Gald3r-Labs/gald3r — AI dev framework: 22 agents, 100 core skills + 142 addon skill packs, 149 commands.

Description and use

**Project Summary:**
Gald3r is an open-source AI development framework that enables users to create repeatable agent workflows by integrating 22 agents with 100 core skills and 142 addon skill packs across 21 AI tools. This framework helps standardize agent memory and allows for the coordination of multi-agent workflows. With its file-based memory persistence, Gald3r facilitates the creation of tool-use pipelines and isolated prompts.

**Value Proposition:**
The primary value proposition of Gald3r is its ability to turn isolated prompts and tools into repeatable agent workflows. This allows developers to streamline their workflows, automate tasks, and improve productivity.

**Practical Adoption Path:**
To adopt Gald3r, users can start by evaluating its feasibility through a small proof of concept and reviewing the project's README documentation. Once familiar with the framework, users can begin integrating Gald3r into their existing workflows, using its 149 commands and 21 AI tools. As users gain more experience, they can leverage Gald3r's customization options and extend its capabilities to meet their specific needs.

**Production Readiness:**
Gald3r is considered production-ready at a medium level. While it has shown promise in facilitating the creation of repeatable agent workflows, users should exercise caution and

Problem

Gald3r-Labs/gald3r helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

AI dev framework: 22 agents, 100 core skills + 142 addon skill packs, 149 commands. Runs on 21 AI tools: Cursor, Claude Code, Copilot, Windsurf, Cline, Aider, Roo, Kiro, OpenHands, Gemini, Codex, Goose, Warp & more. File-based memory persists across sessions.

Source