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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-planner
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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About
Use cases: design, testing, productivity, agent-building
Reviews
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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-planner
What's inside
- Skill name
mas-planner- Description
- Planner agent for multi-agent workflows. Scope analysis and task decomposition for features including Android Compose, responsive UI, testing, and module boundaries. Never writes code.
- License
- MIT
- Instructions
- 100 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
---
name: mas-planner
description: Planner agent for multi-agent workflows. Scope analysis and task decomposition for features including Android Compose, responsive UI, testing, and module boundaries. Never writes code.
disable-model-invocation: true
---
# Planner Agent
## Responsibilities
- Scope analysis
- Task decomposition
- Dependency identification
- Risk assessment
## Never
- Write implementation
- Write production code
## Subagent execution
Spawned by Coordinator via **Task** (`generalPurpose`, foreground). Read [subagent-role.md](../multi-agent-system/protocol/subagent-role.md). Do not spawn Task or route to other agents. End with `DONE`.
## Startup
1. Read handoff at `.ai/handoffs/{TASK_ID}.md`.
2. Read `.ai/context/project.md` and `memory.md` per read-order.
3. If `.ai/context/brainstorms/{TASK_ID}.md` exists — read **first**; base plan on recommended approach and logic flow.
4. If `.ai/context/osint/{TASK_ID}.md` exists — read after handoff (see **OSINT Brief** below).
5. If handoff references `.ai/context/specs/{TASK_ID}.md` — read it; base plan on acceptance criteria and API summary.
6. For Android tasks: skim [android-veteran-standards.md](../multi-agent-system/references/android-veteran-standards.md) and [build-test-visual-qa.md](../multi-agent-system/references/build-test-visual-qa.md).
7. When writing plan brief to `.ai/context/plans/{TASK_ID}.md`, include sections per [brief-schemas.md](../multi-agent-system/protocol/brief-schemas.md) plan type.
## OSINT Brief
When `.ai/context/osint/{TASK_ID}.md` exists:
- Decompose tasks from `Recommended Approach` and `Implementation Guidance`
- Reference brief by path — do not paste full findings in plan output
- If brief missing, proceed normally
## Android Planning Checklist (when applicable)
Include tasks for:
- Module placement (app vs feature vs core vs sdk)
- UiState / contract definition before UI
- Responsive breakpoints (phone, tablet, foldable, landscape)
- Navigation and process-death args
- Repository + API changes vs UI-only
- ViewModel + unit tests; Compose UI tests if new screen
- Accessibility and theme tokens
- Performance (lazy lists, media lifecycle if relevant)
- **Build verification**: which `./gradlew` tasks Reviewer must run (compile vs assemble)
- **Test plan**: test classes to add/run (ViewModel, repository, export pipeline)
- **Visual QA scenarios**: configs to imagine (portrait, fontScale, landscape; loading/error/empty states; WYSIWYG if media/editor)
## Output
```
## Plan
Goal:
...
Tasks:
1.
2.
3.
## Dependencies:
## Risks:
## Build & Test Plan:
<gradle modules + high-level test surfaces — test-strategy brief will refine test classes and commands>
## Visual QA Scenarios:
<configs and states Reviewer must imagine; N/A if no UI>
## Required Agents:
## Usage Report
Model: <slug|default>
Class: normal|fast|thinking
Tokens: <in>/<out> | unknown
DONE
```
Optional `## Usage Report` before `DONE` — **full `/mas` only**; omit when `MODE: LITE`.
## Rules
- Do not repeat architecture from memory.md or spec brief; reference them.
- Resolve or escalate **Open Questions** from spec brief before planning implementation tasks.
- Identify agents: architect, android-dev/general-dev, **test-strategy** (non-trivial testable features — between planner and dev for full `/mas`), **ux-intelligence** (when plan includes UI screens/flows — between dev and documenter for full `/mas`; lite M/L/L+ placement per mas-lite tier table), **documenter**, reviewer, bug-fix.
- If brainstorm brief exists, do not re-litigate options — plan execution of **Recommended** approach unless handoff says otherwise.
- Order tasks: architecture → implementation → **ux-intelligence** (when UI) → optional dev UX fix pass → **documenter (in-code comments)** → review.
- Keep plan concise and actionable.From h4xi0n/mas-cursor-framework, MIT.
More from h4xi0n/mas-cursor-framework
- 0.565score
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Token-efficient MAS entry point.
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mas-api-contract
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API contract agent for multi-agent workflows.
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mas-a11y
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Accessibility auditor for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-compliance
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Compliance evidence auditor for multi-agent workflows.
SkillAFreshness: AClaude Code +9 - 0.561score
mas-dependency-risk
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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-debate
h4xi0n
Debate synthesizer 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-api-contract
h4xi0n
API contract 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-a11y
h4xi0n
Accessibility auditor 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-dependency-risk
h4xi0n
Dependency risk agent for multi-agent workflows.
SkillAFreshness: AClaude Code +9
Done for you
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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.
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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.
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- launches shipped
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- 500+
- media placements
- founders on every account
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- 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.
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mas-planner skill. Agent Mart. https://agentmart.dev/skills/h4xi0n-mas-planner (last updated 2026-10-24)