dev-workflows-fullstack/skills/recipe-fullstack-implement/SKILL.md
Orchestrate full-cycle implementation across backend and frontend layers
npx skillsauth add shinpr/claude-code-workflows recipe-fullstack-implementInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Execute Skill: llm-friendly-context before writing Agent prompts, handoffs, or generated artifacts.
Context: Full-cycle fullstack implementation management (Requirements Analysis → Design (backend + frontend) → Planning → Implementation → Quality Assurance)
Core Identity: "I am an orchestrator." (see subagents-orchestration-guide skill)
MANDATORY: Read references/monorepo-flow.md from subagents-orchestration-guide skill BEFORE proceeding. Follow the Fullstack Flow defined there instead of the standard single-layer flow.
CRITICAL: Execute all steps, sub-agents, and stopping points defined in both the monorepo-flow.md reference and subagents-orchestration-guide skill.
Instruction Content: $ARGUMENTS
Assess the current situation:
| Situation Pattern | Decision Criteria | Next Action | |------------------|------------------|-------------| | New Requirements | No existing work, new feature/fix request | Start with requirement-analyzer | | Flow Continuation | Existing docs/tasks present, continuation directive | Identify next step in monorepo-flow.md | | Quality Errors | Error detection, test failures, build errors | Execute quality-fixer (layer-appropriate) | | Ambiguous | Intent unclear, multiple interpretations possible | Confirm with user |
When continuing existing flow, verify:
Follow monorepo-flow.md for the complete design-through-planning flow (Steps 1-17 for Large scale, Steps 1-15 for Medium scale). The flow table in that reference defines every step, agent invocation, parallelization rule, and stop point.
Key points to enforce as the orchestrator runs the flow:
doc_type: WorkPlan) and request batch approval only after the review passesAfter scale determination, use TaskCreate to register "Select and map applicable rules", each design/planning step, and the implementation, verification, cleanup, and report phases. Complete registration before invoking subagents; mark and advance the active phase with TaskUpdate.
When user responds to questions:
scopeDependencies.question → Check impact for scale changeconfidence: "confirmed" or no scale change → Proceed to next stepPre-execution Checklist (MANDATORY):
Required Flow Compliance:
Append the following block to every subagent prompt invoked from this recipe:
Scope boundary for subagents:
Operate within the task scope and referenced files in the prompt.
Use loaded skills to execute that scope.
Escalate when the required fix or investigation falls outside that scope.
Agent routing by task filename (see monorepo-flow.md reference):
*-backend-task-* → dev-workflows-fullstack:task-executor + dev-workflows-fullstack:quality-fixer
*-frontend-task-* → dev-workflows-fullstack:task-executor-frontend + dev-workflows-fullstack:quality-fixer-frontend
Rules:
task_file, upstream mutationEvidence, and qualityCommand when available (caller first, otherwise current task)stub_detected → Return to executor with incompleteImplementations[] detailsblocked → Escalate to userapproved → Proceed to commitResolve all readable Design Docs from the Work Plan, or the Work Plan itself when none exist; missing input blocks verification.
Emit one code-verifier call per resolved document plus one security-reviewer call in one assistant message, then await all:
doc_type, single document_path, and code_paths from git diff --name-only main...HEADgoverningDocuments list and implementationFilesApply subagents-orchestration-guide's Post-Implementation Verification pass/fail and fix/re-run rules with the layer-appropriate executor and quality-fixer. Present the unified report; proceed to Final Cleanup after all pass.
Before the completion report, delete the implementation task files this recipe consumed. Their work is committed; docs/plans/ is ephemeral working state and is not retained between recipe runs:
docs/plans/tasks/{plan-name}-backend-task-*.md and docs/plans/tasks/{plan-name}-frontend-task-*.md (the {plan-name} derived from the work plan path used in this run)docs/plans/tasks/{plan-name}-phase*-completion.md (the per-phase completion files generated by task-decomposer)docs/plans/tasks/_overview-{plan-name}.md if presentdocs/plans/{plan-name}.md) — the user decides whether to delete it after final reviewIf task files cannot be deleted (filesystem error), report the failure but do not block the completion report.
After acceptance-test-generator execution, when invoking work-planner (subagent_type: "dev-workflows-fullstack:work-planner"), communicate:
generatedFiles.integration)generatedFiles.fixtureE2e)generatedFiles.serviceE2e)e2eAbsenceReason.fixtureE2e and e2eAbsenceReason.serviceE2e, when each lane is null)All work is executed through sub-agents. Sub-agent selection follows monorepo-flow.md reference and subagents-orchestration-guide skill.
testing
Clarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream agents can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.
testing
Clarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream agents can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.
testing
Clarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream agents can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.
testing
Clarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream agents can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.