seed

Convert raw inputs into structured inbox items with provenance metadata.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/kinnerkarmanish/mak --skill seed-kinnerkarmanish
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seed
Source: https://github.com/kinnerkarmanish/mak/tree/main/library/skills/processing/seed
Command: npx skills add https://github.com/kinnerkarmanish/mak --skill seed-kinnerkarmanish

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Seed ingestion lays the foundation for all knowledge work by converting raw inputs into traceable, provenance-rich inbox items before they enter the processing pipeline.

Core Features & Use Cases

  • Create structured inbox items from URLs, local files, pasted text, or clipboard data with automatic metadata extraction (title, author, date, language).
  • Generate complete provenance records (source URI, acquisition time, method, and content hash) to ensure traceability and deduplication.
  • Support batch seeding and deduplication to avoid duplicate entries and keep the inbox clean for downstream workflows.

Quick Start

Seed inputs by providing a path, URL, or text to create a new inbox item with full provenance.

Frequently Asked Questions about seed

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

FAQPage Schema
How do I seed external URLs and local files into a processing pipeline?

To seed external sources, you convert raw inputs like URLs and local files into structured inbox items with provenance metadata, ensuring traceability before downstream processing. This handles input acquisition, format detection, and writes the item to an inbox directory.

What is provenance metadata and why do I need it for inbox items?

Provenance metadata records the source URI, acquisition time, method, and content hash for inbox items. You need it to ensure complete traceability of raw inputs and to support deduplication, keeping your processing pipeline clean and verifiable.

Can I batch process multiple text inputs and clipboard data at once?

Yes, you can batch process multiple inputs including pasted text and clipboard data across environments. Batch seeding creates structured inbox items with automatic metadata extraction while performing deduplication to avoid duplicate entries in your processing inbox.

How does deduplication work when seeding sources into the inbox?

Deduplication works by generating a content hash for each seeded item during provenance generation. This hash identifies duplicate entries from URLs, local files, or pasted text, preventing redundant inbox items and keeping downstream workflows clean.

What's the best way to extract title, author, and date from raw inputs?

The best way to extract title, author, and date is through automatic metadata extraction during the seeding process. When you seed sources into the inbox, the system detects formats and pulls this metadata automatically to create structured, traceable items.