generated: '2026-08-29'
method: searched
source: https://github.com/RelevanceAI/cc-plugin and https://github.com/RelevanceAI/agent-skills
provider: Relevance AI
providerId: relevance-ai
description: Agent Skills PUBLISHED BY RELEVANCE AI, saved verbatim. Nothing here was authored by API
  Evangelist. Ten skills come from the official Claude Code plugin (RelevanceAI/cc-plugin v1.5.0, MIT)
  and one is the top-level skill from RelevanceAI/agent-skills. Every skill operates through the remote
  MCP server rather than the REST API directly, so the operations they name are MCP tool names; mcp/relevance-ai-tool-crosswalk.yml
  binds those to the backing REST operationIds.
plugin:
  name: relevance-ai
  version: 1.5.0
  license: MIT
  marketplace: https://github.com/RelevanceAI/cc-plugin
  install: claude plugin marketplace add RelevanceAI/cc-plugin && claude plugin install relevance-ai@cc-plugin
skill_count: 11
skills:
- id: managing-relevance-agents
  file: relevance-ai-managing-relevance-agents.md
  description: Manages Relevance AI agents - creating, configuring tools, writing system prompts, setting
    up triggers, and running tasks. Use when building agents, attaching tools, debugging execution, or
    viewing agent results.
  source: https://github.com/RelevanceAI/cc-plugin/blob/main/plugins/relevance-ai/skills/managing-relevance-agents/SKILL.md
  mcp_tools_referenced: 26
  api: Relevance AI MCP Server (https://mcp.relevanceai.com/)
- id: managing-relevance-folders
  file: relevance-ai-managing-relevance-folders.md
  description: Organize Relevance AI agents and tools into folders — create, list, rename, move items
    between folders, and delete folders. Use when the user wants to tidy a project, group related items,
    or bulk-organize agents/tools after creating them.
  source: https://github.com/RelevanceAI/cc-plugin/blob/main/plugins/relevance-ai/skills/managing-relevance-folders/SKILL.md
  mcp_tools_referenced: 7
  api: Relevance AI MCP Server (https://mcp.relevanceai.com/)
- id: managing-relevance-knowledge
  file: relevance-ai-managing-relevance-knowledge.md
  description: Use whenever the user asks an agent to seed or update a structured-row store (CRM contacts,
    leads, support tickets) or to inspect knowledge-base metadata. Covers knowledge-base CRUD and row
    CRUD. File / document-URL ingestion is not available via the tools — direct the user to the Knowledge
    tab in the Relevance app UI. For Q&A over knowledge, attach the base to an agent and let the built-in
    `agent_knowledge` tool answer.
  source: https://github.com/RelevanceAI/cc-plugin/blob/main/plugins/relevance-ai/skills/managing-relevance-knowledge/SKILL.md
  mcp_tools_referenced: 13
  api: Relevance AI MCP Server (https://mcp.relevanceai.com/)
- id: managing-relevance-tools
  file: relevance-ai-managing-relevance-tools.md
  description: Manages Relevance AI tools (studios) - creating transformation workflows, configuring OAuth,
    setting vendor/brand tool icons, running tools, and recovering versions. Use when building tools,
    adding steps, setting a tool's icon for a provider, debugging transformations, or restoring previous
    versions.
  source: https://github.com/RelevanceAI/cc-plugin/blob/main/plugins/relevance-ai/skills/managing-relevance-tools/SKILL.md
  mcp_tools_referenced: 24
  api: Relevance AI MCP Server (https://mcp.relevanceai.com/)
- id: managing-relevance-workforces
  file: relevance-ai-managing-relevance-workforces.md
  description: Manages Relevance AI workforces (multi-agent systems) - creating workflows, configuring
    nodes/edges, triggering execution, and debugging runs. Use when building multi-agent pipelines, connecting
    agents together, or debugging workforce execution.
  source: https://github.com/RelevanceAI/cc-plugin/blob/main/plugins/relevance-ai/skills/managing-relevance-workforces/SKILL.md
  mcp_tools_referenced: 18
  api: Relevance AI MCP Server (https://mcp.relevanceai.com/)
- id: relevance-ai
  file: relevance-ai-relevance-ai.md
  description: Manage AI agents, tools & multi-agent workforces on Relevance AI. Use when the user wants
    to create agents, build tool workflows, orchestrate multi-agent systems, or manage knowledge tables
    via the Relevance AI API.
  source: https://github.com/RelevanceAI/agent-skills/blob/main/SKILL.md
  mcp_tools_referenced: 16
  api: Relevance AI MCP Server (https://mcp.relevanceai.com/)
- id: relevance-analytics
  file: relevance-ai-relevance-analytics.md
  description: Retrieves usage analytics for Relevance AI agents and projects. Use when asked about agent/workforce/tool
    usage, credit spend, error rates, breakdowns, task-status counts, most active agents, execution counts,
    or usage trends over time.
  source: https://github.com/RelevanceAI/cc-plugin/blob/main/plugins/relevance-ai/skills/relevance-analytics/SKILL.md
  mcp_tools_referenced: 7
  api: Relevance AI MCP Server (https://mcp.relevanceai.com/)
- id: relevance-diagnostics
  file: relevance-ai-relevance-diagnostics.md
  description: Diagnose what is wrong in a Relevance AI project and recommend fixes. Use when the user
    asks to "analyse my project", "diagnose this agent/workforce", "why is X failing?", "what's wrong
    / what should I fix?", "what's failing?", or "any regressions?". Finds root causes and recommends
    fixes by consuming the analytics, eval, and error read tools.
  source: https://github.com/RelevanceAI/cc-plugin/blob/main/plugins/relevance-ai/skills/relevance-diagnostics/SKILL.md
  mcp_tools_referenced: 24
  api: Relevance AI MCP Server (https://mcp.relevanceai.com/)
- id: relevance-evals
  file: relevance-ai-relevance-evals.md
  description: Manages evaluations and monitoring for agents and workforces (multi-agent systems) in Relevance
    AI — creating test cases, defining checks, configuring tool simulations, running evaluations, analysing
    results, and setting up performance dashboards that monitor production traffic. Use when testing agent
    or workforce behaviour, setting up automated testing, reviewing eval results, or monitoring production
    agents for failures.
  source: https://github.com/RelevanceAI/cc-plugin/blob/main/plugins/relevance-ai/skills/relevance-evals/SKILL.md
  mcp_tools_referenced: 37
  api: Relevance AI MCP Server (https://mcp.relevanceai.com/)
- id: relevance-slide-builder
  file: relevance-ai-relevance-slide-builder.md
  description: Manages slideshows, slideshow templates, slideshow versions, and brand kits in Relevance
    AI. Use when creating presentations, managing brand assets, exporting slides, or working with slide
    templates.
  source: https://github.com/RelevanceAI/cc-plugin/blob/main/plugins/relevance-ai/skills/relevance-slide-builder/SKILL.md
  mcp_tools_referenced: 1
  api: Relevance AI MCP Server (https://mcp.relevanceai.com/)
- id: relevance-task-ops
  file: relevance-ai-relevance-task-ops.md
  description: Read the Task Ops (monitor) page for a project — the operator surface that lists every
    agent task. Use when the user asks to see their tasks, how many are errored / escalated / awaiting
    approval, to list the failing tasks, or to open a specific task and read its error.
  source: https://github.com/RelevanceAI/cc-plugin/blob/main/plugins/relevance-ai/skills/relevance-task-ops/SKILL.md
  mcp_tools_referenced: 5
  api: Relevance AI MCP Server (https://mcp.relevanceai.com/)
note: The cc-plugin skills carry supporting reference files (creating.md, troubleshooting.md, transformations.md
  and others) alongside each SKILL.md. Only the SKILL.md entry point is mirrored here; the full trees
  live in the provider repositories linked above.