matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A…
matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that…
matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling.
matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords…
matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI…
matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
matheuswidder/Acervo-Agents-n-Skills
Skill Claude CodeCodex
Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.