brainqub3

Create and execute scenario YAML files for architecture what-if predictions.

Prepare and run evaluator-gated SAS and MAS experiments with explicit batch control and mandatory elasticity calibration for scenario scaling.

Reset local experiment state to a fresh slate by clearing runs, prediction outputs, scaling snapshots, and database index files under data/.

Create or repair Brainqub3 task packages that must pass evaluator tests before runs, including both fabricated instances and user-provided data workflows.

Build or repair task evaluators and evaluator tests with deterministic-first strategy.

Generate markdown reports with observed metrics, predicted metrics, and architecture recommendations.

Use to open a safe, reviewable pull request from a feature branch into main once a slice is built with red-green-refactor and green. Phase 4 of the TDD harness. It assembles everything a reviewer needs — the feature and slice description, evidence of the…

Use to implement one slice test-first with disciplined double-loop TDD — an outer failing end-to-end or integration test wrapping inner unit-test red, green, refactor cycles, worked outside-in until the acceptance test is green. Phase 2 and the heart of the…

Use once a slice is built and green locally and its unit plus acceptance tests (end-to-end Playwright for web, or integration tests for CLI and API slices) should run automatically in Continuous Integration. Phase 3 of the TDD harness — it detects the stack…

Use whenever the user wants a feature, product, bugfix, or change taken from idea to a reviewable pull request the disciplined test-driven way. This is the red-green-refactor TDD harness orchestrator — it drives the full pipeline (slice into thin vertical…

Use at the START of any new feature, product, bugfix, or change, before writing code, to decompose it into thin vertical slices (each the smallest end-to-end testable behaviour that delivers value) and write a markdown execution plan per slice into the plans/…

Use to safely clean up stale LOCAL feature branches left behind by the TDD harness once their slices have shipped — both merged branches and abandoned (closed-PR) branches. Phase 5 maintenance and the cleanup companion to safe-pr. It reports first, confirms…

Use this skill whenever Claude needs to identify business-related spending inside personal financial statements, build candidate transaction rows, or decide whether transactions are likely business, personal, or need review based on a local trading profile.

Use this skill whenever Claude needs to create a feature branch, commit a batch of repo changes, push it, and open a GitHub PR while preventing financial statements, transaction exports, verification artifacts, or local trading profile files from being staged.

Use this skill whenever candidate transaction rows must be verified against original bank or card statements before export, especially for messy PDF, CSV, XLS, or XLSX statements where deterministic checks and careful fuzzy matching are both needed.

Recursive Language Model (RLM) loop for processing a context that is too large to read into the conversation directly. Loads the context as a variable in a persistent Python REPL and answers the query by writing code that probes, chunks, and programmatically…

Recursive Language Model (RLM) loop for processing a context that is too large to read into the conversation directly. Loads the context as a variable in a persistent Python REPL and answers the query by writing code that probes, chunks, and programmatically…

Recursive Language Model (RLM) loop for processing a context that is too large to read into the conversation directly. Loads the context as a variable in a persistent Python REPL and answers the query by writing code that probes, chunks, and programmatically…

Sync leads from Zoho CRM into the local SQLite database. Fetches all leads, performs upserts with change detection, and maintains full audit history.

Safely write and link knowledge to the kb/** directory. Use when storing customer insights, patterns, or durable knowledge extracted from meetings, CRM, or research.

Extract all Conditions to Closing from a merger agreement using Playwright browser automation. Use when asked to identify closing conditions, conditions precedent, or obligations to close from merger agreements. Requires direct URL to contract document (no…

Extract H1 2025 and H2 2024 financial data from any listed company's investor relations website using Playwright browser automation. Use when asked to get half-year financials, interim results, semi-annual reports, or compare H1/H2 periods for publicly traded…

Recursive Language Model (RLM) loop for processing a context that is too large to read into the conversation directly. Loads the context as a variable in a persistent Python REPL and answers the query by writing code that probes, chunks, and programmatically…

Use this skill whenever the user asks to understand, map, audit, reverse-engineer, document, or reason about the architecture of an existing codebase, especially a vibe-coded, prototype, legacy, inherited, or poorly documented repo. This skill guides an agent…

Read, search, summarize, quote, and extract tables from existing PDF files without loading the whole file into context. Use whenever the user wants to read, summarize, search, analyze, or ask questions about a PDF — especially long, large, scanned, or…