agentic-ai-systems

by ThibautMelenβœ“ Verified

πŸ” Agentic systems explained with chickens β€” the 2024 taxonomy + the 2026 canon (context engineering, skills, MCP, harnesses). Every pattern as a runnable, CI-checked file. Mermaid everywhere.

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Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/ThibautMelen/agentic-ai-systems

Getting Started

Guides for using skills like agentic-ai-systems.

Security Report

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Last scanned: β€”

{
  "status": "PASSED",
  "issues": []
}

README.md

Agentic AI Systems πŸ”

Agentic systems explained with chickens β€” because AI orchestration doesn't have to be scary

Main Agent spawns Subagents like a hen with her chicks πŸ”πŸͺΊπŸ¦

patterns proven Claude Code Anthropic Research SuperNovae Awesome License PRs Welcome Mermaid

πŸ¦„ Foundations β€’ βš™οΈ Workflows β€’ πŸ” Autonomous β€’ πŸ“œ As Code β€’ πŸ› οΈ Implementation β€’ πŸ—ΊοΈ Guides


Overview

%%{init: {'theme': 'base', 'themeVariables': { 'primaryColor': '#8b5cf6', 'primaryTextColor': '#fff', 'primaryBorderColor': '#7c3aed', 'lineColor': '#a78bfa', 'secondaryColor': '#ec4899', 'tertiaryColor': '#6366f1', 'noteTextColor': '#fff', 'noteBkgColor': '#8b5cf6', 'textColor': '#fff' }}}%%
mindmap
  root((πŸ” Agentic Systems))
    πŸ¦„ Foundations
      Augmented LLM
      What Changed 2026
    βš™οΈ Workflows
      🏎️ Baseline
      ⛓️ Chaining
      🚦 Routing
      πŸ›€οΈ Parallel
      πŸ¦‘ Orchestrator
      🩻 Evaluator
    πŸ” Autonomous Agent
      The Alternative
      Multi-Window
    πŸ› οΈ Implementation
      🐦 Subagent
      🦴 Command
      πŸ“š Skill
      πŸͺ Hook
    πŸ“œ Patterns as Code
      Check before
      Trace after

[!TIP] New in the 2026 edition β€” πŸ—žοΈ What Changed 2025-2026 (the dated map: context engineering, the multi-agent debate, the AGENTS.md Β· SKILL.md Β· MCP stack, harness engineering) and πŸ“œ Patterns as Code (every pattern as a runnable file β€” checked in CI on every push, no API key needed).

A repeated chat prompt becomes a workflow file; checked before a token is spent, then a real local run β€” the patterns in this repo, as runnable files

⬆️ real capture: a repeated prompt graduates into a checked, runnable file β€” every pattern in this repo works this way Β· and three of them run a real campaign daily πŸ›°οΈ

πŸ—ΊοΈ Navigation

πŸ¦„ Foundations

The building block for everything

πŸ¦„ Augmented LLMLLM + Retrieval + Tools + Memory
πŸ—žοΈ What Changed 2025-2026Context engineering Β· skills/MCP stack Β· harness era

βš™οΈ Workflows

Predefined orchestration β€” code controls the flow

#WorkflowUse When
0🏎️ BaselineSimple, 1-step task
1⛓️ Prompt ChainingSequential steps
2🚦 RoutingClassify & dispatch
3πŸ›€οΈ ParallelizationIndependent tasks
4πŸ¦‘ OrchestratorExpert delegation
5🩻 EvaluatorQuality iteration

πŸ” Autonomous Agent

Dynamic autonomy β€” LLM controls the flow

PatternUse When
πŸ” Autonomous AgentOpen-ended problems
πŸ–₯️ Multi-WindowCross-session state (variant)

πŸ› οΈ Implementation

Claude Code components & architecture

ComponentLocation
🐦 Subagent.claude/agents/*.md
🦴 Command.claude/commands/*.md
πŸ“š Skill.claude/skills/*/SKILL.md
πŸͺ Hook.claude/settings.json

πŸ—ΊοΈ Guides & πŸ“– Reference

ResourceDescription
Selection GuideChoose the right pattern
πŸ“œ Patterns as CodeEvery pattern as a runnable, checkable file
Use Cases6 validated examples
GlossaryA-Z definitions
Visual StandardsColors & emojis

Quick Decision

%%{init: {'theme': 'base', 'themeVariables': {'lineColor': '#64748b'}}}%%
flowchart LR
    START((🎯 Task)) --> DEST{Destructive?}
    DEST -->|Yes| WIZ[πŸ§™ Wizard]
    DEST -->|No| COMP{Complex?}
    COMP -->|No| BASE[🏎️ Baseline]
    COMP -->|Yes| PRED{Predictable<br/>steps?}
    PRED -->|Yes| WORK{Need<br/>specialists?}
    PRED -->|No| AGENT[πŸ” Autonomous]
    WORK -->|No| CHAIN[⛓️ Chain]
    WORK -->|Yes| ORCH[πŸ¦‘ Orchestrator]

    classDef default fill:#f8fafc,stroke:#64748b,stroke-width:1px,color:#1e293b
    classDef decision fill:#fef3c7,stroke:#f59e0b,stroke-width:2px,color:#92400e
    classDef baseline fill:#64748b,stroke:#475569,stroke-width:2px,color:#ffffff
    classDef wizard fill:#14b8a6,stroke:#0d9488,stroke-width:2px,color:#ffffff
    classDef workflow fill:#8b5cf6,stroke:#7c3aed,stroke-width:2px,color:#ffffff
    classDef agent fill:#ec4899,stroke:#db2777,stroke-width:2px,color:#ffffff

    START:::decision
    DEST:::decision
    COMP:::decision
    PRED:::decision
    WORK:::decision
    BASE:::baseline
    WIZ:::wizard
    CHAIN:::workflow
    ORCH:::workflow
    AGENT:::agent
Situation→ Use
Simple task (1 step)🏎️ Baseline
Sequential (2-4 steps)⛓️ Prompt Chaining
Categorize inputs🚦 Routing
Independent subtasksπŸ›€οΈ Parallelization
Multiple specialistsπŸ¦‘ Orchestrator-Workers
Quality iteration🩻 Evaluator-Optimizer
Open-ended / unknown stepsπŸ” Autonomous Agent
Destructive operationsπŸ§™ Wizard
Long-running (>10 min)πŸ–₯️ Multi-Window Context

Anthropic Taxonomy

%%{init: {'theme': 'base', 'themeVariables': {'lineColor': '#64748b'}}}%%
flowchart LR
    subgraph WORKFLOWS["βš™οΈ WORKFLOWS"]
        direction TB
        W1[🏎️ Baseline]
        W2[⛓️ Prompt Chaining]
        W3[🚦 Routing]
        W4[πŸ›€οΈ Parallelization]
        W5[πŸ¦‘ Orchestrator]
        W6[🩻 Evaluator]
    end

    subgraph AGENTS["πŸ” AUTONOMOUS AGENT"]
        direction TB
        A1[πŸ” The Alternative]
        A2[πŸ–₯️ Multi-Window variant]
    end

    CODE[πŸ“ Code controls] --> WORKFLOWS
    WORKFLOWS --> LLM[🧠 LLM controls]
    LLM --> AGENTS

    classDef workflowBox fill:#ede9fe,stroke:#8b5cf6,stroke-width:2px,color:#5b21b6
    classDef agentBox fill:#fce7f3,stroke:#ec4899,stroke-width:2px,color:#9d174d
    classDef control fill:#f1f5f9,stroke:#64748b,stroke-width:1px,color:#475569

    WORKFLOWS:::workflowBox
    AGENTS:::agentBox
    CODE:::control
    LLM:::control

Key distinction: Workflows have predefined paths (code controls). Agents decide their own path (LLM controls).


Critical Rule

%%{init: {'theme': 'base', 'themeVariables': {'lineColor': '#64748b'}}}%%
flowchart LR
    U1[πŸ™‹β€β™€οΈ User] -->|request| MA[πŸ” Main Agent]
    MA -->|πŸͺΊ spawn| SA1[🐦 Subagent]
    MA -->|πŸͺΊ spawn| SA2[🐦 Subagent]
    SA1 -->|result| MA
    SA2 -->|result| MA
    MA -->|response| U2[πŸ’β€β™€οΈ User]

    SA1 x--x|"❌ CANNOT spawn"| SA3[🐦]

    classDef user fill:#6366f1,stroke:#4f46e5,stroke-width:2px,color:#ffffff
    classDef main fill:#f59e0b,stroke:#d97706,stroke-width:2px,color:#ffffff
    classDef sub fill:#ec4899,stroke:#db2777,stroke-width:2px,color:#ffffff
    classDef blocked fill:#ef4444,stroke:#dc2626,stroke-width:2px,color:#ffffff,stroke-dasharray: 5 5

    U1:::user
    U2:::user
    MA:::main
    SA1:::sub
    SA2:::sub
    SA3:::blocked

🐦 Subagents cannot spawn other 🐦 subagents. All delegation flows through πŸ” Main Agent.


Repository Structure

.
β”œβ”€β”€ README.md                      # 🏠 You are here
β”‚
β”œβ”€β”€ foundations/                   # πŸ¦„ Core concepts
β”‚   └── augmented-llm.md
β”‚
β”œβ”€β”€ workflows/                     # βš™οΈ Predefined orchestration
β”‚   β”œβ”€β”€ 00-baseline.md
β”‚   β”œβ”€β”€ 01-prompt-chaining.md
β”‚   β”œβ”€β”€ 02-routing.md
β”‚   β”œβ”€β”€ 03-parallelization.md
β”‚   β”œβ”€β”€ 04-orchestrator-workers.md
β”‚   └── 05-evaluator-optimizer.md
β”‚
β”œβ”€β”€ agents/                        # πŸ” Autonomous Agent (the alternative)
β”‚   β”œβ”€β”€ autonomous.md              # The pattern
β”‚   └── multi-window.md            # Variant
β”‚
β”œβ”€β”€ implementation/                # πŸ› οΈ Claude Code specifics
β”‚   β”œβ”€β”€ components/                # πŸ¦πŸ¦΄πŸ“šπŸͺ
β”‚   └── architecture/              # 5-layer system
β”‚
β”œβ”€β”€ guides/                        # πŸ—ΊοΈ Selection & use cases
β”‚   └── use-cases/                 # 6 validated examples
β”‚
└── reference/                     # πŸ“– Glossary, standards

References

ResourceLink
Building Effective Agentsanthropic.com/engineering
Claude Code Docsdocs.anthropic.com
Agent SDKdocs.anthropic.com/agent-sdk
Anthropic Cookbookgithub.com/anthropics
Agent Skills specagentskills.io
Agentic AI Foundation (MCP Β· AGENTS.md Β· goose)aaif.io
Patterns as runnable files (this repo)patterns-as-code/

Contributing

Contributions welcome! See CONTRIBUTING.md.

Requirements: Official sources β€’ Code examples β€’ Mermaid diagrams β€’ Established format


Built with Claude Code | Based on Anthropic documentation | 2025-2026
Independent community resource β€” not affiliated with Anthropic


ThibautMelen  ❀️  SuperNovae Studio Β πŸ΄β€β˜ οΈ

Frequently Asked Questions

What is agentic-ai-systems?βŒ„

agentic-ai-systems is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by ThibautMelen. πŸ” Agentic systems explained with chickens β€” the 2024 taxonomy + the 2026 canon (context engineering, skills, MCP, harnesses). Every pattern as a runnable, CI-checked file. Mermaid everywhere. It has 284 GitHub stars.

Is agentic-ai-systems safe to use?βŒ„

Yes. agentic-ai-systems passed SkillsLLM's automated security scan β€” a dependency vulnerability audit plus prompt-injection heuristics β€” with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install agentic-ai-systems?βŒ„

Clone the repository with "git clone https://github.com/ThibautMelen/agentic-ai-systems" and add it to your Claude Code skills directory (see the Installation section above).

Are there alternatives to agentic-ai-systems?βŒ„

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh agentic-ai-systems against similar tools.

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