AgentCC Logo

AgentCC

Skills MCP Servers AI Tools
Home
Browse

Evaluating Paper Relevance

14
kthornkthorn

Two-stage paper screening - abstract scoring then deep dive for specific data extraction

195 days ago

Cleaning Up Research Sessions

14
kthornkthorn

Safely remove intermediate files from completed research sessions while preserving important data

195 days ago

Finding Open Access Papers

14
kthornkthorn

Use Unpaywall API to find free full-text versions of paywalled papers

195 days ago

Traversing Citation Networks

14
kthornkthorn

Smart backward and forward citation following via Semantic Scholar, with relevance filtering and deduplication

195 days ago

Subagent-Driven Literature Review

14
kthornkthorn

Use parallel subagents for large-scale paper screening and deep dive analysis

195 days ago

Searching Scientific Literature

14
kthornkthorn

PubMed search with keyword optimization, result parsing, and metadata extraction

195 days ago

Getting Started with Research Superpowers

14
kthornkthorn

Introduction to literature search & review skills - systematic paper finding, screening, extraction, and citation traversal

195 days ago

Checking ChEMBL for Structured SAR Data

14
kthornkthorn

Check if medicinal chemistry papers are in ChEMBL database to access curated bioactivity data

195 days ago

Building Paper Screening Rubrics

14
kthornkthorn

Collaboratively build and refine paper screening rubrics through brainstorming, test-driven development, and iterative feedback

195 days ago

Answering Research Questions

14
kthornkthorn

Main orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize

195 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
Can't find your answer here? Get in touch

Explore

  • Skills Directory
  • MCP Servers
  • AI Tools
  • Changelog

Platform

  • About AgentCC
  • Privacy Policy
  • Terms of Service

Network

CS
ClawiSkill

Explore ClawiSkill for more agent-related content, projects, and community context.

onlinev0.1.0
AgentCC / The Agent Context Center
© 2026 AgentCC
kthorn

Explore Skills

10 available
kthorn
Sort by:
kthorn