Execute a PRD story through a Ralph-pattern workflow with worker handoffs.
npx skills add https://github.com/indigoai-us/hq --skill execute-task-indigoai-us
Please help me install this Agent Skill. Skill: execute-task Source: https://github.com/indigoai-us/hq/tree/main/template/.claude/skills/execute-task Command: npx skills add https://github.com/indigoai-us/hq --skill execute-task-indigoai-us
Execute a PRD-driven story through coordinated worker phases, ensuring domain-specific handoffs and back-pressure controls to keep code and tasks on rails.
Run execute-task {project}/{task-id} to begin processing a PRD story.
High-intent search queries and answers about installing and using this skill.
PRD story execution is orchestrated by coordinating specialized workers through a Ralph-pattern workflow, enforcing deterministic task flow, dependency checks, and structured handoffs to keep code and tasks on rails.
Back-pressure in task execution workflows enforces validation gates like lint, tests, and typecheck before context transfer between workers. It is needed to maintain quality and prevent downstream processing failures during PRD story execution.
Deterministic task flow is enforced by loading task specs, validating dependencies, and producing structured handoffs for downstream workers. This ensures each phase produces a consistent, machine-readable outcome for the next worker.
Task selection and optional Codex-assisted steps can be configured within the workflow. The system supports selecting specific PRD stories and applying configurable processing phases to execute the coordinated worker pattern.
Execute-task runs without external component dependencies. It relies entirely on its internal Ralph-pattern workflow logic to coordinate domain-specific handoffs, back-pressure controls, and task execution phases.
To start running a PRD story, execute the command format execute-task {project}/{task-id}. This loads the task spec and begins the phase-by-phase orchestration of specialized workers.
rodrigobranasBreak down PRDs and TechSpecs into granular task files with codebase context.
qazuorRun lint, typecheck, and tests on Task Master tasks and record results to state.json.
MrPointerCreate domain-specialized AI reviewer agents for project planning workflows.
jcchikikomoriCoordinate multiple subagents across complex workflows with clear handoffs and stop points.
