# AI Dev Orchestration > Ai Dev Orchestration - Skill: `dnyoussef/ai-dev-orchestration` (Agent Skill, multi-file: 9 files) - Install (CLI): `npx skillmds@latest add dnyoussef/ai-dev-orchestration` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/ai-dev-orchestration/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: DNYoussef (https://skillmd.com/u/dnyoussef) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/dnyoussef/ai-dev-orchestration --- /*============================================================================*/ /* AI-DEV-ORCHESTRATION SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: ai-dev-orchestration version: 2.1.0 description: | [assert|neutral] Meta-orchestrator for AI-assisted app development with behavioral guardrails and prompt templates. 5-phase SOP - Product Framing (planner) -> Setup & Foundations (system-architect) -> Feature Developm [ground:given] [conf:0.95] [state:confirmed] category: orchestration tags: - general author: system cognitive_frame: primary: evidential goal_analysis: first_order: "Execute ai-dev-orchestration workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic orchestration processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "ai-dev-orchestration", category: "orchestration", version: "2.1.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S1 COGNITIVE FRAME */ /*----------------------------------------------------------------------------*/ [define|neutral] COGNITIVE_FRAME := { frame: "Evidential", source: "Turkish", force: "How do you know?" } [ground:cognitive-science] [conf:0.92] [state:confirmed] ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. /*----------------------------------------------------------------------------*/ /* S2 TRIGGER CONDITIONS */ /*----------------------------------------------------------------------------*/ [define|neutral] TRIGGER_POSITIVE := { keywords: ["ai-dev-orchestration", "orchestration", "workflow"], context: "user needs ai-dev-orchestration capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ # AI-Assisted App Development Orchestration ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. ## Phase 0: Expertise Loading Before orchestrating AI development: 1. **Detect Domain**: Identify app type and tech stack 2. **Check Expertise**: Look for `.claude/expertise/ai-dev-${stack}.yaml` 3. **Load Context**: If exists, load guardrail patterns and successful prompts 4. **Apply Configuration**: Use expertise for development orchestration **Purpose**: Ship reliable apps with AI coding tools while minimizing bugs, rework, and chaos **Core Principle**: Treat AI as a junior dev with superpowers inside a structured pipeline. Real leverage comes from tight specs, clean context, and strong foundations. **Timeline**: Varies by complexity (Product Framing 30-60min, Foundations 1-2hrs, Per-Feature 1-3hrs, Testing 30-90min, Deployment 15-30min) **Integration**: Wraps feature-dev-complete, sparc-methodology, cicd-intelligent-recovery with AI-specific guardrails --- ## System Architecture ``` [User Product Idea] ↓ [Phase 0: Product Framing] (planner) - OPTIONAL ↓ (App One-Pager, Persona, Validation) ↓ [Phase 1: Setup & Foundations] (system-architect) ↓ (Stack selection, MVP definition, Foundation implementation) ↓ [Phase 2: Feature Development Loop] (coder + tester + reviewer) - ITERATIVE ↓ (Per-feature: Plan → Implement → Test → Accept/Rollback) ↓ (Fresh context per feature, Do Not Touch lists, Manual testing) ↓ [Phase 3: Testing & Refactors] (tester + coder) ↓ (Bug fixes, Refactoring with scope limits) ↓ [Phase 4: Deployment] (cicd-engineer) ↓ (Staging/Production, Monitoring, Health checks) ↓ [Memory-MCP Storage] (with WHO/WHEN/PROJECT/WHY tags) ``` --- ## When to Use This Skill Activate this skill when: - Building apps with AI coding tools (Cursor, Claude Code, Lovable, Bolt) - Need to prevent AI coding chaos and "theater implementations" - Want systematic approach to AI-assisted development - Building greenfield projects (web, mobile, internal tools) - Small teams or solo builders using AI agents - Need AI-safe guardrails (scope limiting, context management, testing gates) **DO NOT** use this skill for: - Traditional development without AI assistance (use feature-dev-complete) - Quick scripts or throwaway code (too much process) - Well-understood repetitive tasks (use existing patterns) - Emergency hotfixes (skip structured workflow) --- ## Guiding Principles (from second-order insights) 1. **Spec > Code**: Quality depends more on *how well you specify* than how fast you type 2. **Foundations First**: Mini-waterfall for architecture, agile for features 3. **Ephemeral Context**: Fresh chat per feature; persistent knowledge in code/docs, not chat history 4. **Guardrails Over Brute Force**: Constrain what AI can touch; use "do not change X" aggressively 5. **Small, Tested Steps**: One feature at a time, each fully tested before moving on 6. **Human Product Judgment**: AI can simulate validation, but real users validate markets 7. **AI is Factory, You are Orchestrator**: Your job is design specs, run pipeline, decide pass/fail --- ## Input Contract ```yaml input: product: name: string (required) description: string (required) # 1-2 sentence "who + what outcome" target_user: string (optional) # Narrow customer segment differentiators: array[string] (optional) # How you differ from competitors requirements: must_have_features: array[string] (1-2 core features for MVP) nice_to_have: array[string] constraints: technical: array[string] # Required stack, frameworks timeline: string budget: string options: run_product_framing: boolean (default: true) # Skip if already validated auto_test: boolean (default: true) # Run tests after each feature manual_review: boolean (default: true) # Human approval gates deployment_target: enum[staging, production] (default: staging) ` /*----------------------------------------------------------------------------*/ /* S4 SUCCESS CRITERIA */ /*----------------------------------------------------------------------------*/ [define|neutral] SUCCESS_CRITERIA := { primary: "Skill execution completes successfully", quality: "Output meets quality thresholds", verification: "Results validated against requirements" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S5 MCP INTEGRATION */ /*----------------------------------------------------------------------------*/ [define|neutral] MCP_INTEGRATION := { memory_mcp: "Store execution results and patterns", tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"] } [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S6 MEMORY NAMESPACE */ /*----------------------------------------------------------------------------*/ [define|neutral] MEMORY_NAMESPACE := { pattern: "skills/orchestration/ai-dev-orchestration/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "ai-dev-orchestration-{session_id}", WHEN: "ISO8601_timestamp", PROJECT: "{project_name}", WHY: "skill-execution" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S7 SKILL COMPLETION VERIFICATION */ /*----------------------------------------------------------------------------*/ [direct|emphatic] COMPLETION_CHECKLIST := { agent_spawning: "Spawn agents via Task()", registry_validation: "Use registry agents only", todowrite_called: "Track progress with TodoWrite", work_delegation: "Delegate to specialized agents" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S8 ABSOLUTE RULES */ /*----------------------------------------------------------------------------*/ [direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* PROMISE */ /*----------------------------------------------------------------------------*/ [commit|confident] AI_DEV_ORCHESTRATION_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]