ai-development-guide
Applies language-agnostic and backend technical decision criteria, anti-pattern detection, debugging, and quality gates. Use when reviewing general/backend…
Orchestrate the complete implementation lifecycle from requirements to deployment
$ npx -y skills add shinpr/claude-code-workflows --skill recipe-implement --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/recipe-implementContext preview
The summary Claude sees to decide when to auto-load this skill.
Orchestrate the complete implementation lifecycle from requirements to deployment
name: recipe-implement description: Orchestrate the complete implementation lifecycle from requirements to deployment disable-model-invocation: true
**Explicit User Instruction**: The user explicitly instructs and authorizes every subagent call named in this recipe. Execute each applicable call when its prerequisites are met.
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**: Full-cycle implementation management (Requirements Analysis → Design → Planning → Implementation → Quality Assurance)
**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.
**Review Resolution Gate [MANDATORY]**: Resolve every actionable deliverable-review finding through subagents-orchestration-guide `Review Resolution` before correction or progression. Before the first finding disposition, read `references/review-resolution.md` from the loaded subagents-orchestration-guide skill.
**Execution Protocol**: 1. **Invoke named specialists for deliverable production** — pass deliverable paths between them and validate their results (see subagents-orchestration-guide "Orchestrator Execution Boundary") 2. **Follow subagents-orchestration-guide skill flows exactly**:
3. **Enter autonomous mode** after confirmed Small requirements or Medium/Large batch approval
At each Agent invocation below, build the prompt as a mechanical extraction: copy the named source values into the exact fields, apply only the declared serialization, then invoke immediately.
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 sub-agents.md flow | | Quality Errors | Error detection, test failures, build errors | Execute quality-fixer | | Ambiguous | Intent unclear, multiple interpretations possible | Confirm with user |
When continuing existing flow, verify:
**MANDATORY subagents-orchestration-guide skill reference**:
Execute Skill: requirement-convergence before running the hearing protocol.
Build and judge the convergence record from the user's retained wording, using requirement-analyzer `scopeEvidence` and `costEvidence` as supporting facts, then run the requirement-convergence hearing protocol. After the requirements are confirmed, apply the subagents-orchestration-guide Small evidence gate before assigning the final Structural Scale; when the gate is unresolved, invoke codebase-analyzer before routing.
When user responds to questions:
After Structural Scale is determined, follow only that scale's applicable path. Treat each applicable design, review, approval, planning, implementation, verification, cleanup, and reporting phase as a gate. Advance only when the current phase's stated evidence or approval exists; skip only branches whose stated condition is false.
**Pre-execution Checklist (MANDATORY)**:
**Required Flow Compliance**:
**Per-task cycle** (complete each task before starting next): 1. **Agent tool** (subagent_type: "dev-wor
Claude Code can explore a codebase deeply. On non-trivial work, the harder problem is convergence.
Repo: shinpr/claude-code-workflows
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