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Agentic Engineering

If you're letting Claude write most of your code, this formalizes how to stay in control without micromanaging. It's built around eval-first execution (write the test, capture baseline failures, implement, check deltas), decomposition into 15-minute verifiable units, and cost-aware routing between Haiku, Sonnet, and Opus based on task complexity. The review guidance is sharp: focus on invariants, error boundaries, and hidden coupling, not style bikeshedding. Useful if you're already doing agentic workflows and want clearer discipline around when to start fresh sessions, when to escalate model tiers, and what actually matters in code review when the agent did the typing.

skills.sh installs
5.8K
GitHub stars
300.3K
last updated
Aug 21, 2026

Install

$ npx -y skills add affaan-m/ecc --skill agentic-engineering --agent claude-code

Installs into .claude/skills of the current project.

Files

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

  • Haiku: classification, boilerplate transforms, narrow edits
  • Sonnet: implementation and refactors
  • Opus: architecture, root-cause analysis, multi-file invariants

Session Strategy

  • Continue session for closely-coupled units.
  • Start fresh session after major phase transitions.
  • Compact after milestone completion, not during active debugging.

Review Focus for AI-Generated Code

Sponsors

Details

Repository
github.com/affaan-m/ecc
Category
AI & Agent Building
First seen
Jul 14, 2026

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