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ai-analyst-lab

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@ai-analyst-lab

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11Public Repos
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79Published Skills

Enterprise analytics framework for structured data validation, metric definition, and stakeholder-ready presentation generation across diverse data sources.

Skills Distribution
DomainBusiness, Fi...Data Engineering &.. (40%)Business Intellige.. (35%)Technical Document.. (25%)

Agent Skills by ai-analyst-lab

Showing 79 vetted skills indexed across 3 GitHub repositories.

ai-analyst-labai-analyst-lab
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metrics

List and inspect metric definitions with formulas, units, and categories.

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Advanced
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google-slides-export

Create Google Slides decks via the MCP API with validated slide recipes.

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slide-transform

Generate 2–3 redesigned slide variants with Marp-ready layout notes.

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kickoff

Post a personal Slack introduction to the #introductions channel from the user's account.

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stress-test

Apply a 7-point stress test to analysis plans and generate PASS/WARNING/FAIL verdicts with fixes.

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show-off

Analyze git status and commits to generate an ASCII architecture diagram and Slack post.

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analysis-design

Convert vague analytical hunches into stakeholder-ready analysis plans.

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causal

Estimate treatment effects from observational data with assumption checks and sensitivity analysis.

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chart-to-drive

Uploads chart PNGs to Google Drive and generates public URLs for Docs and Slides embedding.

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data-inspect

Present cached schema details for tables, columns, row counts, and relationships from active.yaml and schema.md files.

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resume-pipeline

Reload pipeline state and resume from the next READY agents.

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deck-critique

Score Marp Markdown and Google Slides decks against the Data Story Checklist.

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metric-spec

Define metrics with a standardized template and register them to the Knowledge System.

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theme-picker

Presents an interactive menu of brand themes when no chart theme is selected.

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business

Query organizational business context for glossary terms, products, metrics, OKRs, and teams.

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pace

Persist the user's pace mode to working/session_state.yaml across L3+ analyses.

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experiment-brief

Generate experiment briefs with hypothesis, metrics, guardrails, and feasibility estimates.

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notion-ingest

Crawl Notion pages, databases, and blocks into structured knowledge and raw markdown.

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deck-rescue

Rewrite failing decks into coherent Marp presentations with speaker notes.

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stakeholder-communication

Tailor analytical findings for executives, product, engineering, and data audiences.

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explore

Provides guided, interactive previews of connected datasets and their structure.

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google-doc-export

Create and format Google Docs documents via the MCP API.

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skill-creator

Create, evaluate, and iterate Claude Skills with frontmatter and automation hooks.

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auth-preflight

Verify Google MCP authentication before Google Docs, Slides, or Drive tasks.

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Advanced

Frequently Asked Questions About ai-analyst-lab

FAQPage Schema
What specific analytical tasks are supported by this framework?β–Ό

The framework supports end-to-end analytics including time-series forecasting, causal inference, dataset profiling, and metric definition. It enables structured question framing, multi-source data triangulation, and the generation of validated slide decks or documents for executive, product, and engineering stakeholders.

Which personas benefit most from these capabilities?β–Ό

Data analysts, product managers, and business intelligence engineers benefit from these capabilities. The system is designed for professionals who need to bridge the gap between raw database queries and high-level organizational decision-making through standardized reporting and rigorous data validation.

What are the primary dependencies for runtime execution?β–Ό

Runtime requires a configured environment with access to data sources like DuckDB, PostgreSQL, BigQuery, or Snowflake. Users must also manage local YAML-based context files for schema definitions and maintain authentication for Google Workspace integrations to enable document and slide exports.