shinpr/claude-code-workflows-recipe-front-design
Execute from codebase analysis to frontend design document creation
This is a copy. The original lives at shinpr/recipe-front-design.
npx skills add https://github.com/shinpr/claude-code-workflows --skill recipe-front-design
Execute Skill: llm-friendly-context before writing Agent prompts, handoffs, or generated artifacts.
Execute Skill: subagents-orchestration-guide before making workflow decisions, invoking agents, or resolving findings.
Context: Dedicated to the frontend design phase.
Core Identity: "I am an orchestrator." (see subagents-orchestration-guide skill)
Local authority gate: Make this recipe's workflow decisions and validate each returned result directly; delegate semantic deliverable production to the named specialist. The scope bootstrap locates seed files; the named specialists own semantic investigation and artifact authorship.
Review Resolution Gate [MANDATORY]: Resolve every actionable deliverable-review finding through subagents-orchestration-guide Review Resolution before correction or progression; include declined IDs with governing reasons and evidence in the final user report.
Before the first finding disposition, read references/review-resolution.md from the loaded subagents-orchestration-guide skill.
Execution Protocol:
[Stop: ...] marker → Wait for user approval before proceedingsubagents-orchestration-guide usage: Use the guide for orchestration principles (Delegation Boundary, Decision precedence, Execution Boundary), the Scale Determination table, and handoff contracts HC-02 onward. This recipe's start order and subagent prompts supersede the guide's requirement-analyzer-origin flow, First Action Rule, HC-01, and Agent-Specific Prompt Content.
CRITICAL: Execute document-reviewer, design-sync (for Design Docs), and all stopping points — each serves as a quality gate. Skipping any step risks undetected inconsistencies.
Requirements → scope bootstrap → codebase-analyzer → [Stop: Scope confirmation]
↓
external resource hearing (frontend domain)
↓
ui-analyzer
↓
ui-spec-designer → [Stop: UI Spec approval]
↓
technical-designer-frontend
↓
code-verifier → document-reviewer
↓
design-sync → [Stop: Design approval]
Included in this skill:
Responsibility Boundary: This skill completes with frontend design document (UI Spec/ADR/Design Doc) approval. Work planning and beyond are outside scope.
Requirements: $ARGUMENTS
codebase-analyzer requires a populated requirement_analysis.affectedFiles. Build that seed with a lightweight, orchestrator-local pass — locating files only, with no deep reading and no design decisions:
rg, or grep when rg is unavailable) for files matching those keywords.affectedFiles.affectedFiles before invoking codebase-analyzer. If the user confirms no related code exists, report that codebase-grounded design does not apply and confirm with the user how to proceed.affectedFiles before invoking codebase-analyzer.This step locates seed files only. Reading files in full, tracing dependencies, and analysis remain codebase-analyzer's responsibility.
Invoke codebase-analyzer with its existing schema. The orchestrator constructs requirement_analysis from the Step 1 seed.
subagent_type: "dev-workflows-frontend:codebase-analyzer", description: "Codebase analysis"prompt: includerequirements: the user requirements verbatimrequirement_analysis: a JSON object with all four fields — affectedFiles (Step 1 seed), purpose (the user requirements), scale (provisional value from the Scale Determination table applied to the seed file count), technicalConsiderations ({ constraints: [], risks: [], dependencies: [] } — the bootstrap performs no analysis, so the object is present with empty lists)After codebase-analyzer returns, confirm the design scope with the user before any design work. This is a recipe-local confirmation step.
Execute Skill: requirement-convergence before running the hearing protocol.
First run the requirement-convergence hearing protocol, using the codebase-analyzer findings as the facts it presents. In this flow, the orchestrator elicits and judges the fields and records the result as the skill's convergence object (outcome, requirements[] with layer labels, nonGoals[], plus a readiness label per field). Treat cost as already resolved because semantic repository investigation is assigned to codebase-analyzer and ui-analyzer and entering this recipe decided to design. Carry that object into Steps 6 and 7 so ui-spec-designer respects the non-goals and technical-designer-frontend persists it to the Design Doc.
Then present, sourced from the codebase-analyzer JSON, using AskUserQuestion:
analysisScope.filesAnalyzed and the modules they belong toanalysisScope.categoriesDetected and focusAreaslimitations plus any assumptions codebase-analyzer recordedAsk the user to choose one:
After the user confirms the scope, count the confirmed target files and set the scale from the subagents-orchestration-guide Scale Determination table. This confirmed scale supersedes the Step 2 provisional value and determines the design document.
[STOP]: Wait for the user's choice before proceeding.
Execute Skill: external-resource-context before running the hearing protocol.
Run the hearing protocol per the external-resource-context skill (frontend domain). The orchestrator owns this step because it requires AskUserQuestion. The skill defines file-existence branching, two-phase hearing (structured axes + self-declaration), and persistence to docs/project-context/external-resources.md.
Invoke ui-analyzer to gather UI facts. It reads the project-tier external-resources file, fetches external UI sources via the inherited MCP/URL access methods, then analyzes the UI codebase. Its output complements the codebase-analyzer output from Step 2 (data, contracts, dependencies, quality assurance mechanisms).
subagent_type: "dev-workflows-frontend:ui-analyzer", description: "UI fact gathering"prompt: includerequirements: the user requirementsrequirement_analysis: a JSON object with all four fields — affectedFiles (analysisScope.filesAnalyzed from Step 2 codebase-analyzer), purpose (the user requirements), scale (the Step 3 confirmed scale), technicalConsiderations ({ constraints: [], risks: [], dependencies: [] })docs/project-context/external-resources.md, fetch external UI sources via the declared access methods, and analyze the existing UI codebaseBoth outputs (codebase-analyzer JSON from Step 2 and ui-analyzer JSON from Step 5) are reused by ui-spec-designer in Step 6 and by technical-designer-frontend in Step 7.
When the design document is a Design Doc (this step is skipped for ADR-only): after Step 5 output is received, ask the user about prototype code:
Ask the user: "Do you have prototype code for this feature? If so, please provide the path to the code. The prototype will be placed in docs/ui-spec/assets/ as reference material for the UI Spec."
Then create the UI Specification:
subagent_type: "dev-workflows-frontend:ui-spec-designer"description: "UI Spec creation"docs/prd/ when one exists for this feature; otherwise the user requirements with the Step 2 codebase-analyzer JSON and the Step 3 confirmed scopeconvergence object's nonGoals and speculative requirements, as capabilities the UI Spec leaves outui_analysis: ui-analyzer JSON from Step 5 (includes externalResources fetched_summary and componentStructure / propsPatterns / cssLayout / etc.)prompt: "Create UI Spec from PRD at [path]. ui_analysis: [JSON from Step 5 ui-analyzer]. Prototype code is at [user-provided path]. Place prototype in docs/ui-spec/assets/{feature-name}/."prompt: "Create UI Spec from these requirements: [user requirements verbatim]. Codebase analysis: [codebase-analyzer JSON from Step 2]. Confirmed scope: [Step 3 confirmed scope]. ui_analysis: [JSON from Step 5 ui-analyzer]. Prototype code is at [user-provided path]. Place prototype in docs/ui-spec/assets/{feature-name}/."subagent_type: "dev-workflows-frontend:document-reviewer", description: "UI Spec review", prompt: "doc_type: UISpec target: [ui-spec path] Review for consistency and completeness"prior_feedback.Pass the Step 2 codebase-analyzer output and the Step 5 ui-analyzer output to technical-designer-frontend. ADRs use alternative comparison; Design Docs use Design Convergence.
subagent_type: "dev-workflows-frontend:technical-designer-frontend", description: "ADR creation", prompt: "Create ADR for [technical decision]. Requirements: [user requirements verbatim]. Codebase analysis: [codebase-analyzer JSON from Step 2]. UI analysis: [ui-analyzer JSON from Step 5]. Confirmed scope and user answers: [Step 3 confirmed scope and user answers]. Present at least two alternatives with trade-offs."subagent_type: "dev-workflows-frontend:technical-designer-frontend", description: "Design Doc creation", prompt: "Create Design Doc based on the requirements. Requirements: [user requirements verbatim]. Codebase analysis: [codebase-analyzer JSON from Step 2]. UI analysis: [ui-analyzer JSON from Step 5]. Confirmed scope and user answers: [Step 3 confirmed scope and user answers]. Convergence result: [Step 3 convergence object]. UI Spec is at [ui-spec path]. Inherit component structure and state design from UI Spec. Apply the code: prefix to codebase-analyzer fact_ids and ui: prefix to ui-analyzer fact_ids when filling the Fact Disposition Table."subagent_type: "dev-workflows-frontend:code-verifier", description: "Design Doc verification", prompt: "doc_type: design-doc document_path: [Design Doc path] Verify Design Doc against existing code."code_verification evidence; the document-reviewer result controls correction routing.subagent_type: "dev-workflows-frontend:document-reviewer", description: "Design Doc review", prompt: "Review [Design Doc path] for consistency, completeness, and adopted design validity. doc_type: DesignDoc. review_context: creation. requirements_verbatim: [user requirements verbatim]. confirmed_decisions: [Step 3 confirmed scope and user answers]. codebase_analysis: [codebase-analyzer JSON from Step 2]. ui_analysis: [ui-analyzer JSON from Step 5]. code_verification: [code verification output from this step]"apply findings change the Design Doc, invoke technical-designer-frontend in update mode, then re-run code-verifier and document-reviewer with prior_feedback.subagent_type: "dev-workflows-frontend:document-reviewer", description: "ADR review", prompt: "Review [ADR path] for consistency and completeness. doc_type: ADR. codebase_analysis: [codebase-analyzer JSON from Step 2]. ui_analysis: [ui-analyzer JSON from Step 5]"apply findings change the ADR, invoke technical-designer-frontend in update mode and re-run document-reviewer with prior_feedback.subagent_type: "dev-workflows-frontend:design-sync", description: "Design consistency check", prompt: "Check consistency across all Design Docs in docs/design/. Report conflicts and overlaps."apply findings → invoke the named technical designer for each affected Design Doc; re-run code-verifier and document-reviewer for each modified document with the latest verification and prior_feedback, then re-run design-syncdecline → proceed to the approval stopuser_decision_required conflict → stop for user inputAccepted and verify the update before completionrequirement_analysisAcceptedFrontend design phase completed.
Take shinpr/claude-code-workflows-recipe-front-design from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.