agentleFS
Sign inStart free
baofeng-techbaofeng-tech/agent-skills-so/smart-search/SKILL.md

smart-search

Skill0 starsChanged 7 months agoMITView on GitHub

Intelligent hybrid search combining web and academic sources via AIsa Smart Search endpoint. Best when you need both web and scholarly results. Use when: the user needs web search, research, source discovery, or content extraction.

  • Reads credentials

10 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is 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.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Run the search client with the smart subcommand:

    line 26
  2. Distinctive:

    Use this skill when the user's query spans both general knowledge and academic research.

    line 51

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

AIsa Smart Search

Intelligent hybrid search that combines web and academic sources using the AIsa Smart Search endpoint. Automatically blends general web results with scholarly articles for comprehensive coverage.

Setup

This skill requires the AISA_API_KEY environment variable. When installed as a Claude plugin, the key is configured via the environment variables.

Usage

Run the search client with the smart subcommand:

python3 scripts/search_client.py smart --query "<search query>" --count <max_results>

Arguments

ArgumentRequiredDefaultDescription
--query / -qYes—Search query
--count / -cNo10Maximum number of results (1–100)

Example

python3 scripts/search_client.py smart --query "impact of large language models on software engineering" --count 10

Output

The script prints a mixed set of results from both web and academic sources, including titles, URLs, and content snippets.

When to Use

Use this skill when the user's query spans both general knowledge and academic research. For example, questions about emerging technologies, scientific topics with practical applications, or any query where both web articles and papers would be valuable.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.

Check your setup, free