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managed-agents-outcomes

An outcome elevates a session from conversation to work: you state what "done" looks like, and the harness runs an iterate → grade → revise loop until the artifact meets the rubric, hits max_iterations, or is interrupted. A separate grader…

  • Skills
  • Development
  • 1

What it does and how to use it

A skill that teaches Claude Code to do development tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/managed-agents-outcomes && curl -fsSL https://doutorai.pt/data/lib/skills__managed-agents-outcomes.md -o .claude/skills/managed-agents-outcomes/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Managed Agents - Outcomes

An **outcome** elevates a session from *conversation* to *work*: you state what "done" looks like, and the harness runs an iterate → grade → revise loop until the artifact meets the rubric, hits `max_iterations`, or is interrupted. A separate **grader** (independent context window) scores each iteration against your rubric and feeds per-criterion gaps back to the agent.

The SDK sets the `managed-agents-2026-04-01` beta header automatically on all `client.beta.sessions.*` calls; no additional header is required for outcomes.

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## The `user.define_outcome` event

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