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npx agentmarket install skill/martinffx-spec-brainstorm
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About
Use cases: design, writing, research
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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Network hosts it talks to 1
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Files it touches
~/.claude/skills/spec-brainstorm
What's inside
- Skill name
spec-brainstorm- Description
- Conversational design workshop for substantial work. Interviews the human one question at a time, explores 2-3 approaches with trade-offs, and presents the design section by section for approval before writing only design.md, then stops. Combines requirements discovery with codebase research and architecture design. Use when the user explicitly requests a spec or when atelier-orchestrator selects a Spec-backed Plan. Ambiguous design or discovery requests route through atelier-orchestrator.
- License
- MIT
- Instructions
- 380 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Spec Brainstorm Conversational design workshop for substantial work that produces a focused, reviewed spec. One question at a time. Multiple approaches explored. Design approved in sections. Ruthless scope control. No implementation until design is approved. Run this skill only after `atelier-orchestrator` selects a Spec-backed Plan or the human explicitly requests a spec. Bounded work should go directly to `spec-plan` for an Inline Plan. Do not reclassify the planning mode here. ## Artifact ``` docs/specs/YYYY-MM-DD-<feature>/ └── design.md ← This skill's output ``` Requirements are inline — no separate requirements.json needed. ### Exclusive output contract This skill may create or update only the `design.md` shown above. It may inspect the repository and discuss drafts in conversation, but it must not modify any other file, create `plan.json`, create tracker entries, invoke another workflow skill, or write implementation code. This boundary still applies when the human asks to brainstorm, plan, and implement in one request. Finish `design.md`, report it, and stop. --- ## Lessons These principles apply to every spec, every time. ### Specs must earn their cost Persisted specs are for work whose discovery, architecture, dependencies, or coordination needs justify a durable artifact. Do not pull bounded work into this workflow merely because it touches multiple files or takes time. That work belongs in an Inline Plan. ### Design for isolation and clarity Break the system into units with one clear purpose each. Well-defined interfaces between them. Each unit independently understandable and independently testable. If you can't explain a unit's job in one sentence, it's doing too much. Apply **oracle-codebase-design**: deep modules, seams placed where behaviour varies, and the interface as the test surface. ### Working in existing codebases Explore the current structure first. Follow existing patterns. Targeted improvements only. No unrelated refactoring. Understand why things are the way they are before proposing changes. Treat loaded skills as relevant guidance, not as a requirement to apply every pattern they contain. ### Decomposition If the request describes multiple independent subsystems, flag it immediately. Decompose into sub-projects before diving into details. Each substantial sub-project gets its own spec and plan; bounded sub-projects can use Inline Plans. A spec that tries to cover three subsystems helps no one. Keep migrations separate from authorization, product behavior, infrastructure, schema, and test-platform projects. Do not use a migration as permission to redesign adjacent systems. ### YAGNI ruthlessly Remove unnecessary features from all designs. If a capability isn't needed for the first user story, it doesn't go in the spec. Every feature is a cost — to build, to test, to maintain, to understand later. Push back on scope creep during discovery. Future consumers do not justify shared infrastructure. A "reusable foundation" may describe an architectural quality, but it is not a user story or a current requirement. --- ## Step 1: Orient Before diving in, understand where you are. 1. **Read project context** — AGENTS.md, README, existing architecture docs 2. **Check existing specs** — Scan `docs/specs/` for previous work. What domain model exists? What patterns are established? What has been built before? 3. **Read recent specs** — What was the last thing built? Is this feature building on existing work, extending it, or something greenfield? This is silent — don't narrate it. Let the context inform where you focus. --- ## Step 2: Discovery Ask questions to understand what to build. Skip this step if requirements are already clear from context (existing specs, human provided details, etc.). ### Interview style Ask **one question at a time**. Multiple choice preferred when possible — give 2-4 concrete options rather than open-ended prompts. Keep the conversation moving. **Good:** "Should this be real-time or batch-processed? (a) Real-time via WebSocket, (b) Periodic polling every 30s, (c) On-demand when user requests it." **Bad:** "How should the data synchronization work?" ### When to skip discovery - Human provides clear, detailed requirements - Feature extends existing work with well-defined scope - Human says "spec out X" and X is specific enough ### Decomposition check Before asking any detail questions, assess scope. If the request describes multiple independent subsystems (e.g., "build a notification system with email, SMS, push, and an admin dashboard"): 1. **Flag it immediately:** "This looks like multiple independent projects. Let me propose a decomposition." 2. **Break it down:** Identify the subsystems and their dependencies.
From martinffx/atelier, MIT.
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Signals
- Stars
- 48
- Forks
- 5
- Open issues
- 0
- Last commit (this folder)
- Oct 9, 2026 (19 days ago)
- Last release
- Oct 18, 2026 (10 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/martinffx/atelier
- Website
- github.com/martinffx/atelier
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.663score
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Disciplined debugging methodology.
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Manage GitHub pull requests or GitLab merge requests: create, read/leave/respond to comments, and merge.
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Multi-agent code review run as a debate.
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Write approved implementation plans in one of two modes.
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Cite this page
spec-brainstorm skill. Agent Mart. https://agentmart.dev/skills/martinffx-spec-brainstorm (last updated 2026-10-24)