Ingest Resource
Standardize your knowledge base by automatically routing, tagging, and summarizing links, PDFs, and notes.
$9
· or 45 creditsSecure checkout via Stripe
Works with the AI tools you already use
About this skill
The problem
Information fragments from URLs, YouTube videos, and PDFs often sit unorganized in raw notes or get lost in browser tabs. Converting these into structured knowledge requires manual folder management, date-stamping, and metadata tagging that most developers skip.
What it does
- Automates resource routing into either stable
knowledge/or task-specificprojects/directories. - Generates standardized filenames using a Python-based slugging system with dates and kebab-case formatting.
- Extracts and synthesizes content into a three-layer Progressive Summary for fast retrieval.
- Automatically creates missing directory structures and inserts
[[wikilinks]]for cross-referencing. - Fetches full web content from URLs and handles transcripts or PDF summaries.
Frameworks & tools
Python 3 for slug generation and file renaming. Compatible with file-based knowledge bases like Obsidian, Logseq, or standard Markdown systems.
Why this beats prompting it yourself
This skill eliminates the friction of manual filing and consistency checks. It uses a dedicated Python script to ensure filenames never break system conventions and enforces a strict structural layout that makes your entire knowledge base programmatically searchable.
Use cases
- Processing research papers and technical articles into long-term mental models.
- Capturing YouTube transcripts for specific project deliverables or newsletter issues.
- Archiving raw meeting notes with automatic linking to project stakeholders.
- Converting paywalled or transient web content into stable Markdown archives.
Known limitations
Requires an environment capable of executing Python 3. Web fetching is subject to the agent's available tools and may be restricted by paywalls.
Details
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Security Scanned
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Creator
Scar Tissue Systems is one person's working AI-agent toolkit, sold as-is. I build small, focused skills for people who run real work through AI agents daily, capturing and filing what they find, keeping their skill systems honest over time, and catching the patterns that make AI-assisted writing read as machine-written. Every skill here started as something I built for my own workflow, used for months, broke in real ways, and fixed before I ever considered selling it. The name is the promise: nothing ships until something has actually gone wrong with it first. No filler, no theoretical best practices, every rule in every skill exists because something specific broke without it, and the changelogs say so.
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