Spectr: An MCP That Writes App Specs from Screen Recordings for Pixel-Perfect Claude Clones
u/thanpolas' post "the trick was the spec, not the prompts" hit home for many developers using Claude to clone iOS apps. The bottleneck wasn't prompting — it was describing the UI. Each screen required ~30 minutes of prose, and Claude would still get it wrong, requiring three iterations per screen.
Enter Spectr — an MCP (Model Context Protocol) tool that takes any .mp4 or .mov recording of an iOS app and outputs a spec.md automatically. The Vision processing runs through your Claude subscription (no separate API key needed). Each recording takes 5–10 minutes to process.
What the Spec Contains
The generated spec is a 7-section document covering:
- Exact hex color codes
- Exact font weights
- Exact spacing values
- Every screen state
- Every transition
- Component inventory
- Navigation graph
This level of detail is precise enough that Claude's /goal mode can produce a pixel-perfect clone unattended.
Three Install Surfaces
Spectr ships as:
- MCP server — works in Claude Code, Claude Desktop, and any MCP-compatible host
- CLI — run
spectr ./recording.mp4 ./spec.md - Claude Code skill — triggered with natural language, no command memorization
The project is by u/Working-Middle2582. A gallery of real specs produced from real iOS apps is available at spectr.to/gallery. The author is asking for honest feedback — no hype, just roast it.
This is a practical solution for anyone who's tired of spending hours manually documenting UI specs for AI coding agents. If you've been cloning apps with Claude, the spec, not the prompt, was likely your bottleneck.
📖 Read the full source: r/ClaudeAI
👀 See Also
Claude wrote 3,000 lines of code instead of importing pywikibot — a case study in AI agents ignoring existing libraries
A developer tasked Claude Code (Opus 4.7) with fixing typos on Fandom wikis. The model wrote ~3,000 lines of Python reimplementing pywikibot, mwparserfromhell, and RETF rules rather than importing them. The post explores why this happens and how a two-minute search reduced the codebase to 1,259 lines.
Proactive Context-Rot Detection in Claude Code: A Feature Suggestion from r/ClaudeAI
A Reddit feature suggestion proposes that Claude Code proactively detect context rot and offer a structured task-scoped handoff, generating a handoff file and spawning a new session automatically.
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Zora: Offline-First AI Agent with Default-Deny Security and Local Memory
Zora is an AI agent that runs fully offline via Ollama by default, starts with zero access permissions, and maintains persistent memory across sessions. It addresses security and cost issues seen in other agents.