skf-export-skill

Package agentskills.io-compliant AI skills and inject usage context into IDE configuration files.

Updated May 5, 2026
One-click install
npx skills add https://github.com/devalexanderdaza/bmad-any --skill skf-export-skill-devalexanderdaza
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skf-export-skill
Source: https://github.com/devalexanderdaza/bmad-any/tree/main/.cursor/skills/skf-export-skill
Command: npx skills add https://github.com/devalexanderdaza/bmad-any --skill skf-export-skill-devalexanderdaza

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

Manually packaging AI skills and updating context files across multiple AI coding IDEs is time-consuming and error-prone. This Skill eliminates that manual work by automating the entire export, packaging, and context injection workflow for agentskills.io-compliant skills.

Core Features & Use Cases

  • Automated Skill Packaging: Validates skill structure and generates agentskills.io-compliant distribution packages with all required metadata and artifacts.
  • Cross-IDE Context Injection: Auto-updates managed sections in CLAUDE.md, .cursorrules, and AGENTS.md to inject skill usage context for passive loading in supported AI coding tools.
  • Use Case: If you have built a custom skill for your team's internal coding workflows, use this Skill to package it, inject its context into all team members' IDE config files, and prepare it for distribution to the agentskills.io registry if desired.

Quick Start

Use the skf-export-skill skill to package your completed custom skill and automatically inject its usage context into your project's IDE configuration files for all supported AI coding tools.

Frequently Asked Questions about skf-export-skill

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

FAQPage Schema
How do I package AI skills for distribution across multiple IDEs?

Packaging AI skills for multiple IDEs involves validating skill structure and generating agentskills.io-compliant distribution packages with required metadata. This Skill automates that packaging while injecting usage context into platform-specific configuration files like CLAUDE.md, .cursorrules, and AGENTS.md.

Can I inject context into .cursorrules and CLAUDE.md automatically?

Yes, you can automatically inject context into .cursorrules and CLAUDE.md. The Skill auto-updates managed sections in these configuration files to provide passive loading of skill usage context across Cursor, Claude Code, and other compatible AI coding platforms.

What's the best way to distribute custom skills to an AI coding team?

The best way to distribute custom skills is to package them into agentskills.io-compliant formats and inject context into team IDE configuration files. This Skill automates package validation, context snippet generation, and export manifest tracking for end-to-end distribution workflows.

Does this skill packaging workflow support GitHub Copilot and OpenCode?

Yes, this skill packaging workflow supports GitHub Copilot and OpenCode. It handles context injection and distribution package generation across multiple AI coding platforms, including Claude Code, Cursor, GitHub Copilot, and OpenCode.

Why do I need to update managed sections in IDE configuration files?

Updating managed sections in IDE configuration files is needed to passively load skill usage context into supported AI coding tools. This ensures the AI agent understands the custom skill's capabilities without requiring manual context entry during coding sessions.

How do I validate skill structure before exporting to the agentskills.io registry?

To validate skill structure before exporting to the agentskills.io registry, the Skill performs automated package validation during the export workflow. It checks for required metadata and artifacts, ensuring the generated distribution package is fully compliant.