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patronus-ai

Official

@patronus-ai

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35Public Repos
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45Published Skills

Offers specialized technical frameworks for enterprise model evaluation, financial modeling, clinical data validation, and structured document generation.

Skills Distribution
DomainAI Models & ...Model Evaluation &.. (40%)Enterprise Data & .. (30%)Clinical & Regulat.. (30%)

Agent Skills by patronus-ai

Showing 45 vetted skills indexed across 1 GitHub repositories.

patronus-aipatronus-ai
2

python-code

Create and maintain Python projects with virtual environments, packaging, and SQLite.

Official
Advanced
patronus-aipatronus-ai
2

creating-financial-models

Project free cash flows and discount them to enterprise value using WACC.

Official
Advanced
patronus-aipatronus-ai
2

risk-metrics-calculation

Calculate portfolio risk metrics from returns data.

Official
Advanced
patronus-aipatronus-ai
2

template-skill

Creates LLM agent skill files with YAML frontmatter and Markdown instructions.

Official
Basic
patronus-aipatronus-ai
2

email-api

Manage email accounts via REST API with authenticated CLI scripts.

Official
Intermediate
patronus-aipatronus-ai
2

rag-implementation

Build RAG systems using vector databases and semantic search.

Official
Intermediate
patronus-aipatronus-ai
2

discord

Send Discord messages, reactions, polls, and moderation actions via JSON.

Official
Advanced
patronus-aipatronus-ai
2

google-calendar-skill

Manages Google Calendar data via Node.js CLI scripts and the Calendar API.

Official
Intermediate
patronus-aipatronus-ai
2

calendar

Create, update, and delete calendar events with timezone-aware scheduling and recurring RRULEs.

Official
Intermediate
patronus-aipatronus-ai
2

llm-evaluation

Compute automated metrics and aggregate scores for LLM evaluation suites.

Official
Advanced
patronus-aipatronus-ai
2

data-storytelling

Transform raw analytics into structured data narratives with hooks, insights, and recommendations.

Official
Basic
patronus-aipatronus-ai
2

bats-testing-patterns

Generate Bats test suites with setup/teardown, fixtures, and assertions.

Official
Intermediate
patronus-aipatronus-ai
2

analyzing-financial-statements

Calculate financial ratios and investment metrics from financial statements.

Official
Intermediate
patronus-aipatronus-ai
2

prompt-engineering-patterns

Apply prompt engineering patterns to improve LLM output reliability.

Official
Advanced
patronus-aipatronus-ai
2

model-trainer

Submit TRL training jobs on Hugging Face Jobs with hf_jobs().

Official
Advanced
patronus-aipatronus-ai
2

stripe-integration

Implement Stripe checkout, subscriptions, and webhook event handling.

Official
Advanced
patronus-aipatronus-ai
2

hugging-face-dataset-creator

Automate Hugging Face dataset creation and JSONL row streaming.

Official
Intermediate
patronus-aipatronus-ai
2

code-review

Review Python code for style violations, bugs, and security issues.

Official
Intermediate
patronus-aipatronus-ai
2

safety-protocol

Enforce secure and ethical coding agent behavior with permitted and prohibited actions.

Official
Intermediate
patronus-aipatronus-ai
2

mcp

Create and validate MCP servers and tools for LLM agents.

Official
Advanced
patronus-aipatronus-ai
2

debugging-strategies

Guide systematic bug identification using a reproduce-to-verify workflow.

Official
Advanced
patronus-aipatronus-ai
2

write-unit-tests

Write Vitest unit and integration tests for the tldraw SDK using TestEditor patterns.

Official
Intermediate
patronus-aipatronus-ai
2

internal-comms

Create formatted internal communications using company-style templates.

Official
Basic
patronus-aipatronus-ai
2

skill-creator

Design and package Gemini CLI skill files with SKILL.md metadata.

Official
Intermediate

Frequently Asked Questions About patronus-ai

FAQPage Schema
What specific tasks can I perform using these evaluation skills?

You can compute automated performance metrics for model suites, validate HL7 FHIR R4 REST endpoints, and perform systematic financial ratio analysis. These capabilities allow for rigorous testing of model outputs and structured data validation against regulatory or financial standards.

Which technical personas benefit most from these capabilities?

These skills are designed for machine learning engineers, clinical data developers, and financial analysts. The registry provides specific patterns for model card indexing, regulatory document generation, and complex database migration strategies required in high-stakes enterprise environments.

What are the primary prerequisites for implementing these evaluation patterns?

Implementation requires a foundational environment capable of executing structured data processing and RESTful service validation. Users must have access to the relevant data sources, such as financial statements, clinical trial metadata, or model-index YAML configurations, to populate the required input parameters.