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output-meta-project-context

Skill

Comprehensive guide to Output.ai Framework for building durable, LLM-powered workflows orchestrated by Temporal. Covers project structure, workflow patterns, steps, LLM integration, HTTP clients, CLI commands, and the full inventory of available agents and skills.

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git clone https://github.com/growthxai/output.git ~/.claude/skills/output-meta-project-context

What is output-meta-project-context?

Comprehensive guide to Output.ai Framework for building durable, LLM-powered workflows orchestrated by Temporal. Covers project structure, workflow patterns, steps, LLM integration, HTTP clients, CLI commands, and the full inventory of available agents and skills.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

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~66 tokens of context used while enabled, before you invoke anything

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Documentation

README · ~10 min read

Output.ai Framework - Complete Project Context

What is Output.ai?

Output.ai provides infrastructure for building production-grade AI workflows: fact checkers, content generators, data extractors, research assistants, and multi-step agents. Built on Temporal, it guarantees durable execution - if execution fails mid-run, it resumes from the last successful step.

Core Philosophy

Separation of orchestration from I/O:

  • Workflows orchestrate execution (must be deterministic - no I/O)
  • Steps/Evaluators handle all I/O operations (HTTP, LLM, database calls)

This separation enables automatic retries, resumption, and debugging.

Component Taxonomy

| Component | Purpose | Key Rule |

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