clawperator-skill-author-by-recording

Name: clawperator-skill-author-by-recording
Availability: InStock
Author: clawperator

Create a Clawperator runtime skill from a phone recording and self-test it.

2|Updated Feb 17, 2026

Search Tags:#ai-agent #self-test #skill-authoring #clawperator #recording-workflow #skill-result #workflow-orchestrated

Ready to run

npx skills add https://github.com/clawperator/clawperator --skill clawperator-skill-author-by-recording

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: clawperator-skill-author-by-recording
Source: https://github.com/clawperator/clawperator/tree/main/apps/node/bundled-skills/clawperator-skill-author-by-recording
Command: npx skills add https://github.com/clawperator/clawperator --skill clawperator-skill-author-by-recording

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps developers convert a real-device recording into a ready-to-run Clawperator skill, including the workflow to derive a truthful skill_id and perform a self-test to emit a SkillResult.

Core Features & Use Cases

End-to-end proving workflow: record a device flow, export artifacts, scaffold a runtime skill, and run a self-test to produce a SkillResult.
Decision framework: automatically choose replay or orchestrated shape based on recording evidence and user input.
Repair loop: support patching skill artifacts and re-running until success.
Evidence retention: keeps a sanitized baseline and per-run artifacts for auditing.

Quick Start

Start a session with clawperator-skill-author-by-recording, record a device flow, and follow prompts to export, scaffold, and self-test the authored skill.

Frequently Asked Questions about clawperator-skill-author-by-recording

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I turn a phone recording into an AI agent skill?▼

To turn a phone recording into an AI agent skill, you record a real device flow, export the artifacts, and scaffold a runtime skill. The workflow helps you derive a skill_id and run a self-test to produce a SkillResult.

What is the workflow for authoring a skill from a device recording?▼

The workflow for authoring a skill from a device recording involves recording a device flow, scaffolding the skill artifacts, and running a self-test. It automatically chooses replay or orchestrated execution based on recording evidence.

Do I need to manually choose replay or orchestrated execution when creating a skill?▼

You do not need to manually choose replay or orchestrated execution. The workflow automatically decides the skill shape based on the recording evidence and your input, ensuring the generated skill matches the captured device flow.

What happens if a skill self-test does not produce a passing SkillResult?▼

If a skill self-test does not produce a passing SkillResult, the workflow enters a repair loop. This allows you to patch the skill artifacts and re-run the self-test until a passing result is achieved.

Does skill authoring from a recording preserve the original workflow evidence?▼

Skill authoring from a recording preserves workflow evidence by keeping a sanitized baseline and per-run artifacts. This ensures auditing accuracy while enabling the repair loop to reference original device flow data.

Can I use a recorded workflow to test AI agent skills automatically?▼

You can use a recorded workflow to test AI agent skills automatically through a self-test mechanism. The recording is scaffolded into a runtime skill that emits a SkillResult, proving the workflow functions as captured.