Leaderboard/Software Engineering/synalinks-skills
Last commit on June 20, 2026·Created on June 17, 2023

SynaLinks/synalinks-skills

Guides Synalinks from data model to trained program.
Combined rank
#210
across all skills
In Software Engineering
#18
category rank
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Watchers
22
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Description

This skill provides a single entry point for building neuro-symbolic AI with Synalinks, a Keras-inspired framework. It covers structured data models, program DAGs with four building APIs, generation modules with chain-of-thought and self-critique, control flow with branching and guards, agents with tool use and sandboxed execution, and in-context reinforcement learning training. It keeps usage idiomatic, serving neuro-symbolic researchers, agent engineers, RAG builders, and LLM developers who need to avoid mixing syntax from other frameworks.

WHO IT'S FOR
Neuro-symbolic AI researchers
build neuro-symbolic programs with structured I/O
AI agent / automation engineers
build autonomous agents with tool use
RAG / knowledge-base engineers
build retrieval-augmented generation systems
LLM application developers
build structured LLM programs with control flow
30 Days of GitHub Stars
+3 stars
↑ 0.3% monthly change
Jul 7Jul 14Jul 21Jul 28Aug 5
Compatibility & Install
1 Skill · 3 Compatible agents · 3 categories · 2 install paths
Compatible agents
Claude CodeGemini CLIDeepSeek
Categories
Software EngineeringAgent OrchestrationKnowledge
Install via
Clone to Claude
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