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Found 11 Skills
Extract and consolidate reusable components, design tokens, and patterns into your design system. Identifies opportunities for systematic reuse and enriches your component library.
Extract successful patterns from the current session and write to project_memory.json
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Pattern extraction and skill generation for mobile development sessions. Automatically learns from your coding patterns.
Domain-specific testing patterns for episodic memory operations. Use when testing episode lifecycle, pattern extraction, reward scoring, or memory retrieval.
Post-commit skill that reviews completed work, identifies reusable patterns, and creates/enhances skills for continual learning. Auto-executes after commits to build organizational knowledge.
' Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems'
Workflow for learning CuTe Python DSL by reading, importing, profiling, and extracting reusable patterns from CUTLASS Blackwell example kernels. Use when: (1) studying CUTLASS CuTe DSL reference implementations, (2) importing CUTLASS examples into the project runtime infrastructure, (3) building CuTe DSL knowledge base entries from profiling experiments, (4) understanding CuTe DSL API patterns, TMA pipelining, warpgroup scheduling, or persistent kernel structure.
Complete and score a learning episode to extract patterns and update heuristics. Use when finalizing a task to enable pattern extraction and future learning.
Systematically analyze agent plugins and skills to extract design patterns, architectural decisions, and reusable techniques. Trigger with "analyze this plugin", "mine patterns from", "review plugin structure", "extract learnings from", "what patterns does this plugin use", or when examining any plugin or skill collection to understand its design.
V2 instinct-based observational learning. Analyzes sessions to extract reusable mobile development patterns across time.