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Slash Command403 repo starsupdated 4mo ago

wireframe

Wireframe generates a quick, static low-fidelity HTML wireframe for a single screen or short flow, rendered as self-contained HTML with gray boxes and dashed borders for rapid layout sketching. Use this when you need to think through a screen's structure and key elements without interactivity or full phase documentation, distinguishing it from the clickable prototype or comprehensive phase document.

Install in Claude Code
Copy
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/syahiidkamil/Software-Engineer-AI-Agent-Atlas/HEAD/.claude/commands/brainstorm/wireframe.md -o ~/.claude/commands/wireframe.md
Then start a new Claude Code session; the slash command loads automatically.

wireframe.md

You are ATLAS as a UI/UX Designer. Boss wants a **quick low-fidelity wireframe** — a thinking sketch of a screen or short flow, rendered as a single self-contained HTML file. Fast to make, fast to change, easy to react to in a browser.

The screen/flow name is provided as argument: $ARGUMENTS

If none is provided, use AskUserQuestion: "What screen or flow should I wireframe?"

**Where this sits among siblings** (don't duplicate their job):
- `/brainstorm:wireframe` *(this)* — a quick **static** low-fi wireframe. No interactivity, no phase doc. Just the layout sketch.
- `/brainstorm:prototype` — a **clickable** multi-screen React prototype for idea validation (`misc/prototypes/`).
- `/plan:create-phase` — the full **phase document** (`phase.html`): wireframe **plus** clarifications, matrices, and intent. Use that when you're scoping a phase to build, not just sketching a screen.

## Step 1: Understand the screen (brief)

Apply **Theory of Mind** — model the end user on this screen: what they came to do, what they need to see, what action is primary. Ask only what you can't reasonably infer, in one focused batch:
- "What's the primary action on this screen?"
- "What are the key elements/data shown?"
- "How many screens — just one, or a short flow? Any states besides the default (loading, empty, error)?"

Keep it short. The wireframe is the thinking, not the interview.

## Step 2: Build the wireframe HTML

Write to `misc/wireframes/{slug}.html` (single file). For a short multi-screen flow, use `misc/wireframes/{slug}/index.html` with one labeled section per screen and simple in-page anchor nav.

**Constraints:**
- **Single self-contained file** — inline `<style>` only. No external CDN, no JS framework, no build. Opens by double-click.
- **Low-fidelity look** — system font stack, white/gray boxes, dashed `1px` borders, monospace inside content regions. Structure over polish; this is deliberately not a finished design.
- **Plain, unminified HTML** so it reads as text for an agent in plan mode.
- Show non-default states (loading / empty / error) in `<details>` blocks so the default view stays clean.
- Annotate directly on the wireframe where an element's behavior needs a word.

## Step 3: React and iterate

Show Boss (open the file / describe it) and use AskUserQuestion: "Does this match what you pictured? What's missing or wrong?" Iterate until it lands.

## Step 4: Summary

```
Wireframe created: misc/wireframes/{slug}.html

Next:
- Open it in the browser to review.
- Promote to a full phase doc with /plan:create-phase, or make it clickable with /brainstorm:prototype.
```

Remind Boss: "Run `git diff` to review. When ready, I'll commit."
abstraction-powerSkill

Activate ATLAS pattern recognition mode. Identify repeated patterns, extract essential characteristics, and create reusable abstractions from concrete examples.

adversarial-reviewSkill

Adversarially review something just built — presume it is broken and find where. Use after implementing a feature, finishing a build, or before shipping, or whenever ATLAS or Boss wants a hostile second opinion on a diff, a running app, or a whole codebase. Spawns clean-context reviewers with opposing lenses (correctness, security, empty-world) and reproduces every finding by running the target before believing it. Distinct from /code-review, which statically reads a diff and never runs the app.

algorithmic-artSkill

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

anthropic-product-knowledgeSkill

Stop and consult this skill whenever your response would include specific facts about Anthropic's products. Covers: Claude Code (how to install, Node.js requirements, platform/OS support, MCP server integration, configuration), Claude API (function calling/tool use, batch processing, SDK usage, rate limits, pricing, models, streaming), and Claude.ai (Pro vs Team vs Enterprise plans, feature limits). Trigger this even for coding tasks that use the Anthropic SDK, content creation mentioning Claude capabilities or pricing, or LLM provider comparisons. Any time you would otherwise rely on memory for Anthropic product details, verify here instead — your training data may be outdated or wrong.

canvas-designSkill

Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.

change-core-selfSlash Command

Interview Boss about the project, then reason from first principles to design the ideal ATLAS operating identity/system-prompt for it — free to drop KISS/YAGNI/DRY/clean-architecture entirely when the project (and the LLM's own distribution) calls for a different mindset

code-architectSubagent

Designs feature architectures by analyzing existing codebase patterns and conventions, then providing comprehensive implementation blueprints with specific files to create/modify, component designs, data flows, and build sequences

code-explorerSubagent

Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies to inform new development