OpenRouter Skill: Create Agent TUI

Current

OpenRouter Skill: Create Agent TUI

An OpenRouter skill enabling terminal-based agent creation and management via a Text User Interface (TUI), prioritizing local control and scriptability.

Signal

OpenRouterTeam/skills: create-agent-tui · GitHub · 2026-04-24

Context

A newly released skill in the OpenRouter Team skills repository. This skill provides a Terminal User Interface (TUI) for creating and managing AI agents directly within the command line. It represents an effort to bring the "OpenRouter skill" concept to a more interactive, visual CLI context.

Key characteristics inferred:

  • Input: Likely accepts natural language prompts to generate agent configurations.
  • Interface: TUI (e.g., ncurses, ink, or similar) for navigating agent creation steps.
  • Output: Structured agent definitions or deployment artifacts.

Relevance

Directly supports the Terminal-Native Agentic Workflows circuit. By moving agent creation into the terminal, it reduces context switching between GUI dashboards (like OpenClaw Studio) and the codebase. It aligns with the "skills layer" signal (skills.sh), promoting modularity and explicit control.

Current State

  • Repository: Part of the main OpenRouter skills repo.
  • Format: Likely follows the OpenRouter skill standard (script + manifest).
  • Tooling: Depends on the underlying TUI library and OpenRouter backend integration.

Open Questions

  • What is the skill format (Python, Bash, JSON)?
  • Does it support local agent execution or only OpenRouter cloud deployment?
  • Can it interact with existing skill.sh or similar workflows?
  • What specific "agent" definition format does it output?

Connections

Related to skills-sh (modular skills), terminal-native-agentic-workflows (TUI pattern), and openrouter (the platform).

Connections

Related entries

External references

Score

Score derives from linkage, recency, and abstract depth; at-risk merely suggests erosion and does not indicate retirement.

Mediation note

Tooling: OpenRouterTeam/skills repository

Use: fetch URL for skill context and structure, assess fit within terminal-native workflows

Human role: test TUI implementation, verify OpenRouter skill format, validate local execution path

Limits: fetch returned directory listing; requires manual review of the skill's Python/Bash implementation and dependencies