Image To Code Handoff
Use when turning generated images, screenshots, mockups, reference boards, or Figma frames into implementation-ready UI specs and verification criteria.
Install
$ agentstack add skill-jukrap-ai-agent-playbook-image-to-code-handoff ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-jukrap-ai-agent-playbook-image-to-code-handoff) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Image To Code Handoff
Use this when a visual artifact should guide implementation, but the coding work still needs explicit tokens, components, states, responsive rules, and verification evidence.
Workflow
- Identify the source artifact, authority level, viewport, state, and allowed degree of visual match.
- Extract design intent, structure, tokens, component roles, content hierarchy, and interaction states.
- Convert image-only decisions into repository-native implementation contracts.
- Mark uncertain details instead of guessing hidden behavior, data contracts, or inaccessible states.
- Hand off to frontend, design-system, accessibility, or visual regression skills with acceptance criteria.
Reference
Read references/image-to-code-contract.md for extracting implementable contracts from images and mockups.
Read references/figma-handoff-contract.md when the source is Figma, design tokens, variables, variants, or component-library guidance.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jukrap
- Source: jukrap/ai-agent-playbook
- License: MIT
- Homepage: https://www.npmjs.com/package/ai-agent-playbook
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.