Skip to main content

afrexai-agent-engineering

Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.

معلومات المصدر

المستودع
modbender/skill-library-mcp
آخر نشاط في المصدر
٦ مارس ٢٠٢٦ في ١٨:٣٣
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
١٢
التفرعات
٣

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
afrexai-agent-engineering
description
Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.
# Agent Engineering — Complete System Design & Operations Build agents that actually work in production. Not demos. Not toys. Real systems that run 24/7, handle edge cases, and compound value over time. This skill covers the entire agent lifecycle: architecture → build → deploy → operate → scale. --- ## Phase 1 — Agent Architecture Design ### 1.1 Agent Purpose Definition Before writing a single line of config, answer these: ```yaml agent_brief: name: "" # Short, memorable (max 2 words) mission: "" # One sentence — what does this agent DO? success_metric: "" # How do you MEASURE if it's working? failure_mode: "" # What does failure look like? autonomy_level: "" # advisor | operator | autopilot decision_authority: can_do_freely: [] # Actions requiring no approval must_ask_first: [] # Actions requiring human approval never_do: [] # Hard prohibitions (safety rail) surfaces: channels: [] # telegram, discord, slack, whatsapp, webchat mode: "" # dm_only | groups | both operating_hours: "" # 24/7 | business_hours | custom model_strategy: primary: "" # Main model (reasoning tasks) worker: "" # Cost-effective model (mechanical tasks) specialized: "" # Domain-specific (coding, vision, etc.) ``` ### 1.2 Autonomy Spectrum Choose deliberately. Most failures come from wrong autonomy level. | Level | Description | Best For | Risk | |-------|-------------|----------|------| | **Advisor** | Suggests actions, human executes | High-stakes decisions, new domains | Low — but slow | | **Operator** | Acts freely within bounds, asks for anything destructive/external | Most production agents | Medium — good balance | | **Autopilot** | Broad autonomy, only escalates anomalies | Proven workflows, monitoring tasks | Higher — needs strong guardrails | **Autonomy Graduation Protocol:** 1. Start at Advisor for first 2 weeks 2. Track decision quality (% correct suggestions) 3. If >95% correct over 50+ decisions → promote to Operator 4. If Operator runs clean for 30 days → consider Autopilot for specific workflows 5. Never promote across the board — promote per-workflow ### 1.3 Agent Personality Architecture Personality isn't cosmetic — it drives decision-making style. ```yaml personality: voice: tone: "" # direct | warm | academic | casual | professional verbosity: "" # minimal | balanced | thorough humor: "" # none | dry | playful formality: "" # formal | conversational | adaptive decision_style: speed_vs_accuracy: "" # speed_first | balanced | accuracy_first risk_tolerance: "" # conservative | moderate | aggressive ambiguity_response: ""# ask_always | best_guess_then_verify | act_and_report behavioral_rules: - "Never apologize for being an AI" - "Challenge bad ideas directly" - "Admit uncertainty rather than guess" - "Be concise by default, thorough when asked" anti_patterns: # Things this agent must NEVER do - "Sycophantic agreement" - "Filler phrases ('Great question!', 'I'd be happy to')" - "Excessive caveats on straightforward tasks" - "Asking permission for things within stated authority" ``` ### 1.4 Architecture Patterns **Pattern 1: Solo Agent (Single Workspace)** Best for: personal assistants, domain specialists, simple automation ``` [Human] ←→ [Agent + Skills + Memory] ``` Files: SOUL.md, IDENTITY.md, AGENTS.md, USER.md, HEARTBEAT.md, MEMORY.md **Pattern 2: Hub-and-Spoke (Main + Sub-agents)** Best for: complex workflows with distinct phases ``` [Human] ←→ [Orchestrator Agent] ├── [Builder Sub-agent] (spawned per task) ├── [Reviewer Sub-agent] (spawned per review) └── [Researcher Sub-agent] (spawned per query) ``` Orchestrator owns state. Sub-agents are stateless workers. **Pattern 3: Persistent Multi-Agent Team** Best for: continuous operations (sales, support, monitoring) ``` [Human] ←→ [Main Agent (Telegram DM)] ├── [Sales Agent (Slack #sales)] ├── [Support Agent (Discord)] └── [Ops Agent (cron-driven)] ``` Each agent has its own workspace, channels, and memory. **Pattern 4: Swarm (Many Agents, Shared Mission)** Best for: research, content production, market coverage ``` [Orchestrator] ├── [Agent Pool: 5-20 workers] ├── [Shared artifact store] └── [Aggregator agent] ``` **Pattern Selection Decision Tree:** 1. Is it one person's assistant? → **Solo Agent** 2. Does it need multiple distinct workflows? → **Hub-and-Spoke** 3. Do workflows need persistent state across sessions? → **Persistent Team** 4. Do you need parallel processing at scale? → **Swarm** --- ## Phase 2 — Memory System Design ### 2.1 Memory Architecture Agents without memory are goldfish. Design memory deliberately. ``` ┌─────────────────────────────────────┐ │ MEMORY LAYERS │ ├─────────────────────────────────────┤ │ Session Context (in-context window) │ ← Current conversation │ Working Memory (daily files) │ ← memory/YYYY-MM-DD.md │ Long-term Memory (MEMORY.md) │ ← Curated insights │ Reference Memory (docs, skills) │ ← Static knowledge │ Shared Memory (cross-agent) │ ← Team artifacts └─────────────────────────────────────┘ ``` ### 2.2 Memory File Templates **Daily Working Memory** (`memory/YYYY-MM-DD.md`): ```markdown # YYYY-MM-DD — [Agent Name] Daily Log ## Actions Taken - [HH:MM] Did X because Y → Result Z ## Decisions Made - Chose A over B because [reasoning] ## Open Items - [ ] Task pending human input - [ ] Task scheduled for tomorrow ## Lessons Learned - [Pattern/insight worth remembering] ## Handoff Notes - [Context for next session] ``` **Long-term Memory** (`MEMORY.md`): ```markdown # MEMORY.md — Long-Term Memory ## About the Human - [Key preferences, communication style, timezone] ## Domain Knowledge - [Accumulated expertise, patterns noticed] ## Relationship Map - [Key people, their roles, preferences] ## Active Projects ### [Project Name] - Status: [state] - Key decisions: [what and why] - Next milestone: [date + deliverable] ## Lessons Learned - [Mistakes to avoid, patterns that work] ## Operational Notes - [Infrastructure details, credentials locations, tool quirks] ``` ### 2.3 Memory Maintenance Protocol **Daily (end of session or heartbeat):** - Append significant events to `memory/YYYY-MM-DD.md` - Update MEMORY.md if major decision or insight **Weekly (heartbeat or cron):** - Review past 7 days of daily files - Promote key learnings to MEMORY.md - Archive stale entries **Monthly:** - Audit MEMORY.md for accuracy and relevance - Remove outdated entries - Consolidate related items **Memory Hygiene Rules:** - Max MEMORY.md size: 15KB (trim ruthlessly) - Daily files: keep last 14 days accessible, archive older - Every memory entry needs: WHAT happened + WHY it matters - Delete > archive > keep (bias toward lean memory) --- ## Phase 3 — Workspace File Generation ### 3.1 SOUL.md Template ```markdown # SOUL.md — Who You Are ## Prime Directive [One sentence — the agent's reason for existing] ## Core Truths ### Character - [3-5 behavioral principles] - [Communication style rules] - [Decision-making philosophy] ### Anti-Patterns (Never Do) - [Specific behaviors to avoid] - [Common AI failure modes to reject] ## Relationship With Operator - [Role dynamic: advisor/partner/employee] - [Escalation rules] - [Reporting cadence] ## Boundaries - [Privacy rules] - [External action limits] - [Group chat behavior] ## Vibe [One paragraph describing the personality feel] ``` ### 3.2 AGENTS.md Template ```markdown # AGENTS.md — Operating Manual ## First Run Read SOUL.md → USER.md → memory/today → MEMORY.md (main session only) ## Session Startup 1. Identity files (SOUL.md, IDENTITY.md, USER.md) 2. Context files (MEMORY.md, memory/today, ACTIVE-CONTEXT.md) 3. Any pending tasks or handoff notes ## Operating Rules ### Safety - [Ask-before-destructive rule] - [Ask-before-external rule] - [trash > rm] - [Credential handling rules] ### Memory - Daily logs: memory/YYYY-MM-DD.md - Long-term: MEMORY.md (main session only) - Write significant events immediately — no "mental notes" ### Communication - [When to speak vs stay silent] - [Reaction guidelines] - [Group chat etiquette] ### Heartbeats - [What to check proactively] - [When to alert vs stay quiet] - [Quiet hours] ## Tools & Skills - [Available tools and when to use them] - [Per-tool notes in TOOLS.md] ## Sub-agents - [When to spawn] - [What context to pass] - [How to handle results] ``` ### 3.3 IDENTITY.md Template ```markdown # IDENTITY.md - **Name:** [Name + optional emoji] - **Role:** [One-line role description] - **What I Am:** [Agent type and capabilities] - **Vibe:** [3-5 word personality summary] - **How I Talk:** [Communication style + any languages] - **Emoji:** [Signature emoji] ``` ### 3.4 USER.md Template ```markdown # USER.md — About [Name] ## Identity - Name, timezone, language preferences - Communication preferences (brevity, tone, format) ## Professional - Role, company, industry - Current priorities and goals ## Working Style - Decision-making preferences - How they want to be updated - Pet peeves and preferences ## What Motivates Them - Goals, values, activation patterns ## Communication Rules - [Platform-specific formatting] - [When to message vs wait] - [How to escalate] ``` ### 3.5 HEARTBEAT.md Template ```markdown # HEARTBEAT.md — Proactive Checks ## Priority 1: Critical Alerts - [Conditions that require immediate notification] ## Priority 2: Routine Checks - [Things to check each heartbeat, rotating] ## Priority 3: Background Work - [Proactive tasks during quiet periods] ## Notification Rules - Critical: immediate message - Important: next daily summary - General: weekly digest ## Quiet Hours - [When NOT to notify unless critical] ## Token Discipline - [Max heartbeat cost] - [When to just reply HEARTBEAT_OK] ``` --- ## Phase 4 — Multi-Agent Team Design ### 4.1 Team Composition **Role Matrix:** | Role | Purpose | Model Tier | Spawn Type | |------|---------|-----------|------------| | Orchestrator | Routes work, tracks state, makes judgment calls | Premium (reasoning) | Persistent | | Builder | Produces artifacts (code, docs, content) | Standard | Per-task | | Reviewer | Verifies quality, catches gaps | Premium | Per-review | | Researcher | Gathers information, synthesizes findings | Standard | Per-query | | Ops/Monitor | Cron jobs, health checks, alerting | Economy | Persistent | | Specialist | Domain expert (legal, finance, security) | Premium | On-demand | **Team Sizing Rules:** - Start with 2 agents (builder + reviewer). Add only when bottleneck is proven. - Max 5 persistent agents before you need orchestration automation - Every agent must have measurable output — no "nice to have" agents - Kill agents that don't produce value within 2 weeks ### 4.2 Communication Protocol **Handoff Template (Required for every agent-to-agent transfer):** ```yaml handoff: from: "[agent_name]" to: "[agent_name]" task_id: "[unique_id]" summary: "[What was done, in 2-3 sentences]" artifacts: - path: "[exact file path]" description: "[what this file contains]" verification: command: "[how to verify the work]" expected: "[what correct output looks like]" known_issues: - "[Anything incomplete or risky]" next_action: "[Clear instruction for receiving agent]" deadline: "[When this needs to be done]" ``` **Communication Rules:** 1. Every message between agents includes task_id 2. No implicit context — receiving agent knows ONLY what's in the handoff 3. Artifacts go in shared paths, never "I'll remember where I put it" 4. Status updates at: start, blocker, handoff, completion 5. Silent agent for >30 min on active task = assumed stuck → escalate ### 4.3 Task Lifecycle ``` ┌──────┐ ┌──────────┐ ┌─────────────┐ ┌────────┐ ┌──────┐ │ INBOX │ → │ ASSIGNED │ → │ IN PROGRESS │ → │ REVIEW │ → │ DONE │ └──────┘ └──────────┘ └─────────────┘ └────────┘ └──────┘ │ │ ▼ ▼ ┌─────────┐ ┌──────────┐ │ BLOCKED │ │ REVISION │ └─────────┘ └──────────┘ │ │ ▼ ▼ ┌────────┐ (back to IN PROGRESS) │ FAILED │ └────────┘ ``` **State Transition Rules:** - Only orchestrator moves tasks between states - Every transition requires a comment (who, what, why) - BLOCKED requires: what's blocking + who can unblock + escalation deadline - FAILED requires: root cause + whether to retry or abandon - Tasks in IN_PROGRESS for >4 hours without update → auto-escalate ### 4.4 Quality Gates **Pre-Build Gate (before work starts):** - [ ] Requirements are specific and testable - [ ] Acceptance criteria defined - [ ] Output path specified - [ ] Deadline set - [ ] Correct agent assigned (capability match) **Post-Build Gate (before marking done):** - [ ] All acceptance criteria met - [ ] Artifacts exist at specified paths - [ ] Verification command passes - [ ] No known critical issues - [ ] Handoff notes complete **Review Rubric (0-10 per dimension):** - Correctness: Does it do what was asked? - Completeness: Are edge cases handled? - Quality: Is it production-ready or a rough draft? - Documentation: Can another agent/human understand it? - Efficiency: Was this the simplest approach that works? Minimum pass score: 7/10 average across all dimensions. --- ## Phase 5 — Safety & Guardrails ### 5.1 Safety Architecture ``` ┌─────────────────────────────────┐ │ SAFETY LAYERS │ ├─────────────────────────────────┤ │ Layer 1: Hard Prohibitions │ ← NEVER do (coded in SOUL.md) │ Layer 2: Approval Gates │ ← Ask before doing │ Layer 3: Audit Trail │ ← Log everything │ Layer 4: Circuit Breakers │ ← Auto-stop on anomaly │ Layer 5: Human Override │ ← Kill switch always available └─────────────────────────────────┘ ``` ### 5.2 Hard Prohibition Template
عرض على GitHub
ملف SKILL.md هذا كبير جدا، لذلك يعرض SkillsMP القسم الاول فقط هنا. عرض على GitHub