customise-workflow

AI-driven workflow customisation for the prd-taskmaster plugin. Replaces manual JSON editing. Part of the plugin's companion-skills family.

Script: skills/customise-workflow/script.py (all commands output JSON) Plugin config root: .atlas-ai/ (per-project, lives alongside TaskMaster's .taskmaster/)

When to Use

Activate when the user says: "customise workflow", "customize workflow", "adjust PRD settings", "tune the skill", "change my defaults", or "personalise prd-taskmaster".

Skip: generating a new PRD (use /prd:go), executing tasks (use HANDOFF modes), or running research expansion (use /expand-tasks).

The One Rule

The AI asks the questions and writes the config. The user never manually edits JSON. The config file is the output, not the input. If the user wants tweaks beyond the curated questions, point them at .atlas-ai/customizations/ (see "Customizations directory" below), do not hand them raw JSON.

Flow

LOAD → ASK → VALIDATE → WRITE → VERIFY

Phase 1: LOAD current config

Run the script to load existing preferences (or defaults if first run):

python3 skills/customise-workflow/script.py load-config

Returns JSON with current preferences across 6 categories: provider, validation, execution, template, autonomous, gates. Writes to .atlas-ai/config/atlas.json if missing, seeding defaults.

Phase 2: ASK curated questions

Read questions/curated-questions.md and ask each one via AskUserQuestion. The questions are curated so plain-English answers map cleanly to config keys. Example:

Q1: Which AI provider do you prefer for task generation?
  Options: Gemini (free, token-efficient), Claude Code (free, Max only),
           OpenAI GPT-4, Anthropic Direct API, OpenRouter, Ollama (local)

Q2: How strict should PRD validation be?
  Options: Strict (block on NEEDS_WORK), Normal (warn but allow GOOD+),
           Lenient (accept ACCEPTABLE+)