juliensimon

Ocel Generator — AI skill for Claude Code

AI community

Generate realistic multi-agent workflow traces with LLM-enriched content, semantic validation, and PM4Py compatibility.

How to install Ocel Generator

This entry records only its repository, not the path inside it, so there is no exact command to give. Open juliensimon/ocel-generator and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Ocel Generator does

Generate realistic multi-agent workflow traces with LLM-enriched content, semantic validation, and PM4Py compatibility. pip install open-agent-traces

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README

ocelgen

**Generate realistic multi-agent workflow traces on demand.** Any domain, any pattern, any LLM. Validated against OCEL 2.0 and PM4Py.

[![PyPI](https://img.shields.io/pypi/v/open-agent-traces)](https://pypi.org/project/open-agent-traces/) [![CI](https://github.com/juliensimon/ocel-generator/actions/workflows/ci.yml/badge.svg)](https://github.com/juliensimon/ocel-generator/actions) [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE) [![Python 3.11+](https://img.shields.io/badge/Python-3.11%2B-blue.svg)](https://python.org) [![OCEL 2.0](https://img.shields.io/badge/OCEL-2.0-orange.svg)](https://www.ocel-standard.org/) [![Dataset on HF](https://img.shields.io/badge/%F0%9F%A4%97%20Dataset-open--agent--traces-yellow)](https://huggingface.co/datasets/juliensimon/open-agent-traces)

pip install open-agent-traces

ocelgen generate --pattern sequential --runs 50 --noise 0.2 --seed 42

**1,500+ events in under 2 seconds.** No API key needed for structural traces.

run-0000: "My order arrived damaged, what are my options?"
├── run_started                                              08:00:00.007
├── agent_invoked          researcher    gpt-4o              08:00:00.052
│   ├── llm_request_sent   "Search for refund policy..."     08:00:00.067
│   ├── llm_response       "The refund policy states..."     08:00:00.749
│   ├── tool_called        web_search    → policy found      08:00:01.705
│   └── tool_called        file_reader   → order history     08:00:01.898
├── agent_invoked          analyst       gpt-4o              08:00:02.281
│   ├── llm_request_sent   "Analyze refund eligibility..."   08:00:02.334
│   ├── llm_response       "Customer is eligible for..."     08:00:06.747
│   └── tool_called        calculator    → refund amount     08:00:08.819
├── agent_invoked          summarizer    claude-3.5-sonnet   08:00:09.680
│   ├── llm_request_sent   "Draft resolution response..."    08:00:09.717
│   └── llm_response       "De