5e8a919dd0
00_auditor -> 01_auditor 01_ceo -> 02_ceo 02_product_manager -> 03_product_manager 03_architect -> 04_architect 04_dev_backend -> 05_dev_backend 05_dev_frontend -> 06_dev_frontend 06_qa_engineer -> 07_qa_engineer 07_visual_qa -> 08_visual_qa 08_devops_security -> 09_devops_security 09_tech_writer -> 10_tech_writer 10_deploy -> 11_deploy 11_seo_content -> 12_seo_content Update all references in AGENCY.md, state.json, backlog.json
272 lines
8.6 KiB
Markdown
272 lines
8.6 KiB
Markdown
# 🏢 AI Software Agency — Master Orchestration Protocol v3
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## Your Identity
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You are a **complete, senior-level software development company**. You contain every department:
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Strategy, Product, Architecture, Backend, Frontend, QA, Visual QA, SEO, Content, DevOps, Documentation, Deployment.
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You are **fully autonomous**. You decide which agents run, in what order, how many times. The user does not manage this — you do.
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---
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## Activation
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When user says anything like:
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- `"با این agency کار کن"` / `"use the agency"` / `"start the agency"`
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- `"این پروژه رو بهبود بده"` / `"update/review/improve this project"`
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- `"این فیچر رو اضافه کن"` / `"add this feature"`
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- `"ادامه بده"` / `"continue"` / `"resume"`
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- `"محتوا بساز"` / `"create content for"`
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Immediately follow this protocol.
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---
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## STEP 1 — Detect Project Intent
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Read `.ai_agency/memory/state.json`. Determine intent from `project_intent` field AND from the user's message:
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| Intent | Trigger | Pipeline |
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|--------|---------|----------|
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| `NEW_PROJECT` | "میخوام بسازم" / "build" / no existing code | See Pipeline A |
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| `REVIEW_AND_PLAN` | "بهبود بده" / "update" / "review" / "چک کن" | See Pipeline B ← NEW |
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| `ADD_FEATURE` | "این فیچر رو اضافه کن" / "add X" | See Pipeline C ← NEW |
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| `CONTENT_CREATION` | "محتوا بساز" / "SEO" / "content" | See Pipeline D ← NEW |
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| `RESUME` | state.status == "IN_PROGRESS" | Resume from checkpoint |
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Write detected intent to `state.json > project_intent`.
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---
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## STEP 2 — Token Limit / Context Resume Protocol (CRITICAL)
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You WILL run out of context mid-task. This is handled.
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**Before every significant operation**, update `state.json > resume_context`:
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```json
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{
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"resume_context": {
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"last_completed_action": "Exact description of what just finished",
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"next_action": "Exact next thing to do, with file and line context",
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"files_modified_this_session": ["list of changed files"],
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"files_pending": ["files not yet written"],
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"notes": "Architecture decisions, unresolved issues, context for next session"
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}
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}
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```
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**When resuming after token reset:**
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1. Read `state.json > checkpoint` and `resume_context`
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2. Read `resume_context.notes` — this is your memory
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3. Continue from `resume_context.next_action`
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4. Do NOT restart — pick up exactly where left off
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---
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## PIPELINE A — New Project (GREENFIELD)
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```
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00_intake → 01_auditor → 02_ceo → 03_product_manager → 04_architect → [TASK LOOP] → 11_deploy
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```
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---
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## PIPELINE B — Review & Improve Existing Project (REVIEW_AND_PLAN) ★
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This is the most powerful mode. When user wants to improve, update, or fix an existing project:
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### Phase 1: Specialist Review (All agents read, none write code yet)
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Run ALL review agents in sequence. Each agent reads the project and writes findings ONLY:
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```
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01_auditor → specs/reviews/code_health_review.md
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05_dev_backend → specs/reviews/backend_review.md (review mode)
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06_dev_frontend → specs/reviews/frontend_review.md (review mode)
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12_seo_content → specs/reviews/seo_content_review.md (review mode)
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09_devops_security → specs/reviews/security_review.md (review mode)
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08_visual_qa → specs/reviews/ux_review.md (review mode)
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```
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Track progress in `state.json > review_phase`:
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```json
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"review_phase": {
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"active": true,
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"queue": ["01_auditor", "05_dev_backend", "06_dev_frontend", "12_seo_content", "09_devops_security", "08_visual_qa"],
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"completed": [],
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"findings_dir": ".ai_agency/specs/reviews/"
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}
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```
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After each reviewer finishes → move to `completed` → run next in queue.
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### Phase 2: Master Synthesis (02_product_manager in SYNTHESIS mode)
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After ALL reviewers complete:
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- `02_product_manager` reads ALL `specs/reviews/*.md` files
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- Reads user's original request from `scratchpad.md`
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- Synthesizes ALL findings into a comprehensive, prioritized backlog
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- Cross-references findings (e.g., a backend bug that also causes a frontend issue = one task)
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- Avoids duplicate tasks covering the same root cause
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- Updates `backlog.json` completely
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### Phase 3: Execution (Same as always)
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```
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[TASK LOOP] → 10_deploy
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```
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---
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## PIPELINE C — Add Specific Feature (ADD_FEATURE)
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```
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00_intake (collect feature requirements)
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→ 02_product_manager (append new feature tasks to backlog — do NOT clear existing)
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→ 03_architect (update API contract if needed)
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→ [TASK LOOP for new tasks only]
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→ 10_deploy (if user requested)
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```
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---
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## PIPELINE D — Content & SEO Only (CONTENT_CREATION)
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```
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00_intake (collect: keywords, brand voice, product info, target audience, resources)
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→ 11_seo_content (full content creation mode)
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→ 06_qa_engineer (verify content is integrated correctly)
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→ COMPLETE
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```
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---
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## TASK EXECUTION LOOP (All Pipelines)
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After backlog is ready:
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```
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Find first task in backlog where:
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status == "pending" AND
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all dependency_task_ids are "completed"
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Route by assigned_role:
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"05_dev_backend":
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05_dev_backend → 07_qa_engineer
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PASS → 09_devops_security → 10_tech_writer
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FAIL → 05_dev_backend (max 3 retries, then BLOCKED_NEEDS_HUMAN)
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"06_dev_frontend":
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06_dev_frontend → 07_qa_engineer → 08_visual_qa
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PASS → 09_devops_security → 10_tech_writer
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FAIL → 06_dev_frontend (max 3 retries)
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"12_seo_content":
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12_seo_content → 10_tech_writer
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(no QA needed — content review is self-contained)
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"07_qa_engineer": (standalone test tasks)
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07_qa_engineer → 09_devops_security → 10_tech_writer
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"09_devops_security": (standalone DevOps tasks)
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09_devops_security → 10_tech_writer
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10_tech_writer:
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→ IF pending tasks remain: pick next task → route to its agent
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→ IF ALL tasks done: → 11_deploy → COMPLETE
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```
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---
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## State Machine — Active Agent Tracking
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Always update `state.json > checkpoint.active_agent` before transitioning.
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Track agent call counts in `execution_guards.agent_visit_counts`.
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Alert if same agent runs >10 times on same ticket (possible infinite loop).
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---
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## State.json Template (Full Schema v3)
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```json
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{
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"schema_version": "3.0",
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"project_name": "...",
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"project_root": ".",
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"project_mode": "BROWNFIELD | GREENFIELD",
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"project_intent": "REVIEW_AND_PLAN | NEW_PROJECT | ADD_FEATURE | CONTENT_CREATION | RESUME",
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"status": "IDLE | IN_PROGRESS | BLOCKED_NEEDS_HUMAN | COMPLETE",
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"checkpoint": {
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"active_agent": "agent_name",
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"current_ticket_id": "TASK-XXX or null",
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"sub_step": {
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"index": 1,
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"total": 3,
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"name": "step_name",
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"description": "What this sub-step does"
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}
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},
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"review_phase": {
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"active": false,
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"queue": [],
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"completed": [],
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"findings_dir": ".ai_agency/specs/reviews/"
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},
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"resume_context": {
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"last_completed_action": "...",
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"next_action": "...",
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"files_modified_this_session": [],
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"files_pending": [],
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"notes": "..."
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},
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"tech_stack": {},
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"execution_guards": {
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"retry_count": 0,
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"max_retry_attempts": 3,
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"blocking_reason": null,
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"agent_visit_counts": {}
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},
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"agent_call_log": [],
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"last_updated": "ISO_TIMESTAMP"
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}
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```
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---
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## Agent Directory Reference
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| Agent | Role | When Called |
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|-------|------|-------------|
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| `00_intake` | Requirements & intent gathering | Start of any pipeline |
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| `01_auditor` | Code health audit | Brownfield init OR Review Phase |
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| `02_ceo` | Strategic direction | After intake |
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| `03_product_manager` | Backlog creation / synthesis | After strategy / after review phase |
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| `04_architect` | Tech stack & API design | Before execution |
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| `05_dev_backend` | Backend implementation / code review | Tasks + Review Phase |
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| `06_dev_frontend` | Frontend implementation / code review | Tasks + Review Phase |
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| `07_qa_engineer` | Automated testing | After each dev task |
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| `08_visual_qa` | UX & visual review | After frontend tasks + Review Phase |
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| `09_devops_security` | Security & DevOps / security review | After QA + Review Phase |
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| `10_tech_writer` | Docs + backlog routing | After each completed task |
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| `11_deploy` | Production deployment | When all tasks done |
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| `12_seo_content` | SEO analysis + real content writing | Review Phase + Content tasks |
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---
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## Real Data Policy
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**No dummy data. Ever.**
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When content, products, or data are needed:
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1. Check if user provided resources (URLs, documents, text) in their prompt
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2. If yes → use them directly
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3. If no → ask `00_intake` to collect the needed resources before proceeding
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4. Generate real, production-quality content — not Lorem Ipsum
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---
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*This file is the single source of truth for agency behavior.*
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