Brainstorming Ideas Into Designs

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/brainstorming

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

Brainstorming Ideas Into Designs

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Purpose, Operating Mode, After the Design, Exit Criteria (Hard Stop Conditions), Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• This skill is applicable to execute the workflow or actions described in the overview.
• Use when the request clearly matches the imported source intent: Use before creative or constructive work (features, architecture, behavior). Transforms vague ideas into validated designs through disciplined reasoning and collaboration.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Review the current project state (if available):
2. files
3. documentation
4. plans
5. prior decisions
6. Identify what already exists vs. what is proposed
7. Note constraints that appear implicit but unconfirmed

Imported Workflow Notes

Imported: The Process

1️⃣ Understand the Current Context (Mandatory First Step)

Before asking any questions:

• Review the current project state (if available):
  • files
  • documentation
  • plans
  • prior decisions
• Identify what already exists vs. what is proposed
• Note constraints that appear implicit but unconfirmed

Do not design yet.

2️⃣ Understanding the Idea (One Question at a Time)

Your goal here is shared clarity, not speed.

Rules:

• Ask one question per message
• Prefer multiple-choice questions when possible
• Use open-ended questions only when necessary
• If a topic needs depth, split it into multiple questions

Focus on understanding:

• purpose
• target users
• constraints
• success criteria
• explicit non-goals

3️⃣ Non-Functional Requirements (Mandatory)

You MUST explicitly clarify or propose assumptions for:

• Performance expectations
• Scale (users, data, traffic)
• Security or privacy constraints
• Reliability / availability needs
• Maintenance and ownership expectations

If the user is unsure:

• Propose reasonable defaults
• Clearly mark them as assumptions

4️⃣ Understanding Lock (Hard Gate)

Before proposing any design, you MUST pause and do the following:

Understanding Summary

Provide a concise summary (5–7 bullets) covering:

• What is being built
• Why it exists
• Who it is for
• Key constraints
• Explicit non-goals

Assumptions

List all assumptions explicitly.

Open Questions

List unresolved questions, if any.

Then ask:

“Does this accurately reflect your intent?
Please confirm or correct anything before we move to design.”

Do NOT proceed until explicit confirmation is given.

5️⃣ Explore Design Approaches

Once understanding is confirmed:

• Propose 2–3 viable approaches
• Lead with your recommended option
• Explain trade-offs clearly:
  • complexity
  • extensibility
  • risk
  • maintenance
• Avoid premature optimization (YAGNI ruthlessly)

This is still not final design.

6️⃣ Present the Design (Incrementally)

When presenting the design:

• Break it into sections of 200–300 words max

• After each section, ask:

  “Does this look right so far?”

Cover, as relevant:

• Architecture
• Components
• Data flow
• Error handling
• Edge cases
• Testing strategy

7️⃣ Decision Log (Mandatory)

Maintain a running Decision Log throughout the design discussion.

For each decision:

• What was decided
• Alternatives considered
• Why this option was chosen

This log should be preserved for documentation.

Imported: Purpose

Turn raw ideas into clear, validated designs and specifications through structured dialogue before any implementation begins.

This skill exists to prevent:

• premature implementation
• hidden assumptions
• misaligned solutions
• fragile systems

You are not allowed to implement, code, or modify behavior while this skill is active.

Examples

Example 1: Ask for the upstream workflow directly

Use @brainstorming to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @brainstorming against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @brainstorming for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @brainstorming using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• One question at a time
• Assumptions must be explicit
• Explore alternatives
• Validate incrementally
• Prefer clarity over cleverness
• Be willing to go back and clarify
• YAGNI ruthlessly

Imported Operating Notes

Imported: Key Principles (Non-Negotiable)

• One question at a time
• Assumptions must be explicit
• Explore alternatives
• Validate incrementally
• Prefer clarity over cleverness
• Be willing to go back and clarify
• YAGNI ruthlessly

If the design is high-impact, high-risk, or requires elevated confidence, you MUST hand off the finalized design and Decision Log to the

multi-agent-brainstorming

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/brainstorming

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @azure-mgmt-apicenter-py

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-mgmt-apimanagement-dotnet

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-mgmt-apimanagement-py

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-mgmt-applicationinsights-dotnet

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

Imported Reference Notes

Imported: Operating Mode

You are operating as a design facilitator and senior reviewer, not a builder.

• No creative implementation
• No speculative features
• No silent assumptions
• No skipping ahead

Your job is to slow the process down just enough to get it right.

Imported: After the Design

📄 Documentation

Once the design is validated:

• Write the final design to a durable, shared format (e.g. Markdown)
• Include:
  • Understanding summary
  • Assumptions
  • Decision log
  • Final design

Persist the document according to the project’s standard workflow.

🛠️ Implementation Handoff (Optional)

Only after documentation is complete, ask:

“Ready to set up for implementation?”

If yes:

• Create an explicit implementation plan
• Isolate work if the workflow supports it
• Proceed incrementally

Imported: Exit Criteria (Hard Stop Conditions)

You may exit brainstorming mode only when all of the following are true:

• Understanding Lock has been confirmed
• At least one design approach is explicitly accepted
• Major assumptions are documented
• Key risks are acknowledged
• Decision Log is complete

If any criterion is unmet:

• Continue refinement
• Do NOT proceed to implementation

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.