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By ai-analyst-lab
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Never present a metric or number in isolation; anchor every number to a comparison (prior period, benchmark, or another segment) or state that none is available. | ai-analyst-lab/ | 304 | — | ~1.4k | Automated safety check: Pass | MIT | 9 days ago |
| 2 | Retrieve proven SQL patterns, table cheatsheets, and join patterns from .knowledge/query-archaeology/ so past work gets reused. | ai-analyst-lab/ | 304 | — | ~1.3k | Automated safety check: Pass | MIT | 9 days ago |
| 3 | Save completed analyses to the knowledge system's analysis archive for future reference. | ai-analyst-lab/ | 304 | — | ~2.7k | Automated safety check: Pass | MIT | 9 days ago |
| 4 | Verify Google Workspace MCP authentication at the start of any session that needs Google APIs (Docs, Slides, Drive). | ai-analyst-lab/ | 304 | — | ~3.1k | Automated safety check: Pass | MIT | 9 days ago |
| 5 | 5.Causal Causal inference toolkit for when experiments are not possible: estimate treatment effects from observational data with assumption checks and mandatory caveats. | ai-analyst-lab/ | 304 | — | ~1.8k | Automated safety check: Pass | MIT | 9 days ago |
| 6 | Standardized workflow for uploading local chart PNGs to Google Drive and making them available for insertion into Google Docs and Slides. | ai-analyst-lab/ | 304 | — | ~1.4k | Automated safety check: Pass | MIT | 9 days ago |
| 7 | Independently validate the current analysis with a second model (OpenAI Codex). | ai-analyst-lab/ | 304 | — | ~3k | Automated safety check: Pass | MIT | 9 days ago |
| 8 | Query the live/remote Snowflake warehouse instead of the local practice copy. | ai-analyst-lab/ | 304 | — | ~1.4k | Automated safety check: Notes | MIT | 9 days ago |
| 9 | Advanced: runs the same question under two configurations and diffs the results. | ai-analyst-lab/ | 304 | — | ~1.8k | Automated safety check: Pass | MIT | 9 days ago |
| 10 | Deep-profile the active dataset: distributions, temporal patterns, correlations, completeness gaps, anomalies. | ai-analyst-lab/ | 304 | — | ~2.4k | Automated safety check: Pass | MIT | 9 days ago |
| 11 | Validate data completeness, consistency, and coverage before any analysis, flagging issues with severity ratings. | ai-analyst-lab/ | 304 | — | ~3.3k | Automated safety check: Pass | MIT | 9 days ago |
| 12 | 12.Datasets List all connected datasets with their status, table counts, and last analysis date. | ai-analyst-lab/ | 304 | — | ~1k | Automated safety check: Pass | MIT | 9 days ago |
| 13 | Single-column distribution deep-dive. An agent skill from ai-analyst-lab/ai-analyst. | ai-analyst-lab/ | 304 | — | ~2.4k | Automated safety check: Pass | MIT | 9 days ago |
| 14 | 14.Eval Evaluate a named AI Analyst configuration across a frozen suite. | ai-analyst-lab/ | 304 | — | ~2.4k | Automated safety check: Pass | MIT | 9 days ago |
| 15 | 15.Experiment The analysis and lifecycle owner for experiments. An agent skill from ai-analyst-lab/ai-analyst. | ai-analyst-lab/ | 304 | — | ~2k | Automated safety check: Pass | MIT | 9 days ago |
| 16 | 16.Export Export analysis results in different formats for different audiences — email summaries, Slack updates, decision briefs, Google Docs with embedded charts, Word documents, slide decks, or raw data CSVs. | ai-analyst-lab/ | 304 | — | ~3.8k | Automated safety check: Pass | MIT | 9 days ago |
| 17 | Create properly formatted Google Docs via the MCP API. An agent skill from ai-analyst-lab/ai-analyst. | ai-analyst-lab/ | 304 | — | ~4.3k | Automated safety check: Pass | MIT | 9 days ago |
| 18 | Record analyst mistakes, fixes, and reusable learnings so future analyses never repeat an error. | ai-analyst-lab/ | 304 | — | ~2.2k | Automated safety check: Pass | MIT | 9 days ago |
| 19 | 19.Metric Spec Define any metric completely with a standardized template: calculation, denominator, time window, filters, interpretation. | ai-analyst-lab/ | 304 | — | ~4.9k | Automated safety check: Pass | MIT | 9 days ago |
| 20 | Publish an approved analysis as a Notion text page through the official hosted MCP. | ai-analyst-lab/ | 304 | — | ~818 | Automated safety check: Pass | MIT | 9 days ago |
| 21 | 21.Pace Change how visibly Claude surfaces analytical work during L3+ analyses. | ai-analyst-lab/ | 304 | — | ~1.4k | Automated safety check: Pass | MIT | 9 days ago |
| 22 | Structure analytical questions with the Question Ladder (Goal, Decision, Metric, Hypothesis), then fill the 7-field Analysis Design Spec, before touching data. | ai-analyst-lab/ | 304 | — | ~3k | Automated safety check: Pass | MIT | 9 days ago |
| 23 | 23.Setup Notion Connect Claude Code to Notion's official hosted MCP, complete OAuth, verify the intended workspace with a read, and stop before any write. | ai-analyst-lab/ | 304 | — | ~883 | Automated safety check: Pass | MIT | 9 days ago |
| 24 | 24.Setup Slack Connect a user's own AI Analyst Lab Slack identity through browser OAuth, store the personal user token locally, verify the workspace and target channel, and prepare one previewed Web API post. | ai-analyst-lab/ | 304 | — | ~829 | Automated safety check: Notes | MIT | 9 days ago |
| 25 | First-time Snowflake setup wizard for the NATIVE ConnectionManager path (the connection the analyst actually queries through, with auto-logged provenance). | ai-analyst-lab/ | 304 | — | ~2k | Automated safety check: Notes | MIT | 9 days ago |
| 26 | Change the active dataset to switch between different data sources for analysis. | ai-analyst-lab/ | 304 | — | ~1.5k | Automated safety check: Pass | MIT | 9 days ago |
| 27 | Show which context the AI analyst would receive for a question, why each item was selected, how it is delivered, and which conflicts, stale items, or omissions need attention. | ai-analyst-lab/ | 304 | — | ~549 | Automated safety check: Pass | MIT | 9 days ago |
| 28 | 28.Setup Run a 4-phase conversational interview that populates the knowledge system from the user's real context. | ai-analyst-lab/ | 304 | — | ~6k | Automated safety check: Pass | MIT | 9 days ago |
| 29 | 29.Analyst Core Operating rules for every data analysis. An agent skill from ai-analyst-lab/ai-analyst. | ai-analyst-lab/ | 304 | — | ~3.2k | Automated safety check: Pass | MIT | 9 days ago |
| 30 | 30.History Browse and search past analyses from the knowledge system's analysis archive. | ai-analyst-lab/ | 304 | — | ~1.2k | Automated safety check: Pass | MIT | 9 days ago |
| 31 | Diagnose a context-related analytical failure, propose the smallest relevant change, compare the same evaluation cases before and after, and produce an accept, revise, or revert receipt. | ai-analyst-lab/ | 304 | — | ~753 | Automated safety check: Pass | MIT | 9 days ago |
| 32 | Initialize session context, resolve the active dataset and context source, load resident instructions, and inventory the context available for question-specific selection. | ai-analyst-lab/ | 304 | — | ~3.4k | Automated safety check: Pass | MIT | 9 days ago |
| 33 | Classify every analytical request (anything about data, metrics, trends, segments, funnels, revenue, retention, experiments, or "why did X change") into complexity levels L1-L5 and route it before… | ai-analyst-lab/ | 304 | — | ~4.1k | Automated safety check: Pass | MIT | 9 days ago |
| 34 | 34.Reliability Run one analytics task through several fresh trials to measure what repeats and what varies. | ai-analyst-lab/ | 304 | — | ~929 | Automated safety check: Pass | MIT | 9 days ago |
| 35 | 35.Run Pipeline Plan and run coordinated analysis using explicit input bindings, isolated workers, run-local artifacts, and the Python workflow controller. | ai-analyst-lab/ | 304 | — | ~1.2k | Automated safety check: Pass | MIT | 9 days ago |
| 36 | 36.Stress Test Pressure-test any analysis plan or investigation design for methodological flaws before execution — wrong baselines, survivorship bias, missing segments, uncontrolled confounds, absent kill criteria. | ai-analyst-lab/ | 304 | — | ~2.9k | Automated safety check: Pass | MIT | 9 days ago |
| 37 | 37.Trace Show the provenance trace, linking every reported number to the SQL that produced it with a confidence badge. | ai-analyst-lab/ | 304 | — | ~851 | Automated safety check: Pass | MIT | 9 days ago |
| 38 | Analyze one decision through independent methods or sources, compare the paths, and reconcile disagreement. | ai-analyst-lab/ | 304 | — | ~642 | Automated safety check: Pass | MIT | 9 days ago |
| 39 | Create or revise a business guide, reviewed query, semantic model, relationship or metric in the configured context store. | ai-analyst-lab/ | 304 | — | ~1.1k | Automated safety check: Pass | MIT | 9 days ago |
| 40 | Apply whenever you generate any chart, graph, or data visualization — from SQL results, in the chart-maker agent, in decks, or on "make a chart / visualize / plot / dashboard" requests. | ai-analyst-lab/ | 304 | — | ~5.5k | Automated safety check: Pass | MIT | 9 days ago |
| 41 | Compare a narrow model grader with frozen human labels and inspect disagreement, bias probes, and repeated scoring stability. | ai-analyst-lab/ | 304 | — | ~390 | Automated safety check: Pass | MIT | 9 days ago |
| 42 | Review evaluation history, distinguish system, data, suite, and evaluator changes, and apply an operating response. | ai-analyst-lab/ | 304 | — | ~306 | Automated safety check: Pass | MIT | 9 days ago |
| 43 | Trace an analytical claim to its receipt, source, query, result, and run evidence. | ai-analyst-lab/ | 304 | — | ~381 | Automated safety check: Pass | MIT | 9 days ago |