Customise Workflow

What it does

When your agent uses it

• The user says customise workflow
• Customize workflow
• Adjust my PRD settings
• Wants to change how prd-taskmaster behaves

Example prompts

• “customise workflow”
• “customize workflow”
• “adjust my PRD settings”
• “/customise-workflow”

Requirements

• Python 3
• Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, AskUserQuestion, ToolSearch, mcp__atlas-engine, mcp__plugin_prd_go, mcp__plugin_prd-taskmaster_go, mcp__plugin_atlas-go_go

Workflow steps

5 steps, taken from the step headings in SKILL.md.

1. 1LOAD current config
2. 2ASK curated questions
3. 3VALIDATE answers
4. 4WRITE config
5. 5VERIFY

What it can do on your machine

Read from SKILL.md and the folder at commit 3a9756a. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Edit
  • Bash
  • AskUserQuestion
  • ToolSearch
  • mcp__atlas-engine
  • mcp__plugin_prd_go
  • mcp__plugin_prd-taskmaster_go
  • mcp__plugin_atlas-go_go

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • python3

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Customise Workflow loads about 2k tokens when it runs. Until then it costs about 164 tokens; SKILL.md has 643 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~164

When it runs · the whole SKILL.md, loaded when a task matches

~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Read, Write, Edit, Bash, AskUserQuestion, ToolSearch, mcp__atlas-engine, mcp__plugin_prd_go, mcp__pl

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from anombyte93/prd-taskmaster at commit 3a9756a, republished under its MIT licence (© anombyte93). 643 words, ~2,034 tokens.

name

customise-workflow

description

Customise the prd-taskmaster plugin workflow via curated brainstorm questions. The AI asks, the user answers in plain English, and the skill writes their preferences to .atlas-ai/config/atlas.json. Future runs of prd-taskmaster read that file and apply user preferences to phase gates, validation strictness, default provider, preferred execution mode, and template choice. For deeper tweaks beyond the curated questions, users can hand-edit files in .atlas-ai/customizations/. Use when the user says "customise workflow", "customize workflow", "adjust my PRD settings", "tune the skill", or wants to change how prd-taskmaster behaves.

allowed-tools

Read, Write, Edit, Bash, AskUserQuestion, ToolSearch, mcp__atlas-engine, mcp__plugin_prd_go, mcp__plugin_prd-taskmaster_go, mcp__plugin_atlas-go_go

user-invocable

true

LOAD → ASK → VALIDATE → WRITE → VERIFY

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

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+)

Q3: Which execution mode should prd-taskmaster default to?
  Options: A (Plan Mode), B (Ralph loop), C (Atlas Fleet), ...

...

python3 skills/customise-workflow/script.py validate-answer \
  --key provider_main --value gemini-cli

python3 skills/customise-workflow/script.py write-config --input /tmp/answers.json

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

{
  "token_economy": "conservative|balanced|performance",
  "provider": {
    "main": "gemini-cli|claude-code|anthropic|openai|openrouter|ollama|...",
    "model_main": "gemini-3-pro-preview|sonnet|gpt-4o|...",
    "research": "gemini-cli|perplexity|...",
    "model_research": "sonar-pro|gemini-3-pro-preview|...",
    "fallback": "gemini-cli|claude-code|...",
    "model_fallback": "gemini-3-flash-preview|haiku|..."
  },
  "validation": {
    "strictness": "strict|normal|lenient",
    "ai_review_default": true,
    "min_passing_grade": "EXCELLENT|GOOD|ACCEPTABLE|NEEDS_WORK"
  },
  "execution": {
    "preferred_mode": "A|B|C|D|E|F|G|H|I|J",
    "auto_handoff": true,
    "external_tool": "cursor|codex-cli|gemini-cli|..."
  },
  "template": {
    "default": "comprehensive|minimal",
    "custom_template_path": null
  },
  "autonomous": {
    "allow_self_brainstorm": true,
    "ralph_loop_auto_approve": true
  },
  "gates": {
    "skip_phase_0_if_validated": false,
    "skip_user_approval_in_discovery": false,
    "require_research_expansion": true
  }
}

.atlas-ai/
  config/
    atlas.json              # written by this skill
  customizations/           # user-editable, never overwritten by this skill
    templates/              # custom PRD templates
    prompts/                # provider prompt overrides
    gates/                  # custom gate predicates
    README.md               # user-authored notes

© anombyte93, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/customise-workflow of anombyte93/prd-taskmaster.

Open the folder on GitHubat commit 3a9756a