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MarvellbrazilMarvellbrazil/my-agentic-skills/skills/brainstorm/SKILL.md

brainstorm

Skill4 starsChanged 50 days agoMITView on GitHub

Reads the designated project files, analyzes the architecture, and triggers an interactive session to extract user preferences before writing code.

189 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use playtest-report, team-polish and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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    Also in 9 projects that use this

  • CoralGameSkill

    team-polish

    Orchestrate the polish team: coordinates performance-analyst, technical-artist, sound-designer, and qa-tester to optimize, polish, and harden a feature or area for release quality.

    Also in 11 projects that use this

  • lilangMaxSkill

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    Also in 6 projects that use this

  • lilangMaxSkill

    team-live-ops

    Orchestrate the live-ops team for post-launch content planning: coordinates live-ops-designer, economy-designer, analytics-engineer, community-manager, writer, and narrative-director to design and plan a season, event, or live content update.

    Also in 6 projects that use this

  • +8 more from CoralGame

The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 6 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 156 edited versions we read keep these.

  • 6

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use before implementing large feature additions or undertaking massive code refactoring.

    line 21
  2. Distinctive:

    Use when exploring multiple system design variations or evaluating architectural trade-offs.

    line 22
  3. Distinctive:

    Use when auditing legacy source blocks to trace dataflows and safely plan next-step extensions.

    line 23
  4. Distinctive:

    Do NOT use for micro-scoped local bug fixes or straightforward one-line variable updates.

    line 24
  5. Very specific:

    When the user executes /brainstorm <path>, the Antigravity engine parses all files inside the specified target path and injects them …

    line 29
  6. Distinctive:

    Strictly forbid generative slop: Do not dump unprompted blocks of solution code.

    line 39
  7. Distinctive:

    Ask exactly 2–3 highly targeted, strategic questions to extract design boundaries (e.g., execution speed vs readability, third-party …

    line 41

“Common” is measured: kept by at least 6 in 10 of the 156 edited versions of this file we could read. “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

🧠 Brainstorming & Preference Gathering

Overview

This skill shifts the AI agent's role into a critical Senior Software Architect and debugging partner. Instead of blindly jumping into raw code generation—which often misses architectural intent—the agent indexes the target files/directories, maps structural patterns, and surfaces precise, strategic trade-off questions to lock down your system preferences first.

When to Use

  • Use before implementing large feature additions or undertaking massive code refactoring.
  • Use when exploring multiple system design variations or evaluating architectural trade-offs.
  • Use when auditing legacy source blocks to trace dataflows and safely plan next-step extensions.
  • Do NOT use for micro-scoped local bug fixes or straightforward one-line variable updates.

How It Works

1. Ingestion Phase

When the user executes /brainstorm <path>, the Antigravity engine parses all files inside the specified target path and injects them cleanly into the active context window as an isolated, temporary knowledge base.

2. Analysis Phase

The agent performs a silent structural audit of the code to map:

  • The core tech stack, frameworks, and dependency ecosystem in use.
  • The active design patterns (e.g., repository pattern, decoupled routers, ports-and-adapters) and data layers.
  • Potential bottlenecks, concurrency hazards, security vectors, or code smells.

3. Engagement Phase (Interaction Guardrails)

The agent must enforce the following constraints on its initial response:

  • Strictly forbid generative slop: Do not dump unprompted blocks of solution code.
  • Summarize the structural current state in a maximum of 1–2 highly dense paragraphs.
  • Ask exactly 2–3 highly targeted, strategic questions to extract design boundaries (e.g., execution speed vs readability, third-party libraries vs native constructs, or query-loading preferences).

4. Interactive Discussion Loop

The conversation enters a locked, stateful feedback mechanism. The architect refines its implementation blueprints incrementally against your answers. This structured loop terminates only when you explicitly submit exit.


Expected Input Format

/brainstorm <path_to_file_or_directory> [optional_additional_context_or_goals]

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