agentleFS
CodeWithBehnamCodeWithBehnam/cc-docs/skills/productivity/ce-brainstorm/SKILL.md

ce:brainstorm

Skill2 starsChanged 8 months agoMITView on GitHub

Explore requirements and approaches through collaborative dialogue before planning implementation

  • Sends data out

1 other project uses a version of this, 1 of them edited.

Adopted by

Most recently taken up by

The file

Show its rules and text

We split this skill into the rules it gives an agent

19 rules. About 0 are common, 15 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈15

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Note: The current year is 2026: Use this when dating brainstorm documents.

    line 9
  2. Distinctive:

    Do not proceed until you have a feature description from the user.

    line 21
  3. Very specific:

    Use AskUserQuestion tool to suggest: "Your requirements seem detailed enough to proceed directly to planning.

    line 36
  4. Distinctive:

    Run a quick repo scan to understand existing patterns:

    line 42
  5. Distinctive:

    Use the AskUserQuestion tool to ask questions one at a time.

    line 50
  6. Distinctive:

    Prefer multiple choice when natural options exist

    line 53
  7. Distinctive:

    Start broad (purpose, users) then narrow (constraints, edge cases)

    line 54
  8. Distinctive:

    Ask about success criteria

    line 56
  9. Distinctive:

    When it's best suited

    line 67
  10. Distinctive:

    Use AskUserQuestion tool to ask which approach the user prefers.

    line 71
  11. Very specific:

    Write a brainstorm document to docs/brainstorms/YYYY-MM-DD-<topic>-brainstorm.md.

    line 75
  12. Very specific:

    Ensure docs/brainstorms/ directory exists before writing.

    line 79
  13. Distinctive:

    Use AskUserQuestion tool to present next steps:

    line 85
  14. Very specific:

    Proceed to planning: - Run /ce:plan (will auto-detect this brainstorm)

    line 91
  15. Distinctive:

    If the curl fails, skip silently.

    line 109
  16. Distinctive:

    When document-review returns "Review complete", present next steps:

    line 117
  17. Distinctive:

    Ask one question at a time: - Don't overwhelm

    line 141
  18. Distinctive:

    Apply YAGNI: - Prefer simpler approaches

    line 142
  19. Distinctive:

    NEVER CODE! Just explore and document decisions.

    line 145

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Brainstorm a Feature or Improvement

Note: The current year is 2026. Use this when dating brainstorm documents.

Brainstorming helps answer WHAT to build through collaborative dialogue. It precedes /ce:plan, which answers HOW to build it.

Process knowledge: Load the brainstorming skill for detailed question techniques, approach exploration patterns, and YAGNI principles.

Feature Description

<feature_description> #$ARGUMENTS </feature_description>

If the feature description above is empty, ask the user: "What would you like to explore? Please describe the feature, problem, or improvement you're thinking about."

Do not proceed until you have a feature description from the user.

Execution Flow

Phase 0: Assess Requirements Clarity

Evaluate whether brainstorming is needed based on the feature description.

Clear requirements indicators:

  • Specific acceptance criteria provided
  • Referenced existing patterns to follow
  • Described exact expected behavior
  • Constrained, well-defined scope

If requirements are already clear: Use AskUserQuestion tool to suggest: "Your requirements seem detailed enough to proceed directly to planning. Should I run /ce:plan instead, or would you like to explore the idea further?"

Phase 1: Understand the Idea

1.1 Repository Research (Lightweight)

Run a quick repo scan to understand existing patterns:

  • Task compound-engineering:research:repo-research-analyst("Understand existing patterns related to: <feature_description>")

Focus on: similar features, established patterns, CLAUDE.md guidance.

1.2 Collaborative Dialogue

Use the AskUserQuestion tool to ask questions one at a time.

Guidelines (see brainstorming skill for detailed techniques):

  • Prefer multiple choice when natural options exist
  • Start broad (purpose, users) then narrow (constraints, edge cases)
  • Validate assumptions explicitly
  • Ask about success criteria

Exit condition: Continue until the idea is clear OR user says "proceed"

Phase 2: Explore Approaches

Propose 2-3 concrete approaches based on research and conversation.

For each approach, provide:

  • Brief description (2-3 sentences)
  • Pros and cons
  • When it's best suited

Lead with your recommendation and explain why. Apply YAGNI—prefer simpler solutions.

Use AskUserQuestion tool to ask which approach the user prefers.

Phase 3: Capture the Design

Write a brainstorm document to docs/brainstorms/YYYY-MM-DD-<topic>-brainstorm.md.

Document structure: See the brainstorming skill for the template format. Key sections: What We're Building, Why This Approach, Key Decisions, Open Questions.

Ensure docs/brainstorms/ directory exists before writing.

IMPORTANT: Before proceeding to Phase 4, check if there are any Open Questions listed in the brainstorm document. If there are open questions, YOU MUST ask the user about each one using AskUserQuestion before offering to proceed to planning. Move resolved questions to a "Resolved Questions" section.

Phase 4: Handoff

Use AskUserQuestion tool to present next steps:

Question: "Brainstorm captured. What would you like to do next?"

Options:

  1. Review and refine - Improve the document through structured self-review
  2. Proceed to planning - Run /ce:plan (will auto-detect this brainstorm)
  3. Share to Proof - Upload to Proof for collaborative review and sharing
  4. Ask more questions - I have more questions to clarify before moving on
  5. Done for now - Return later

If user selects "Share to Proof":

CONTENT=$(cat docs/brainstorms/YYYY-MM-DD-<topic>-brainstorm.md)
TITLE="Brainstorm: <topic title>"
RESPONSE=$(curl -s -X POST https://www.proofeditor.ai/share/markdown \
  -H "Content-Type: application/json" \
  -d "$(jq -n --arg title "$TITLE" --arg markdown "$CONTENT" --arg by "ai:compound" '{title: $title, markdown: $markdown, by: $by}')")
PROOF_URL=$(echo "$RESPONSE" | jq -r '.tokenUrl')

Display the URL prominently: View & collaborate in Proof: <PROOF_URL>

If the curl fails, skip silently. Then return to the Phase 4 options.

If user selects "Ask more questions": YOU (Claude) return to Phase 1.2 (Collaborative Dialogue) and continue asking the USER questions one at a time to further refine the design. The user wants YOU to probe deeper - ask about edge cases, constraints, preferences, or areas not yet explored. Continue until the user is satisfied, then return to Phase 4.

If user selects "Review and refine":

Load the document-review skill and apply it to the brainstorm document.

When document-review returns "Review complete", present next steps:

  1. Move to planning - Continue to /ce:plan with this document
  2. Done for now - Brainstorming complete. To start planning later: /ce:plan [document-path]

Output Summary

When complete, display:

Brainstorm complete!

Document: docs/brainstorms/YYYY-MM-DD-<topic>-brainstorm.md

Key decisions:
- [Decision 1]
- [Decision 2]

Next: Run `/ce:plan` when ready to implement.

Important Guidelines

  • Stay focused on WHAT, not HOW - Implementation details belong in the plan
  • Ask one question at a time - Don't overwhelm
  • Apply YAGNI - Prefer simpler approaches
  • Keep outputs concise - 200-300 words per section max

NEVER CODE! Just explore and document decisions.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.