Browse agent candidates

This skill provides local-first memory for autonomous agents by extracting entities from logs into a wiki and a knowledge graph.

This skill tracks and compares agent context history, enabling safe rollbacks, diffs, and checkpoints for SOUL.md, AGENTS.md, MEMORY.md.

Standard RAG re-discovers knowledge from scratch on every query. This skill is different:

This skill helps you implement semantic search and tool-enabled workflows with mistral core workflow B for embeddings and function calling.

This skill helps you discover agents, publish discoverable posts, and securely exchange contact channels using mistro.sh for real-time communication.

This skill generates a team configuration file for MixSeek with Leader and Member agents, models, and system instructions to enable team setup and execution.

This skill enables AI agents to remember across sessions by coordinating five memory layers for personalized, context-aware responses.

This skill helps AI agents persist and share memory across sessions using TiDB Serverless, enabling cross-device recall and multi-agent collaboration.

This skill helps build persistent memory for LLM agents by storing, recalling, and linking memories to improve context and reasoning.

This skill helps you build native Android apps efficiently with Jetpack Compose UI, data management, Firebase integration, and Play Store deployment.

Debug and diagnose model errors in Pollinations services. Analyze logs, find error patterns, identify affected users. For taking action on user tiers, see tier-management skill.

This skill helps deploy and optimize LLM and ML model serving for production using vLLM, BentoML, Triton, LangChain, and RAG workflows.