skills.rest
JayFarei
JayFareiCOMMUNITY
Explore all skills by this author →
Website𝕏@jayfareiGitHub

opentraces

Capture AI agent actions and convert traces into datasets.

92|6|Updated Mar 27, 2026
Search Tags:#Git integration#data sharing#Hugging Face#dataset creation#AI work recording
One-click install
npx skills add https://github.com/JayFarei/opentraces --skill opentraces
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: opentraces
Source: https://github.com/JayFarei/opentraces/tree/main/skill
Command: npx skills add https://github.com/JayFarei/opentraces --skill opentraces

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires opentraces, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to capture, manage, and share agent work, creating datasets for open sharing on platforms like Hugging Face Hub.

Core Features & Use Cases

  • Trace Capture: Automatically capture and record actions taken by supported agents.
  • Data Storage: Store traces and related data in a private bucket and synchronize with remote platforms when approved.
  • Dataset Creation: Turn traces into datasets and publish them for broader use.
  • Use Case: Use the skill to track a development workflow, capture the steps, and then convert those steps into a dataset that can be analyzed and reused for further work.

Quick Start

Start by setting up the opentraces skill with opentraces setup.

Frequently Asked Questions about opentraces

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

FAQPage Schema
How do I record AI agent work for dataset creation?▼

To record AI agent work for dataset creation, this Skill automatically captures actions from supported agents like Claude Code and Codex CLI. The captured traces are stored in a private bucket and can be converted into datasets for open sharing.

Does this trace capture tool work with Claude Code and Codex CLI?▼

Yes, this trace capture tool works with Claude Code and Codex CLI. It is specifically designed to support these AI agents, allowing you to automatically capture, manage, and share their development and analysis workflows.

How do I share captured AI agent traces as open datasets on Hugging Face?▼

To share captured AI agent traces as open datasets on Hugging Face, you store the data in a private bucket and synchronize it with the remote platform when approved. This process turns your traces into publishable datasets for broader use.

What is needed to start tracking AI development workflows?▼

To start tracking AI development workflows, you need a private bucket for data storage and a supported AI agent like Claude Code, Codex CLI, or Pi. You begin the process by running the setup command to configure the environment.

Can I keep captured agent traces private before publishing them?▼

Yes, you can keep captured agent traces private before publishing them. The system stores all traces and related data in a private bucket, synchronizing with remote platforms like Hugging Face Hub only when explicitly approved.

Related Skills

Explore More Data & Analytics Skills→
Arry8Arry8
1

coding-agent

Delegate coding tasks to AI agents in isolated workspaces.

Community
Advanced
eliottbusinesseliottbusiness

huggingface-hub

Manage Hugging Face Hub models and datasets via the hf CLI.

Community
Intermediate
OKHP3OKHP3
2

okhp3-foundry-repo-creator

Convert AI-driven assets and ideas into standardized GitHub repositories.

Community
Advanced
rezosndrezosnd

excel-generator

Generate styled Excel workbooks with formulas, charts, and data validation.

Community
Intermediate