workflow-crystallizerAnalyze memory logs to detect recurring patterns and suggest automations — cron jobs, skills, or workflow shortcuts. The agent builds its own shortcuts over...
Install via ClawdBot CLI:
clawdbot install newageinvestments25-byte/workflow-crystallizerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Sep 22, 2026
In high-growth companies, executors in operations and EAs often repeat manual workflows like weekly reporting, calendar management, and approval routing that are never captured as formal processes. This skill mines their memory logs to surface 3+ occurrence patterns and recommends precise cron jobs or skill drafts. Each suggestion is backed by evidence and deduplicated against existing automations, turning invisible work into systematized automation.
Support leads constantly see the same issue types and repetitive multi-step workflows across customer interactions. The Workflow Crystallizer analyzes support logs to detect recurring request patterns and suggests workflow shortcuts or automated monitors. By tracking accepted/rejected suggestions, it avoids noise and ensures the team only implements automations with proven recurring demand.
Independent consultants often repeat similar project tasks like client onboarding, invoicing, and status updates without realizing the repetition. This skill analyzes their daily memory logs and identifies time-correlated patterns, suggesting cron jobs for routine reminders or skill drafts for repeatable project deliverables. The persistent state ensures suggestions are context-aware and build over time.
Clinic admins face recurring administrative tasks: patient reminders, insurance verification, and follow-up scheduling that occur at similar times each week. Workflow Crystallizer detects time-correlated patterns from logs and suggests cron-based automations or workflow shortcuts. Its deduplication against existing formalized processes prevents redundancy.
E-commerce ops teams often repeatedly handle inventory checks, order exceptions, and supplier communications without standardizing them. This skill mines memory logs for multi-step workflows with step similarity, surfacing skill drafts or monitoring proposals with confidence scoring. It helps ops managers crystallize recurring chaos into reliable automated pipelines.
A subscription-based platform that integrates with an AI agent's memory logs to continuously suggest and manage workflow automations. It offers team dashboards, state persistence, and cron/skill generation as a service. Revenue comes from monthly per-seat subscriptions with tiered confidence thresholds and suggestion limits.
A service-based model where consultants deploy the Workflow Crystallizer for clients, analyze their memory logs, and implement the suggested automations. It includes training, custom pattern tuning, and ongoing optimization. Revenue is generated through project fees and retainers.
The core skill is open-source and free, encouraging adoption and community contributions. Paid tiers offer advanced features like cloud state sync, team collaboration, higher confidence thresholds, and integration with popular cron schedulers. Revenue is driven by upselling to power users and teams.
💬 Integration Tip
Run the full pipeline first to establish state, then schedule weekly incremental runs via cron; adjust min_confidence in state.json to control suggestion volume and avoid alert fatigue.
Scored Sep 22, 2026
Create, list, modify, and remove scheduled cron jobs to automate system tasks using simplified cron syntax and manage output logging.
Manage n8n workflows and automations via API. Use when working with n8n workflows, executions, or automation tasks - listing workflows, activating/deactivating, checking execution status, manually triggering workflows, or debugging automation issues.
Diagnose and triage cron job failures. Checks job states, identifies error patterns, prioritizes by criticality, generates health reports. Triggers on: cron...
Decomposes complex user requests into executable subtasks, identifies required capabilities, searches for existing skills at skills.sh, and creates new skills when no solution exists. This skill should be used when the user submits a complex multi-step request, wants to automate workflows, or needs help breaking down large tasks into manageable pieces.
Set reminders using natural language. Automatically creates one-time cron jobs and logs to markdown.
Performs a two-phase audit combining a fast deterministic scan and a deep LLM quality review of security, cron jobs, config, and skills.