26,389 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.
Paper-grounded ML research and open-problem attack for Claude Code. Crawls arXiv and citation graphs, reads whole papers in parallel subagents, mechanically verifies every quote, archives a model's real code locally and grounds later sessions in it, and runs falsifiable attacks on hard unsolved problems.
★not rated 3 27d agoA
tokens not measured
originalMIT
Point at any topic to build a compounding, domain-general expertise knowledge base: a high-fidelity source corpus, track-record-weighted experts, reconciled falsifiable stances, failure modes, benchmarks, and a proven playbook — built as evergreen notes a future agent can load and reason over. Use when the user wants…
Maps your projects into a living architecture graph: scan a directory of repos, sync the graph to the quasar-graph backend, then use it as a map — graph-aware context, cross-repo research, one-command stack cloning, and in-place graph editing.
★not rated 3 1mo agoA
tokens not measured
originalMIT
Weekly competitor radar for business owners. Gathers cited intelligence with parallel BrightData scout subagents, then convenes a real agent team of strategic analysts to debate the moves. Publishes to a local folder, Notion, and a self-contained HTML dashboard.
★not rated 3 2mo agoA
tokens not measured
originalMIT
Faithful web research → a folder of clean markdown (aggregation, not synthesis). Claude browses, judges each page, and keeps only the good ones. First run silently installs a headless browser (200MB) under /.local/share/ultra-research.
★not rated 3 1mo agoA
tokens not measured
originalMIT
Team 10x.in research system for autonomous deep research, content creation, web scraping, and AI image generation. Supports MCP-first workflows with Tavily, Firecrawl, and Playwright plus local fallback scripts and brand-aware delivery.
Search and browse AI coding assistant chat history across providers (Claude Code, Codex CLI, Cursor). Find past conversations, inject historical context into the current session, and search across all chat records. Powered by the ai-history CLI tool.
Token-efficient code-understanding harness. Routes structural questions (callers, callees, impact, inheritors) to a prebuilt code graph instead of repeated grep and file-reads, cutting cumulative context tokens. Type /token-master in a repo to build the index and turn on routing.
★not rated 3 1mo agoA
tokens not measured
originalMIT
Dispatches research agents to find real projects, papers, and documented failures before proposing any feature, architecture, or technology choice. Triggers on creative/design tasks, not on implementation of already-designed specs.
Use this skill when the user provides an arXiv ID (e.g., arXiv:2508.12856) and asks to read, analyze, or extract equations from the paper. Activates for literature review, equation extraction, paper understanding, and cross-referencing tasks in academic research contexts.
Orchestrates Gemini CLI and Copilot CLI agents for comprehensive research, development, and analysis tasks. Coordinates multiple AI perspectives, consolidates findings, and provides consensus-based recommendations. Use PROACTIVELY for complex tasks requiring multi-agent collaboration.
Find your first SaaS users by searching Reddit, X, YouTube, LinkedIn, and Bluesky for people already describing the problem your product solves. Ranks every result by buying intent and drafts platform-tuned outreach. Backed by the Gorilla API at https://usegorilla.app.
Use this agent when the user needs AWS-specific technology research using the AWS Knowledge MCP server to match project requirements to AWS services, architecture patterns, Well-Architected guidance, and Security Hub controls. Examples: Context: User has a project with requirements and wants AWS service…
A product-management workflow engine that combines eight planning modules into one process. It supports tasks such as market research, competitor analysis, requirements documents, architecture, interface planning, and technical plans.
A structured-information extraction workflow for finding business rules, events, states, constraints, entities, and relationships in code, documents, and logs.
★not rated 3 7mo agoA160 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: