Agent Skills: vector-search
Semantic search using vector embeddings and similarity metrics. Apply when implementing search with embeddings (OpenAI, Sentence Transformers) or distance-based ranking. Covers cosine similarity, Euclidean distance, dot product, and threshold selection.
ID: vineethsoma/agent-packages/vector-search
Install this agent skill to your local
Skill Files
The files that make up vector-search.
Loading file tree…
More agent skills
- single-cell-rna-qcPerforms quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
- verify-email-snapshotsSnapshot test email templates using Verify to catch regressions. Validates rendered HTML output matches approved baseline. Works with MJML templates and any email renderer.
- secret-serializationFinds secrets, tokens, passwords, and API keys that can leak through generated serialization: Python dataclass repr and asdict, attrs, pydantic model_dump, NamedTuple, JavaScript JSON.stringify and util.inspect, structured logs, tracing spans, and error reports. Use when asked to "check for secret serialization", "credential in repr", "repr=False audit", "secret in spans", "token in logs", or when a change adds a credential field to a dataclass, model, or config object, or adds code that stringifies whole objects or every kwarg into telemetry.
- prose-reviewCheck that added comments, docstrings, and changelog entries document the code rather than narrate the change that produced it
- baoyu-wechat-summarySummarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.
- devops-troubleshooterExpert DevOps troubleshooter specializing in rapid incident