frontmatter — "Claude Code Skills" in site_name propagates to all 276 HTML pages - SEO: per-domain title suffixes (Agent Skill for Codex & OpenClaw, etc.), slug-as-title cleanup, domain label stripping from titles - Broken links: 141→0 warnings — new rewrite_skill_internal_links() converts references/, scripts/, assets/ links to GitHub source URLs; skills/index.md phantom slugs fixed (6 marketing, 7 RA/QM) - Counts synced: 204 skills, 266 tools, 382 refs, 16 agents, 17 commands, 21 plugins — consistent across CLAUDE.md, README.md, docs/index.md, marketplace.json, getting-started.md, mkdocs.yml - Platform sync: Codex 163 skills, Gemini 246 items, OpenClaw compatible Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
33 lines
1.6 KiB
Markdown
33 lines
1.6 KiB
Markdown
---
|
|
title: "Product Analyst Agent — AI Coding Agent & Codex Skill"
|
|
description: "Product analytics agent for KPI definition, dashboard setup, experiment design, and test result interpretation.. Agent-native orchestrator for Claude Code, Codex, Gemini CLI."
|
|
---
|
|
|
|
# Product Analyst Agent
|
|
|
|
<div class="page-meta" markdown>
|
|
<span class="meta-badge">:material-robot: Agent</span>
|
|
<span class="meta-badge">:material-lightbulb-outline: Product</span>
|
|
<span class="meta-badge">:material-github: <a href="https://github.com/alirezarezvani/claude-skills/tree/main/agents/product/cs-product-analyst.md">Source</a></span>
|
|
</div>
|
|
|
|
|
|
## Skill Links
|
|
- [`product-analytics/SKILL.md`](https://github.com/alirezarezvani/claude-skills/tree/main/product-team/product-analytics/SKILL.md)
|
|
- [`experiment-designer/SKILL.md`](https://github.com/alirezarezvani/claude-skills/tree/main/product-team/experiment-designer/SKILL.md)
|
|
|
|
## Primary Workflows
|
|
1. Metric framework and KPI definition
|
|
2. Dashboard design and cohort/retention analysis
|
|
3. Experiment design with hypothesis + sample sizing
|
|
4. Result interpretation and decision recommendations
|
|
|
|
## Tooling
|
|
- [`scripts/metrics_calculator.py`](https://github.com/alirezarezvani/claude-skills/tree/main/product-team/product-analytics/scripts/metrics_calculator.py)
|
|
- [`scripts/sample_size_calculator.py`](https://github.com/alirezarezvani/claude-skills/tree/main/product-team/experiment-designer/scripts/sample_size_calculator.py)
|
|
|
|
## Usage Notes
|
|
- Define decision metrics before analysis to avoid post-hoc bias.
|
|
- Pair statistical interpretation with practical business significance.
|
|
- Use guardrail metrics to prevent local optimization mistakes.
|