9Router Embeddings

9Router Embeddings is an AI Engineering skill for Claude Code, published by decolua in 9router.

25.4K stars4.5K forkson decolua/9routerAdded 2026/08/14Repository updated 2026/08/05

ai-agentsai-gatewayanthropicchatgptclaudeclaude-codeclinecodexcopilotcursordeepseekfree-aigeminigemini-clillmllm-gatewayopenaiopenai-proxyqwentoken-saver

Install in seconds

Install 9Router Embeddings

Copy 9Router Embeddings into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/decolua/9router/tree/master/skills/9router-embeddings ~/.claude/skills/9router-embeddings

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/decolua/9router.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/9router-embeddings/SKILL.md in decolua/9router
Installs to: ~/.claude/skills/9router-embeddings
Collection: One of 9 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What 9Router Embeddings does

9Router Embeddings generates vector embeddings via the 9Router /v1/embeddings endpoint using OpenAI, Gemini, Mistral, Voyage, Nvidia, or GitHub embedding models. Use it for RAG, semantic search, similarity, or embedding text.

9Router Embeddings is cataloged under AI Engineering on DirSkills. 9Router Embeddings comes from a repository tagged ai-agents, ai-gateway, anthropic, chatgpt and claude.

Documentation

README

Excerpt

9Router — Embeddings

Requires NINEROUTER_URL (and NINEROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/decolua/9router/refs/heads/master/skills/9router/SKILL.md for setup.

Discover

curl $NINEROUTER_URL/v1/models/embedding | jq '.data[].id'
# Per-model dimensions
curl "$NINEROUTER_URL/v1/models/info?id=openai/text-embedding-3-small"

Endpoint

POST $NINEROUTER_URL/v1/embeddings

Field	Required	Notes
`model`	yes	from `/v1/models/embedding`
`input`	yes	string OR array of strings
`encoding_format`	no	`float` (default) / `base64`
`dimensions`	no	OpenAI v3 only

Examples

This is the opening of the README. Read the full README on GitHub.

Frequently asked about 9Router Embeddings

What else does decolua publish alongside 9Router Embeddings?
9Router Embeddings is one of 9 skills that DirSkills catalogs from decolua/9router, the repository it ships in. Its siblings there include 9Router, 9Router Chat and 9Router Image. Each one is a separate skill with its own page in this directory, installs the same way 9Router Embeddings does, and is maintained by decolua in that same repository. The rest of the collection is listed on the decolua/9router page.
How does 9Router Embeddings compare to other AI Engineering skills?
9Router Embeddings ranks #230 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of 9Router Embeddings against them. Open each page to compare what they document and how they install.