Workflow Crystallizer

Analyze memory logs to detect recurring patterns and suggest automations — cron jobs, skills, or workflow shortcuts. The agent builds its own shortcuts over...

This skill appears to do what it says: it scans your local memory files, clusters repeated events, and drafts actionable suggestions (cron JSON, skill SKILL.md drafts, saved prompts). Before enabling or scheduling it consider: 1) privacy — memory files often contain sensitive data and the skill includes snippets of those files in its suggestions/evidence; review outputs before approving or creating crons/skills; 2) scope of file access — it reads ~/.openclaw/cron/jobs.json and your skills directories to avoid duplicates; if you prefer isolation, run it in a sandbox or point it to a copy of your memory dir; 3) it does not auto-create cron jobs or push skills, it only writes a local state.json and prints ready-to-approve definitions — you must run openclaw cron create or otherwise apply changes manually; 4) inspect state.json and the generated reports for any sensitive content before sharing. If you want stronger guarantees, run the scripts with a restricted copy of your memory files or increase min_confidence / reduce max_suggestions_per_run in the config.

Type: OpenClaw Skill Name: workflow-crystallizer Version: 1.0.0 The workflow-crystallizer skill bundle is a legitimate automation tool designed to analyze OpenClaw memory logs for recurring patterns and suggest optimizations such as cron jobs or new skill drafts. The scripts (analyze_patterns.py, generate_suggestions.py, report.py, and state.py) implement a local clustering and scoring pipeline that operates entirely on the agent's workspace data without external network calls or unauthorized execution. The logic is transparent, well-documented, and follows a 'suggest-and-approve' model rather than taking autonomous harmful actions.