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Embeddings
Vector embeddings and similarity
langchain-retrieval
by rebyteai-template
Document Q&A with RAG using Supabase pgvector store.
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.
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.
Algolia Search
by omer-metin
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.
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).
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.
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.
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.
cloudflare-ai-search
by enuno
Cloudflare AI Search for semantic search and vector embeddings in Workers
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.
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.
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。"
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.
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.
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".
memory
by goldengrape
Two-layer memory system with grep-based recall.
clawhub
by goldengrape
Search and install agent skills from ClawHub, the public skill registry.
Design Systems Skill
by martinholovsky
Create foundations that empower teams to build consistent, beautiful products.
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.
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.
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.
UI/UX Pro Max - Design Intelligence
by joneqian
Claude Skill 合集
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)