search

3 stars
76
C

This skill should be used when the user needs to search for information, find files,look up content online, or retrieve data without providing input files.Trigger phrases include:- "search for", "find", "look up", "research"- "search the web", "search online", "fetch from URL"- "search files", "scan codebase", "find in project", "grep for"- "get news from", "read hacker news", "check what's trending"Supports multiple search modes:- local: Search local filesystem using Glob, Grep, Read, Bash- ...

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Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install memorysaver/looplia-core/search
skilz install memorysaver/looplia-core/search --agent opencode
skilz install memorysaver/looplia-core/search --agent codex
skilz install memorysaver/looplia-core/search --agent gemini

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/memorysaver/looplia-core
2. Copy the agent skill directory:
cp -r looplia-core/plugins/looplia-core/skills/search ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

Related Agentic Skills

Agentic Skill Details

Repository
looplia-core
Stars
3
Type
Technical
Meta-Domain
cloud infrastructure
Primary Domain
linux
Market Score
76

Agent Skill Grade

C
Score: 76/100 Click to see breakdown

Score Breakdown

Spec Compliance
13/15
PDA Architecture
18/30
Ease of Use
20/25
Writing Style
7/10
Utility
14/20
Modifiers: +4

Areas to Improve

  • Missing TOC for 175-line file
  • Speculative Future Providers section
  • Redundant input-less explanation

Recommendations

  • Address 1 high-severity issues first
  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-05

Developer Feedback

I took a look at your search skill and wanted to share some thoughts.

Links:

The TL;DR

You're at 76/100, solidly in C territory. This is based on Anthropic's best practices for Claude skills. Your strongest area is Spec Compliance (13/15) — the frontmatter and naming are tight. Weakest area is Progressive Disclosure Architecture (18/30) — you've got a 175-line file with no table of contents and some content that could be layered better.

What's Working Well

  • Spec compliance is locked in — Valid YAML, correct hyphen-case naming, solid third-person description with specific trigger phrases covering local and web search scenarios.
  • Clear 3-step workflow — The mission-based input model is straightforward, and your output schema is complete and usable.
  • Strong trigger phrases — You nailed discoverability with phrases like "search locally", "web search", "find information" — Claude will know exactly when to call this.
  • Concrete examples — Three mission examples help people understand how to use it, which bumped up the utility score.

The Big One: Missing Error Handling Guidance

This is your biggest miss. Your "Important Rules" section covers the happy path only — you've got nothing about handling empty results, rate limits, or failed searches. That's a high-severity gap because Claude needs to know how to handle failures gracefully.

Fix: Add an Error Handling section with specific schemas and retry logic. Something like:

## Error Handling

**Empty Results:** Return schema with `results: []` and `error: "No results found for [mission]"`
**Rate Limiting:** Retry logic for external providers (jina.ai, firecrawl)
**Malformed Mission:** Va...

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