blog-search
Skill1 starsChanged 5 days agoMITView on GitHub
Retrieve and search blog posts from RedlineSoft. Use when the user asks for blog content, search, or information from blog.redlinesoft.net.
In this repository18 other files it gives its agents.
- arxiv-searchSkill
- bisac-categorizerSkill
- blockframe-videoSkill
- book-mockupSkill
- book-promo-writerSkill
- book-sales-apiSkill
- calculatorSkill
- claude-code-docsSkill
- create-blog-postSkill
- create-slideSkill
- find-skillsSkill
- mermaid-figuresSkill
- mintlifySkill
- play-books-pricingSkill
- quick-chartSkill
- roll-diceSkill
- technical-book-writerSkill
- uikitsSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 22
If a post is selected, fetch the full content from its URL.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Search Blog
Overview
This skill allows you to search and retrieve blog content from RedlineSoft using the machine-readable llms.txt index.
Workflow
1. Ingestion
Fetch the raw text from: https://blog.redlinesoft.net/llms.txt
2. Search
Parse the fetched text for keywords. The format is [Title](URL).
Example regex for parsing: ^\[(.*)\]\((.*)\)$
3. Retrieval
If a post is selected, fetch the full content from its URL.
Examples
- Search: "Find posts about AI Agents on RedlineSoft blog."
- Latest: "Show me the 5 most recent blog posts."
- Content: "Read the post about PydanticAI and summarize it."
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

