SynaLinks/synalinks-skills

Registry 信息

项目简介

SynaLinks为其开源神经符号AI项目开发的Claude Skill集合，专注于将大语言模型与符号推理能力相结合。

要点

• 神经符号AI集成
• Claude Skill实现
• 基于Python开发
• 开源项目支持
• 大语言模型增强

使用场景

• 通过符号推理扩展Claude能力
• 神经符号AI研究与开发
• 开源AI工具集成
• LLM增强项目
• AI技能库开发

README 摘要

# Claude Skills for Synalinks --- This repository contains skills to use with Claude Code. ## What Are Claude Skills? Claude Skills are customizable workflows that teach Claude how to perform specific tasks according to your unique requirements. Skills enable Claude to execute tasks in a repeatable, standardized manner across all Claude platforms. ## What is the goal of Synalinks skills? The goal of Synalinks skills is to teach Claude to use the Synalinks framework correctly. Synalinks is Keras-inspired, so without guidance LMs tend to mix Keras / LangChain / DSPy syntax — producing plausible-looking but broken code. These skills constrain Claude to idiomatic Synalinks usage. ## The 11 Skills Each skill targets one slice of the framework. Claude auto-activates the relevant skill(s) based on what you're asking about. | Skill | When it activates | |-------|-------------------| | **synalinks-core** | DataModel, Field, Input, JSON operators (`+ & \| ^ ~`), `synalinks.ops`, configuration, LanguageModel/EmbeddingModel basics | | **synalinks-programs** | Program class, four building APIs (Functional / Sequential / Subclassing / Mixed), multi-input/output graphs, build/call lifecycle, save/load, `summary`, `get_module`, `plot_program`, custom serialization | | **synalinks-modules** | Generator, ChainOfThought, SelfCritique, Identity, PythonSynthesis, SequentialPlanSynthesis, custom modules via subclassing | | **synalinks-control-flow** | Decision, Branch, parallel branches, self-consistency, XOR input/output guards, And/Or modules, branch merging | | **synalinks-agents** | FunctionCallingAgent, ToolCalling, Tool definitions, MCP integration (MultiServerMCPClient), trajectories | | **synalinks-knowledge** | KnowledgeBase (DuckDB), EmbedKnowledge, UpdateKnowledge, Retrie

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