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AI & LLM Engineering · hashgraph-online/awesome-codex-plugins
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Generate or edit raster images through an OpenAI-compatible image API. | hashgraph-online/ | 1.3k | — | ~852 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2 | Turn a raster logo (PNG, JPG, WebP) into a pixel-identical, self-contained SVG by base64 embedding. | hashgraph-online/ | 1.3k | — | ~826 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Analyze and communicate A/B test results with metric readouts, subgroup analysis, data-quality checks, ad hoc investigation, visualization, and launch recommendations. | hashgraph-online/ | 1.3k | — | ~859 | Automated safety check: Pass | MIT | yesterday |
| 4 | Build multimodal AI apps with Pixeltable. An agent skill from hashgraph-online/awesome-codex-plugins. | hashgraph-online/ | 1.3k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 5 | Step-by-step process for adopting Cavekit on an existing codebase. | hashgraph-online/ | 1.3k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 6 | 6.Chunking A skill your agent uses when splitting extracted text into chunks for LLM context windows or RAG ingestion. | hashgraph-online/ | 1.3k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 7 | Classify a task or feature as quick, standard, or thorough so the rest of the pipeline (budget sizing, model routing, review depth) can right-size itself. | hashgraph-online/ | 1.3k | — | ~1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 8 | 8.Eval Quality and performance evaluation with baseline comparison. | hashgraph-online/ | 1.3k | — | ~2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 9 | A skill your agent uses when extracting keywords (YAKE/RAKE) from documents — and, secondarily, when detecting document language or generating embeddings for RAG and search. | hashgraph-online/ | 1.3k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 10 | Direct high-fidelity cinematic video with AI — translates creative intent into technical cinematographic directives for Veo3, Kling, and Luma video models via muapi.ai | hashgraph-online/ | 1.3k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 11 | How to design the numbered prompt pipeline that drives Hunt phases in Cavekit. | hashgraph-online/ | 1.3k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 12 | Turn a long video into N viral-ready short clips with a single managed API call. | hashgraph-online/ | 1.3k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 13 | ADK 框架适配层。为 LangChain / EINO / AutoGen / AgentScope / CrewAI 提供框架特定的 代码模板、惯用模式、API 映射和项目结构，供 agent-dev-workshop Phase 5 代码生成使用。 | hashgraph-online/ | 1.3k | — | ~528 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 14 | 交互式 AI Agent 开发工作坊：通过 6 阶段深度协作对话，引导用户完成 Agent 需求分析、架构设计、 工具定义、Prompt 与编排设计、代码生成、验证迭代，产出可直接运行的 Agent 项目。 | hashgraph-online/ | 1.3k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 15 | AI Agent 架构模式目录。提供 ReAct、Multi-Agent Conversation、Multi-Agent Workflow、 RAG Agent、Tool-Use Agent、Autonomous Agent 六种核心模式的参考架构、组件拓扑、 数据流、设计决策和框架无关的最佳实践。供 agent-dev-workshop Phase 2 调用。 | hashgraph-online/ | 1.3k | — | ~445 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 16 | Design and review predictable Go command-line interfaces with canonical names and flags; explicit inputs and precedence; human, plain, and structured output; safe prompting; stdout and stderr… | hashgraph-online/ | 1.3k | — | ~864 | Automated safety check: Pass | MIT | yesterday |
| 17 | Design and review stable, idiomatic Go package APIs covering naming, exported declarations, embedding, receivers, typed-nil interfaces, generics, functional options, method sets, errors, wire… | hashgraph-online/ | 1.3k | — | ~789 | Automated safety check: Pass | MIT | yesterday |
| 18 | 18.Review PR Review a GitHub pull request with the RAG + code-graph pipeline (reviewer MCP server). | hashgraph-online/ | 1.3k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 19 | 19.Solve Task Gather disciplined context for solving a task, then hand off to development. | hashgraph-online/ | 1.3k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
