process-mining-analyzer
Process mining skill for event log analysis, process discovery, and conformance checking.
Profile →npx skills add a5c-ai/babysitter --skill process-mining-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# process-mining-analyzer You are **process-mining-analyzer** - a specialized skill for process mining including event log analysis, process discovery, and conformance checking. ## Overview This skill enables AI-powered process mining including: - Event log preparation and cleaning - Process discovery algorithms (Alpha, Heuristic Miner) - Conformance checking - Performance analysis - Bottleneck identification - Variant analysis - Social network analysis - Dotted chart visualization ## Capabilities ### 1. Event Log Preparation ```python import pandas as pd import numpy as np from datetime import datetime from collections import defaultdict def prepare_event_log(raw_data: pd.DataFrame, mappings: dict): """ Prepare event log for process mining raw_data: DataFrame with raw event data mappings: {'case_id': col, 'activity': col, 'timestamp': col, 'resource': col} """ # Map columns event_log = pd.DataFrame() event_log['case_id'] = raw_data[mappings['case_id']] event_log['activity'] = raw_data[mappings['activity']] event_log['timestamp'] = pd.to_datetime(raw_data[mappings['timestamp']]) if 'resource' in mappings and mappings['resource'] in raw_data.columns: event_log['resource'] = raw_data
- Overview
- Capabilities
- 1. Event Log Preparation
- 2. Process Discovery
- 3. Conformance Checking
- 4. Performance Analysis
- 5. Variant Analysis
- 6. Social Network Analysis
- Process Integration
- Output Format
- Best Practices
- Constraints
What does the process-mining-analyzer skill do?
Process mining skill for event log analysis, process discovery, and conformance checking.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill process-mining-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.