26,336 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.
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Use when the user needs thorough investigation, market research, technical deep-dives, due diligence, or comprehensive analysis on any subject.
Use when creating a repository corpus, adding or converting source files into corpus evidence, answering or verifying a topic from an existing corpus, or linting or auditing corpus navigation.
AI-assisted research and trading workflow for Kalshi prediction markets. Includes commands for opportunity scanning, deep research, critical analysis, scoring, and position management.
★not rated 12 8mo agoA
tokens not measured
originalMIT
Use this agent when you need to parse, search, or analyze documents in various formats (PDF, DOCX, PPTX, etc.). Examples include: searching through research papers for specific concepts, extracting information from legal documents, finding relevant sections in technical manuals, analyzing large document collections…
Use when user asks YouTube video extraction, get, fetch, transcripts, subtitles, or captions. Writes video details and transcription into structured markdown file.
Discover potential rule topics by mining patterns across Shopify themes. Use when exploring what rules to write next, finding patterns in themes, or building a backlog of rule ideas. Complements research-shopify-rule and quick-rule by identifying topics rather than writing rules.
MCP server "clarifyprompt" as configured in LumabyteCo/clarifyprompt-mcp. Runs /path/to/clarifyprompt-mcp/dist/index.js with node. Needs 5 environment variables to run.
★not rated 12 2mo agoA
tokens not measured
originalApache-2.0
Research Solana/crypto startup opportunities using builder project history, crypto archives, investor theses, and market signals. Answers questions conversationally by default; runs the full 8-step deep research workflow on explicit opt-in ("vet this idea", "deep dive").
★not rated 12 3d agoASocket: passSnyk: warn60 tokens
A Model Context Protocol (MCP) server for accessing GEO (Gene Expression Omnibus) data through NCBI E-Utils API. Runs locally from the geo-mcp Python package.
★not rated 12 4mo agoA
tokens not measured
originalBSD-3-Clause
A tool FOR an AI (no API key, no LLM): search existing math over a 3.7M-doc index + airtight numeric/Lean verification + mathlib search (Loogle/LeanSearch) + OEIS/PSLQ identification + needs guarantees scaffolds, served over MCP. Runs locally from the mathlas-mcp Python package. Needs 2 environment variables to run.
★not rated 12 1mo agoA
tokens not measured
originalApache-2.0
Sits between Claude Code and your codebase and hands back a short file:line list instead of dumping source into the chat. It uses a real language server when it can (clangd / Roslyn / tsserver / pyright), tree-sitter when there's no toolchain, and a fuzzy search built from your repo's own naming when you don't know…
Move fast AND rigorously through the full AI/ML research loop: framing a testable hypothesis, reviewing the literature, reproducing a baseline, designing leak-free experiments, tracking runs, analyzing results honestly, and writing up. Use this whenever the user is doing machine-learning or AI research — reading or…
Fetch academic journal / blog RSS feeds, rank new items against the user's research interests, write a daily markdown digest (optionally into an Obsidian vault), and optionally email it. Use when the user says "/academic-journal-rss ...", asks to set up their RSS feeds, add a feed, or run today's digest.
★not rated 12 4mo agoA73 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: