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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/duc01226/easyplatform --skill design-screenshot- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads design-screenshot automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
<!-- CODEX:PROJECT-REFERENCE-LOADING:START -->Codex compatibility note:
- Invoke repository skills with
$skill-namein Codex; this mirrored copy rewrites legacy Claude/skill-namereferences.- Task tracker mandate: BEFORE executing any workflow or skill step, create/update task tracking for all steps and keep it synchronized as progress changes.
- User-question prompts mean to ask the user directly in Codex.
- Ignore Claude-specific mode-switch instructions when they appear.
- Strict execution contract: when a user explicitly invokes a skill, execute that skill protocol as written.
- Subagent authorization: when a skill is user-invoked or AI-detected and its protocol requires subagents, that skill activation authorizes use of the required
spawn_agentsubagent(s) for that task.- Do not skip, reorder, or merge protocol steps unless the user explicitly approves the deviation first.
- For workflow skills, execute each listed child-skill step explicitly and report step-by-step evidence.
- If a required step/tool cannot run in this environment, stop and ask the user before adapting.
Codex Project-Reference Loading (No Hooks)
Codex does not receive Claude hook-based doc injection. When coding, planning, debugging, testing, or reviewing, open project docs explicitly using this routing.
Always read:
docs/project-config.json(project-specific paths, commands, modules, and workflow/test settings)docs/project-reference/docs-index-reference.md(routes to the fulldocs/project-reference/*catalog)docs/project-reference/lessons.md(always-on guardrails and anti-patterns)
Situation-based docs:
- Backend/CQRS/API/domain/entity changes:
backend-patterns-reference.md,domain-entities-reference.md,project-structure-reference.md - Frontend/UI/styling/design-system:
frontend-patterns-reference.md,scss-styling-guide.md,design-system/README.md - Spec/test-case planning or TC mapping:
feature-docs-reference.md - Integration test implementation/review:
integration-test-reference.md - E2E test implementation/review:
e2e-test-reference.md - Code review/audit work:
code-review-rules.mdplus domain docs above based on changed files
Do not read all docs blindly. Start from docs-index-reference.md, then open only relevant files for the task.
Quick Summary
Goal: Analyze a screenshot and recreate the design as functional code.
Workflow:
- Analyze — Process screenshot with vision capabilities
- Research — Run
ui-ux-pro-maxfor matching design patterns - Implement — Recreate the design as code using design subagent
Key Rules:
- Always activate
ui-ux-pro-maxFIRST for design intelligence - Match the screenshot as closely as possible
- Use
ai-multimodalfor detailed screenshot analysis
Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).
Required Skills (Priority Order)
ui-ux-pro-max- Design intelligence database (ALWAYS ACTIVATE FIRST)frontend-design- Screenshot analysis and replication
Ensure token efficiency while maintaining high quality.
Workflow:
- Use
ai-multimodalskills to describe super details of the screenshot (design style, trends, fonts, colors, border, spacing, elements' positions, size, shape, texture, material, light, shadow, reflection, refraction, blur, glow, image, background transparency, transition, etc.)- IMPORTANT: Try to predict the font name (Google Fonts) and font size in the given screenshot, don't just use Inter or Poppins.
- Use
ui-ux-designersubagent to create a design plan following the progressive disclosure structure so the final result matches the screenshot:- Create a directory using naming pattern from
## Namingsection. - Save the overview access point at
plan.md, keep it generic, under 80 lines, and list each phase with status/progress and links. - For each phase, add
phase-XX-phase-name.mdfiles containing sections (Context links, Overview with date/priority/statuses, Key Insights, Requirements, Architecture, Related code files, Implementation Steps, Todo list, Success Criteria, Risk Assessment, Security Considerations, Next steps). - Keep every research markdown report concise (≤150 lines) while covering all requested topics and citations.
- Create a directory using naming pattern from
- Then implement the plan step by step.
- If user doesn't specify, create the design in pure HTML/CSS/JS.
- Report back to user with a summary of the changes and explain everything briefly, ask user to review the changes and approve them.
- If user approves the changes, update the
./docs/design-guidelines.mddocs if needed.
Important Notes:
- ALWAYS REMEBER that you have the skills of a top-tier UI/UX Designer who won a lot of awards on Dribbble, Behance, Awwwards, Mobbin, TheFWA.
- Remember that you have the capability to generate images, videos, edit images, etc. with ai-multimodal skill for image generation. Use them to create the design with real assets.
- Always review, analyze and double check the generated assets with ai-multimodal skill to verify quality.
- Use
media-processingskill (RMBG) to remove background from generated assets if needed. - Create storytelling designs, immersive 3D experiences, micro-interactions, and interactive interfaces.
- Maintain and update
./docs/design-guidelines.mddocs if needed.
[IMPORTANT] Use task tracking to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.
Think hard to plan & start designing follow exactly this screenshot: <screenshot>$ARGUMENTS</screenshot>
<!-- SYNC:ai-mistake-prevention -->Skill Variant: Variant of design skills — recreate/implement from screenshot.
<!-- /SYNC:ai-mistake-prevention --> <!-- SYNC:critical-thinking-mindset -->AI Mistake Prevention — Failure modes to avoid on every task:
Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal. Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing. Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain. Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path. When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site. Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code. Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks. Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis. Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly. Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
<!-- /SYNC:critical-thinking-mindset --> <!-- SYNC:critical-thinking-mindset:reminder -->Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
<!-- /SYNC:critical-thinking-mindset:reminder --> <!-- SYNC:ai-mistake-prevention:reminder -->MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.
<!-- /SYNC:ai-mistake-prevention:reminder -->Closing Reminders
- MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using task tracking BEFORE starting
- MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
- MANDATORY IMPORTANT MUST ATTENTION cite
file:lineevidence for every claim (confidence >80% to act) - MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using task tracking.
<!-- CODEX:SYNC-PROMPT-PROTOCOLS:START -->Hookless Prompt Protocol Mirror (Auto-Synced)
Source: .claude/hooks/lib/prompt-injections.cjs + .claude/.ck.json
[WORKFLOW-EXECUTION-PROTOCOL] [BLOCKING] Workflow Execution Protocol — MANDATORY IMPORTANT MUST CRITICAL. Do not skip for any reason.
Generic portability boundary: Reusable skills and protocol text stay project-neutral; project-specific conventions are discovered from docs/project-config.json and docs/project-reference/. Apply shared AI-SDD from shared/sdd-artifact-contract.md. Read docs/project-config.json and docs/project-reference/docs-index-reference.md, then open the project reference docs named there. Any supported AI tool may execute when this shared context and local docs are available.
- DETECT: Match prompt against workflow catalog
- ANALYZE: Find best-match workflow AND evaluate if a custom step combination would fit better
- ASK (REQUIRED FORMAT): Use a direct user question with this structure unless the user explicitly invoked a workflow/skill and the local protocol treats explicit invocation as confirmation:
- Question: "Which workflow do you want to activate?"
- Option 1: "Activate [BestMatch Workflow] (Recommended)"
- Option 2: "Activate custom workflow: [step1 → step2 → ...]" (include one-line rationale)
- ACTIVATE (if confirmed): Call
$workflow-start <workflowId>for standard; sequence custom steps manually - CREATE TASKS: task tracking for ALL workflow steps
- EXECUTE: Follow each step in sequence [CRITICAL-THINKING-MINDSET] Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination principle: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination. AI Attention principle (Primacy-Recency): Put the 3 most critical rules at both top and bottom of long prompts/protocols so instruction adherence survives long context windows. Goal-driven execution: Define success criteria first, loop until verified, and stop only when observable checks pass. Tests verify intent: Tests must protect business rules/invariants and fail when the protected intent breaks, not only mirror current behavior.
[LESSON-LEARNED-REMINDER] [BLOCKING] Task Planning & Continuous Improvement — MANDATORY. Do not skip.
Break work into small tasks (task tracking) before starting. Add final task: "Analyze AI mistakes & lessons learned".
Extract lessons — ROOT CAUSE ONLY, not symptom fixes:
- Name the FAILURE MODE (reasoning/assumption failure), not symptom — "assumed API existed without reading source" not "used wrong enum value".
- Generality test: does this failure mode apply to ≥3 contexts/codebases? If not, abstract one level up.
- Write as a universal rule — strip project-specific names/paths/classes. Useful on any codebase.
- Consolidate: multiple mistakes sharing one failure mode → ONE lesson.
- Recurrence gate: "Would this recur in future session WITHOUT this reminder?" — No → skip
$learn. - Auto-fix gate: "Could
$code-review/$code-simplifier/$security/$lintcatch this?" — Yes → improve review skill instead. - BOTH gates pass → ask user to run
$learn. [TASK-PLANNING] [MANDATORY] BEFORE executing any workflow or skill step, create/update task tracking for all planned steps, then keep it synchronized as each step starts/completes.
FAQ
What does the design-screenshot skill do?
[Design] Use when you need to create a design based on screenshot.
How do I install design-screenshot?
Run npx skills add https://github.com/duc01226/easyplatform --skill design-screenshot in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/design-screenshot/ (personal) or .claude/skills/design-screenshot/ (project).
Which AI agents can use design-screenshot?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is design-screenshot safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains design-screenshot?
It is published by duc01226 in duc01226/easyplatform. It has 48 recorded installs.
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