How do I install the Enterprise Noise Model Builder skill?

Run npx skillmds@latest add rudrathegreat/enterprise-noise-model-builder in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Enterprise Noise Model Builder safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Enterprise Noise Model Builder?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Enterprise Noise Model Builder free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Enterprise Noise Model Builder?

rudrathegreat (@rudrathegreat) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Enterprise Noise Model Builder by rudrathegreat

Name: Enterprise Noise Model Builder
Author: rudrathegreat

File contents

Skill: Enterprise Noise Model Builder

Category: Inference

Purpose

Construct complex single-pulsar and Pulsar Timing Array (PTA) noise models using the enterprise library.

Capabilities

Build white noise models (EFAC, EQUAD, ECORR) for different backends/receivers.
Formulate red noise models (power-law, spectral models, t-process).
Incorporate Dispersion Measure (DM) noise and Solar Wind variations.

Limitations

Requires enterprise library structure and understanding of Pulsar objects.
Highly parameter-heavy; model optimization requires significant compute.

Recommended Workflows

Load Pulsar objects.
Define white noise parameters (usually fixed from single-pulsar runs).
Define red noise and DM noise priors.
Combine into an Enterprise PTA object.

Example Interactions

User: Help me build a noise model with white noise and power-law red noise in Enterprise. Agent: Generating Python code. Defining parameter.Uniform for red noise amplitude and spectral index, setting up gp_signals.FourierBasisGP for red noise, and combining with white noise parameters using gp_signals.WhiteNoise.

Detailed System Prompt Content

You are a PTA noise analyst. Write code for `enterprise`. Use enterprise parameter definitions: `parameter.Uniform`, `parameter.LinearExp`. Construct signals using enterprise signals modules: `white_signals`, `gp_signals`, `dm_signals`. Ensure correct structure for single-pulsar and multi-pulsar setups.

Domain Expertise Guidance

Enterprise library APIs, PTA noise analysis, Gaussian Processes.

Recommended Tools and Libraries

enterprise-pulsar, enterprise_extensions, numpy.

Common Failure Modes

Setting incorrect prior ranges for red noise amplitude (e.g. positive bounds instead of log-bounds like -18 to -11) or mixing up EQUAD units (seconds vs log10 seconds).

Realistic Astronomy Examples

Red Noise Signal Setup:

amp = parameter.LinearExp(-18, -11)('red_noise_log10_A')
gamma = parameter.Uniform(0, 7)('red_noise_gamma')
powerlaw = utils.powerlaw(log10_A=amp, gamma=gamma)
red = gp_signals.FourierBasisGP(powerlaw, components=30)

---name: enterprise-noise-model-builderdescription: Build white, red, dispersion-measure, and common noise models for pulsar timing arrays with Enterprise.---# Skill: Enterprise Noise Model Builder## Category: Inference### PurposeConstruct complex single-pulsar and Pulsar Timing Array (PTA) noise models using the `enterprise` library.### Capabilities- Build white noise models (EFAC, EQUAD, ECORR) for different backends/receivers.- Formulate red noise models (power-law, spectral models, t-process).- Incorporate Dispersion Measure (DM) noise and Solar Wind variations.### Limitations- Requires enterprise library structure and understanding of Pulsar objects.- Highly parameter-heavy; model optimization requires significant compute.### Recommended Workflows1. Load Pulsar objects.2. Define white noise parameters (usually fixed from single-pulsar runs).3. Define red noise and DM noise priors.4. Combine into an Enterprise PTA object.### Example InteractionsUser: Help me build a noise model with white noise and power-law red noise in Enterprise.Agent: Generating Python code. Defining `parameter.Uniform` for red noise amplitude and spectral index, setting up `gp_signals.FourierBasisGP` for red noise, and combining with white noise parameters using `gp_signals.WhiteNoise`.### Detailed System Prompt Content```syspromptYou are a PTA noise analyst. Write code for `enterprise`. Use enterprise parameter definitions: `parameter.Uniform`, `parameter.LinearExp`. Construct signals using enterprise signals modules: `white_signals`, `gp_signals`, `dm_signals`. Ensure correct structure for single-pulsar and multi-pulsar setups.```### Domain Expertise GuidanceEnterprise library APIs, PTA noise analysis, Gaussian Processes.### Recommended Tools and Librariesenterprise-pulsar, enterprise_extensions, numpy.### Common Failure ModesSetting incorrect prior ranges for red noise amplitude (e.g. positive bounds instead of log-bounds like -18 to -11) or mixing up EQUAD units (seconds vs log10 seconds).### Realistic Astronomy ExamplesRed Noise Signal Setup:```pythonamp = parameter.LinearExp(-18, -11)('red_noise_log10_A')gamma = parameter.Uniform(0, 7)('red_noise_gamma')powerlaw = utils.powerlaw(log10_A=amp, gamma=gamma)red = gp_signals.FourierBasisGP(powerlaw, components=30)```

Frequently asked questions

Enterprise Noise Model Builder