Use when building AI agents with Microsoft Agent Framework (Semantic Kernel + AutoGen unified); when implementing memory or context providers; when threads won't deserialize; when workflow...
Use when executing implementation plans phase-by-phase with strict enforcement of quality gates, tests, and Definition of Done. Triggers on "build this plan", "execute plan", "implement phases",...
Web Audio API for JARVIS audio feedback and voice processing
Execute approved beads using sub-agent model. Each bead is a work package - agent loads surgical context, designs, implements, and verifies. Continues until feature complete.
Creates Cursor-specific AI subagents with isolated context for complex multi-step workflows. Use when creating subagents for Cursor editor specifically, following Cursor's patterns and directories...
Audit websites for SEO, performance, security, technical, content, and 15 other issue cateories with 150+ rules using the squirrelscan CLI. Returns LLM-optimized reports with health scores, broken...
当用户需要做系统综述/文献综述/related work/相关工作/文献调研时使用:AI 自定检索词,多源检索→去重→AI 逐篇阅读并评分(1–10分语义相关性与子主题分组)→按高分优先比例选文→自动生成"综/述"字数预算(70% 引用段 + 30% 无引用段,三次采样取均值)→资深领域专家自由写作(固定摘要/引言/子主题/讨论/展望/结论),保留正文字数与参考文献数硬校验,强制导出...
Workflow orchestrator that chains existing skills for feature development
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This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with...
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Interact with Google's Gemini model via CLI. Use when needing a second opinion from another LLM, cross-validation, or leveraging Gemini's Google Search grounding. Supports multi-turn conversations...
Guide and tooling for Ralph Driven Development (RDD), a spec runner that repeatedly invokes Codex (or other agents) over ordered specs until a magic phrase signals completion. Use when setting up...
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.