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Agent skill

Extracting Tables

by hashgraph-online in hashgraph-online/awesome-codex-plugins

A skill your agent uses when extracting tabular data from PDFs, spreadsheets, or images.

Apache-2.0Auto-check passedDocuments & Office

Install Extracting Tables

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill extracting-tables -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins extracting-tables --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/kreuzberg-dev/plugins/plugins/kreuzberg/skills/extracting-tables .claude/skills/extracting-tables && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
extracting-tables
GitHub stars
1.3k
Token cost
~1.4k tokens
SKILL.md length
431 words
Files
1
Skills in repo
714
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when extracting tabular data from PDFs, spreadsheets, or images.

  • Extracting tabular data from PDFs
  • SKILL.md covers Basic usage, Output shapes, Table models and Spreadsheets, plus 4 more sections
  • Calls jq
  • Tasks that involve Excel spreadsheets

What it does

Extracting Tables is an agent skill from hashgraph-online/awesome-codex-plugins. Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering Excel spreadsheets and Markdown. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • Extracting tabular data from PDFs
  • Tasks that involve Excel spreadsheets
  • Tasks that involve Markdown

Example prompts

  • “/extracting-tables”

Requirements

  • Python 3
  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit 9e7b281. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Extracting Tables loads about 1.4k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 431 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its Apache-2.0 licence (© hashgraph-online). 431 words, ~1,390 tokens.

Download SKILL.mdSave it as .claude/skills/extracting-tables/SKILL.md (or your agent's skills folder).
name
extracting-tables
description
Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.

Extracting tables

Use this when the user wants structured tabular data — financial statements, scientific tables, invoices, spreadsheet-style PDFs. Kreuzberg detects tables via a layout model (RT-DETR v2) and reconstructs cell structure with a configurable table model.

Basic usage

bash
# Markdown tables embedded in the content stream
kreuzberg extract report.pdf --layout --content-format markdown

# Structured JSON output, tables appear under result.tables
kreuzberg extract report.pdf --layout --format json

--layout turns on layout-aware extraction; without it, tables fall back to plain text reflow and you lose cell boundaries.

Output shapes

Two surfaces, picked via --format (CLI shape) and --content-format (content rendering):

  • Markdown tables in content — --content-format markdown. Tables appear inline as | col | col | blocks. Good for LLM ingestion.
  • Structured tables array — --format json. Each entry has cells[][] (rows × cols), markdown (pre-rendered), page_index, bbox. Use this when downstream code needs exact cell access.

Both are populated at once when --layout is on. The tables array is always structured; the content stream switches representation.

bash
kreuzberg extract financials.pdf --layout --format json \
  | jq '.tables[] | {page: .page_index, rows: (.cells | length)}'

Table models

--layout-table-model picks the reconstruction backend:

ModelBest forNotes
tatrdense complex tables (academic, financial)Default. Heaviest, highest accuracy.
slanet_autodispatches per-table to wired/wirelessGood when table styles are mixed.
slanet_wiredtables with visible bordersFaster than tatr.
slanet_wirelesstables without borders (whitespace-separated)For invoices, simple grids.
slanet_plushybrid wired / wirelessLighter than slanet_auto.
disabledlayout detection only, no table structureUse to skip table model cost.
bash
kreuzberg extract bank-statement.pdf \
  --layout --layout-table-model tatr --content-format markdown

Drop --layout-confidence when the layout model misses tables (default threshold ~0.5):

bash
kreuzberg extract noisy-scan.pdf --layout --layout-confidence 0.3

Spreadsheets

.xlsx, .ods, .csv, .tsv are extracted by dedicated parsers — no layout model needed. Each sheet becomes a markdown table (or structured table) automatically:

bash
kreuzberg extract workbook.xlsx --content-format markdown
kreuzberg extract data.csv --format json

Pass --no-cache=true only when iterating on the same file with different configs.

Config file alternative

toml
# `output_format` in config files equals `--content-format` on the CLI.
output_format = "markdown"

[layout_detection]
enabled = true
confidence_threshold = 0.5
table_model = "tatr"

Then:

bash
kreuzberg extract report.pdf --format json
Show full SKILL.md (180 more words)Show less

Programmatic access

From Python, structured tables live on result.tables:

python
from kreuzberg import extract_file_sync, ExtractionConfig, LayoutDetectionConfig

config = ExtractionConfig(
    layout_detection=LayoutDetectionConfig(enabled=True, table_model="tatr"),
    output_format="markdown",
)
result = extract_file_sync("report.pdf", config=config)
for table in result.tables:
    print(table.markdown)        # rendered markdown
    print(table.cells[0][0])     # cell access

Node.js mirrors this (extractFile, result.tables, camelCase fields). See references/python-api.md and references/nodejs-api.md in the sibling kreuzberg skill for full type signatures.

Known limitations

  • Merged cells — reconstructed as repeated values across the spanned region; the merge is not preserved as metadata in v0.1.
  • Rotated tables — enable --ocr-auto-rotate true for image-based PDFs before extraction.
  • Nested tables — flattened. Detection succeeds; structural nesting is lost.
  • Multi-page tables — each page yields a separate tables[] entry. Stitch by matching column headers if needed.
  • ONNX Runtime required — layout and table models are unavailable in WASM builds and on the Android x86_64 emulator; native targets ship full support.

Common failure modes

  • Empty tables with --layout on — confidence threshold too high or table model mismatched. Drop --layout-confidence to 0.3, try --layout-table-model tatr.
  • Markdown tables look ragged — switch --layout-table-model to slanet_wired for bordered grids or slanet_wireless for invoices.
  • Slow extraction — tatr is heavy. Use slanet_auto or slanet_plus as a default; reach for tatr only when accuracy matters.

See references/cli-reference.md for the full layout flag set and references/advanced-features.md for the layout pipeline internals.

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/kreuzberg-dev/plugins/plugins/kreuzberg/skills/extracting-tables of hashgraph-online/awesome-codex-plugins.

Open the folder on GitHubat commit 9e7b281

Compare with similar skills

Extracting Tables next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Extracting Tables compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Extracting Tables this skillhashgraph-online/awesome-codex-plugins1.3k—~1.4kAutomated safety check: PassApache-2.0
MarkitdownImCa0/just-laws78214 repos~3.2kAutomated safety check: NotesMIT
Markitshift-labs-ai/markit1.3k—~299Automated safety check: PassMIT
Doc Cleanernotoriouslab/doc-cleaner309—~712Automated safety check: PassMIT
MineruNebutra/MinerU-Skill122—~504Automated safety check: PassMIT
Gdoc To Markdowniurykrieger/claude-bedrock1051 repos~3.8kAutomated safety check: NotesMIT

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Categories

Questions about Extracting Tables

What does Extracting Tables do?

A skill your agent uses when extracting tabular data from PDFs, spreadsheets, or images. Extracting Tables is an agent skill from hashgraph-online/awesome-codex-plugins. Use when extracting tabular data from PDFs, spreadsheets, or images.

When should I use Extracting Tables?

Extracting Tables fits situations like: extracting tabular data from PDFs; tasks that involve Excel spreadsheets; tasks that involve Markdown.

How do I install Extracting Tables in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill extracting-tables -a claude-code`. Or copy the skill folder (plugins/kreuzberg-dev/plugins/plugins/kreuzberg/skills/extracting-tables in hashgraph-online/awesome-codex-plugins) into .claude/skills/extracting-tables in your project. Claude Code loads it when a task matches its description.

How do I install Extracting Tables in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill extracting-tables -a codex`. Or copy the skill folder (plugins/kreuzberg-dev/plugins/plugins/kreuzberg/skills/extracting-tables in hashgraph-online/awesome-codex-plugins) into .agents/skills/extracting-tables in your project. Codex loads it when a task matches its description.

Can I use Extracting Tables in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill extracting-tables -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/extracting-tables, .gemini/skills/extracting-tables, .github/skills/extracting-tables and .opencode/skills/extracting-tables in your project.

What does Extracting Tables need to run?

Going by SKILL.md and its folder, Extracting Tables needs the command-line tools its instructions call (jq). Our summary lists: Python 3; Node.js.

Does Extracting Tables access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Extracting Tables safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Extracting Tables use?

Extracting Tables is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Extracting Tables use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Extracting Tables?

Skills that share tags, products or a category with Extracting Tables: Markitdown (ImCa0/just-laws, 782 stars), Markit (shift-labs-ai/markit, 1.3k stars), Doc Cleaner (notoriouslab/doc-cleaner, 309 stars) and Mineru (Nebutra/MinerU-Skill, 122 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Extracting Tables?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.