AI & ML

understudylabs Skill

Compatibility shim for Codex installs. Use when a developer asks to install, update, enable, reinstall, remove, or verify the Understudy Codex plugin - "install Understudy in Codex", "add the Codex plugin", "make Codex see the skills". Route to install-agent-adapter with platform codex.

understudylabs Bundle

Use when a developer wants to install, enable, update, reinstall, remove, or verify Understudy in a coding agent - "install Understudy", "add the Understudy skills", "make Claude/Cursor/Codex/OpenCode/Hermes/Devin see the skills". Chooses the requested agent platform and routes to the local install, reload, onboarding, and uninstall steps.

understudylabs Skill

Compatibility shim for Cursor installs. Use when a developer asks to install, update, enable, reinstall, remove, or verify the Understudy Cursor plugin - "install Understudy in Cursor", "add the Cursor plugin", "make Cursor see the skills". Route to install-agent-adapter with platform cursor.

understudylabs Bundle

Use when a coding agent must operate the full benchmark lifecycle over local benchmark dirs — "build a benchmark from my traces and run models on it", "review and calibrate the eval", "queue a prompt experiment", "is an executor running", "read the rigor report". Covers traces → build-benchmark → review/feedback → calibration floors → candidate and prompt-override runs → rigor/CI reading → app-replay regression, via the benchmarks MCP server or CLI verbs, plus the run-executor daemon lifecycle.

understudylabs Bundle

Use to give a developer an immediate local-vs-frontier model comparison before they have their own traces — "what can a local model do", "is a small model good enough", "compare a local model to a frontier model", "the onboarding climb". For comparing many models on a user's own eval, use compare-model-sweep; to serve a local model, use run-local-model-lab.

understudylabs Bundle

Use as the engaging first-run experience right after the Understudy plugin is installed, or whenever a developer says "get started", "set me up", "I'm new to this", "onboard me", or asks what Understudy is and where to begin. Backgrounds a small open-model download while it profiles the machine, detects ML tooling, interviews the user to gauge experience and goals, and writes a durable ~/.understudy/profile.json so every later skill can meet the user where they are. Hands off to the understudy orchestrator.

understudylabs Bundle

Use when a developer's LLM app is running but has NO traces yet and wants capture flowing in about a minute with no code changes — "instrument my app", "start capturing my LLM calls", "I have no traces, get me some", "turn on tracing for my agent". Detects the provider SDK, redirects it through the Understudy gateway (capture on by default) via env vars, verifies a capture actually landed, then hands off to ingest-traces.

understudylabs Bundle

Use when a developer wants an always-on ops watcher over logs, command output, or endpoints — "every five minutes look at my logs and tell me what's wrong", "watch this log file and flag anomalies", "review my events on a schedule without burning tokens". Deterministic hash-gated triggers fire a cheap model review only on change, and every review is captured as an eval row for a future fine-tune.

understudylabs Bundle

Use when a developer wants to fine-tune or distill a local open model on their Mac and see which training method actually moves a captured workload — "fine-tune a local model", "distill the frontier into a small model", "would training close the gap". Compares baseline, rejection-sampled fine-tuning, distillation, and surprisal-gated pedagogical arms; includes learning from privileged answers/feedback.

understudylabs Bundle

Use when a developer wants to run inference or evals through the Understudy gateway — "route my app through Understudy", "set up my account and keys", "A/B a model on part of my traffic" — or must choose between local provider keys and the gateway route ("should I use my OpenAI key or the gateway"). Handles login, projects/keys, model routing, and runs.

understudylabs Skill

Compatibility shim for OpenCode installs. Use when a developer asks to install, update, enable, reinstall, remove, or verify Understudy in OpenCode - "install Understudy in OpenCode", "add the OpenCode skills", "make OpenCode see the skills". Route to install-agent-adapter with platform opencode.

understudylabs Bundle

Use when a workload must learn multi-step behavior through hosted reinforcement-learning (RL) training that local optimization cannot deliver, and needs to become partner-ready. "My agent needs RL", "can we train this policy", "package my environment for a training partner", "is this workload ready for RL". Decides first, then authors the trainable environment, then packages it — never trains here.

understudylabs Bundle

Use when a developer wants a small or local model to take over an agentic task a frontier model one-shots — "can a small model do this whole case", "the prompt is too big for the small model", "hill-climb the local model on this task". Decomposes the task into bounded, flat-context steps behind the same call contract; includes the training path.

understudylabs Bundle

Use when a developer's agent — a multi-turn tool-calling loop — should get cheaper, faster, or better. "My agent is too slow", "this workflow costs too much", "test a cheaper model in my tool-calling loop", "A/B the policy model". Covers read-only search loops and state-mutating API workflows alike.

understudylabs Bundle

Use to build a simulated, seeded environment (AutomationBench / verifiers style) so any model can run a captured agentic workload end-to-end and be scored on final state — "simulate this workload's tools", "build a validator for these traces", "let a small model attempt the whole task", "score recall/precision against gold", or any handoff from understand-workload toward whole-case model comparison.

understudylabs Bundle

Use when a developer needs to compress a local model for tool-calling workloads — "which quantization should I use", "why does my model emit broken JSON", "how do I get better tool-call fidelity from a 4-bit model", "OptiQ vs QAT vs naive", "the model stopped calling tools after quantization". Covers layer-aware sensitivity-driven compression, QAT group-size matching, and outcome-optimized calibration for structured output.

insightfulanalytics Bundle

Tabular Editor documentation search and configuration file guidance (.tmuo, Preferences.json, UiPreferences.json, Layouts.json). Automatically invoke when the user asks about "TE docs", "Tabular Editor features", "TE3 preferences", ".tmuo files", "workspace database settings", "DAX editor settings", "per-model TE3 configuration", or needs to search Tabular Editor documentation for how-to guidance.

insightfulanalytics Bundle

TOM and ADOMD.NET guidance via PowerShell for connecting to Power BI Desktop's local Analysis Services instance. Covers model enumeration, DAX queries, metadata modification, annotations, calendar definitions, field parameters, query tracing, DAX library package management (daxlib.org), and the Desktop Bridge for reloading and screenshotting the report canvas. Automatically invoke when the user mentions "Power BI Desktop", "Analysis Services port", "TOM", "ADOMD", "daxlib", "DAX library", "DAX UDF package", or asks to "connect to PBI Desktop", "query PBI Desktop with DAX", "modify PBI Desktop model", "add a measure to PBI", "capture visual queries", "create a field parameter", "validate DAX", "intercept DAX queries", "install daxlib", "add DAX SVG", "add IBCS", "reload the report canvas", "screenshot a report page", "Desktop Bridge", or to work with the model and report in Power BI Desktop together.

letsloose501 Skill

Rewrites a rough prompt into one that states the task, the constraints and the acceptance criteria. Use when the user asks to sharpen a prompt, when a request comes back with the wrong shape of answer, or when a prompt has to be reused across sessions. Do not use for optimising code, tuning query performance or profiling a slow endpoint.

insightfulanalytics Bundle

Drop a complete, ready-to-use date dimension into a PBIP semantic model -- an extended DimDate table (58 columns; calendar, ISO week, fiscal, and to-date flags) built by a bundled Power Query function, plus the "Dates Selected" DAX measure that renders the current date selection as a report title. Automatically invoke when the user asks to "add a date table", "add a calendar table", "create DimDate", "set up a date dimension", "add my standard date table", "mark as date table", "add a fiscal calendar", or wants a title measure showing the selected date period.

letsloose501 Bundle

Teaches which shell commands must never reach an agent unreviewed. Use when reviewing a script before running it, when a command looks destructive, or when the user asks what makes an instruction dangerous.

insightfulanalytics Bundle

This skill should be used whenever the user mentions "pbir", "pbir-cli", "Power BI reports", or "PBI reports", works with .pbir, .pbip, or .pbix files, or wants to refresh, screenshot, or visually verify a report that is open in Power BI Desktop. Covers creating, exploring, formatting, validating, and publishing Power BI reports through the pbir CLI and object model, plus driving Power BI Desktop (canvas reload, page screenshots) and querying connected or local semantic models.

insightfulanalytics Bundle

Author, validate, and test Power Query M expressions in semantic model partitions. Automatically invoke when the user mentions "Power Query", "M code", "M expression", "partition expression", "query folding", or asks to "write Power Query", "fix Power Query", "test a partition", "preview partition data", "debug Power Query step", "optimize Power Query".

scriptedalchemy Bundle

Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart". Multiple LLM reviewers challenge changes from independent angles.

insightfulanalytics Skill

Suggest BPA rules based on a description or model analysis. Use when creating new Best Practice Analyzer rules for Tabular Editor, or when the user asks to generate, draft, or propose a BPA rule.

insightfulanalytics Skill

Review project context and agent configuration files (AGENTS.md, CLAUDE.md, memory files, skills, and others) to provide feedback and identify opportunities for improvement. Use when the user asks to audit, review, or improve their agent context, instructions, or memory files.

insightfulanalytics Bundle

Screenshot what is actually on a Windows screen, the whole virtual desktop or one window located by title, and save a PNG the agent can Read. Use whenever you need to SEE a GUI, such as Power BI Desktop, a dialog, a driver or display symptom, or a browser. Use especially when `pbir desktop screenshot` or the connect-pbid Desktop Bridge is unavailable because the "Enable external tool access to Power BI Desktop through secure local APIs" preview is off. Triggers include "what's on screen", "screenshot Power BI", "look at my screen", "can you see the dialog", "screenshot that window".

insightfulanalytics Bundle

This skill should be used whenever the user mentions a "semantic model", "data model", or "dataset", or asks to "build", "model", "design", "optimize", "review", or "audit" one, or to "add a measure", "add a relationship", "create a role" / "set up RLS", "add a calculation group", "set up incremental refresh", "fix a star schema", "reduce model size", "prepare a model for Copilot / AI", or "check model quality". Covers the full lifecycle (design, build, refresh, review) and drives every operation through the `te` CLI first, then TOM (connect-pbid) or a model MCP, then TMDL authoring (the tmdl skill). Not for report visuals (use pbir-cli) or isolated DAX query tuning (use the dax skill).

insightfulanalytics Bundle

Diagnose a slow financial matrix before fixing it: separate row-dispatch cost from the per-cell format-string and conditional-formatting tax, then choose with the user between a bridge-table model fix, a native restructure, or a Deneb grid. Use whenever a P&L or financial matrix is slow or unrenderable ("the matrix takes 10 seconds", "slow P&L visual", "my SWITCH dispatch measure is slow", "calculation group on rows is slow", "Performance Analyzer is much higher than the DAX time", "the matrix errors in the Service"). Deneb is one of three outcomes, never the assumed one. Vega spec authoring lives in custom-visuals:deneb-visuals and spec round-tripping in custom-visuals:deneb-pbir.

insightfulanalytics Bundle

Trace relationships between semantic models and downstream reports across Fabric workspaces. Automatically invoke when the user asks to "find downstream reports", "show report lineage", "impact analysis", "what depends on this dataset", "cross-workspace lineage", "which reports are connected", "get model dependencies", or mentions model-to-report dependency tracing.

insightfulanalytics Bundle

Writing and executing C# scripts and macros against Power BI semantic models using Tabular Editor 2/3. Automatically invoke when the user mentions "C# script", "Tabular Editor script", "TOM scripting", "MacroActions.json", "XMLA", or asks to "automate model changes", "bulk update measures", "create calculation groups", "write a macro", "format DAX expressions", "manage model metadata".

scriptedalchemy Bundle

poteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work. Use for poteto, $poteto-mode, or requests to work in this style.

scriptedalchemy Skill

Configure the Codex models and reasoning efforts pstack uses for delegation roles. Use for setup-pstack, pstack model configuration, or changing pstack's budget.

scriptedalchemy Bundle

Apply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files. Encode the domain in a structure instead of scattered conditionals.

scriptedalchemy Skill

Configure Benny and prepare its triage and repro automations. Use when installing Benny or changing its Slack, tracker, repository, routing, control, model, or budget settings.

insightfulanalytics Bundle

Power BI custom visual (.pbiviz) development with the pbiviz toolchain and its MCP server. Automatically invoke when the user mentions "custom visual", "pbiviz", "develop a Power BI visual", "powerbi-visuals-tools", "IVisual", "capabilities.json", "visual formatting model", "visual certification", "publish a visual to AppSource", or asks to scaffold, build, debug, package, certify, or publish a .pbiviz developer visual.