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 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.

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 landing pages). Uses ONLY Playwright tools (no fetch/curl). Handles PDF and HTML documents, creates comprehensive audit trails with screenshots and CSV outputs. Includes granular R&W categorization and cross-referencing. (project)

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 companies. Handles cookie consent, navigation to IR sections, and derives H2 data from FY minus H1 when no standalone H2 report exists.

Run a Recursive Language Model-style loop for long-context tasks. Uses a persistent local Python REPL and an rlm-subcall subagent as the sub-LLM (llm_query).