skills.rest
vincenttresno
vincenttresnoCOMMUNITY
Explore all skills by this author →
GitHub

pattern-application

Retrieve and rank relevant patterns from semantic memory during morning check-ins.

Updated Aug 27, 2026
Search Tags:#productivity#knowledge-management#pattern-matching#semantic-memory#morning-check-in#priority-coaching
One-click install
npx skills add https://github.com/vincenttresno/luke-brain-template --skill pattern-application
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pattern-application
Source: https://github.com/vincenttresno/luke-brain-template/tree/main/.claude/skills/pattern-application
Command: npx skills add https://github.com/vincenttresno/luke-brain-template --skill pattern-application

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Morning planning and priority coaching often miss relevant, previously proven approaches, causing repeated trial-and-error and wasted time. This Skill surfaces high-value patterns from semantic and episodic memory so users can apply proven approaches to today's work with less friction and more confidence.

Core Features & Use Cases

  • Domain identification: detect which domains (growth, product, analytics, operations, business) the user's tasks map to using keyword mapping.
  • Pattern retrieval and ranking: load semantic memory files, match tasks to patterns, and rank suggestions by confidence, recency, time savings, and context constraints.
  • Integration and tracking: weave pattern suggestions into morning priority coaching, offer workflows or templates, and record which patterns were applied or skipped for evening validation and pattern refinement.
  • Use case example: during a morning check-in the skill suggests 2-3 patterns (e.g., outreach timing, personalization workflow, cohort query) and helps block time and apply templates.

Quick Start

Trigger it during your morning check-in or use the manual command /apply [domain] [task description] to surface 2-3 relevant patterns.

Frequently Asked Questions about pattern-application

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

FAQPage Schema
How do I surface proven patterns during morning check-ins?▼

To surface proven patterns during morning check-ins, this Skill matches your planned task descriptions against semantic and episodic memory files, ranking suggestions by confidence and recency to help you apply past successes to today's work.

What is semantic memory pattern matching for productivity?▼

Semantic memory pattern matching for productivity retrieves previously proven approaches from markdown memory files by mapping your tasks to domains like growth, product, and analytics, reducing repeated trial-and-error.

How do I manually apply a pattern to a specific task?▼

To manually apply a pattern to a specific task, use the /apply command followed by the domain and task description to retrieve and rank 2-3 relevant patterns from your semantic memory files.

Do I need specific memory files to use pattern matching for priority coaching?▼

Yes, pattern matching for priority coaching requires access to semantic and episodic markdown memory files containing domain keyword mappings, confidence and recency metadata, and read-only reference files for pattern details.

How does the Skill rank pattern suggestions for my daily tasks?▼

Pattern suggestions for daily tasks are ranked by confidence, recency, time savings, and context constraints to ensure the most relevant and proven approaches are prioritized for your morning planning.

Can I track which patterns were applied or skipped for evening validation?▼

Yes, the Skill records which patterns were applied or skipped during morning priority coaching, enabling evening validation and ongoing pattern refinement based on actual usage.

Related Skills

Explore More Personal & Entrepreneur Skills→
Shamrock2245Shamrock2245
1

self-improving-agent

Extract experiences into reusable semantic patterns for Shamrock Trading Bot's memory system.

Community
Advanced
QredenceQredence
108

system-learn

Ingest markdown files into ChromaDB for semantic procedural memory retrieval.

Official
Intermediate
LEEI1337LEEI1337
6

review-implementing

Convert reviewer comments and PR feedback into actionable tasks and code edits.

Community
Intermediate
dingdyandingdyan

openviking

Serve RAG and semantic search over documents via an OpenViking MCP interface.

Community
Intermediate