brainstorm
Skill36 starsChanged 21 days agoMITView on GitHub
Use this skill when exploring an open product or architecture question before choosing an approach. Activates on mentions of brainstorm, ideate, design session, explore options, what should we build, how should we approach, let's think about, new project, architecture decision, or design exploration. Skip it for a clear implementation request.
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 repository14 other files it gives its agents.
- AGENTS.mdAGENTS.md
- codex-imagegenSkill
- cross-model-reviewSkill
- demo-reelSkill
- deslopSkill
- dreamSkill
- gitSkill
- hyper-pr-reviewSkill
- implementSkill
- orchestrateSkill
- planSkill
- researchSkill
- super-good-prSkill
- tui-designSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 156 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 36
Add an unconventional option only when the obvious ones share an untested assumption.
“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
Collaborative Brainstorming
Turn uncertainty into a useful choice or a focused experiment.
The user's instructions take precedence over this skill; carry existing authorization forward and do not add approval gates.
Choose the Work Shape
| Situation | Useful output |
| The user wants open exploration | Distinct directions, concrete tradeoffs, open questions |
| The user holds a picture they cannot articulate | An interview, or rendered directions with their styles named |
| The user says they do not know the domain | A blind-spot pass: the questions they did not ask, by consequence |
| The problem is clear, the mechanism is not | A recommendation and the evidence that would overturn it |
| One assumption determines feasibility | A small test of that assumption before any design |
| Approach chosen, implementation authorized | Continue into implementation |
| The user asks why something happens | Diagnose the cause before designing a fix |
Ground the Question
Recall prior decisions through the installed Sibyl skill when configured (sibyl context "<decision>" --intent plan), and recheck any volatile claim it returns. Find the nearest existing instance and the prior work before generating alternatives.
Translate taste into examples and observations. For "smooth," identify the interaction and visible delay. For "gorgeous," inspect the reference and name the composition, motion, or typography worth preserving. Quantification helps where a metric represents the experience; a proxy metric does not replace the experience itself. A reference the user supplies is the specification: match it before reinterpreting it, and when a concept could move, show it moving.
Treat the user's hunch as a hypothesis: a decisive check can confirm part of it and reject the rest, so report both. Do not downgrade an explicit "use X" to a preference because it was written casually; if it conflicts with feasibility, say so before designing around it.
Elicit what the user knows but did not write. A prompt is a map of the problem, and the user holds constraints, taste, and context they treat as obvious; a wrong guess at those costs a rebuilt slice. When the user signals ambiguity or a picture they cannot describe, interview them: a chain of specific, answerable questions through the host's question tool, or a rendered artifact that puts each question beside the diagram, snippet, or option it concerns. Stop when answers stop changing the design. For taste-driven work, distinct rendered directions are the interview: name the style of each so the user gains the vocabulary to steer, and treat the first pass as a probe. When the user says they do not know the domain, open with the questions they did not ask, ranked by consequence, before any recommendation.
Compare the Alternatives That Matter
Add an unconventional option only when the obvious ones share an untested assumption.
| Approach | What improves | Carrying cost | Main uncertainty | Decisive check |
| [Mechanism] | [User or system outcome] | [Maintenance, runtime, migration] | [What could invalidate it] | [Experiment or evidence] |
Test the Uncertainty Before Polishing
Pick the next move by its power to change the decision; a rough prototype often settles more than another design paragraph.
| Evidence gap | Next move |
| An API or model capability may have changed | Read current primary docs and inspect the installed version |
| Performance determines feasibility | Test a representative workload against a baseline and resource caps |
| Several independent domains affect the choice | Delegate bounded research when permitted, or batch the reads |
| Stakeholders value different outcomes | Surface the value tradeoff to the user |
| A favored approach has weak support | Seek a concrete counterexample or failure condition |
Reviewer agreement is not proof, since reviewers may share training, sources, or framing. Settle consequential disagreements with code, sources, or an experiment, and say when evidence stays inconclusive.
Decide and Preserve the Reason
Recommend the best-supported direction with its main tradeoff and next action, or keep exploration open when that is the deliverable.
For a durable decision, record the choice, rationale, rejected alternative worth remembering, evidence, and reconsideration trigger in configured project memory. Preserve deliberately open decisions and user corrections verbatim when paraphrase would narrow them.
Route unresolved factual questions to research, complex execution to plan, and a clear bounded change to implement; these are optional compositions, not a mandatory pipeline.
Evidence
Reviewed 2026-09-04 and 2026-10-27; sources and their limits are in references/evidence.md.
Anti-Patterns
| Anti-pattern | Better move |
| Brainstorm before every code edit | Explore only unresolved direction |
| Ask the user to reconfirm known constraints | Carry prior authorization and decisions forward |
| Offer options that differ only cosmetically | Compare different mechanisms or tradeoffs |
| Polish an approach with an untested premise | Run the feasibility check first |
| Turn an anecdote into a universal rule | Retain the mechanism and state its conditions |
What This Skill is NOT
- A prerequisite for implementation, debugging, or routine fixes.
- A requirement to produce a spec, a fixed option count, or a final approval question.
- A substitute for the user's product judgment or current technical evidence.
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
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.

