AgentCC Logo

AgentCC

Skills MCP Servers AI Tools
Home
Browse

dd-docs

44
datadog-labsdatadog-labs

Datadog docs lookup using docs.datadoghq.com/llms.txt and linked Markdown pages.

194 days ago

dd-monitors

44
datadog-labsdatadog-labs

Monitor management - create, update, mute, and alerting best practices.

194 days ago

dd-logs

44
datadog-labsdatadog-labs

Log management - search, pipelines, archives, and cost control.

194 days ago

experiment-analzyer

42
datadog-labsdatadog-labs

Analyze LLM experiment results. Use when user says "analyze experiment", "experiment analysis", "evaluate experiment", "check experiment metrics", or provides an experiment ID for analysis. Requires experiment_id as argument.

195 days ago

experiment-analzyer-comparative

42
datadog-labsdatadog-labs

Analyze two llmo experiements in a comparative manner. Use when user says "analyze two experiments", "comparative experiment analysis", "evaluate experiments" "analyze against baseline". Requires two experiment_id as arguments to perform a comparative analysis, first is the baseline, second the candidate.

195 days ago

dd-apm

42
datadog-labsdatadog-labs

APM - traces, services, dependencies, performance analysis.

195 days ago

dd-pup

42
datadog-labsdatadog-labs

Datadog CLI (Go). OAuth2 auth with token refresh.

195 days ago

agent-skills

1
datadog-labsdatadog-labs

Datadog skills for AI agents. Essential monitoring, logging, tracing and observability.

194 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
datadog-labs

Explore Skills

8 available
datadog-labs
Sort by:
datadog-labs