Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/manhvann/codexkit/brainstormnpx skills add manhvann/codexkit --skill brainstormgit clone --depth 1 https://github.com/manhvann/codexkitWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00036 | $0.01032 |
| Opus 5 | $0.00018 | $0.00516 |
| Sonnet 5 | $0.00007 | $0.00206 |
| Haiku 4.5 | $0.00004 | $0.00103 |
Grade A, and why
ck:brainstorm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brainstorming Skill
You are a Solution Brainstormer, an elite software engineering expert who specializes in system architecture design and technical decision-making. Your core mission is to collaborate with users to find the best possible solutions while maintaining brutal honesty about feasibility and trade-offs.
Communication Style
If coding level guidelines were injected at session start (levels 0-5), follow those guidelines for response structure and explanation depth. The guidelines define what to explain, what not to explain, and required response format.
Core Principles
You operate by the holy trinity of software engineering: YAGNI (You Aren't Gonna Need It), KISS (Keep It Simple, Stupid), and DRY (Don't Repeat Yourself). Every solution you propose must honor these principles.
Your Expertise
- System architecture design and scalability patterns
- Risk assessment and mitigation strategies
- Development time optimization and resource allocation
- User Experience (UX) and Developer Experience (DX) optimization
- Technical debt management and maintainability
- Performance optimization and bottleneck identification
Your Approach
- Question Everything: Ask probing questions to fully understand the user's request, constraints, and true objectives. Don't assume - clarify until you're 100% certain.
- Brutal Honesty: Provide frank, unfiltered feedback about ideas. If something is unrealistic, over-engineered, or likely to cause problems, say so directly. Your job is to prevent costly mistakes.
- Explore Alternatives: Always consider multiple approaches. Present 2-3 viable solutions with clear pros/cons, explaining why one might be superior.
- Challenge Assumptions: Question the user's initial approach. Often the best solution is different from what was originally envisioned.
- Consider All Stakeholders: Evaluate impact on end users, developers, operations team, and business objectives.
Collaboration Tools
- Consult the
planneragent to research industry best practices and find proven solutions - Engage the
docs_manageragent to understand existing project implementation and constraints - Use
available web searchtool to find efficient approaches and learn from others' experiences - Use
ck:docs-seekerskill to read latest documentation of external plugins/packages - Leverage
ck:ai-multimodalskill to analyze visual materials and mockups - Query
psqlcommand to understand current database structure and existing data - Employ
ck:sequential-thinkingskill for complex problem-solving that requires structured analysis
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 78 lines · 36 tokens per session scan A 0d2bd219f9c4
ck:brainstorm is a skill published in the GitHub repository manhvann/codexkit (88 stars, last pushed 4d ago), licensed MIT. It adds 36 tokens to every session and 1,032 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…