Results for “search”

Vector-powered CLI for semantic file search with a Claude/Codex skill

Search GIF providers with CLI/TUI, download results, and extract stills/sheets.

Vector-powered CLI for semantic file search with a Claude/Codex skill

Vector-powered CLI for semantic file search with a Claude/Codex skill

Manages vector embeddings with Pinecone for semantic search, recommendation, and RAG pipelines.

Search GIF providers with CLI/TUI, download results, and extract stills/sheets.

Vector-powered CLI for semantic file search with a Claude/Codex skill

Search GIF providers with CLI/TUI, download results, and extract stills/sheets.

Vector-powered CLI for semantic file search with a Claude/Codex skill

Web search, content extraction, crawling, and research capabilities using Tavily API

Vector-powered CLI for semantic file search with a Claude/Codex skill

Vector-powered CLI for semantic file search with a Claude/Codex skill

Use this skill whenever the user wants to search for jobs in any location or market, find job listings, or look up a specific job posting — in any country, city, or remotely. Invoke for open positions, vacancies, and hiring across any sector or role (software, data, design, marketing, finance, legal, operations, etc.). The location is always supplied explicitly by the user. Trigger phrases: find a job, job search, search for jobs, job openings, vacancies, hiring, positions open, remote jobs, "are there any X jobs in <place>", look up this job posting.

Forces web searches and reading of official docs before implementing, integrating, or debugging third-party APIs, libraries, and services to ensure accuracy and avoid guesswork.

Create and manage persistent AI agents with threads, messages, runs, and tools using the Azure AI Agents SDK for .NET.

Searches a local cache of Windows WinMD metadata to find the right Windows API for any capability and retrieve full type details including methods, properties, events, and enumeration values.

Guides users through an interactive tour of the context-matic MCP server, explaining its purpose and demonstrating all available APIs with live tool calls.

Search the web, extract URL content, enrich datasets with web-sourced fields, and run deep research reports, prioritizing academic and scientific sources.

Research companies, industries, or competitor sets using web search and seven analytical lenses to produce structured intelligence for downstream product management tasks.

Search scientific papers via the BGPT MCP server and retrieve structured experimental data — methods, results, conclusions, quality scores, and 25+ metadata fields per paper.

Discovers and researches companies matching an ideal customer profile, using Browserbase Search API and a Plan→Research→Synthesize pattern to produce scored reports and CSV exports.

Retrieves and answers questions from a local knowledge base directory by navigating hierarchical index files, then progressively searching Markdown, PDF, and Excel files using grep, Read, pdfplumber, and pandas.

Manage Attio CRM operations through natural language: search records, query contacts and companies with advanced filters, manage notes, list attributes, and navigate relationship data via the Composio MCP integration.

Run 250+ AI apps from the command line: generate images and videos, call LLMs, search the web, create 3D models, and automate Twitter posts.

Analyzes recent market-moving news events and their impact on US equity markets and commodities, producing impact-ranked reports using web search and fetch tools.

Automates job search and applications via the JobGPT MCP server, including job matching, auto-apply, tailored resume generation, application tracking, salary insights, and recruiter outreach.

Optimizes content for AI search systems like AI Overviews, ChatGPT, and Perplexity by analyzing citability, structure, authority, and technical accessibility, and producing a GEO analysis report.

Runs a broad SEO audit across technical SEO, on-page SEO, schema, sitemaps, content quality, AI search readiness, and GEO, orchestrating specialized sub-skills and subagents.

Optimize content for AI Overviews, ChatGPT, Perplexity, and other AI search systems. Use when improving GEO, AI citations, llms.txt readiness, crawler accessibility, and passage-level citability.

Research a topic and grow your knowledge graph. Uses Exa deep researcher, web search, or basic search to investigate topics, files results with full provenance, and chains to processing pipeline. Triggers on "/learn", "/learn [topic]", "research this", "find out about".

Multi-source research synthesizer. Takes a question, runs 3-5 parallel web searches with varied phrasings, deduplicates, and returns a cited, concise answer. For Hebrew questions, searches in both Hebrew and English. Output is always under ~400 words.

Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.

Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.

Paper Retrieval Agent - Multi-database paper fetching from Semantic Scholar, OpenAlex, arXiv Handles rate limiting, deduplication, and PDF URL extraction Use when: fetching papers, searching databases, paper retrieval Triggers: fetch papers, retrieve papers, database search, Semantic Scholar, OpenAlex, arXiv

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Vector-powered CLI for semantic file search with a Claude/Codex skill