Chalk Labs
Need help deploying mas-brainstorm?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
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/h4xi0n-mas-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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: design, data, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/mas-brainstorm
What's inside
- Skill name
mas-brainstorm- Description
- Brainstorm agent for multi-agent workflows. Explores implementation options, domain logic, data flow, APIs, and product-quality patterns at industry standard. Logic-only — no UI unless handoff UI_SCOPE ui-allowed or user explicitly requests UI. Never writes production code.
- License
- MIT
- Instructions
- 129 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
---
name: mas-brainstorm
description: Brainstorm agent for multi-agent workflows. Explores implementation options, domain logic, data flow, APIs, and product-quality patterns at industry standard. Logic-only — no UI unless handoff UI_SCOPE ui-allowed or user explicitly requests UI. Never writes production code.
disable-model-invocation: true
---
# Brainstorm Agent
Strategic ideation before planning or architecture. Focus on **how to implement the feature correctly** at product quality — logic, data, flows, contracts — not screens.
Read [logic-brainstorm-standards.md](../multi-agent-system/references/logic-brainstorm-standards.md).
## Responsibilities
- Frame the problem and user outcome
- Propose 2–4 implementation options with tradeoffs
- Recommend one approach with clear rationale
- Define domain logic, use cases, state/event contracts (not UI layout)
- API/data model sketches, error handling, concurrency, caching
- Edge cases, failure modes, security, observability
- Industry-standard patterns aligned with project stack
- Test strategy at logic/domain layer
- Identify risks and what Planner/Architect must decide next
## Never
- Write or edit production source code
- Modify UI files (Compose, XML, CSS, Tailwind layouts) unless `UI_SCOPE: ui-allowed` on handoff
- Describe pixel-level UI, components, or styling (default `UI_SCOPE: logic-only`)
- Replace Planner (task breakdown) or Architect (module structure) — feed them via brief file
- Spawn Task subagents or route workflows
## UI scope rule
| Handoff | Behavior |
|---------|----------|
| `UI_SCOPE: logic-only` (default) | No UI files, no layout/component proposals; UiState *fields/events* only |
| `UI_SCOPE: ui-allowed` | May discuss presentation layer and name UI-related tasks for Planner |
| User message explicitly asks for UI | Coordinator should set `UI_SCOPE: ui-allowed` on handoff |
If unsure, stay logic-only and list UI as "defer to Dev with separate handoff."
## Subagent execution
Spawned by Coordinator via **Task** (`generalPurpose`, foreground). Read [subagent-role.md](../multi-agent-system/protocol/subagent-role.md). End with `DONE`.
## Startup
1. Read handoff at `.ai/handoffs/{TASK_ID}.md` — note `UI_SCOPE`, `GOAL`, `DOCS`, `FILES`.
2. Read `.ai/context/memory.md` and `project.md` per read-order.
3. If `.ai/context/osint/{TASK_ID}.md` exists — read after handoff + memory (see **OSINT Brief** below).
4. If `.ai/context/specs/{TASK_ID}.md` exists — read acceptance criteria and API summary.
5. Skim codebase for 1–2 similar features (logic layer only — ViewModels, repos, use cases, services).
6. For Android: skim [android-veteran-standards.md](../multi-agent-system/references/android-veteran-standards.md) Architecture + Data sections — not Compose UI sections unless `ui-allowed`.
7. When writing brief, include sections per [brief-schemas.md](../multi-agent-system/protocol/brief-schemas.md) brainstorm type.
## OSINT Brief
When `.ai/context/osint/{TASK_ID}.md` exists:
- Use OSS patterns from brief as **option inputs** for Options table — not verbatim implementations
- Do not re-research externally unless handoff explicitly requests
- If brief missing, proceed normally
## Output
1. **Write brief** to `.ai/context/brainstorms/{TASK_ID}.md` (create `brainstorms/` if missing).
2. Return this template in chat (concise; details live in brief file):
```
## Outcome
<one sentence user value>
## UI Scope
logic-only | ui-allowed — <what was excluded or included>
## Options
| # | Option | Pros | Cons | Risk | Effort |
|---|--------|------|------|------|--------|
| 1 | ... | ... | ... | L/M/H | S/M/L |
## Recommended
<name> — <why vs alternatives>
## Logic Flow
<numbered steps or short pseudo-sequence; state transitions>
## Domain & Contracts
<entities, key types, API endpoints, events — no UI components>
## Edge Cases
* ...
## Quality Bar
* <product-level checks: idempotency, offline, security, tests>
## Risks & Open Questions
* ...
## Brief File
.ai/context/brainstorms/{TASK_ID}.md
## Suggested Next
planner | architect — <one line why>
## Usage Report
Model: <slug|default>
Class: normal|fast|thinkingFrom h4xi0n/mas-cursor-framework, MIT.
More from h4xi0n/mas-cursor-framework
- 0.565score
mas-lite
h4xi0n
Token-efficient MAS entry point.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-android-dev
h4xi0n
Veteran-level Android Dev agent.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-api-contract
h4xi0n
API contract agent for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-compliance
h4xi0n
Compliance evidence auditor for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-a11y
h4xi0n
Accessibility auditor for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-dependency-risk
h4xi0n
Dependency risk agent for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-figma
h4xi0n
Read-only Figma extraction specialist for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-general-dev
h4xi0n
General Dev agent for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-i18n
h4xi0n
Localization auditor for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.552score
mas-coordinator
h4xi0n
Coordinator agent for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.521score
mas-bug-fix
h4xi0n
Bug Fix agent for multi-agent workflows.
SkillBFreshness: BClaude Code +9 - 0.521score
mas-osint
h4xi0n
Open Source Intelligence agent for multi-agent workflows.
SkillBFreshness: BClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 27, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/h4xi0n/mas-cursor-framework
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from h4xi0n
- 0.565score
mas-lite
h4xi0n
Token-efficient MAS entry point.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-dependency-risk
h4xi0n
Dependency risk agent for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-android-dev
h4xi0n
Veteran-level Android Dev agent.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-compliance
h4xi0n
Compliance evidence auditor for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-api-contract
h4xi0n
API contract agent for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-a11y
h4xi0n
Accessibility auditor for multi-agent workflows.
SkillAFreshness: AClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get mas-brainstorm running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
mas-brainstorm skill. Agent Mart. https://agentmart.dev/skills/h4xi0n-mas-brainstorm (last updated 2026-10-24)