semantic-search-setup-model-selection

Sub-skill of semantic-search-setup: Model Selection.

5 stars

Best use case

semantic-search-setup-model-selection is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of semantic-search-setup: Model Selection.

Teams using semantic-search-setup-model-selection should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/model-selection/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/data/documents/semantic-search-setup/model-selection/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/model-selection/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How semantic-search-setup-model-selection Compares

Feature / Agentsemantic-search-setup-model-selectionStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of semantic-search-setup: Model Selection.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Model Selection

## Model Selection


| Model | Dimensions | Speed | Quality | Use Case |
|-------|------------|-------|---------|----------|
| `all-MiniLM-L6-v2` | 384 | Fast | Good | General purpose |
| `all-mpnet-base-v2` | 768 | Medium | Better | Higher accuracy |
| `bge-small-en-v1.5` | 384 | Fast | Good | Multilingual |
| `text-embedding-3-small` | 1536 | API | Excellent | Production (OpenAI) |

**Recommended:** `all-MiniLM-L6-v2` for local CPU processing.

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