Tutorial / Demo

open-code-workflows

Role-based agent pipelines (build, enhance, debug) that turn a seed concept into a web app. Stage-managed sub-agents handle concept→features→architecture→backend→frontend→verification. Includes ready-made seed concepts. Model- and agent-agnostic; validated in OpenCode.

Jarad Peckenpaugh@jpeckenpaugh · Atlas 69.9 · #4= builder

View on GitHub Open Jarad Peckenpaugh's Atlas

What it is

The repository provides a set of markdown-based role-based pipelines and instructions for building web applications using an agentic coding assistant, covering stages from concept to documentation.

Scored from the code at its last scan, 15 Oct 2026. How merit is scored

Where it counts

AI Agents90%
MLOps40%
NLP & LLMs20%
Machine Learning10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the AI Agents board

Whole board

RankProjectBuilderFieldMerit

16seekdepth.orgEducational ImplementationThe repository contains a collection of markdown documents describing a conceptual AI agent framework called Darshana, including mode flags, decomposition layers, and reflective practices. It provides narrative and philosophical explanations but no executable code or…36.1/100ExplorationJarad PeckenpaughAI Agents
17agent-security-skillsAI Developer ToolThe repository provides two Agent Security Skills in markdown format for AI agents like Claude Code, focusing on API security and authentication patterns. It contains no executable code, only documentation and code examples.35.9/100ExplorationPop AlexandruAI Agents
18open-code-workflowsTutorial / Demo27.8/100ExplorationJarad PeckenpaughAI Agents
19trustcertia-mcpAI Developer ToolTrustCertia MCP is a Claude Code plugin that provides a set of tools for AI agents to inspect public website evidence via the TrustCertia service. The repository contains only documentation and configuration files, with no source code implementation.16.8/100ExplorationMaster MindAI Agents

What it is

Where it counts

Around it on the AI Agents board

More from Jarad Peckenpaugh