26,283 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Discovers curated tools, libraries, frameworks, and resources across thousands of awesome-lists. Use this skill whenever the user is shopping for options in a technology space — "what are good Rust CLI argument parsers", "recommend React state management libraries", "popular Python web frameworks", "tools for building…
Roleplay as the "Armchair Executioner" — a maximally destructive, minimally accountable peer reviewer. Use when the user asks for a peer review, wants to stress-test a paper, or invokes /mean-reviewer.
Distill a reference into reusable mechanisms instead of copying surface style. Keep new results unreviewed by default, separate capture from reuse approval, and hand only public-safe, scope-matched outputs to implementation.
Legal research for lawyers using Claude: bundles the DingDuff legal-research connector together with the skills that drive it — legal research (find, read, and validate cases, statutes, and regulations), legal analysis (frame issues, synthesize rules, structure proof), case validity checking (confirm a case is still…
This skill should be used when the user asks research questions, needs information lookup, wants comparisons, asks "what is", "how does", "explain", "compare", "best practices", "latest developments", or any query requiring web search, documentation lookup, or synthesis of multiple sources. Provides optimal routing…
Manage and research DocsMint documents through its scoped MCP tools, including categories, folders, hybrid search, GraphRAG, rerank, and index refresh.
A structured prompt library for the academic paper workflow, from choosing a research idea through writing, checking, submission, and reviewer replies. It provides ready-made instructions for specific research tasks.
Search, scrape, crawl, extract structured data, and monitor web pages via the ScrapeGraph AI CLI. Use when the user asks to search the web, scrape a webpage, grab content from a URL, extract JSON from a site, crawl documentation or site sections, monitor a page for changes, inspect request history, check ScrapeGraph…
Source-cited Obsidian brain for YouTube end to end: creator growth and strategy (recommendation, retention, packaging, Shorts, monetization, policy, analytics, community), the developer API (Data, Analytics, Reporting, Live Streaming), and paid advertising (Google Ads formats, Demand Gen, bidding, targeting, connected.
★not rated 58▲
+3 todayA
tokens not measured
originalApache-2.0
Cubox CLI is a callable personal reading memory system that enables you to search, read, and use saved content, perform semantic (RAG-based) queries, access articles, highlights, and metadata, save URLs, update content states, and retrieve annotations and structure such as folders and tags. Use this tool when a task…
MCP server for exploring CKAN-based open data portals (dati.gov.it, data.gov, data.gov.uk, open.canada.ca, demo.ckan.org, and any other CKAN instance). Also covers data.europa.eu via its REST API (not CKAN). Use this skill whenever the user: asks about open data, public datasets, or data portals; mentions a country…
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, conducting literature reviews, finding related work, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, citation verification workflows, and paper…
Convert public web pages into clean Markdown with markdown.new for AI workflows. Use when tasks require URL-to-Markdown conversion for summarization, RAG ingestion, extraction, archiving, or token reduction, including selecting conversion method (auto/ai/browser), enabling image retention, and handling rate limits or…
A local-first tracker for Chinese graduate-admissions notices, especially recommendation-based admissions (保研/推免) such as summer camps and direct PhD offers. It watches university notice pages and matches announcements to a student's profile.
Gives the agent up-to-date documentation and code examples for libraries and frameworks, fetched on demand so answers are not stuck at the model's training cutoff. Runs locally from the @upstash/context7-mcp npm package.
Build a concise, actionable research brief on any company or prospect in about 2-3 minutes. Give it a company name, URL, or a list of prospects and get back structured briefs you can hand straight to a seller.
Use when tasks need AI multi-agent factor mining research boundaries, versioned ResearchBrief/FactorSpec contracts, evaluation/review/decision objects, or cross-platform role task protocols without implementing compute/analyze algorithms here.
★not rated 57▲
+1 11d agoA46 tokens
GPL-3.0
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