e2fff2f8f2
Update all documentation to reflect 177 skills, 254 tools, 357 references, 16 agents, and 17 commands. Add 4 new skill pages, 1 agent page, and 2 command pages to MkDocs site. Sync Codex (156) and Gemini (218) indexes. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
33 lines
1.2 KiB
Markdown
33 lines
1.2 KiB
Markdown
---
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title: "Product Analyst Agent"
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description: "Product Analyst Agent - Claude Code agent for Product."
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---
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# Product Analyst Agent
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<div class="page-meta" markdown>
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<span class="meta-badge">:material-robot: Agent</span>
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<span class="meta-badge">:material-lightbulb-outline: Product</span>
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<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>
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</div>
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## Skill Links
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- `../../product-team/product-analytics/SKILL.md`
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- `../../product-team/experiment-designer/SKILL.md`
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## Primary Workflows
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1. Metric framework and KPI definition
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2. Dashboard design and cohort/retention analysis
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3. Experiment design with hypothesis + sample sizing
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4. Result interpretation and decision recommendations
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## Tooling
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- `../../product-team/product-analytics/scripts/metrics_calculator.py`
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- `../../product-team/experiment-designer/scripts/sample_size_calculator.py`
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## Usage Notes
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- Define decision metrics before analysis to avoid post-hoc bias.
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- Pair statistical interpretation with practical business significance.
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- Use guardrail metrics to prevent local optimization mistakes.
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