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
- nielsmadan/skillstheir own version, first seen Nov 8, 2026
- phuthuycoding/kanban-flowtheir own version, first seen Nov 8, 2026
- baethon/skillstheir own version, first seen Nov 8, 2026
- CloudChef/atlasclaw-providerstheir own version, first seen Nov 8, 2026
- nisarth/claude-skills-storetheir own version, first seen Nov 8, 2026
- LongJohnSilver1504/claude-skillstheir own version, first seen Nov 8, 2026
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.
CoralGameSkillplaytest-report
Generates a structured playtest report template or analyzes existing playtest notes into a structured format. Use this to standardize playtest feedback collection and analysis.
Also in 9 projects that use this
CoralGameSkillteam-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
lilangMaxSkillsoak-test
Generate a soak test protocol for extended play sessions. Defines what to observe, measure, and log during long play sessions to surface slow leaks, fatigue effects, and edge cases that only appear after sustained play. Primarily used in Polish and Release phases.
Also in 6 projects that use this
lilangMaxSkillteam-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
Other versions189 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 189
- Donchitos/Claude-Code-Game-Studios★ 27ksame name
- codeaholicguy/ai-devkit★ 1.7ksame name
- jtydhr88/ComfyTV★ 1.2ksame name
- event-driven-io/emmett★ 562same name
- zaxbysauce/opencode-swarm★ 519same name
- ZaxbyHub/opencode-swarm★ 518same name
- automagik-dev/genie★ 351same name
- namastexlabs/automagik-genie★ 351same name
- bkywksj/knowledge-base★ 340same name
- pixel-cellar/Claude-Code-Game-Studios★ 324same name
179 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository144 other files it gives its agents.
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- The first 60 shown.
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
- Distinctive: line 21
Use before implementing large feature additions or undertaking massive code refactoring.
- Distinctive: line 22
Use when exploring multiple system design variations or evaluating architectural trade-offs.
- Distinctive: line 23
Use when auditing legacy source blocks to trace dataflows and safely plan next-step extensions.
- Distinctive: line 24
Do NOT use for micro-scoped local bug fixes or straightforward one-line variable updates.
- Very specific: line 29
When the user executes /brainstorm <path>, the Antigravity engine parses all files inside the specified target path and injects them …
- Distinctive: line 39
Strictly forbid generative slop: Do not dump unprompted blocks of solution code.
- Distinctive: line 41
Ask exactly 2–3 highly targeted, strategic questions to extract design boundaries (e.g., execution speed vs readability, third-party …
“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.
Files
🧠 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]Does it work?
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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.

