skillforge

Analyze input to recommend, improve, or create skills with SKILL.md outputs.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/rawhit-r/ai-files --skill skillforge-rawhit-r
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skillforge
Source: https://github.com/rawhit-r/ai-files/tree/main/.gemini/skillforge
Command: npx skills add https://github.com/rawhit-r/ai-files --skill skillforge-rawhit-r

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

SkillForge analyzes ANY input to determine whether an existing skill suffices, needs improvement, or should be created from scratch, preventing duplicates and accelerating capability growth across ecosystems.

Core Features & Use Cases

  • Recommends existing skills when a good match exists, or suggests improvements to fill gaps
  • Creates new skills when no adequate match exists, with Phase 1-4 governance
  • Orchestrates multi-skill chains via a synthesis panel to ensure quality and timelessness
  • Supports automation through optional scripts/, references/, and assets/ for verification and deployment
  • Applies a timelessness and extension-points lens to ensure ecosystem evolution

Quick Start

Submit a user input to SkillForge to triage and route to the appropriate skill flow.

Frequently Asked Questions about skillforge

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

FAQPage Schema
How do I analyze whether to reuse, improve, or generate a new skill package?

To analyze whether to reuse, improve, or generate a skill package, submit your input to a triage phase that evaluates existing matches against your requirements before routing to deep analysis, specification, and generation.

What is the best way to prevent duplicate skills and accelerate ecosystem evolution?

Preventing duplicate skills and accelerating ecosystem evolution requires routing inputs through a multi-agent synthesis panel that applies a timelessness lens, ensuring gaps are filled by improving existing skills rather than creating redundant ones.

How do I create a new skill from scratch using a multi-agent orchestrator?

Creating a new skill from scratch involves a phased governance flow: Phase 1 deep analysis, Phase 2 specification, Phase 3 generation, and Phase 4 synthesis, outputting a validated package with YAML frontmatter, SKILL.md, and SKILL_SPEC.md.

Can I use scripts and references to automate skill verification and deployment?

Yes, you can use scripts, references, and assets directories to automate skill verification and deployment, providing optional support infrastructure for the generated skill package outputs.

Does this skill orchestration workflow support multi-skill chains and extension points?

Yes, the skill orchestration workflow supports multi-skill chains via a synthesis panel that evaluates extension points, ensuring quality and timelessness across the ecosystem as it evolves.

When should I not use an automated skill generation and triage system?

You should not use an automated skill generation and triage system for simple, single-purpose tasks that require no governance, or when an existing skill completely suffices without needing deep analysis or specification phases.