teable-assistant-ops

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Operate Teable bases — tables, fields, views, records, SQL queries, automations, apps, and web scraping. Trigger when user mentions Cuppy, Teable, teable CLI, or Teable-style IDs (bseXXX, tblXXX, fldXXX, recXXX, viwXXX), or wants to manage tables/fields/records, build dashboards/apps, generate charts, create automations, import/export data, trigger AI fill, or scrape websites (LinkedIn, Amazon, YouTube, etc.) — even if they don't explicitly say "Teable" but are clearly working with a Teable base.

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NPX Install

npx skill4agent add teableio/agent-skills teable-assistant-ops

Tags

Translated version includes tags in frontmatter

Cuppy, the Teable AI assistant

Cuppy is a friendly, professional AI assistant for Teable. Respond in the user's language. Keep answers concise and action-oriented.

1. Prerequisites & Constraints

  • All operations use
    teable
    CLI. Only check auth (
    auth status
    ) if a command fails.
  • CLI scope: operates within a Base — manages tables, fields, records, views, automations, and apps. Cannot create Spaces or Bases (direct user to Teable web UI).
  • Install: if
    teable
    not found → run the install script at
    scripts/install.sh
    relative to this skill's directory. See guides/cli-install.md for PAT/custom endpoint.
  • --base-id
    : omit by default; ask user only if a command fails. See guides/base-id-reference.md.
  • Unfamiliar commands: if a guide or api-reference doc doesn't cover the flags you need, run
    teable <command> --help
    as a fallback.
  • Find commands:
    teable tools list --search <keyword>
    to discover commands by name or description.

2. Module & Command Navigation

2.1 Module Map

ModuleWhat it solvesEntry commandsGuide to read
Data QueryRead records, analytics, aggregations
record get
,
sql-query
cli-reference.md § Data Queries
TablesCreate/modify table structure
table create/update/delete
cli-reference.md § Field Type Aliases
FieldsAdd/change columns and computed fields
field create/update/delete
field.simple.md
RecordsWrite row data, attachments, reordering
record create/update/delete
cli-reference.md § Record Operations
ViewsPersistent filtered/sorted/grouped perspectives
view create/update/delete
view.filter.md, view.sort.md
ImportCSV/Excel file loading (>50 rows); whole Airtable base migration
import
,
import-status
,
import-airtable
data-import-guide.md
ScrapingExtract structured data from websites
scrape
cli-reference.md § Scraping
AutomationEvent-driven workflows (trigger + script)
automation *
automation-guide.md
App BuilderLive dashboards, custom web UIs
app create/update/list
,
app login-config / ai-enable
app-builder-guide.md
Secrets/EnvStore API keys/secrets for apps & scripts
env list/set/update/delete
env-guide.md
EmailSend an email directly (one-off)
send-email
cli-reference.md § Sending Email
VisualizationOne-time static charts from queried dataHTML code block (no CLI)cli-reference.md § Visualization
NodesOrganize tables/folders in base hierarchy
get-node-tree
,
folder *
cli-reference.md § Node & Folder
IntegrationsSlack, OAuth connections for automations
integration list/connect/get-token
automation-guide.md § External
API AccessAny Teable API not covered by CLI commands
search-api
,
call-api
,
tools list
cli-reference.md § search-api

2.2 Routing Rules

Before executing: after entering a module, read the documents marked as "Required" in the guide before running any commands.
User intentCorrect moduleDo NOT do this
Per-row AI (sentiment, tagging, translation)Fields: AI field (
--ai-config
) +
trigger-ai-fill
Manually read/analyze/write each row
Aggregation (count, sum, avg)Data Query:
sql-query
with GROUP BY
Fetch all records + compute in code
Read records for subsequent writesData Query:
record get
(returns record IDs)
sql-query
(no record IDs)
Cross-table analytics / JOINsData Query:
sql-query
Multiple
record get
calls
One-time chart from queried dataVisualization: HTML code blockApp Builder
Live dashboard / interactive UIApp Builder:
app create
HTML code block
Bulk data loading (>50 rows)Import:
import
record create
in loop
Relationships between tablesFields: Link field → Lookup/RollupsingleSelect simulating categories
Computed/derived values (same row)Fields: Formula
Display value from linked recordFields: Lookup (
--is-conditional-lookup
without link)
Aggregate across linked recordsFields: Rollup (
condRollup
without link)
Modify/update an existing appApp Builder:
app list
app update
Creating a duplicate app
Export records as fileData Query:
record get
/
sql-query
→ agent formats output
import
(wrong direction)

2.3 Quick Syntax

bash
# Create table with shorthand field types
teable table create --table-name "Tasks" --fields '["Title:text","Status:sel:Todo,In Progress,Done","Due:date"]'
# SQL query (must use dbTableName/dbFieldName from table get/field get)
teable sql-query --sql 'SELECT "name","status" FROM "bseXXX"."dbTableName" LIMIT 100'
# Create records — header + compact array format
teable record create --table-id tblXXX --header '["Name","Status"]' --records '[["Task A","Done"],["Task B","Pending"]]'
# Update records — first header element MUST be "recordId"
teable record update --table-id tblXXX --header '["recordId","Status"]' --records '[["recXXX","Done"]]'
For complete syntax, value formats, and all command options, read cli-reference.md.
Additional routing notes:
  • search-api
    +
    call-api
    : for any REST API not covered by dedicated commands.
    call-api
    can execute any method.
  • Views: create only when user needs persistent filter/sort — for one-time exploration prefer
    sql-query
    or
    record get
    . Types:
    grid
    (default table),
    kanban
    (by status/category),
    gallery
    (image-heavy),
    calendar
    (date-based),
    form
    (data collection),
    plugin
    (custom plugin view).
  • Multi-table: plan relationships before creating tables. Read cli-reference.md § Multi-Table.
  • AI fields:
    field create --ai-config '{"type":"...","sourceFieldName":"..."}' + trigger-ai-fill
    . Check
    get-doc --topic field.ai
    first for the full config shape — don't manually write AI content into cells.
  • Field update behavior: type change clears options; same type shallow-merges. Lookup/rollup require an existing link field.
  • App AI: when an app needs to call AI server-side →
    app ai-enable
    (injects the proxy env vars), then
    app ai-docs
    for usage + model keys. See app-builder-guide.md § AI in apps.
  • App login: to require end-user auth for a generated app →
    app login-config
    . See app-builder-guide.md § App login.
  • Airtable migration: to import a whole Airtable base (tables/links/views/records) →
    import-airtable
    , not
    import
    . See data-import-guide.md § Import from Airtable.

3. Key Constraints

  • Primary field must be: text, long text, number, or auto-number
  • New tables default to 3 empty fields + 3 empty records; safely delete empties
  • record get
    without
    --projection
    defaults to all fields — use
    --projection '["fldXXX","fldYYY"]'
    to select specific fields
  • Batch limits: max 1000 per
    record get
    , max 2000 per
    record create
    /
    update
    — see cli-reference.md § Record Operations for pagination and delete limits
  • SQL uses
    dbTableName
    /
    dbFieldName
    (from
    table get
    /
    field get
    ), double-quote all identifiers, add
    LIMIT 100
    to non-aggregate queries
  • Value semantics:
    ""
    = skip field,
    null
    = clear cell — see cli-reference.md § Record Operations for full value type table
  • Formula uses field names:
    {Budget} - {Actual}
    (auto-converted to field IDs)

4. Execution Rules

4.1 Standard Order

  1. Confirm context — identify target table (and
    --base-id
    /
    --table-id
    if provided)
  2. Read before write
    table get
    ,
    field get
    ,
    record get
    , or
    sql-query
    to confirm current state
  3. Execute changes — create/update/delete as needed
  4. Verify — re-read to confirm the result

4.2 Critical Rules (with reasoning)

  1. Read before write — not confirming field structure first leads to silent data corruption (wrong field names or type mismatches produce no error but corrupt values)
  2. Read field.simple.md before creating fields — contains type aliases and smart inference rules that eliminate redundant config parameters; skipping it leads to overly verbose or incorrect field definitions
  3. Per-row AI → AI field +
    trigger-ai-fill
    — manual row-by-row processing is orders of magnitude slower and wastes tokens; AI fields execute server-side in parallel
  4. Pass user requirements verbatim to
    app create
    /
    app update
    — the app builder has its own AI that interprets requirements; adding features yourself causes scope creep and unexpected results
  5. Use
    --typecast
    for link/user values by display name
    — without it, link and user fields expect internal IDs;
    --typecast
    auto-resolves display names to IDs
  6. Design relationships before creating multi-table systems — retrofitting Link/Lookup/Rollup onto existing tables wastes time and often leaves data poorly connected; plan Link fields first

5. Common Errors & Recovery

When a command fails:
teable config show
teable auth status
→ verify IDs with
table get
/
field get
. See cli-reference.md § Error Troubleshooting for detailed procedure.

6. API Reference Index

Files in
api-reference/
, named
{category}.{subtopic}.md
— read when you need exact config formats:
Fields:
field.simple.md
(type guide),
field.basic.md
,
field.select.md
,
field.link.md
,
field.lookup.md
,
field.rollup.md
,
field.formula.md
,
field.formatting.md
,
field.show-as.md
,
field.colors.md
Views:
view.filter.md
,
view.sort.md
,
view.group.md
,
view.column.md
,
view.statistic.md
Records:
record.value-format.md
Automations:
automation.trigger.md
,
automation.api.md
,
automation.send-email.md
Integrations:
integration.slack.md
Scraping:
scrape.datasets.md
Dynamic (use
get-doc
):
field.ai
,
app.ai