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Agentic Engineering

An advanced process skill that forces agent workflows to be designed as the smallest sufficient architecture with bounded autonomy and verifiable evidence.

Dev & CodingAdvanced★ 136⑂ 19AI score 9/10Last updated: Aug 20, 2026

What it does

  • Treats an agent as a stateful engineering process, not a prompt, and prescribes the design workflow.
  • Runs an adoption gate: use an agent only when ambiguity outweighs orchestration, verification, and maintenance cost; otherwise prefer deterministic code.
  • Maps unknowns into known / probeable / prototype-testable / externally blocked, and probes boundary and interface unknowns before implementation.
  • Selects the lowest sufficient topology: one-shot → loop → graph → multi-agent teams.
  • Requires harness controls (least privilege, tool schemas, timeouts, checkpoints, idempotency, rollback) and a durable state contract {run_id, status, attempt, budget, evidence, ...}.
  • Ships a failure protocol (NEEDS_INPUT, VERIFY_FAILED, NO_PROGRESS, BUDGET_STOP), a 3-attempt retry cap, and mandatory human approval before production, spending, or destructive mutation.

Who it's for

  • Platform/AI engineers building and operating internal agent pipelines.
  • Developers who keep failing when delegating large refactors or migrations as a single zero-shot goal.
  • Tech leads who must document agent quality bars and approval boundaries.

Examples

  1. "Automate our legacy payment migration with an agent" → measure the failing task horizon, publish stable interfaces, delegate smaller verified slices.
  2. "Spin up a multi-agent team to edit one file" → explain that coordination cost exceeds value and run a single bounded process.
  3. "Unit tests pass — can we ship?" → detect user-workflow regression, return VERIFY_FAILED, and demand approval plus a rollback point first.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/Mark393295827/third-brain-v7-skills/HEAD/skills/agentic-engineering/SKILL.md

What I want: (describe your task here)

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↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/agentic-engineering folder from the GitHub repo Mark393295827/third-brain-v7-skills into my ~/.claude/skills/agentic-engineering/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/Mark393295827/third-brain-v7-skills.git && mkdir -p ~/.claude/skills && cp -r third-brain-v7-skills/skills/agentic-engineering ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open your terminal.
  2. Clone the repo: git clone https://github.com/Mark393295827/third-brain-v7-skills.git
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy the skill: cp -r third-brain-v7-skills/skills/agentic-engineering ~/.claude/skills/
  5. Verify that ~/.claude/skills/agentic-engineering/SKILL.md exists.
  6. Restart Claude Code and ask something like "design an agentic workflow for this repo" to trigger it.
  7. Adapt the approval and rollback gates to your own team's policies before relying on them.
View source on GitHub ↗License: MIT