optimization-workflow-orchestrator

Automate three-phase performance optimization workflows for Truffle-based code.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/antonykamp/cc-truffle-performance-plugin --skill optimization-workflow-orchestrator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: optimization-workflow-orchestrator
Source: https://github.com/antonykamp/cc-truffle-performance-plugin/tree/main/skills/optimization-workflow-orchestrator
Command: npx skills add https://github.com/antonykamp/cc-truffle-performance-plugin --skill optimization-workflow-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates and automates end-to-end performance optimization for Truffle-based code by managing a three-phase workflow: baseline, investigation, and implementation, along with state transitions and severity-tiered iteration.

Core Features & Use Cases

  • Establishes a performance baseline (PHASE 1) to quantify current behavior
  • Performs broad performance investigations (PHASE 2) to generate credible theories for the current tier
  • Applies fixes iteratively (PHASE 3) and validates improvements, auto-progressing through tiers as needed
  • Integrates theory tracking and phase skills to streamline end-to-end optimization

Quick Start

Initiate the orchestrator to run baseline, investigation, and implementation phases, with automatic tier progression.

Frequently Asked Questions about optimization-workflow-orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate performance optimization workflows for Truffle language implementations?

Automate Truffle performance optimization by initiating an orchestrator that coordinates baseline establishment, investigation, and incremental fix implementation across severity tiers. It manages state transitions and orchestrates phase skill calls to drive end-to-end workflows.

What is the best way to profile GraalVM Truffle code and generate optimization theories?

Profile GraalVM Truffle code by running a broad performance investigation phase that generates credible theories for the current severity tier. The orchestrator uses benchmark baselines and theory files to detect state and guide transitions.

How do I establish a performance baseline for Truffle-based code before applying fixes?

Establish a performance baseline by initiating PHASE 1 of the optimization workflow, which quantifies current behavior to detect state transitions. This baseline serves as the foundation for generating theories and validating incremental improvements.

Can I iteratively apply performance fixes and auto-progress through severity tiers for Truffle code?

Apply performance fixes iteratively in PHASE 3 and auto-progress through CRITICAL to LOW severity tiers for Truffle code. The orchestrator validates improvements against the established baseline and advances tiers as needed.

Does the optimization workflow orchestrator require specific dependencies to manage Truffle performance?

The optimization workflow orchestrator requires no specific dependencies to manage Truffle performance workflows. It integrates theory tracking and phase skills to streamline end-to-end optimization without external module constraints.