py-review-orchestrator — bioactivity py-review-orchestrator, BioactivityDataAcquisition, community, bioactivity, ide skills, chembl, cheminformatics, data-pipeline, data-quality, delta-lake, Claude Code

v1.0.0
GitHub

About this Skill

Perfect for AI Agents needing advanced workflow orchestration and bioactivity data processing capabilities. BioETL is a data processing framework for acquiring, normalizing, and validating bioactivity-related datasets from multiple external sources.

# Core Topics

SatoryKono SatoryKono
[0]
[0]
Updated: 3/4/2026

Agent Capability Analysis

The py-review-orchestrator skill by SatoryKono is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for bioactivity, chembl, cheminformatics.

Ideal Agent Persona

Perfect for AI Agents needing advanced workflow orchestration and bioactivity data processing capabilities.

Core Value

Empowers agents to execute hierarchical review orchestration, respecting sector dependencies, and leveraging BioETL for data processing, acquisition, and validation of bioactivity-related datasets from multiple external sources using markdown profiles.

Capabilities Granted for py-review-orchestrator

Automating role-specific workflows as defined in the py-review-orchestrator profile
Executing Wave 1 and Wave 2 review orchestration with sector dependency respect
Aggregating and validating bioactivity data from multiple external sources

! Prerequisites & Limits

  • Requires access to markdown profiles (e.g., py-review-orchestrator.md, ORCHESTRATION.md, agent-memory.md)
  • Dependent on BioETL framework for data processing
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

py-review-orchestrator

BioETL is a data processing framework for acquiring, normalizing, and validating bioactivity-related datasets from multiple external sources.

SKILL.md
Readonly

py-review-orchestrator

Objective

Run the role-specific workflow as defined in the py-review-orchestrator profile.

Source Of Truth

  • Primary profile: ../../agents/py-review-orchestrator.md
  • Team orchestration: ../../agents/ORCHESTRATION.md
  • Shared project context: ../../../.ai/memory/agent-memory.md

Workflow

  1. Open and follow ../../agents/py-review-orchestrator.md.
  2. Execute hierarchical review orchestration (Wave 1, then Wave 2) and respect sector dependencies.
  3. Aggregate sector reports into reports/review/FINAL-REVIEW.md with complete critical/high issue rollup.
  4. Keep scoring and status thresholds aligned with the profile and BioETL rules.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is py-review-orchestrator?

Perfect for AI Agents needing advanced workflow orchestration and bioactivity data processing capabilities. BioETL is a data processing framework for acquiring, normalizing, and validating bioactivity-related datasets from multiple external sources.

How do I install py-review-orchestrator?

Run the command: npx killer-skills add SatoryKono/BioactivityDataAcquisition/py-review-orchestrator. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for py-review-orchestrator?

Key use cases include: Automating role-specific workflows as defined in the py-review-orchestrator profile, Executing Wave 1 and Wave 2 review orchestration with sector dependency respect, Aggregating and validating bioactivity data from multiple external sources.

Which IDEs are compatible with py-review-orchestrator?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for py-review-orchestrator?

Requires access to markdown profiles (e.g., py-review-orchestrator.md, ORCHESTRATION.md, agent-memory.md). Dependent on BioETL framework for data processing.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add SatoryKono/BioactivityDataAcquisition/py-review-orchestrator. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use py-review-orchestrator immediately in the current project.

Related Skills

Looking for an alternative to py-review-orchestrator or another community skill for your workflow? Explore these related open-source skills.

View All

widget-generator

Logo of f
f

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

149.6k
0
AI

flags

Logo of vercel
vercel

flags is a Next.js feature management skill that enables developers to efficiently add or modify framework feature flags, streamlining React application development.

138.4k
0
Browser

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
AI

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
AI