SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning

A Python framework for modular, self-contained skill management for machines.

This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.

A framework for discovering, compiling, and validating reusable skills for scientific agents.

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution

Open-World Self-Evolution for LLM Agents — agents that build both their skills and their own verification signals from scratch, with no target-task supervision. (Code coming soon.)

The first open-source agent skills builder. Define skills by vibe workflow, run on Claude Code, Cursor, Codex & more. Build Clawdbot 🦞· APIs for Lovable · Bots for Slack & Lark/Feishu · Skills are infrastructure, not prompts.

[ICML 2026] Meta Context Engineering via Agentic Skill Evolution

AI agents and Nix: parametrable skills/instructions and tools, packaged together in a reproducible and modular fashion

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

Compound Engineering Framework for Alpha Feature Research in Quant Finance

Fluent argument validation for fluent software development.

AtlasClaw is an enterprise agent framework supporting mutliple users and multi system integration.

Connect AI agents across any network — zero config, encrypted, skill-based routing

🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.

Preline UI is an open-source set of prebuilt UI components based on the utility-first Tailwind CSS framework.

An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.

Poirot is a deep research agent kernel built for those who care about how agents are architected.