Agent Skills by samvanme
Showing 16 vetted skills indexed across 1 GitHub repositories.
frontend-design
Generate production-ready React, Vue, or HTML/CSS interfaces with defined design systems.
context-engineering-collection
Organize context engineering skills with YAML frontmatter and progressive disclosure.
skill-template
Create standardized Agent Skills with SKILL.md frontmatter and structured Markdown sections.
digital-brain
Load modular memory and run Python scripts for content workflows.
multi-agent-patterns
Provide structured patterns for coordinating multi-agent systems with handoff protocols.
bdi-mental-states
Translate RDF context into BDI mental states with temporal validity.
context-degradation
Diagnose context degradation patterns in long-context AI agent interactions.
context-compression
Compress long conversation histories to optimize token usage while preserving critical context.
memory-systems
Persist agent memory across sessions with layered memory and temporal knowledge graphs.
advanced-evaluation
Evaluate LLM outputs with scoring rubrics and bias-aware comparison.
context-fundamentals
Explain context management for AI agents and document token budgets.
project-development
Evaluate task-model fit and outline minimal LLM project architecture plans.
evaluation
Evaluate agent outputs against multi-dimensional rubrics with weighted scores and pass/fail decisions.
context-optimization
Compress and organize context using compaction, masking, KV-cache optimization, and partitioning.
filesystem-context
Offload large tool outputs and persistent context to files using Python and JSON/YAML.
tool-design
Design agent tools with explicit contracts and consistent definitions.