Search Skills

Models agent mental states using BDI architecture, enabling cognitive agent development and neuro-symbolic AI integration through belief-desire-intention frameworks.

Designs and structures agent tools, including descriptions, complexity reduction, and interface specifications for efficient agent workflows.

Analyzes AI agent reasoning traces to debug, optimize, and improve performance, resolving failures and context degradation.

Diagnoses and mitigates context degradation, attention issues, and context confusion in AI agent systems.

Provides infrastructure setup for background agents, sandboxed execution, and remote coding environments using Modal sandboxes and agent orchestration.

A productivity assistant for personal branding, content creation, meeting preparation, goal tracking, and network management tasks.

Automates book data extraction, SFT dataset creation, and style model training with LoRA and author voice replication capabilities.

Provides design and implementation guidance for multi-agent system patterns including supervisor, swarm, context isolation, and agent coordination.

Guides LLM project planning, pipeline architecture design, task-model evaluation, and cost estimation for agent-assisted development.

Manages agent context by offloading to filesystem, reducing context window bloat through dynamic file-based storage and retrieval.

Optimizes AI model context to reduce token usage and improve efficiency through techniques such as KV-cache and context partitioning.

Enables evaluation of AI agent performance through test frameworks, rubrics, and multi-dimensional quality gates for agent pipelines.

Enables systematic LLM output evaluation through rubric creation, bias mitigation, and automated scoring for model comparison and quality assessment.

Template for creating new Agent Skills, providing a structured format for context engineering in skill development.

Automates generating changelog entries from git commits, categorizing changes, and updating CHANGELOG.md.

Provides Flutter patterns for BLE device communication, state management with Provider, backend integration, and localization across iOS and Android platforms.

Develops Omi framework plugins with webhook integration, chat tools, OAuth flows, and FastAPI/Express backend integrations.

Implements backend patterns for chat systems with memory extraction using LangGraph, FastAPI, and vector databases.

Provides firmware patterns and code examples for embedded systems using C/C++, BLE services, and audio codecs on nRF, ESP32, and Zephyr platforms.

Enables Omi API integration with OAuth authentication, webhook handling, and rate limiting for developer applications.

Optimizes LLM context window usage through semantic search and targeted references, improving model efficiency and relevance in AI applications.

Guides developers in selecting and utilizing Cursor's AI agent modes (Agent, Ask, Plan, Debug) for effective code development and problem-solving.

Provides structured debug mode workflows and best practices for efficiently troubleshooting complex bugs, regressions, and performance issues in software development.

Automates analysis of PRs, issues, and user interactions to continuously improve Cursor's rules and skills without manual intervention.