ftw_skill

This skill orchestrates phased software delivery using PRDs, PRPs, and automated validation loops to plan, implement, and verify features end-to-end.
  • Python

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GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

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Readme & install

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Installation

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npx veilstrat add skill openclaw/skills --skill ftw

  • _meta.json618 B
  • SKILL.md8.1 KB

Overview

This skill is a PIV (Plan-Implement-Validate) workflow orchestrator that runs a systematic multi-phase development loop for feature work. It manages PRD discovery/creation, PRP generation, codebase analysis, multi-agent execution, validation, debug loops, and smart commits. Use it to enforce repeatable, phase-by-phase delivery with automated validation and clear escalation paths.

How this skill works

The orchestrator parses input to detect either a direct PRD path or a project path and switches between execute and discovery modes. In discovery mode it runs an interactive questionnaire, proposes a PRD and project phases, writes PRD and setup files, then transitions into the phase workflow. For each phase it spawns fresh sub-agents to do codebase analysis, generate PRPs, execute changes, validate results, and run up to three debug iterations before committing or escalating.

When to use it

  • Building features incrementally with clearly defined phases and acceptance criteria
  • Coordinating multi-agent workflows where each step needs fresh context
  • Generating PRDs and PRPs from an initial discovery conversation
  • Automating validation and debug loops to reduce manual oversight
  • Running repeatable, auditable phase-based releases with semantic commits

Best practices

  • Always ensure a PRD exists or run discovery so phases are scoped before execution
  • Provide as much initial context as possible to skip redundant discovery questions
  • Keep phases focused and small to minimize debug iterations
  • Treat sub-agents as stateless workers—pass only the necessary context and artifacts
  • Review validator reports before allowing automatic commits; escalate when human input is requested

Example use cases

  • Create a PRD from a short product brief, auto-generate PRPs, and run phase 1 through validation
  • Iteratively implement a multi-step feature (API → backend → frontend) with automated tests and validation in each phase
  • Archive and reproduce previous archived project workflows by replaying phase executions
  • Run a safety net for CI by spawning executors and validators that independently verify changes before merges

FAQ

The orchestrator enters Discovery Mode, asks targeted questions, proposes phases and a tech stack if needed, writes a PRD, and then continues into the phase workflow.

How are sub-agents used?

Each critical task (analysis, PRP generation, execution, validation, debugging) is performed by a fresh sub-agent spawned with minimal, focused context; results are awaited before moving forward.

What if validation fails repeatedly?

A debugger sub-agent runs up to three iterations to fix root causes. If issues persist or a sub-agent fails/timeouts, the orchestrator escalates to a human with a summary of partial work.

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ftw skill by openclaw/skills | VeilStrat