Claude Code Plugins

Access Twitter/X data and functionality through OpenClaw skills for social media analysis and posting.

Scrape, search, crawl, and map the web with a single command.

Per-file context-cost leaderboard — attributes every tool result's tokens to the files it loaded, so you know which files cost you the most.

Skills and agents for working with Ark - testing, setup, analysis, and research

Social media automation CLI for scheduling posts, managing integrations, uploading media, and tracking analytics across 28+ platforms including X, LinkedIn, Reddit, YouTube, TikTok, Instagram, and more

Bundle of Oxylabs skills: residential/mobile/datacenter/ISP proxies, Web Scraper API, Web Unblocker, headless browsers, and YouTube video data extraction.

Convert documents and files to Markdown using markitdown. Use when converting PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls), HTML, CSV, JSON, XML, images (with EXIF/OCR), audio (with transcription), ZIP archives, YouTube URLs, or EPubs to Markdown format for LLM processing or text analysis.

Use this skill for web search, extraction, mapping, crawling, and research via Tavily’s REST API when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly format is beneficial.

Read and write to Upstash Redis-compatible key-value store via REST API. Use when there is a need to save or retrieve key-value data, use Redis features (caching, counters, lists, sets, hashes, sorted sets, etc.) for the current interaction, or when the user explicitly asks to use Upstash or Redis.

Scientific research automation with Python REPL, Jupyter notebooks, and multi-agent research workflows. Includes 6 agents, 2 commands, 10 tools, and 3 skills for data science and machine learning research.

Agent skills for Qdrant vector search

Modern R development skills for tidyverse, rlang, Bayesian analysis, performance, and more

SEO-краулер сайтов: инвентаризация, on-page аудит, перелинковка, навигационный аудит, анализ конкурентов

Анализ генетических данных из VCF файла

Веб-скрапинг через Scrape.do с обходом защит и JavaScript рендерингом

Парсинг публичных Telegram-каналов: посты, метрики, дайджесты, конкурентный анализ через t.me/s/

X/Twitter research via xAI Grok API: дайджесты, анализ тредов, трендовые темы, поиск

Аналитика Yandex Metrika: трафик, конверсии, UTM, поисковые системы

Парсинг выдачи Яндекса через Yandex Cloud Search API v2 (sync + async)

Yandex Webmaster API: управление сайтами, индексация, поисковые запросы, переобход

Анализ поискового спроса через Yandex Wordstat API

Scrape, search, crawl, and map the web with a single command.

Audio cross-correlation alignment for N recordings of the same event. Outputs `.sync.json` sidecars per file — never re-encodes the originals.

Grow X followers via numbered, A/B-testable growth experiments — each with a hypothesis, target metric, rollback state, and verdict. North-star = new-follower ÷ profile-visit conversion.

OpenTrace knowledge graph — search, traverse, and analyze indexed codebases

Outcome-focused Firecrawl workflow skills for research, SEO audits, QA, knowledge bases, lead lists, dashboard reporting, shopping, and design-system extraction.

Use when the user needs academic paper retrieval — searching scientific literature by author/year/journal, finding paper chunks for RAG-style citations, or expanding original text around a known paper offset. Provides six Sciverse tools (search_papers, semantic_search, list_catalog, list_paper_relations, read_content, get_resource) via the sciverse-mcp-server MCP server.

Survey existing contracts and policy documents

Audit AI spend — per-model cost breakdown, top consumers, waste identification, optimization levers.

Map AI cost topology — billing attribution, team-level spend, forecast vs actuals, alert gaps.

Legal Researcher — case law synthesis, statute analysis, jurisdiction comparison

Identify open legal questions and research gaps

Deep clause-by-clause analysis with risk scores

Scan existing contracts for risk patterns

Evaluate model performance — check for accuracy drops, data drift, and error patterns. Use when asked about "model accuracy dropped", "evaluate the model", "check for drift", or "model performance".

Build an ML pipeline — from data to trained model to serving endpoint. Use when asked to "build ML model", "train a model", "prediction pipeline", "classification", or "regression".

ML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML assessment".

Competitive analysis ending in a clear positioning call — where to play, how to win. Use when asked to "analyze competitors", "competitive landscape", "how do we compare to X", "competitive positioning", "where should we play", "find our white space", or "who else does this".

Audit current model deployment topology — serving config, latency profile, version inventory.

Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report. Use when asked to "synthesize this feedback", "analyze support tickets", "what are users complaining about", "NPS analysis", "churn feedback synthesis", or "what's the feedback telling us".

Run a user interview — produce an interview guide and synthesize the output into an actionable insight report. Use when asked to "run a user interview", "synthesize these interview notes", "what do users actually want", "build a persona from this feedback", "find the JTBD in these transcripts", or "analyze this interview data".