skf-forger

Transform code repositories into verified AI skills with provenance.

91|9|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/armelhbobdad/bmad-module-skill-forge --skill skf-forger
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skf-forger
Source: https://github.com/armelhbobdad/bmad-module-skill-forge/tree/main/src/skf-forger
Command: npx skills add https://github.com/armelhbobdad/bmad-module-skill-forge --skill skf-forger

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates the end-to-end lifecycle of turning code, docs, and developer discourse into verified AI instruction skills with provenance.

Core Features & Use Cases

  • Skill lifecycle management: source analysis, briefing, compilation, testing, and packaging for distribution.
  • Provenance and integrity: every claim is traceable to a specific source location, line number, and commit.
  • Use Case: transform a complex repository into a ready-to-export set of AI skills for deployment across teams and environments.

Quick Start

Provide a GitHub repository URL to auto-scope and forge a verified skill with Ferris.

Frequently Asked Questions about skf-forger

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

FAQPage Schema
How do I turn a code repository into verified AI skills with provenance?

To forge verified AI skills with provenance, provide a GitHub repository URL for AST-first parsing, source analysis, briefing, testing, and packaging for distribution across environments.

What is AST-first parsing for code analysis and when is it needed?

AST-first parsing for code analysis extracts structural logic from repositories to generate AI instruction skills. It is needed when transforming complex codebases into verified, deployment-ready skills.

Does skill provenance track source location and commit data from the repository?

Yes, skill provenance tracks source location, line number, and commit data, ensuring every claim within the generated AI instruction skills is rigorously traceable to its original repository state.

Can I use a progressive forge tier to quickly test repository onboarding skills?

Yes, you can use progressive forge tiers from Quick to Forge+ to test repository onboarding skills, allowing auto-scoping and verification at different depths before final packaging.

What is the best way to package AI skills for distribution across multiple environments?

The best way to package AI skills for distribution is using end-to-end lifecycle management, which compiles, tests, and verifies instructions with provenance before exporting them for cross-environment deployment.