bbartling

Calibrate an existing-building EnergyPlus model against measured energy and operational evidence using auditable Guideline-14-style scorecards.

Build or modify a defensible EnergyPlus seed model from building evidence, including geometry, schedules, HVAC mapping, and controlled IDF changes.

Route shared EnergyPlus work to the right intake, authoring, calibration, tariff, results, or DSM procedure.

Create a source-traceable, privacy-aware building profile before EnergyPlus modeling, calibration, or control studies.

Acquire and retain public building datasets reproducibly, with source hashes, safe extraction, and a strict raw-versus-derived boundary.

Define reproducible demand-side-management comparisons with frozen baselines, controls, comfort constraints, weather, and tariff semantics.

Evaluate Energy Conservation Measures and controls upgrades as individual, traceable interventions before portfolio ranking or savings claims.

Translate energy-model or measured results into transparent energy, demand, carbon, payback, and tariff-aware economics.

Use when editing rule cookbooks, parity matrix, or cookbook CI (cookbook-parity.yml, cookbook_parity_check.py). Triggers on: pandas cookbook, SQL cookbook, parity-matrix, gap-matrix, rule headings.

Use when installing, authenticating, linking, or re-pinning the Open-FDD Railway hub (central/mqtt/web) via the Railway CLI on bensbench. Triggers on: railway CLI, RAILWAY_TOKEN, railway login, railway link, railway redeploy, Railway re-pin,…

Maintain the Open-FDD React product SPA (frontend/web → openfdd-web). Use when editing Overview, Inspect, FDD Plots, RCx, Mapping, Operations, Sites, auth UI, health matrices, or client Plotly charts against central /api (DataFusion).

Use when pulling, rebuilding, or verifying Open-FDD GHCR stack images. Test channel is nightly. Triggers on: nightly, openfdd-central, openfdd-web, GHCR, openfdd_stack_up, OPENFDD_IMAGE_TAG.

Author an openfdd_package_v1 zip for any BAS job: equipType, Haystack points to SQL roles, weather sidecar, motor vs compressor vs valve. Triggers on package zip, column_map, mapping, empty Overview / RCx / Inspect charts, missing roles, haystack sidecar.

Use when enforcing Open-FDD product boundaries: production DataFusion SQL vs pandas oracle, vibe19/vibe20 ownership, dual cookbooks, edge/os never-delete, ownership.yaml, forbidden imports. Triggers on: architecture, ownership, pandas fallback, cookbook…

Use when changing open-fdd PyPI pandas oracle libraries: open_fdd.rules, analytics, reporting, extras oracle/vibe19/reporting, wheel publish, consumer pins. Triggers on: PyPI, open-fdd package, rules runner, analytics.core, reporting, oracle extra, 4.1.x.

Use when working on production DataFusion SQL FDD: sql_rules registry, central /api/fdd/run, parity with pandas oracle, no pandas in central. Triggers on: sql_rules, DataFusion, registry.yaml, FDD engine, SQL cookbook.

Inspect, decode, encode, compare, and safely modify Geometry Dash GDShare .gmd files while preserving unknown metadata and object properties.

Plan and coordinate a complete Geometry Dash level or major refactor from a GDShare file, balancing gameplay, difficulty, visuals, animation, music sync, performance, and validation.

Validate Geometry Dash GDShare level structure, gameplay, readability, difficulty consistency, trigger lifecycles, and performance before release.

Build maintainable Geometry Dash visual and animation systems using groups, layers, pulses, movement, spawn chains, cameras, gradients, and keyframes without harming gameplay readability.

Design or refactor playable Geometry Dash layouts with mode-aware spacing, readable transitions, musical pacing, and evidence-based difficulty progression.