Documentation Index

Fetch the complete documentation index at: https://help.teable.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Agent Notes

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Help Center Screenshot Processing

python3 /Users/leo/.agents/skills/teable-doc-screenshots/scripts/stage_image.py \
  --input /tmp/clean.png \
  --output images/staged-field-preview/2026-05-11-topic.png \
  --padding-y 24 \
  --auto-fit-width

• Keep raw screenshots and experiment outputs in /tmp or an ignored scratch directory.
• Commit only final PNGs that are referenced by Markdown or MDX.
• Use one standard canvas for normal docs images: 1600px wide.
• Normal output uses padding-x=48 and padding-y=24.
• --auto-fit-width may reduce horizontal padding to 24px and upscale modestly when all of these are true:
  • source width is at least 1200px
  • aspect ratio is between 1.35 and 2.6
  • ordinary rendered width would be below 1472px
  • required scale is at most 1.3
  • final height is at most 1000px
• Very wide local UI strips should not be fit-width; leave them at normal size.
• Do not use legacy wide, panel, small, or tall presets for normal docs images.
• Dotted background, screenshot corner radius, and screenshot shadow are baked into the PNG.
• Docs CSS owns only the outer image border and small radius.

<img
  src="/images/staged-field-preview/2026-05-11-topic.png"
  alt="Describe the UI state"
  className="docs-screenshot"
/>

python3 - <<'PY'
import re, subprocess
from pathlib import Path

refs = set()
for root in ("en", "zh"):
    for path in Path(root).rglob("*"):
        if path.suffix.lower() in {".md", ".mdx"}:
            refs.update(r.lstrip("/") for r in re.findall(r"/images/staged-[^\s)\"']+\.png", path.read_text(errors="ignore")))

staged = subprocess.check_output(["git", "diff", "--cached", "--name-only"], text=True).splitlines()
images = {path for path in staged if path.startswith("images/staged-") and path.endswith(".png")}

print("extra staged images", sorted(images - refs))
print("missing staged image refs", sorted(refs - images))
PY