Purpose: Separate WHAT from HOW. Explore the problem space before committing to a solution.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbrainstormExecute the skills CLI command in your project's root directory to begin installation:
Fetches brainstorm from boshu2/agentops and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate brainstorm. Access via /brainstorm in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Purpose: Separate WHAT from HOW. Explore the problem space before committing to a solution.
Four phases:
/plan/brainstorm "add user authentication" # full 4-phase process
/brainstorm # prompts for goal
If the user provided a goal string, evaluate it. Otherwise prompt for one.
Use AskUserQuestion with options to gauge clarity:
If vague or exploring, ask follow-up questions to sharpen the goal before proceeding. Do NOT move to Phase 2 until you have a concrete problem statement (one sentence, testable).
Answer these questions (use codebase exploration as needed):
Summarize findings before moving on. If anything is unclear, ask the user.
Generate 2-3 distinct approaches. For each:
Before asking the user to choose, stress-test each approach:
For each approach, answer these red team questions (read references/red-team-checklist.md):
Mark any approach that fails 2+ red team questions as HIGH RISK in the comparison.
If all approaches fail 2+ questions, generate a 4th "hybrid" approach addressing the weaknesses.
Present the comparison and use AskUserQuestion to let the user pick an approach or request a hybrid.
Generate a date slug: YYYY-MM-DD-<goal-slug> (lowercase, hyphens, no spaces).
Write the output file to .agents/brainstorm/YYYY-MM-DD-<slug>.md:
---
id: brainstorm-YYYY-MM-DD-<goal-slug>
type: brainstorm
date: YYYY-MM-DD
---
# Brainstorm: <Goal>
## Problem Statement
## Approaches Considered
## Selected Approach
## Open Questions
## Next Step: /plan
All five sections must be populated. The "Next Step" section should contain a concrete /plan invocation suggestion with the selected approach as context.
Create the .agents/brainstorm/ directory if it does not exist.
Phase 4 output written = done. No further phases, no loops.
After writing the output file, verify:
Problem Statement, Approaches Considered, Selected Approach, Open Questions, Next Step: /plan) are present and non-emptyReport the file path to the user.
Example 1: Specific goal
User: /brainstorm "add rate limiting to the API"
Phase 1: Goal is clear — add rate limiting to the API.
Phase 2: Problem is uncontrolled request volume causing timeouts.
Benefits operators and end users. No rate limiting exists today.
Phase 3: Three approaches — token bucket middleware, API gateway,
per-route decorators. User picks token bucket.
Phase 4: Writes .agents/brainstorm/2026-02-17-rate-limiting.md
Example 2: Vague goal
User: /brainstorm "improve performance"
Phase 1: Goal is vague. Asks: "Which part? API response times,
build speed, database queries, or something else?"
User says: "API response times on the search endpoint."
Phase 2: Investigates search endpoint, finds N+1 queries.
Phase 3: Approaches — query optimization, caching layer, pagination.
Phase 4: Writes .agents/brainstorm/2026-02-17-search-performance.md
| Problem | Cause | Solution |
|---|---|---|
| Brainstorm loops in Phase 1 without advancing | Goal remains too vague after follow-up questions | Provide a concrete, testable problem statement (e.g., "reduce API search latency below 200ms" instead of "improve performance"). |
| Output file missing one or more required sections | Phase 4 was interrupted or the skill terminated early | Re-run /brainstorm with the same goal; verify all 5 sections (Problem Statement, Approaches Considered, Selected Approach, Open Questions, Next Step: /plan) are present in the output. |
.agents/brainstorm/ directory not created |
The skill could not create the directory (permissions or path issue) | Manually create it with mkdir -p .agents/brainstorm and re-run. |
/plan invocation in "Next Step" section is generic or incomplete |
The selected approach was not specific enough to generate a concrete plan command | Edit the output file to refine the selected approach, then craft a /plan invocation that includes the approach name and key constraints. |
| Brainstorm produces only one approach in Phase 3 | The problem space is narrow or the goal is overly constrained | Widen the goal slightly or explicitly ask for alternative approaches (e.g., "consider a caching approach and a query optimization approach"). |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Keeps context tight: brainstorm is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend brainstorm for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
brainstorm is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in brainstorm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in brainstorm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
brainstorm fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for brainstorm matched our evaluation — installs cleanly and behaves as described in the markdown.
brainstorm is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
brainstorm fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in brainstorm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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