AI导哈

后端与数据库

pipefy-database-tables

pipefy/ai-toolkit

Use this skill when the user wants to work with Pipefy Database Tables — creating/reading/updating/deleting tables, records (rows), or table fields (schema columns).

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安装命令

npx skills add https://github.com/pipefy/ai-toolkit --skill pipefy-database-tables

SKILL.md

Database Tables

MCP clients: read references/mcp.md. CLI users: read references/cli.md. Examples below describe shared operation arguments.

Tables, records (rows), schema columns (table fields), and attachments for Pipefy Database Tables.

Cross-cutting patterns

  • Use introspect_type on inputs such as CreateTableFieldInput / UpdateTableFieldInput.
  • Pagination: get_table_records and find_records support first / after; default page size is 50.
  • find_records over paginated get_table_records when you know the field value. One call with field_id and field_value beats N pages of get_table_records.

Table operations

Database Tables

MCP clients: read references/mcp.md. CLI users: read references/cli.md. Examples below describe shared operation arguments.

Tables, records (rows), schema columns (table fields), and attachments for Pipefy Database Tables.

Cross-cutting patterns

  • Use introspect_type on inputs such as CreateTableFieldInput / UpdateTableFieldInput.
  • Pagination: get_table_records and find_records support first / after; default page size is 50.
  • find_records over paginated get_table_records when you know the field value. One call with field_id and field_value beats N pages of get_table_records.

Table operations

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