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AI EngineeringJavaScript

Agentic Engineering

by affaan-m

Agentic Engineering is an AI Engineering skill for Claude Code, published by affaan-m in ECC.

239.8K stars36.4K forkson affaan-m/ECCAdded 2026/08/13Repository updated 2026/08/12
ai-agentsanthropicclaudeclaude-codedeveloper-toolsllmmcpproductivity
Install in seconds
Install Agentic Engineering
Copy Agentic Engineering into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/affaan-m/ECC/tree/main/skills/agentic-engineering ~/.claude/skills/agentic-engineering

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/affaan-m/ECC.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
skills/agentic-engineering/SKILL.md in affaan-m/ECC
Installs to
~/.claude/skills/agentic-engineering
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering โ€” 2451 skills

What Agentic Engineering does

Agentic Engineering guides agents through eval-first execution, task decomposition, and cost-aware model routing. Use it when planning or executing engineering work that agents will carry out end to end.

Agentic Engineering is cataloged under AI Engineering on DirSkills. Agentic Engineering comes from a repository tagged ai-agents, anthropic, claude, claude-code and developer-tools.

Documentation

README

Agentic Engineering

Use this skill for engineering workflows where AI agents perform most implementation work and humans enforce quality and risk controls.

Operating Principles

  1. Define completion criteria before execution.
  2. Decompose work into agent-sized units.
  3. Route model tiers by task complexity.
  4. Measure with evals and regression checks.

Eval-First Loop

  1. Define capability eval and regression eval.
  2. Run baseline and capture failure signatures.
  3. Execute implementation.
  4. Re-run evals and compare deltas.

Task Decomposition

Apply the 15-minute unit rule:

  • each unit should be independently verifiable
  • each unit should have a single dominant risk
  • each unit should expose a clear done condition

Model Routing

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agentic Engineering

  • What else does affaan-m publish alongside Agentic Engineering?

    Agentic Engineering is one of 25 skills that DirSkills catalogs from affaan-m/ECC, the repository it ships in. Its siblings there include AI Regression Testing, AI-First Engineering and API Connector Builder. Each one is a separate skill with its own page in this directory, installs the same way Agentic Engineering does, and is maintained by affaan-m in that same repository. The rest of the collection is listed on the affaan-m/ECC page.

  • How does Agentic Engineering compare to other AI Engineering skills?

    Agentic Engineering ranks #8 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agentic Engineering against them. Open each page to compare what they document and how they install.

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