Embeddings

Vector embeddings and similarity

Showing 745-768 of 1694 skills
rebyteai-template

langchain-retrieval

by rebyteai-template

Document Q&A with RAG using Supabase pgvector store.

CLI Tools 13 7mo ago
BankrBot

Bankr Dev - Polymarket

by BankrBot

This skill should be used when building prediction market integrations, implementing betting functionality, or querying Polymarket odds. Covers market search, odds checking, and position management.

Embeddings 79 6mo ago
BankrBot

Bankr Agent - Polymarket

by BankrBot

This skill should be used when the user asks about "Polymarket", "prediction markets", "betting odds", "place a bet", "check odds", "market predictions", "what are the odds", "bet on election", "sports betting", or any prediction market operation. Provides guidance on searching markets, placing bets, and managing positions.

Code Review 79 6mo ago
omer-metin

Algolia Search

by omer-metin

Embeddings 115 6mo ago
ancoleman

implementing-search-filter

by ancoleman

Implements search and filter interfaces for both frontend (React/TypeScript) and backend (Python) with debouncing, query management, and database integration. Use when adding search functionality, building filter UIs, implementing faceted search, or optimizing search performance.

Embeddings 388 7mo ago
ancoleman

ai-data-engineering

by ancoleman

Data pipelines, feature stores, and embedding generation for AI/ML systems. Use when building RAG pipelines, ML feature serving, or data transformations. Covers feature stores (Feast, Tecton), embedding pipelines, chunking strategies, orchestration (Dagster, Prefect, Airflow), dbt transformations, data versioning (LakeFS), and experiment tracking (MLflow, W&B).

Agents 388 7mo ago
ancoleman

embedding-optimization

by ancoleman

Optimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning. Use when building semantic search, RAG pipelines, or document retrieval systems that require cost-effective, high-quality embeddings.

API Dev 388 7mo ago
ancoleman

evaluating-llms

by ancoleman

Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or comparing models for production deployment.

Embeddings 388 7mo ago
blessonism

github-explorer

by blessonism

Deep-dive analysis of GitHub projects. Use when the user mentions a GitHub repo/project name and wants to understand it — triggered by phrases like "帮我看看这个项目", "了解一下 XXX", "这个项目怎么样", "分析一下 repo", or any request to explore/evaluate a GitHub project. Covers architecture, community health, competitive landscape, and cross-platform knowledge sources.

Embeddings 78 5mo ago
enuno

cloudflare-ai-search

by enuno

Cloudflare AI Search for semantic search and vector embeddings in Workers

Embeddings 13 6mo ago
ronnycoding

secure-web-search

by ronnycoding

Guide for performing secure web searches with privacy protection, source verification, and information validation. Use when the user wants to search the web securely, verify sources, fact-check information, or mentions secure search, privacy, source validation, or web research.

Embeddings 20 8mo ago
markus41

azure-ai-services

by markus41

Deep expertise in Azure AI workloads — provisioning and managing Azure OpenAI Service deployments, Azure AI Search indexes and skillsets, Azure AI Studio/Foundry projects, Cognitive Services endpoints, content filtering policies, quota management, and responsible AI governance via ARM REST API and service-specific data planes.

API Dev 10 4mo ago
CaliCastle

seedhub

by CaliCastle

"搜索 SeedHub (seedhub.cc) 影视资源,提取夸克网盘、百度网盘、阿里云盘、UC网盘、磁力链接等下载地址。触发词:seedhub、影视资源、找片、找电影、找剧、下载链接、夸克网盘。"

Embeddings 70 5mo ago
joinmassive

clawpod

by joinmassive

Read any website or search Google, even when sites block bots or are geo-restricted. Handles CAPTCHAs, JavaScript rendering, and anti-bot protection server-side via residential proxies. Returns HTML or structured JSON.

Processing 70 5mo ago
upstash

upstash/vector TypeScript SDK Skil

by upstash

Provides quick-start guidance and a unified entry point for Vector features, SDK usage, and integrations. Use when users ask how to work with Vector, its TS SDK, features, or supported frameworks.

Database 70 5mo ago
rawveg

github-issue-fetcher

by rawveg

This skill should be used when users need to fetch GitHub issues from the current repository, including getting the next issue to work on, retrieving specific issue fields (body, number, title, labels, etc.), or querying issues with custom sorting and filtering. Triggers on requests like "get the next GitHub issue", "what's the next issue number", "show me the issue body", or "find issues with label X".

Embeddings 39 8mo ago
goldengrape

memory

by goldengrape

Two-layer memory system with grep-based recall.

Embeddings 37 5mo ago
goldengrape

clawhub

by goldengrape

Search and install agent skills from ClawHub, the public skill registry.

Embeddings 37 5mo ago
martinholovsky

Design Systems Skill

by martinholovsky

Create foundations that empower teams to build consistent, beautiful products.

Embeddings 45 8mo ago
RoleModel

bem-structure

by RoleModel

Expert guidance for writing, refactoring, and structuring CSS using BEM (Block Element Modifier) methodology. Provides proper CSS class naming conventions, component structure, and Optics design system integration for maintainable, scalable stylesheets.

Design 6 5mo ago
futuregerald

code-search

by futuregerald

Fast code search agent for finding patterns, understanding features, and exploring the codebase. Use when searching for code, finding usages, or understanding how something works.

Embeddings 6 5mo ago
iret77

palaia

by iret77

Local, crash-safe persistent memory for OpenClaw agents. Replaces built-in memory-core with semantic search, projects, and scope-based access control.

Embeddings 18 4mo ago
joneqian

UI/UX Pro Max - Design Intelligence

by joneqian

Claude Skill 合集

Design 26 5mo ago
Tyler-R-Kendrick

adl

by Tyler-R-Kendrick

Use when defining AI agents declaratively with Agent Definition Language (ADL). Covers agent identity, LLM configuration, tools, permissions, RAG inputs, and governance metadata. USE FOR: declarative agent blueprints, agent identity and permissions, LLM configuration, governance metadata DO NOT USE FOR: agent runtime orchestration (use cagent), tool integration (use mcp), agent communication (use a2a)

Agents 9 5mo ago