brainstorm

boshu2/agentops · updated Apr 8, 2026

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$npx skills add https://github.com/boshu2/agentops --skill brainstorm
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Purpose: Separate WHAT from HOW. Explore the problem space before committing to a solution.

skill.md

/brainstorm — Clarify Goals Before Planning

Purpose: Separate WHAT from HOW. Explore the problem space before committing to a solution.

Four phases:

  1. Assess clarity — Is the goal specific enough?
  2. Understand idea — What problem, who benefits, what exists?
  3. Explore approaches — Generate options, compare tradeoffs, adversarial critique
  4. Capture design — Write structured output for /plan

Quick Start

/brainstorm "add user authentication"     # full 4-phase process
/brainstorm                                # prompts for goal

Execution Steps

Phase 1: Assess Clarity

If the user provided a goal string, evaluate it. Otherwise prompt for one.

Use AskUserQuestion with options to gauge clarity:

  • clear — Goal is specific and actionable (e.g., "add JWT auth to the API")
  • vague — Goal exists but needs narrowing (e.g., "improve security")
  • exploring — No firm goal yet, just a direction (e.g., "something with auth")

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).

Phase 2: Understand the Idea

Answer these questions (use codebase exploration as needed):

  1. What problem does this solve? — State the pain point in concrete terms.
  2. Who benefits? — End users, developers, operators, CI pipeline?
  3. What exists today? — Current state, prior art in the codebase, adjacent systems.
  4. What constraints matter? — Performance, compatibility, security, timeline.

Summarize findings before moving on. If anything is unclear, ask the user.

Phase 3: Explore Approaches

Generate 2-3 distinct approaches. For each:

  • Name — Short label (e.g., "JWT middleware", "OAuth proxy", "Session cookies")
  • How it works — 2-3 sentences
  • Pros — What it gets right
  • Cons — What it gets wrong or defers
  • Effort — Rough scope (small / medium / large)

Phase 3b: Adversarial Critique

Before asking the user to choose, stress-test each approach:

For each approach, answer these red team questions (read references/red-team-checklist.md):

  1. What breaks first? — Under load, edge cases, or adversarial input
  2. What's the hidden cost? — Maintenance burden, technical debt, learning curve
  3. What assumption is wrong? — The unstated belief that makes this approach seem good
  4. Who disagrees? — What would a senior engineer with the opposite preference say?

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.

Phase 4: Capture Design

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.


Termination

Phase 4 output written = done. No further phases, no loops.

Validation

After writing the output file, verify:

  1. File exists at the expected path
  2. All 5 sections (Problem Statement, Approaches Considered, Selected Approach, Open Questions, Next Step: /plan) are present and non-empty

Report the file path to the user.


Examples

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

Troubleshooting

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").

See Also

Reference Documents

how to use brainstorm

How to use brainstorm on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add brainstorm
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/boshu2/agentops --skill brainstorm

The skills CLI fetches brainstorm from GitHub repository boshu2/agentops and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/brainstorm

Reload or restart Cursor to activate brainstorm. Access the skill through slash commands (e.g., /brainstorm) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ 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.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.637 reviews
  • Nikhil Harris· Dec 20, 2024

    Keeps context tight: brainstorm is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Pratham Ware· Dec 4, 2024

    I recommend brainstorm for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • James Harris· Nov 11, 2024

    brainstorm is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Xiao Sharma· Oct 2, 2024

    Useful defaults in brainstorm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Yash Thakker· Sep 25, 2024

    Useful defaults in brainstorm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Daniel Mensah· Sep 25, 2024

    brainstorm fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Nikhil Gonzalez· Sep 9, 2024

    Registry listing for brainstorm matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Xiao Reddy· Sep 1, 2024

    brainstorm is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Nikhil Rahman· Aug 28, 2024

    brainstorm fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Kaira Kapoor· Aug 20, 2024

    Useful defaults in brainstorm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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