Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate text embeddings via AIMLAPI. Use for semantic search, clustering, or high-dimensional text representations with text-embedding-3-large and other mod...
Generate text embeddings via AIMLAPI. Use for semantic search, clustering, or high-dimensional text representations with text-embedding-3-large and other mod...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Converts text into high-dimensional numerical representations (vectors) using AIMLAPI's embedding models like text-embedding-3-large.
export AIMLAPI_API_KEY="sk-aimlapi-..." python3 {baseDir}/scripts/gen_embeddings.py --input "Laura is a DJ."
Use scripts/gen_embeddings.py to get vector representations of text. python3 {baseDir}/scripts/gen_embeddings.py \ --input "Knowledge is power." \ --model text-embedding-3-large \ --dimensions 1024 \ --out-dir ./out/embeddings
references/endpoints.md: API schema and parameter details.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.