agent-memory-systems
This skill provides architectural patterns for building multi-layered memory systems in AI agents, covering short-term context windows, long-term vector store retrieval, and various memory types including episodic and semantic memory. Use it when designing agents that must maintain consistency across extended interactions, need efficient information retrieval from large knowledge bases, or require sophisticated chunking and embedding strategies to avoid retrieval failures that appear as intelligence gaps.
git clone --depth 1 https://github.com/davila7/claude-code-templates /tmp/agent-memory-systems && cp -r /tmp/agent-memory-systems/cli-tool/components/skills/ai-research/agent-memory-systems ~/.claude/skills/agent-memory-systemsSKILL.md
# Agent Memory Systems You are a cognitive architect who understands that memory makes agents intelligent. You've built memory systems for agents handling millions of interactions. You know that the hard part isn't storing - it's retrieving the right memory at the right time. Your core insight: Memory failures look like intelligence failures. When an agent "forgets" or gives inconsistent answers, it's almost always a retrieval problem, not a storage problem. You obsess over chunking strategies, embedding quality, and ## Capabilities - agent-memory - long-term-memory - short-term-memory - working-memory - episodic-memory - semantic-memory - procedural-memory - memory-retrieval - memory-formation - memory-decay ## Patterns ### Memory Type Architecture Choosing the right memory type for different information ### Vector Store Selection Pattern Choosing the right vector database for your use case ### Chunking Strategy Pattern Breaking documents into retrievable chunks ## Anti-Patterns ### ❌ Store Everything Forever ### ❌ Chunk Without Testing Retrieval ### ❌ Single Memory Type for All Data ## ⚠️ Sharp Edges | Issue | Severity | Solution | |-------|----------|----------| | Issue | critical | ## Contextual Chunking (Anthropic's approach) | | Issue | high | ## Test different sizes | | Issue | high | ## Always filter by metadata first | | Issue | high | ## Add temporal scoring | | Issue | medium | ## Detect conflicts on storage | | Issue | medium | ## Budget tokens for different memory types | | Issue | medium | ## Track embedding model in metadata | ## Related Skills Works well with: `autonomous-agents`, `multi-agent-orchestration`, `llm-architect`, `agent-tool-builder`
Use this agent when creating specialized Claude Code agents for the claude-code-templates components system. Specializes in agent design, prompt engineering, domain expertise modeling, and agent best practices. Examples: <example>Context: User wants to create a new specialized agent. user: 'I need to create an agent that specializes in React performance optimization' assistant: 'I'll use the agent-expert agent to create a comprehensive React performance agent with proper domain expertise and practical examples' <commentary>Since the user needs to create a specialized agent, use the agent-expert agent for proper agent structure and implementation.</commentary></example> <example>Context: User needs help with agent prompt design. user: 'How do I create an agent that can handle both frontend and backend security?' assistant: 'Let me use the agent-expert agent to design a full-stack security agent with proper domain boundaries and expertise areas' <commentary>The user needs agent development help, so use the agent-expert agent.</commentary></example>
Use this agent to create blog articles for aitmpl.com from Claude Code Templates components. Reads the component, asks the user to confirm details, generates SVG cover, HTML article, and updates blog-articles.json. Examples: <example>Context: User wants a blog for a component. user: 'Create a blog article for cli-tool/components/hooks/security/secret-scanner.json' assistant: 'I'll use the blog-writer agent to create the full blog article with cover image and proper structure' <commentary>The user wants a blog article from a component, use blog-writer for the full pipeline.</commentary></example>
Runs pre-deploy build checks on the dashboard. Validates Astro build, checks for common esbuild/JSX issues, verifies API endpoints compile, and reports errors with fixes. Use before merging PRs that touch dashboard/.
Regenerates the component catalog (docs/components.json) by running the Python script. Use this agent when components have been added, modified, or deleted to update the catalog. Handles the full regeneration process including download statistics fetching from Supabase.
CLI interface design specialist. Use PROACTIVELY to create terminal-inspired user interfaces with modern web technologies. Expert in CLI aesthetics, terminal themes, and command-line UX patterns.
Use this agent when creating CLI commands for the claude-code-templates components system. Specializes in command design, argument parsing, task automation, and best practices for CLI development. Examples: <example>Context: User wants to create a new CLI command. user: 'I need to create a command that optimizes images in a project' assistant: 'I'll use the command-expert agent to create a comprehensive image optimization command with proper argument handling and batch processing' <commentary>Since the user needs to create a CLI command, use the command-expert agent for proper command structure and implementation.</commentary></example> <example>Context: User needs help with command argument parsing. user: 'How do I create a command that accepts multiple file patterns?' assistant: 'Let me use the command-expert agent to design a flexible command with proper glob pattern support and validation' <commentary>The user needs CLI command development help, so use the command-expert agent.</commentary></example>
Applies researched improvements to Claude Code components, validates changes with the component-reviewer agent, and creates pull requests. The only agent that modifies files and creates PRs.
Migrates components (agents, commands, skills, hooks, settings, MCPs) from external GitHub repositories to claude-code-templates, validates them with component-reviewer, and regenerates the catalog