recommendations

Generate workflow and automation recommendations from detected user activity patterns.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/zm2231/personal-os-cowork --skill recommendations-zm2231
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: recommendations
Source: https://github.com/zm2231/personal-os-cowork/tree/main/.claude/skills/recommendations
Command: npx skills add https://github.com/zm2231/personal-os-cowork --skill recommendations-zm2231

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill reduces wasted time and friction by detecting recurring patterns in your work and turning them into prioritized, confidence-weighted recommendations you can act on or automate.

Core Features & Use Cases

  • Pattern analysis to suggestions: Converts repeated command sequences, timing patterns, and multi-app workflows into concrete recommendations (automation, scheduling, process changes, tool swaps).
  • Confidence-based delivery: Uses low/medium/high thresholds to decide whether to store, prompt, or proactively enact a recommendation.
  • Action & validation loop: Offers one-click creation of shortcuts/automations, tracks acceptance or rejection, and validates impact over time with follow-ups.
  • Privacy-first operation: All analysis and recommendation logic runs locally with no external data exfiltration.
  • Use case examples: Auto-create a 'publish-code' shortcut from repeated git sequences, suggest blocking deep-work hours based on productivity windows, or propose switching editors for better markdown workflows.

Quick Start

Say "Any suggestions?" to receive prioritized recommendations and optionally create automations from detected patterns.

Frequently Asked Questions about recommendations

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

FAQPage Schema
How do I get workflow automation recommendations for repeated command sequences?

To get workflow automation recommendations, simply ask for suggestions. The system detects repeated command sequences and multi-app workflows, then generates prioritized recommendations with confidence levels for you to act on or automate.

What are proactive scheduling suggestions and how do they detect productivity patterns?

Proactive scheduling suggestions analyze timing variability in your work patterns to identify productivity windows. The system uses this pattern detection to recommend blocking deep-work hours or adjusting schedules for optimal efficiency.

Can I automatically create shortcuts from detected workflow patterns?

Yes, you can automatically create shortcuts from detected workflow patterns. The system offers one-click creation of shortcuts or automations based on your repeated command sequences, such as auto-creating a 'publish-code' shortcut from frequent git operations.

Does pattern detection for workflow recommendations require external data exfiltration?

Pattern detection for workflow recommendations operates entirely locally without external data exfiltration. All analysis and recommendation logic runs on your device, ensuring privacy-first operation while detecting and processing your activity patterns.

How does confidence-based delivery work for automation suggestions?

Confidence-based delivery uses low, medium, and high thresholds to determine how automation suggestions are handled. Low confidence suggestions are stored, medium ones prompt the user, and high confidence recommendations can be proactively enacted.