ace-framework

Procedural knowledge for generating and maintaining code documentation, API specs, and architecture diagrams.

Procedural knowledge for orchestrating multi-agent systems and Agent-to-Agent (A2A) handoffs.

Procedural knowledge for designing autonomous AI agents with tools, memory, and reasoning loops.

Procedural knowledge for implementing the Model Context Protocol (MCP) to expose local tools to LLMs.

Procedural knowledge for ensuring frontend interfaces comply with WCAG standards.

Procedural knowledge for designing and configuring continuous integration and deployment pipelines.

Procedural knowledge for standardizing error boundaries, logging, and graceful degradation.

Procedural knowledge for identifying bottlenecks and optimizing system performance.

Procedural knowledge for conducting focused security reviews and enforcing secure coding practices.

Procedural knowledge for managing application state, data flow, and avoiding race conditions.

Procedural knowledge for designing robust, idempotent, and scalable data pipelines (ETL/ELT).

Procedural knowledge for transforming raw data into high-value features for machine learning models.

Procedural knowledge for evaluating machine learning models and AI systems systematically.

Procedural knowledge for designing, evaluating, and versioning robust LLM prompts.