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workflow-brainstorm

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Use when you need to turn a vague idea into a confirmed design spec before implementation (new feature/component/behavior change). First check project context, then ask one question at a time, provide 2-3 options with trade-offs, finally output design in segments (~200-300 words each) with confirmation after each. Triggers: brainstorm, clarify idea, design spec, refine concept, requirement clarification.

157 stars
3.1k downloads
Updated 2/7/2026

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SKILL.md

Brainstorming Ideas Into Designs

Goal

Transform "vague ideas/requirements" into actionable designs and specifications, producing reusable file artifacts (rather than just staying in chat).

Key requirement: Ask only one question at a time. If a topic is complex, break it into multiple rounds of Q&A—don't throw out a checklist all at once.

Core Process (Must Follow)

0) Check Project Context First (Required When Repo Exists)

Before asking questions, quickly check:

  • Key documentation: README.md, docs/, design-system.md (if exists)
  • Tech stack and constraints: package.json / Cargo.toml / pyproject.toml etc.
  • Structure overview: top-level directories, main modules
  • Recent changes: git log -n 10 --oneline (if it's a git repo)

Output a very brief context summary: what you observed + possible constraint points (don't start designing yet).

1) Understand the Idea (One Question at a Time)

Goal is to gather the minimum information set (purpose / constraints / success criteria).

Rules:

  • Each message asks 1 question only
  • Prefer multiple choice (reduce user's cognitive load), use open questions only when necessary
  • Ask direction-determining questions first (goals/success criteria/non-goals), then details

2) Explore Solutions (2-3 Options + Trade-offs)

After you understand the requirements:

  • Provide 2-3 options (A/B/C)
  • Explain trade-offs for each (complexity/risk/iteration speed/long-term cost)
  • Give your recommended option first, then explain why

3) Output Design (200-300 Word Segments + Confirm Each)

When you're confident you understand what needs to be done, start outputting the design spec.

Requirements:

  • Output in segments (~200-300 words each)
  • Ask for confirmation at the end of each segment: e.g., "Does this look good?"
  • Design should at least cover:
    • Architecture and module boundaries
    • Core data flow (input → processing → output)
    • Error handling and edge cases
    • Testing and validation strategy (minimum viable set)

If user disagrees with a segment: go back to questioning/option phase to clarify—don't push forward.

Artifacts and Persistence (Strongly Recommended)

Write Design Document

Prefer writing to run directory (artifact-first):

  • run_dir/evidence/YYYY-MM-DD-<topic>-design.md

If there's no run_dir but there is a repo_root:

  • Create runs/brainstorm/active/<run_id>/, and write design to evidence/

Note: Writing files is a write operation; if this is the user's project repo, confirm "should I persist to the project?" before writing.

Enter Implementation (Optional)

After design is confirmed, ask one question to let user choose next step:

  1. Enter implementation directly (recommend workflow-ship-faster or workflow-feature-shipper)
  2. Write implementation plan first (persist as checklist items in run_dir/tasks.md, then wait for confirmation)
  3. Need research/code reading first (split to run_dir/evidence/parallel/<task-name>/ and do in parallel)

Key Principles

  • One question at a time: Never ask 5 questions in one message
  • Multiple choice preferred: Help user respond faster and more effectively
  • YAGNI: Actively remove "not needed yet" features from the design
  • Incremental validation: Output design in segments, confirm each one

Install

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Requires askill CLI v1.0+

AI Quality Score

92/100Analyzed 2/19/2026

Well-structured skill for transforming vague ideas into design specs. Provides clear step-by-step process with specific guidance (one question at a time, 200-300 word segments), includes artifact persistence recommendations, and has clear triggers. Highly actionable and reusable methodology applicable to any project. Slight deduction for generic repo name suggesting internal focus, but content is genuinely general-purpose.

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Metadata

Licenseunknown
Version-
Updated2/7/2026
PublisherHeyvhuang

Tags

github-actions