Skill
preset-admin
Manage Preset teams, workspaces, memberships, invites, role identifiers, seat checks, and audit logs through direct Management API calls. Use only for direct…
@preset-ioView SkillDevelopment
Skill
/preset-mcp
Route Superset MCP tool workflows, source-of-truth checks, and surface-boundary decisions. Use only for MCP tool workflows; do not use for direct API work.
Install
$ npx -y skills add preset-io/agent-skills --skill preset-mcp --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/preset-mcp
Context preview
The summary Claude sees to decide when to auto-load this skill.
Route Superset MCP tool workflows, source-of-truth checks, and surface-boundary decisions. Use only for MCP tool workflows; do not use for direct API work.
SKILL.md
preset-mcp.SKILL.mdname: preset-mcp
description: Route Superset MCP tool workflows, source-of-truth checks, and surface-boundary decisions. Use only for MCP tool workflows; do not use for direct API work.
preset-mcp
Use for Superset MCP intent, MCP tool routing, and MCP/API surface-boundary decisions.
Always
- Stay on MCP tools for MCP intent.
- Treat `superset/superset/mcp_service` as the only source of truth for MCP tool names, schemas, tags, annotations, prompts, resources, and RBAC metadata.
- Call tools directly with the obvious parameters; fetch a tool's schema only after a validation error. These skills are workflow guidance, not schema definitions.
- Do not use direct Preset Management API, Superset REST API, Snowflake Cortex API, curl, Python requests, exports, or database calls from this package.
- If MCP cannot satisfy the request, stop and explain the missing MCP capability. Do not switch surfaces.
Decision Rules
- MCP intent includes MCP tools, MCP clients, Superset MCP, Preset MCP, MCP resources, MCP prompts, tool discovery, and MCP tool errors.
- Direct API intent includes API credentials, REST endpoints, OpenAPI, curl/Python requests, Management API, workspace API, and Snowflake Cortex APIs.
- If the user starts with MCP intent and mentions direct API only as a fallback, keep MCP intent. Say: "No API fallback. Direct API is a different surface and requires separate explicit approval. Stop before API calls."
- When the session is connected through MCP tools and the user has not named a surface, default to MCP and proceed; ask only when the user explicitly mixes both surfaces in one request.
- Use a domain skill after routing: discovery, data, visualization, dashboard, sqllab, datasets, or troubleshooting.
Workflow Order
1. Identify whether the user requested MCP or direct API. 2. For MCP, choose the narrowest MCP domain skill. 3. Call the tool with the obvious parameters; consult its schema only after a validation error. 4. If MCP lacks a requested capability, explain the missing MCP capability. 5. Ask before changing surfaces and stop before API calls.
Retrieve
- Tool categories and loading strategy: [references/tool-categories.md](references/tool-categories.md)
- Surface boundary examples: [references/surface-boundary.md](references/surface-boundary.md)
Read more
name: preset-mcp description: Route Superset MCP tool workflows, source-of-truth checks, and surface-boundary decisions. Use only for MCP tool workflows; do not use for direct API work.
preset-mcp
Use for Superset MCP intent, MCP tool routing, and MCP/API surface-boundary decisions.
Always
- Stay on MCP tools for MCP intent.
- Treat `superset/superset/mcp_service` as the only source of truth for MCP tool names, schemas, tags, annotations, prompts, resources, and RBAC metadata.
- Call tools directly with the obvious parameters; fetch a tool's schema only after a validation error. These skills are workflow guidance, not schema definitions.
- Do not use direct Preset Management API, Superset REST API, Snowflake Cortex API, curl, Python requests, exports, or database calls from this package.
- If MCP cannot satisfy the request, stop and explain the missing MCP capability. Do not switch surfaces.
Decision Rules
- MCP intent includes MCP tools, MCP clients, Superset MCP, Preset MCP, MCP resources, MCP prompts, tool discovery, and MCP tool errors.
- Direct API intent includes API credentials, REST endpoints, OpenAPI, curl/Python requests, Management API, workspace API, and Snowflake Cortex APIs.
- If the user starts with MCP intent and mentions direct API only as a fallback, keep MCP intent. Say: "No API fallback. Direct API is a different surface and requires separate explicit approval. Stop before API calls."
- When the session is connected through MCP tools and the user has not named a surface, default to MCP and proceed; ask only when the user explicitly mixes both surfaces in one request.
- Use a domain skill after routing: discovery, data, visualization, dashboard, sqllab, datasets, or troubleshooting.
Workflow Order
1. Identify whether the user requested MCP or direct API. 2. For MCP, choose the narrowest MCP domain skill. 3. Call the tool with the obvious parameters; consult its schema only after a validation error. 4. If MCP lacks a requested capability, explain the missing MCP capability. 5. Ask before changing surfaces and stop before API calls.
Retrieve
- Tool categories and loading strategy: [references/tool-categories.md](references/tool-categories.md)
- Surface boundary examples: [references/surface-boundary.md](references/surface-boundary.md)
Ships withpreset-io-agent-skills
Agent guidance for working with Preset, Apache Superset, and Superset MCP tools. The skills work across Claude, OpenAI Codex, Cursor, GitHub Copilot, Snowflake Cortex Code CLI, and Gemini CLI from a single source.
Get the whole plugin
Other skills on preset-io-agent-skills.
@preset-ioView SkillSkill
preset-api
Prepare direct Preset API access: auth, JWT exchange, base URLs, pagination, Rison parameters, response handling, and shared API setup. Use only for direct API…
@preset-ioView SkillSkill
preset-cortex-agents
Use Snowflake Cortex Agent REST and SQL APIs for listing, describing, creating, updating, deleting, running agents, streaming responses, and SQL wrappers. Use…
@preset-ioView SkillSkill
preset-dashboards
Inspect Preset workspace dashboards, charts, dashboard composition, screenshots, thumbnails, chart data, and chart/dashboard operation routing through direct…
@preset-ioView SkillSkill
preset-database-connec…
Inspect or route Preset database connection configuration, validation, OAuth, upload, create, update, and delete workflows through direct Superset API calls.…
@preset-ioView SkillSkill
preset-datasets
Inspect Preset workspace datasets, database metadata, schemas, tables, columns, metrics, and dataset/database workflow routing through direct Superset API…
@preset-ioView Skill