Ingest Resource
Standardize your knowledge base by automatically routing, tagging, and summarizing links, PDFs, and notes.
$5.94
$6.99-15%Deal ends in 1d 22h left
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Works with the AI tools you already use
See it in action
You say
/ingest-resource https://example.com/blog/system-design-patterns add this to my knowledge system.
Your agent does
/ingest-resource — Complete
TYPE: article ROUTED TO: knowledge/frameworks/ FILE: 2023-10-27--system-design-patterns.md KEY CONCEPTS: scalability, design patterns, architecture PROGRESSIVE SUMMARY: [Layer 1: 4 highlights | Layer 2: done | Layer 3: 2 candidates] FOLDERS CREATED: none WIKILINKS ADDED: 3 ([[Distributed Systems]], [[Microservices]])
What you get
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.
Changelog
- v1.2LatestJul 19, 2026
No release notes.
- v1.2Jul 18, 2026
No release notes.
- v1.1Jul 18, 2026
No release notes.
- v1.1Jul 18, 2026
No release notes.
- v1.0Jul 17, 2026
Initial release
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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