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airtable-filtersAirtable filters 搜索

Agent Skill

airtable-filters 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

416

周安装

17

GitHub Stars

14

下载量

135
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:airtable-filters(Airtable filters 搜索)
来源仓库:https://github.com/airtable/skills
仓库路径:skills/airtable-filters
安装命令:
npx skills add https://github.com/airtable/skills --skill airtable-filters
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/airtable/skills --skill airtable-filters

简介

airtable-filters 用于对 Airtable 表格或界面页面中的记录进行筛选和查询,支持字段级条件过滤。

  • 适合在需要根据特定字段值组合条件检索数据时使用,可与页面内置过滤器逻辑叠加。
  • 使用时需先获取表结构以确定字段 ID,支持文本、数字、日期等多种字段类型的条件组合。
  • 建议结合 schema 查询使用,避免无效过滤条件;注意权限和网络访问限制。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Airtable MCP Filters

MCP tools that list or display records from tables or interface pages accept an optional filters parameter, using the same schema.

When querying records from an interface page, these filters are combined with the page's built-in filters using AND.

Schema shape

When no top-level operator is specified, conditions are combined with AND. The first element in a condition's operands array is always a field ID — look up the table's schema to find field IDs before filtering.

Field type categories

  • Text-like: singleLineText, multilineText, email, url, phoneNumber, richText, barcode
  • Numeric: number, percent, currency, rating, duration, autoNumber, count
  • Date: date, dateTime, createdTime, lastModifiedTime
  • Single select: singleSelect
  • Multiple selects: multipleSelects
  • Single collaborator: singleCollaborator
  • Multiple collaborators: multipleCollaborators
  • Linked records: multipleRecordLinks
  • Attachment: multipleAttachments
  • Checkbox: checkbox

Computed fields (formula, rollup, lookup) support whichever operators match their result type.

Comparison operators

OperatorSecond operandField categories
=string, number, boolean, choice IDtext-like, numeric, date, checkbox, single select, multiple selects, single collaborator, multiple collaborators, linked records
!=string, number, choice IDtext-like, numeric, date, single select, single collaborator
<, >, <=, >=number or date value objectnumeric, date
containsstringtext-like, linked records
doesNotContainstringtext-like, linked records
doesNotContainarray of IDsmultiple selects, multiple collaborators
isEmpty, isNotEmpty*(none)*text-like, numeric, date, single select, multiple selects, single collaborator, multiple collaborators, linked records, attachment
hasAnyOf, hasAllOfarray of IDsmultiple selects, multiple collaborators, linked records
isAnyOfarray of IDssingle select, single collaborator
isNoneOfarray of IDssingle select, single collaborator, linked records
isWithindate range objectdate
filename, fileTypestring or "image"/"text"attachment

When matching a field against multiple values, prefer dedicated operators (isAnyOf, isNoneOf, hasAnyOf, hasAllOf) over combining multiple = conditions with or/and, when those operators are available for the field type.

Field-type rules

Select fields

For select fields, operand values must be choice IDs (e.g., "selABCDEFGHIJKLM"), not display names. Look up the table's schema to find choice IDs before filtering.

Collaborator fields

When filtering by a collaborator group ID, use operatorOptions to match individual members of the group instead of the literal group ID. See the tool's operatorOptions parameter for details.

Example operand: {"operator": "hasAnyOf", "operands": ["fldCRi9oz2vRLcIWr", "ugpDUVUnftA7H9bG8"], "operatorOptions": {"matchGroupsByMembership": true}}

Attachment fields

Use fileType to filter attachments by type (e.g., "image", "text") rather than isNotEmpty when the user specifies a file type.

Date fields

Date comparisons (=, !=, <, >, <=, >=) use a date value object instead of a raw date string, and isWithin uses a date range object. The tool schema defines the available modes for each. Always include timeZone.

Composing conditions

A filter's top-level operands array can contain two or more conditions, which are combined with the top-level operator (AND by default). For simple multi-condition filters, this flat structure is sufficient.

When the logic requires mixing AND and OR, nest a filter object as one of the operands. Each nested filter has its own operator and operands.

OR inside AND — useful when one condition is fixed and another allows multiple alternatives:

"Scripted videos that are either in Writing or Pre-Production" → Bucket = Scripted AND (Status = Writing OR Status = Pre-Production)

AND inside OR — useful when you want records matching either a simple condition or a combination:

"Approved videos, or videos assigned to Bailey that are in Cut 2" → Status = Approved OR (Editor = Bailey AND Status = Cut 2 Ready)

When combining many conditions on different fields, prefer a flat AND rather than unnecessary nesting. Only nest when the logic genuinely requires mixed AND/OR at different levels.

Prefer composing all conditions into a single filters object rather than splitting them across multiple calls. A single call with a composed filter is more efficient and returns the correct result set directly.

Examples

Filter where a text field equals "orange" OR a number field is greater than 5:

{
    "operator": "or",
    "operands": [
        {"operator": "=", "operands": ["fld8WsrpLHHevsnW8", "orange"]},
        {"operator": ">", "operands": ["fldulcCPDVz87Bmnw", 5]}
    ]
}

Filter for records where a date field is within the past week:

{
    "operands": [
        {
            "operator": "isWithin",
            "operands": ["fldABC12345678x", {"mode": "pastWeek", "timeZone": "America/New_York"}]
        }
    ]
}

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能力 2

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.45%
按下载量换算47

Claude

28.6%
按下载量换算39

Cursor

20.06%
按下载量换算27

Gemini CLI

9.21%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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