embedding-strategies
85 / 100 · Low risk
Fine to try.
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
What this skill can do
Can call paid AI services billed to you
Sends data to these websites: api.openai.com
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'embedding-strategies' ] || [ -L ~/.agents/skills/'embedding-strategies' ]; then echo 'A skill folder named embedding-strategies already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/wshobson/agents' "$d" && git -C "$d" checkout --quiet '9c61ab243def98f72da12abd41cfcf5bcd91af9d' -- 'plugins/llm-application-dev/skills/embedding-strategies' && mkdir -p ~/.agents/skills && cp -R "$d"/'plugins/llm-application-dev/skills/embedding-strategies' ~/.agents/skills/'embedding-strategies' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'embedding-strategies' ~/.claude/skills/'embedding-strategies' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/wshobson/agents/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-11 | 9c61ab2 | 85 |
| 2026-11-08 | 4bde316 | 85 |
| 2026-11-07 | 4bde316 | 65 |