analytics-review
Validate data, explain metric movement, evaluate experiments, and connect acquisition activity to activation, revenue, and retention without overstating…
Skill by luxiaolei
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/luxiaolei-analytics-review
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: data
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/analytics-review
What's inside
- Skill name
analytics-review- Description
- Validate data, explain metric movement, evaluate experiments, and connect acquisition activity to activation, revenue, and retention without overstating causality.
- License
- MIT
- Instructions
- 23 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- SKILL.zh-CN.md
SKILL.md (first lines)
# Analytics and Review ## Establish the metric contract Before calculating, define metric name, business meaning, event/formula, population, denominator, attribution logic, period/timezone, source of truth, and expected latency. ## Validate Check event/schema changes, duplicates, missing periods, bot/internal traffic, refunds/cancellations where relevant, identity joins, campaign parameters, and differences between analytics and billing/search sources. Resolve material conflicts before using the data for a decision. ## Analyze - distinguish volume from rate and mix changes; - segment by acquisition source, landing page, cohort, device/region only when useful and sufficiently supported; - trace downstream quality from impression/click -> qualified visit -> signup -> activation -> payment -> retention when IDs allow; - separate correlation, before/after association, and controlled causal evidence; - include cost and opportunity cost when choosing between growth levers. ## Close the loop Compare to the predeclared experiment metric and guardrails. Return calculations, source links/queries, limitations, causal confidence, and a continue/stop/rollback/scale/learn decision. `insufficient evidence` is valid.
From luxiaolei/AutoSpread, MIT.
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Run bounded paid acquisition experiments only when audience, offer, destination, attribution, budget, and stop rules are ready.
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channel-operations
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Prepare, publish, schedule, and verify approved content through authorized APIs, CLIs, or UI automation while preserving external evidence.
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channel-selection
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customer-research
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ecommerce-seo
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Audit stores and product catalogs across product/category pages, variants, structured data, merchant surfaces, faceted navigation, and commercial search…
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geo-optimization
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Make product and content pages easy for people and answer engines to understand, extract, verify, compare, and cite without treating GEO as a ranking hack.
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growth-experiment
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growth-strategy
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 27, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/luxiaolei/AutoSpread
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from luxiaolei
- 0.567score
autospread
luxiaolei
Growth Lead method for diagnosing the biggest growth constraint, choosing the smallest useful playbook, and operating within an explicit autonomy policy.
SkillAFreshness: AClaude Code +9 - 0.561score
agent-readiness
luxiaolei
Make a website usable by user-triggered AI agents and machine clients without confusing agent operability with GEO ranking.
SkillAFreshness: AClaude Code +9 - 0.561score
paid-acquisition
luxiaolei
Run bounded paid acquisition experiments only when audience, offer, destination, attribution, budget, and stop rules are ready.
SkillAFreshness: AClaude Code +9 - 0.561score
channel-selection
luxiaolei
Choose a small channel portfolio based on audience behavior, product demonstration fit, intent, economics, and existing evidence.
SkillAFreshness: AClaude Code +9 - 0.561score
channel-operations
luxiaolei
Prepare, publish, schedule, and verify approved content through authorized APIs, CLIs, or UI automation while preserving external evidence.
SkillAFreshness: AClaude Code +9 - 0.561score
customer-research
luxiaolei
Research customer problems, alternatives, triggers, objections, and language with traceable evidence that can change product or growth decisions.
SkillAFreshness: AClaude Code +9
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
analytics-review skill. Agent Mart. https://agentmart.dev/skills/luxiaolei-analytics-review (last updated 2026-10-24)