affaan-m/ECC
ECC is a comprehensive agent harness performance optimization system providing skills, instincts, memory, security, and research-first development for various AI agent harnesses including Claude Co...
wshobson/agents
This project, 'wshobson/agents', offers a comprehensive agentic plugin marketplace designed to power various AI development environments. It features 84 plugins, 192 agents, 156 skills, and 102 commands, all built from a single Markdown source and made natively consumable by different platforms. While primarily built for Claude Code, it supports a range of other harnesses including OpenAI Codex CLI, Cursor, OpenCode, Gemini CLI, and GitHub Copilot. The unique aspect of this marketplace is its multi-harness support, ensuring that each platform receives idiomatic, harness-native artifacts rather than lowest-common-denominator translations. This is achieved through a `make generate` process that tailors the plugins to each specific environment. The marketplace provides modular, isolated, and composable plugins where agents, commands, and skills are auto-discovered from directory structures. Installing a plugin loads only its components into context, optimizing resource usage. It also outlines a three-tier model strategy for agent interactions, leveraging different models like Opus, Sonnet, and Haiku based on the task's complexity and criticality. The project includes a `plugin-eval` framework for static, LLM Judge, and Monte Carlo quality evaluation of plugins and skills. Extensive documentation is provided, covering plugin catalogs, agent descriptions, skill details, usage guides, architecture, harness compatibility matrices, authoring guidelines, and evaluation frameworks. Additionally, it integrates with Pensyve for external memory across all supported harnesses, highlighting its focus on practical, production-ready agentic workflows.
https://github.com/wshobson/agents
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