opper-api
Direct access to the Opper REST API for LLM orchestration, model management, task execution, and seamless migration from OpenAI, Anthropic, or OpenRouter.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
312 skills found
Direct access to the Opper REST API for LLM orchestration, model management, task execution, and seamless migration from OpenAI, Anthropic, or OpenRouter.
A CTF solver agent that performs triage on challenges, identifies the vulnerability category, and routes tasks to specialized skills for web, pwn, crypto, forensic, and reverse engineering analysis.
6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
A collection of design patterns for the Langroid multi-agent framework, covering agent configuration, tool handling, task orchestration, and external integrations.
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.
Complete project architecture and structure guide for LobeHub. Use for codebase exploration, project organization, file location, and architectural context.
Conduct automated code reviews for local changes or remote GitHub Pull Requests. It analyzes code for correctness, maintainability, and standards using git and gh CLI integration.
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
Validate WebSocket and HTTP stream health for WaveCap-SDR. Measure latency, throughput, packet loss, and signal quality for audio, spectrum, and IQ streams.
Conduct systematic literature reviews across PubMed, arXiv, and Semantic Scholar with AI-driven synthesis, verified citations, and mandatory schematic visualization.
Design modular TypeScript libraries using HexDI principles: compile-time dependency validation, feature-first organization, and clean API boundaries.