Orchestrate multi-stage Forge workflows for planning, execution, and verification.
npx skills add https://github.com/lpjhelder/kronon-forge --skill pipeline-lpjhelder
Please help me install this Agent Skill. Skill: pipeline Source: https://github.com/lpjhelder/kronon-forge/tree/main/skills/pipeline Command: npx skills add https://github.com/lpjhelder/kronon-forge --skill pipeline-lpjhelder
It eliminates the need to manually coordinate multiple Forge stages, providing a unified way to run planning, execution, and verification with state persistence and resume support.
Invoke the pipeline skill with your desired configuration to run planning, execution, and verification stages.
High-intent search queries and answers about installing and using this skill.
Automate Forge workflows by orchestrating planning, execution, and verification stages. The pipeline writes progress to a JSON file, enabling automatic resumption after interruptions and state persistence.
A Forge pipeline is a coordinated workflow for consensus planning, team execution, and iterative validation. You need it for repeatable, auditable feature builds, release pipelines, or complex project planning.
Yes, Forge pipelines support configurable parameters including worker count, agent type, and verification iteration limits. These settings control team execution via Kronon workers and iterative Ralph verification.
Resume interrupted Forge workflow orchestration automatically using state management. The pipeline writes progress to a JSON file, which enables automatic resumption of planning, execution, and verification stages.
Forge pipeline orchestration operates without external dependencies. It uses built-in stages for consensus planning, Kronon worker execution, and Ralph verification, managing state internally through a JSON file.
lpjhelderInstall and configure kronon-forge with Node.js and npm.
servitolaLint DESIGN.md files for token structure and WCAG compliance.
BetaSCoordinate Planner, Architect, and Critic agents for consensus-based iterative planning.
amadeus-dlcRun the AI-DLC requirements-analysis stage in isolation without advancing the main workflow.
