ai-analyst-plugin

EMBEDDED — Establishes a clear analysis plan before writing queries. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke analysis-design-spec separately — use ask-question and run-analysis instead, which includes these instructions inline.

EMBEDDED — Retrieves proven SQL patterns and reusable CTEs. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke archaeology separately — use ask-question and run-analysis instead, which includes these instructions inline.

Run the multi-persona planning methodology to produce a master plan for a new project or feature. Triggered when users say "architect", "plan this", "design the system", or invoke `/architect`.

EMBEDDED — Saves completed analysis to the knowledge archive. This functionality is built into the run-analysis skill. Do NOT invoke archive-analysis separately — use run-analysis instead, which includes these instructions inline.

USE THIS SKILL for ANY data question, analytical request, or metric inquiry. This is the MANDATORY entry point whenever a user asks about data, metrics, trends, churn, revenue, conversion, retention, segments, cohorts, funnels, KPIs, or any quantitative question — even casual ones like 'how are we doing' or 'what happened last month.' Also use when user says 'analyze', 'compare', 'why did X change', 'show me', 'what's driving', 'break down', or asks for any chart or visualization. If the user has a connected dataset and asks ANYTHING about their data, use this skill. Do NOT attempt to answer data questions without this skill — it contains critical charting standards, validation steps, and knowledge loading that produce professional-quality outputs.

Interactive browser for your organization's knowledge system. Explore terms, products, metrics, objectives, and team structure. Also crawl Notion workspaces to extract and populate business context. Triggered when users say "/business", "browse business context", "/notion-ingest", or "crawl notion workspace".

EMBEDDED — Ensures recommendations end with a clear follow-up plan. This functionality is built into the run-analysis skill. Do NOT invoke close-the-loop separately — use run-analysis instead, which includes these instructions inline.

Compare metrics, findings, and patterns across two or more connected datasets. Triggered when users say "compare across datasets", "cross-dataset patterns", or invoke `/compare-datasets`.

Triggers on "connect", "add data source", "link database", "/connect-data", "/datasets".

EMBEDDED — Validates data completeness and consistency before analysis. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke data-quality-check separately — use ask-question and run-analysis instead, which includes these instructions inline.

Deep-profile the active dataset to understand schema structure, value distributions, temporal patterns, correlations, completeness gaps, and anomalies. Triggered when users say "profile the data", "deep dive into dataset", or invoke `/deep-profile`.

Define any metric clearly and completely using a standardized template so there is no ambiguity about what is being measured, how it's calculated, or how to interpret it. Triggered when users say "define a metric", "specify metric", or invoke `/define-metric`.

Design a controlled experiment (A/B test, multivariate test, or quasi-experiment) with clear hypothesis, success metrics, sample size, and statistical power. Triggered when users say "design experiment", "A/B test design", "how should we test this", or invoke `/design-experiment`.

USE THIS SKILL when the user wants to explore, browse, preview, or understand their data before asking a specific question. Triggers on 'explore', 'browse data', 'what's in this dataset', 'show me the schema', 'what tables do I have', '/explore', '/data', or any request to look at the data structure, preview rows, check distributions, or understand what's available. Also use when a user just connected a new dataset and wants to see what's there. Do NOT skip this skill for data exploration — it includes quality checks and SWD chart standards that produce professional outputs.

Triggers on "export", "share", "send to Slack", "make a deck", "/export".

EMBEDDED — Detects corrections and learnings from user messages. This functionality is built into the ask-question skill. Do NOT invoke feedback-capture separately — use ask-question instead, which includes these instructions inline.

EMBEDDED — Provides adaptive welcome experience for new users. This functionality is built into the setup skill. Do NOT invoke first-run-welcome separately — use setup instead, which includes these instructions inline.

Generate time-series forecasts for key metrics using statistical methods. Supports naive baselines, seasonality detection, and exponential smoothing. Triggered when users ask "what will revenue look like next month?", "forecast DAU", or invoke `/forecast`.

EMBEDDED — Pairs success metrics with guardrail metrics to check for trade-offs. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke guardrails separately — use ask-question and run-analysis instead, which includes these instructions inline.

Check if npm is available and install Marp CLI globally for presentation generation. Triggered when users say "install marp", "set up presentations", "enable slide generation", or invoke `/install-marp`.

EMBEDDED — Loads knowledge subsystems and dataset context at session start. This functionality is built into the ask-question skill. Do NOT invoke knowledge-bootstrap separately — use ask-question instead, which includes these instructions inline.

Record analyst mistakes and their fixes so future analyses learn from past errors. Manual counterpart to automatic feedback capture. Triggered when users say "log a correction", "that was wrong because", or invoke `/log-correction`.

Browse, inspect, compare, and clean up past pipeline runs. Each run is a self-contained directory with its own working files, outputs, and pipeline state. Triggered when users say "/runs", "list runs", "compare runs", or invoke `/manage-runs`.

EMBEDDED — Discovers recurring patterns across analyses. This functionality is built into the run-analysis skill. Do NOT invoke patterns separately — use run-analysis instead, which includes these instructions inline.

EMBEDDED — Applies consistent theme standards to presentation decks. This functionality is built into the run-analysis skill. Do NOT invoke presentation-themes separately — use run-analysis instead, which includes these instructions inline.

EMBEDDED — Structures analytical questions with decision context and success criteria. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke question-framing separately — use ask-question and run-analysis instead, which includes these instructions inline.

EMBEDDED — Classifies question complexity (L1-L5) and routes to appropriate response path. This functionality is built into the ask-question skill. Do NOT invoke question-router separately — use ask-question instead, which includes these instructions inline.

Resume an interrupted analysis pipeline by reading pipeline state and continuing from the next ready agents. Triggered when users say "/resume-analysis", "continue previous analysis", or "resume the pipeline".

USE THIS SKILL for full end-to-end analytical pipelines, presentation decks, or deep investigations. Triggers when the user says 'run analysis', 'full pipeline', 'end-to-end', 'build me a deck', 'give me the full picture', 'comprehensive analysis', or any request for a polished slide deck with charts. Also use when ask-question classifies a question as L5. This skill orchestrates 18 specialized agents in a DAG pipeline — from framing through charting to a finished Marp deck. Do NOT attempt to build presentations or run multi-agent analysis workflows without this skill.

EMBEDDED — Runs 4-layer validation stack on analysis findings. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke semantic-validation separately — use ask-question and run-analysis instead, which includes these instructions inline.

USE THIS SKILL when a user wants to set up, configure, or get started with the AI Analyst. Triggers on 'set up', 'get started', 'configure', '/setup', 'onboard me', or any first-time setup request. Also use when the user opens a new session and hasn't configured their profile yet — if you detect no .knowledge/ directory or no profile.md, proactively suggest running setup. This skill runs a conversational 4-phase interview that configures the analytical environment: role & expertise, data connection, business context, and output preferences.

Estimate the business impact and financial value of a given opportunity. Invokes the opportunity-sizer agent to break down addressable market, conversion potential, and revenue impact. Triggered when users ask "how much is this worth?", "size the opportunity", "business impact analysis", or invoke `/size-opportunity`.

Adapt analytical findings to the audience — same insight, different framing, detail level, and format depending on who will read it. Triggered when users specify an audience or say "adapt for executives", "prepare for engineering", or invoke `/stakeholder-comms`.

Change the active dataset. Updates the active pointer, validates the target dataset exists, and confirms with a summary. Triggered when users say "switch to dataset", "change dataset", or invoke `/switch-dataset`.

EMBEDDED — Identifies missing data and produces instrumentation requests. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke tracking-gaps separately — use ask-question and run-analysis instead, which includes these instructions inline.

EMBEDDED — Cross-references findings against multiple data sources. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke triangulation separately — use ask-question and run-analysis instead, which includes these instructions inline.

Browse and search past analyses from the analysis archive. Helps users recall what they've analyzed before and find prior findings. Triggered when users say "/history", "what have I analyzed before?", or "show my analysis history".

Triggers on "metrics", "KPIs", "metric dictionary", "/metrics".

EMBEDDED — Ensures charts follow SWD design standards. This functionality is built into the ask-question, explore-data, and run-analysis skill. Do NOT invoke visualization-patterns separately — use ask-question, explore-data, and run-analysis instead, which includes these instructions inline.