assign-codex-fanin

Consolidate Codex Cloud task outputs and diffs into a synthesis memo.

Updated Apr 3, 2026

Search Tags:#automation #workflow #codex #synthesis #diff #fanin

Ready to run

npx skills add https://github.com/strawgate/agent-skills --skill assign-codex-fanin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: assign-codex-fanin
Source: https://github.com/strawgate/agent-skills/tree/main/assign-codex-fanin
Command: npx skills add https://github.com/strawgate/agent-skills --skill assign-codex-fanin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of managing and consolidating fragmented outputs from multiple AI-driven workstreams, preventing information overload and ensuring a unified conclusion.

Core Features & Use Cases

Artifact Consolidation: Automatically gathers status reports, final diffs, and individual attempt diffs from Codex Cloud tasks.
Synthesis & Comparison: Identifies convergence and disagreements across multiple AI attempts to produce a single, actionable recommendation or integration plan.
Use Case: After running a large-scale research or implementation fanout, use this skill to synthesize the results into a coherent architectural memo or integration strategy.

Quick Start

Use the assign-codex-fanin skill to collect artifacts from the fanout manifest located at dev-docs/research/fanout-manifest.json and generate a synthesis memo.

Frequently Asked Questions about assign-codex-fanin

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I consolidate multiple AI task outputs into a single synthesis memo?▼

To consolidate distributed AI task outputs, this skill gathers status reports and final diffs from Codex Cloud to produce a unified synthesis memo. It evaluates convergence, disagreements, and repository constraints to generate a single actionable integration plan.

What's the best way to compare convergence and disagreements across multiple AI-generated workstreams?▼

Comparing convergence across AI-generated workstreams is handled by synthesizing individual attempt diffs into a single memo. It identifies agreements and disagreements against repository-specific constraints to deliver an actionable integration strategy.

Does synthesizing Codex Cloud artifacts require access to a local git repository?▼

Yes, synthesizing Codex Cloud artifacts requires access to the codex CLI and local git repository state. This access is necessary to validate and integrate the cloud-generated changes during the consolidation process.

How do I integrate fragmented AI research fanout results into a coherent architectural memo?▼

Integrating fragmented AI research fanout results involves collecting artifacts from a fanout manifest file. The skill consolidates these distributed task outputs and diff artifacts into a coherent architectural memo.

When should I use a synthesis memo for distributed AI task outputs instead of manual review?▼

Use a synthesis memo for distributed AI task outputs when managing large-scale research or implementation fanouts to prevent information overload. It automatically evaluates multiple workstreams to ensure a unified conclusion.