simplemem-skill
Persistent, semantic long-term memory for AI agents. Save, query, and retrieve cross-session dialogues, decisions, and multimodal context using semantic compression.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
230 skills found
Persistent, semantic long-term memory for AI agents. Save, query, and retrieve cross-session dialogues, decisions, and multimodal context using semantic compression.
Dialectical reasoning and adversarial coding agent for MCP-enabled editors, forcing LLMs to resolve internal contradictions for higher quality outputs.
Trigger Pavlok hardware stimuli (vibe, beep, or zap) via API to enforce habits or provide physical feedback for task management.
AI-powered LinkedIn post generator for professionals. Create engaging thought leadership, career updates, and industry-specific content using the Sloan agent.
A framework for managing static site generator (SSG) projects using Astro, including build optimization, GitHub Pages deployment patterns, and type-safe content collection schemas.
Structured AI-guided research and market validation for new app ideas. Automates competitor analysis, technical feasibility, and MVP scoping.
Systematically trace code flows, locate implementations, diagnose performance issues, and map system architecture to understand complex codebases.
Context Engineering agent skill to initialize, generate, and execute comprehensive implementation blueprints (PRPs) for one-pass software development.
Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.
Validates and coordinates batch study guide operations, preventing errors by enforcing template compatibility, file availability, and source-only policies before agent execution.
Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.