Classify and route coding tasks through a mandatory verification lifecycle.
npx skills add https://github.com/rpelizza/PelizzAI --skill pelizzai-core
Please help me install this Agent Skill. Skill: pelizzai-core Source: https://github.com/rpelizza/PelizzAI/tree/main/.agents/skills/pelizzai-core Command: npx skills add https://github.com/rpelizza/PelizzAI --skill pelizzai-core
This skill solves the problem of inconsistent agent behavior and lack of project-specific context by enforcing a standardized, verifiable, and proportional workflow for all coding tasks.
Use the pelizzai-core skill to analyze the current project requirements and recommend the safest execution route for the requested task.
High-intent search queries and answers about installing and using this skill.
To enforce consistent governance for agentic coding workflows, you can apply a mandatory harness that standardizes task execution through classification, routing, and a kickoff gate for user ratification. This ensures architectural consistency and verifiable task completion.
The best way to automate safe routing is to classify tasks automatically into read-only, write-local, or external-effect lanes. This proportional routing ensures safety by matching the execution route to the specific project requirements.
An AI agent skips project-specific rules when lacking a mandatory verification step. Enforcing a 1% trigger rule requires the agent to trigger any applicable skill, preventing it from skipping domain skills or project-specific conventions before writing code.
To standardize a new feature workflow, implement a lifecycle that audits the project stack, consults domain skills, and presents a ratified plan before any code is written. This enforces strict adherence to the project hierarchy and ensures proportional execution.
You do not need a specific external framework, as the governance is applied through a standalone harness design with no dependencies. It enforces project-specific context and architectural consistency directly within your software engineering workflows.
rpelizzaMaps project-specific domain logic and architectural constraints for AI agents.
christopherarterExecute written plans step-by-step with in-session task checkpoints.
petrSimonidesXartConvert implicit project conventions into explicit GAAI governance rules.
danielmiesslerManage parallel execution of AI agents across six agent patterns.
