Don't Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows
Not on the map. Why?
Abstract (arXiv)
Skele-Code is a natural-language and graph-based interface for building workflows with AI agents, designed especially for less or non-technical users. It supports incremental, interactive notebook-style development, and each step is converted to code with a required set of functions and behavior to enable incremental building of workflows. Agents are invoked only for code generation and error recovery, not orchestration or task execution. This agent-supported, but code-first approach to workflows, along with the context-engineering used in Skele-Code, can help reduce token costs compared to the multi-agent system approach to executing workflows. Skele-Code produces modular, easily extensible, and shareable workflows. The generated workflows can also be used as skills by agents, or as steps in other workflows.
Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 6 of its 71 references that are in the map. First posted on arXiv 18 Mar 2026.
Builds on
6 of 71 references.
References · 6
- 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,412
- 2024RULER: What's the Real Context Size of Your Long-Context Language Models?cited by 1,302
- 2025Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivitycited by 99
- 2025Agentic AI Security: Threats, Defenses, Evaluation, and Open Challengescited by 27
- 2024AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systemscited by 20
- 2025Good Vibrations? A Qualitative Study of Co-Creation, Communication, Flow, and Trust in Vibe Codingcited by 11
Built on by
Not cited yet.
Similar, not cited
Close in wording, no citation either way
- 2025Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
- 2026Mise en Place for Agentic Coding: Deliberate Preparation as Context Engineering Methodology
- 2025SEW: Self-Evolving Agentic Workflows for Automated Code Generation
- 2026CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows
- 2025Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks
- 2026ZORO: Active Rules for Reliable Vibe Coding
- 2026Vibe-GUIDE: A Graph-based User Interface in IDEs for Oversight in Vibe Coding
- 2026ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders