skillpack-harvest

Name: skillpack-harvest
Availability: InStock
Author: sigmacodeat

Copy mature skills from host repositories into shared bundles with validation checkpoints.

Updated Jun 20, 2026

Search Tags:#repository #skill #harvesting #genericization #bundle management #privacy lint

Ready to run

npx skills add https://github.com/Sigmacodeat/subsumio-web --skill skillpack-harvest-sigmacodeat

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skillpack-harvest
Source: https://github.com/Sigmacodeat/subsumio-web/tree/main/server/skills/skillpack-harvest
Command: npx skills add https://github.com/Sigmacodeat/subsumio-web --skill skillpack-harvest-sigmacodeat

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of moving mature host skills into a shared skill bundle while preserving quality, privacy, and general usability through a guided editorial workflow.

Core Features & Use Cases

Skill Promotion Workflow: Guides the process of copying proven skills from host repositories into a central bundle with validation checkpoints.
Genericization Review: Helps remove private names, internal conventions, and fork-specific details before upstream sharing.
Quality and Safety Checks: Coordinates dry runs, privacy linting, conformance tests, and review steps before a skill is accepted.

Quick Start

Use the skillpack-harvest skill to prepare this existing host skill for inclusion in the shared skill bundle.

Frequently Asked Questions about skillpack-harvest

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

FAQPage Schema

How do I promote mature skills from host repositories into a shared bundle?▼

Genericization review is the process of removing private names, internal conventions, and fork-specific details from skills before upstream sharing. This step ensures shared bundles contain only generalizable, reusable content without proprietary leakage.

What is genericization review for skill bundle publication?▼

How do I prevent private content leakage when publishing skills upstream?▼

Quality and safety checks for skill harvesting involve coordinating dry runs, privacy linting, conformance tests, and editorial review steps. These validation checkpoints confirm metadata conformance and prevent private content leakage before a skill is accepted into the bundle.

What quality checks are required before accepting a skill into a bundle?▼

Can I use skill harvesting workflows for repository bundle management without dependencies?▼

Yes, you can use this skill harvesting workflow for repository bundle management without external dependencies. It operates independently to copy skill files, inspect metadata, apply genericization reviews, and execute conformance validation before release.