Run any Skill in Manus with one click

vibe19-pandas-fdd-rules

Stars15

Forks2

UpdatedJuly 10, 2026 at 17:06

Use when implementing HVAC fault rules in pandas for App 19 with Open-FDD cookbook parity: confirm_fault, poll_seconds, operational gates, ECON free-cool (web weather), VAV fixed flow, CW wet-bulb. Triggers on: FDD, fault, rule, cookbook, confirm_fault, economizer, ECON-3, VAV-7, CW-OPT, OAT-METEO, pandas rule.

Installation

Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.

Run Skill in Manus

Source

bbartling

bbartling/py-bacnet-stacks-playground

View GitHub Repository View Creator Repositories

Download

Run Skill in Manus

Related occupationsSOC

Based on SOC occupation classification

Software DevelopersComputer and Mathematical Occupations·SOC 15-1252

SKILL.md

readonly

name	vibe19-pandas-fdd-rules
description	Use when implementing HVAC fault rules in pandas for App 19 with Open-FDD cookbook parity: confirm_fault, poll_seconds, operational gates, ECON free-cool (web weather), VAV fixed flow, CW wet-bulb. Triggers on: FDD, fault, rule, cookbook, confirm_fault, economizer, ECON-3, VAV-7, CW-OPT, OAT-METEO, pandas rule.

Vibe19 — Pandas FDD rules (Open-FDD parity)

Primary reference

Pandas FDD Cookbook

Also: docs/OPENFDD_PARITY.md · docs/OPERATIONAL_GATES.md

Standard rule pipeline

# 1. raw mask from cookbook
raw = ...  # boolean Series aligned to d.index

# 2. operational gate — AND with active_mask (prefer fan_status over fan_cmd)
#    If gate applied and zero active samples → SKIPPED_EQUIPMENT_OFF

# 3. confirm
confirmed = confirm_fault(raw & active, poll_seconds=p["poll_seconds"])

# 4. rollup hours / pct using **active** samples as denominator when gated

Weather / free cooling

Weather CSV enriched in app/weather_psychrometrics.py → wx_oa_t, wx_oa_rh, wx_oa_dewpoint, wx_oa_wetbulb
ECON-3 (runner.econ3_compute): free cool when web dry-bulb in band (default 35–72°F) AND dewpoint < 60°F (derive from RH if needed); fault when mech cooling with damper closed; optional SAT≈SP (“keeping up”)
OAT-METEO: |oa_t − wx_oa_t| > oat_err (default 5°F, slider)
CW-OPT-1: CW supply colder than wet-bulb + approach (Stull) — replaced WX-2

Notable rule enhancements

ID	Behavior
VAV-7	Under min flow or fixed high flow (low rolling std + high mean) or high `min_flow_sp`
ECON-3	Web OAT + dewpoint free-cool window
CW-OPT-1	Condenser water vs wet-bulb optimization

Reference modules

Module	Role
`app/rules/cookbook_catalog.py`	Canonical 50-rule definitions
`app/rules/runner.py`	Skip / gate / confirm / ECON-3
`app/rules/base.py`	`confirm_fault`, `hours_true`
`app/rules/operational_gate.py`	`RULE_GATES`
`app/role_map.py`	Role aliases + `resolve_role()`

After catalog edits: python scripts/generate_rule_configs.py then pytest.

Tests

Synthetic DataFrames in tests/ — no client CSV in git. Parity script: scripts/csv_parity_check.py --building-folder ….

More from this repository

same repository

vibe19-streamlit-demo

bbartling/py-bacnet-stacks-playground

Use when working on Open FDD Vibe Coder Streamlit FDD demo: streamlit_app.py, 50-rule pandas cookbook, building folder browse, Haystack-like column map JSON, RCx Plots, analytics, occupancy calendar, unit toggle. Triggers on: Streamlit, streamlit_app, BUILDING tree, Haystack points, column map, RCx, 50 rules.

2026-07-1015

vibe19-hvac-data-import

bbartling/py-bacnet-stacks-playground

Use when onboarding HVAC CSV data for App 19: DATA_ROOT layout, manifest.json, grid_minutes, validate_data.py, data_paths.local.yaml, BUILDING_* switching, weather parity, VAV folders. Triggers on: import, CSV tree, manifest, poll interval, HVAC_DATA_ROOT, validate data, new building, sidecar export.

2026-07-1015

vibe19-plotly-dashboard

bbartling/py-bacnet-stacks-playground

Use for Plotly charts in the Streamlit demo: rule fault plots, RCx multi-equipment overlays, box plots, OAT scatters, mech-cooling histograms. Triggers on: Plotly, chart, RCx, zone temps, duct static box, scatter, Streamlit figure.

2026-07-1015

vibe12-ai-commissioning-api

bbartling/py-bacnet-stacks-playground

Use when validating MQTT→cloud telemetry, calling Vibe12 Dashboard Lambda APIs for commissioning status, BRICK time-series refs, points registry, or auth from Codex/Cursor/OpenClaw. Triggers on: commissioning API, cloud_ingest_ok, telemetry flow, brick_timeseries_ref, external_ref, validate_cloud_pipeline, series_flowing, DashboardUrl, Bearer token, demo bens-office.

2026-05-2815

vibe12-ansible-edge

bbartling/py-bacnet-stacks-playground

Use when deploying Vibe12 to Raspberry Pi or gateway via Ansible, vibe12-bacnet-read, points.csv, AWS IoT certs, GPIO DS18B20, or bacnet_pi host vars. Triggers on: ansible deploy, bacnet_pi, read driver, 192.168.204.12, points.csv, enable_bacnet_read_driver.

2026-05-2815

vibe12-agent-runner

bbartling/py-bacnet-stacks-playground

Use when configuring Codex CLI, OpenClaw, or scheduled agent wakes for vibe12_agent_spec. Triggers on: Codex CLI, OpenClaw, agent wake, vibe12_agent_spec, BUILD_CHECKPOINTS, memory bootstrap, cron agent.

2026-05-2515

name	vibe19-pandas-fdd-rules
description	Use when implementing HVAC fault rules in pandas for App 19 with Open-FDD cookbook parity: confirm_fault, poll_seconds, operational gates, ECON free-cool (web weather), VAV fixed flow, CW wet-bulb. Triggers on: FDD, fault, rule, cookbook, confirm_fault, economizer, ECON-3, VAV-7, CW-OPT, OAT-METEO, pandas rule.

Vibe19 — Pandas FDD rules (Open-FDD parity)

Primary reference

Pandas FDD Cookbook

Also: docs/OPENFDD_PARITY.md · docs/OPERATIONAL_GATES.md

Standard rule pipeline

# 1. raw mask from cookbook
raw = ...  # boolean Series aligned to d.index

# 2. operational gate — AND with active_mask (prefer fan_status over fan_cmd)
#    If gate applied and zero active samples → SKIPPED_EQUIPMENT_OFF

# 3. confirm
confirmed = confirm_fault(raw & active, poll_seconds=p["poll_seconds"])

# 4. rollup hours / pct using **active** samples as denominator when gated

Weather / free cooling

Weather CSV enriched in app/weather_psychrometrics.py → wx_oa_t, wx_oa_rh, wx_oa_dewpoint, wx_oa_wetbulb
ECON-3 (runner.econ3_compute): free cool when web dry-bulb in band (default 35–72°F) AND dewpoint < 60°F (derive from RH if needed); fault when mech cooling with damper closed; optional SAT≈SP (“keeping up”)
OAT-METEO: |oa_t − wx_oa_t| > oat_err (default 5°F, slider)
CW-OPT-1: CW supply colder than wet-bulb + approach (Stull) — replaced WX-2

Notable rule enhancements

ID	Behavior
VAV-7	Under min flow or fixed high flow (low rolling std + high mean) or high `min_flow_sp`
ECON-3	Web OAT + dewpoint free-cool window
CW-OPT-1	Condenser water vs wet-bulb optimization

Reference modules

Module	Role
`app/rules/cookbook_catalog.py`	Canonical 50-rule definitions
`app/rules/runner.py`	Skip / gate / confirm / ECON-3
`app/rules/base.py`	`confirm_fault`, `hours_true`
`app/rules/operational_gate.py`	`RULE_GATES`
`app/role_map.py`	Role aliases + `resolve_role()`

After catalog edits: python scripts/generate_rule_configs.py then pytest.

Tests

Synthetic DataFrames in tests/ — no client CSV in git. Parity script: scripts/csv_parity_check.py --building-folder ….