AI Analyst Plus: the full analyst skill system as a Claude Cowork plugin. Decision framing, profiling, validated analysis, and a memory that learns your corrections.
ai-analyst-lab/ai-analyst-plugin
Agent
Execute the selected causal inference method on data using the causal skill's bundled causalstats package. Produces point estimates, confidence intervals, and diagnostic charts.
ai-analyst-lab/ai-analyst-plugin
Agent
Per-method diagnostic battery that checks whether the assumptions required for the selected causal method hold in the data.
ai-analyst-lab/ai-analyst-plugin
Agent
Interactive decision tree for selecting the right causal inference method based on data availability, study design, and assumptions.
ai-analyst-lab/ai-analyst-plugin
Agent
Generate a complete causal inference report with mandatory sections including method choice, results, assumption checks, sensitivity analysis, confidence assessment, and non-negotiable caveats.
ai-analyst-lab/ai-analyst-plugin
Agent
Sensitivity analysis for observational causal estimates — Rosenbaum bounds, E-values, and placebo tests to assess robustness to unmeasured confounding.
ai-analyst-lab/ai-analyst-plugin
Agent
Adversarial agent that finds threats to analytical validity — concurrent changes, data quality issues, selection biases, and measurement artifacts that could invalidate an analysis.
ai-analyst-lab/ai-analyst-plugin
Agent
Full experiment analysis workflow — from data loading through SRM validation, treatment effects, segment analysis, novelty checks, guardrail evaluation, and nuanced ship/kill/iterate recommendation.
ai-analyst-lab/ai-analyst-plugin
Agent
Design experiments or quasi-experimental analyses to test causal hypotheses, including power estimation, guardrail selection, and pre-registered decision rules.
ai-analyst-lab/ai-analyst-plugin
Agent
Walk the Result Interpretation Tree to classify experiment outcomes as Ship/Abort/Learn/Invalid using Spotify's EwL framework. References pre-registered decision rules from experiment.yaml.
ai-analyst-lab/ai-analyst-plugin
Agent
Daily monitoring for running experiments — SRM trending, guardrail status, sample accumulation tracking, and power projection. Uses coded helpers from experimentstats.
ai-analyst-lab/ai-analyst-plugin
Agent
Transform experiment analysis results into a stakeholder-ready readout with executive summary, visualizations, per-segment decisions, ramp plan, and follow-up experiment proposals.
ai-analyst-lab/ai-analyst-plugin
Agent
Takes V1 analysis findings and messy stakeholder feedback (comments, meeting transcripts, Slack threads), categorizes the feedback, identifies what V1 got right vs. wrong, and produces a structured V2 investigation plan with a stakeholder answer map.
ai-analyst-lab/ai-analyst-plugin
Agent
Takes a vague analytical hunch and transforms it into a testable hypothesis with precise metrics, comparison groups, key segments, natural experiments, and accept/reject criteria.