Skill Loop FAQs

Question 1

Is Skill Loop secure and does it send data to the cloud?

Accepted Answer

No. Skill Loop runs entirely on your local machine. All data, including skill registry, run logs, and amendments, is stored locally in a git-ignored directory (`.skill-telemetry/`). There are no network calls, telemetry, or cloud dependencies.

Question 2

What is Skill Loop and what problem does it solve?

Accepted Answer

Skill Loop establishes an automated feedback loop for AI coding tools, enabling 'SKILL.md' prompt files to self-improve. It solves the problem of AI skills degrading over time by observing, inspecting, amending, and evaluating their performance automatically.

Question 3

How does Skill Loop improve AI coding skills?

Accepted Answer

It automatically logs all skill invocations, detects failure patterns and staleness, proposes targeted `SKILL.md` patches based on this evidence, and evaluates these amendments on isolated git branches before applying them.

Question 4

Which AI coding tools are compatible with Skill Loop?

Accepted Answer

Skill Loop integrates seamlessly as an MCP server with Claude Code, Cursor, and any other MCP-compatible AI tools. It also provides adapters for OpenAI Codex and GitHub Copilot.

Question 5

How do I get started with Skill Loop?

Accepted Answer

The recommended way is to configure it as an MCP server in your AI tool's settings (e.g., `.mcp.json` for Claude Code/Cursor). Once configured, you can simply ask your AI tool to 'Initialize skill-loop' to begin automatic monitoring and improvement.

Skill Loop

Skill Loop

주요 기능

사용 사례

주요 기능

사용 사례