brainstorm
Explore 2-3 credible implementation approaches, compare trade-offs, and converge on a recommendation before detailed planning.
Skill by gclm
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/gclm-brainstorm
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/brainstorm
What's inside
- Skill name
brainstorm- Description
- Explore 2-3 credible implementation approaches, compare trade-offs, and converge on a recommendation before detailed planning.
- License
- MIT
- Instructions
- 98 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- reference-reuse-boundary.md · references/
SKILL.md (first lines)
# Brainstorm Use this skill when the user has a feature idea, architecture question, workflow choice, or a non-trivial design decision that should be compared before committing to a plan. ## Read First - `docs/overview/project-overview.md` if it exists - `docs/reference/requirements.md` if it exists - `harness/state.md` if it exists - `harness/history.md` if it exists - `docs/reference/conventions.md` if it exists - relevant local code and docs when the request targets an existing codebase - `references/reference-reuse-boundary.md` when the decision involves reusing another project's structure or implementation ## Goals - surface the real decision - generate 2-3 realistic approaches - explain trade-offs in plain language - recommend the strongest option - persist the decision context for later planning - expose hidden assumptions and missing facts when they materially change which option is best ## When To Use Good triggers: - new feature architecture - build vs buy decision - data model or API shape decision - background job or workflow choice - frontend interaction pattern choice - validation sample vs product implementation path - reference structure reuse vs direct implementation reuse - "what's the best way to do this?" Do not use this skill when the work is already obvious and low risk. ## Approach Rules Before comparing options, if the problem statement is likely carrying hidden assumptions, briefly surface: - the main hidden assumptions - the missing information that would change the recommendation - the most common mistake people make on this kind of decision For each option, include: - approach name - what it looks like in practice - main advantages - main costs or risks - implementation complexity: low, medium, or high - when this option is best Keep options credible. Avoid fake alternatives that only exist to make one recommendation look easy. When a reference project is involved, explicitly say whether each option reuses: - information architecture - interaction structure - implementation details ## Decision Format Use this structure: 1. Problem framing 2. Assumptions and missing information when relevant 3. Option A 4. Option B 5. Option C if a third option adds real value 6. Recommendation 7. Open questions, if any ## Persistence If `harness/state.md` exists, update current focus to reflect the decision being shaped. If `docs/overview/project-overview.md` or `docs/reference/requirements.md` exist, add a concise note about: - chosen approach - important rejected alternative - why the chosen option won - the scope mode, such as validation-first or implementation-first If the repository does not yet have usable `docs/ + harness/` state files, provide the recommendation in chat and note that `discuss` or `plan` should capture it next. ## Output Tell the user: - what decision was analyzed - the recommended approach - the biggest trade-off they are accepting - that the next step is usually `plan`
From gclm/super-stack, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 29, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/gclm/super-stack
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
brainstorm skill. Agent Mart. https://agentmart.dev/skills/gclm-brainstorm (last updated 2026-10-24)