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Goal-Driven Coding Workflow

A small, portable skill pack for moving from a product goal to verified implementation.

It is intentionally generic: no application code, customer data, internal URLs, project history, or company-specific operating rules are included.

The workflow

  1. /authoring-goal-docs — research the codebase and write a durable product goal.
  2. /grill-for-unknowns — challenge assumptions, dependencies, and proof before planning.
  3. /gap-analysis — turn the agreed goal into a prioritized task queue.
  4. /gap-close — execute the approved queue through /orchestrating-subtasks.

Supporting skills:

  • /efficient-fable — reserve Fable for judgment and delegate bounded work.
  • /calling-claude — run Claude/Fable non-interactively when available.
  • /codex — run resumable Codex CLI sessions and request an independent review or second opinion.
  • /implement — apply the shared preflight and verification loop.

Install

Copy the skills you want into Codex's skills directory:

git clone https://github.com/hsuperman/goal-driven-coding-workflow.git
mkdir -p ~/.codex/skills
cp -R goal-driven-coding-workflow/skills/<skill-name> ~/.codex/skills/

Repeat the copy command for each skill you want. Start with the four workflow skills and add the supporting skills required by your chosen model setup.

Requirements

  • A Codex-compatible skill host.
  • Git and a local repository to inspect.
  • Codex CLI for /codex.
  • Claude CLI and authentication only if using /calling-claude or /efficient-fable with Claude/Fable.

The pack describes a workflow; it does not install models, authenticate providers, or make deployments automatic. Review each skill and adapt it to your own repository's safety rules before giving agents write access.

Attribution

This is a small, rewritten workflow pack. It does not contain application code or a verbatim copy of any upstream skill.

The pack is not affiliated with gstack, Matt Pocock, Thariq, Anthropic, or OpenAI.

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A lightweight goal-to-delivery workflow for AI-assisted software projects

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