Agent skill

PDF Processor

by gooseworks-ai in gooseworks-ai/goose-skills

Process PDFs - extract text, tables, and structured data from documents

Install PDF Processor

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill pdf-processor -a claude-code

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

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills pdf-processor --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-tools/capabilities/pdf-processor .claude/skills/pdf-processor && 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/

Paste into Claude Code

Install the "pdf-processor" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/pdf-processor into .claude/skills/pdf-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-processor", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/pdf-processor

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill pdf-processor -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills pdf-processor --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research-tools/capabilities/pdf-processor .agents/skills/pdf-processor && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "pdf-processor" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/pdf-processor into .agents/skills/pdf-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-processor", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill pdf-processor -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills pdf-processor --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research-tools/capabilities/pdf-processor .cursor/skills/pdf-processor && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "pdf-processor" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/pdf-processor into .cursor/skills/pdf-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-processor", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/research-tools/capabilities/pdf-processor

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill pdf-processor -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills pdf-processor --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research-tools/capabilities/pdf-processor .gemini/skills/pdf-processor && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "pdf-processor" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/pdf-processor into .gemini/skills/pdf-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-processor", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills pdf-processor

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill pdf-processor -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research-tools/capabilities/pdf-processor .github/skills/pdf-processor && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "pdf-processor" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/pdf-processor into .github/skills/pdf-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-processor", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill pdf-processor -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills pdf-processor --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research-tools/capabilities/pdf-processor .opencode/skills/pdf-processor && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "pdf-processor" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/pdf-processor into .opencode/skills/pdf-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-processor", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: pdf-processor
GitHub stars: 1.2k
Used in: 1 other repo
Token cost: ~1.1k tokens
SKILL.md length: 122 words
Files: 2
Skills in repo: 273
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Process PDFs - extract text, tables, and structured data from documents

Works in 4 steps: Fetch PDF Content → Extract with AI → Extract Tables → …
Tasks that involve PDF
SKILL.md covers Setup, Workflow, Example Usage and Tips, plus 1 more section
Calls curl, python3 and npx; reaches api.gooseworks.ai; needs GOOSEWORKS_API_KEY

What it does

PDF Processor is an agent skill from gooseworks-ai/goose-skills. Process PDFs - extract text, tables, and structured data from documents

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Documents & Office, covering PDF, Schema markup and Document parsing. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

Tasks that involve PDF
Tasks that involve Schema markup
Tasks that involve Document parsing

Example prompts

“/pdf-processor”

Requirements

Python 3
Node.js
A credential in GOOSEWORKS_API_KEY

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Fetch PDF Content
Extract with AI
Extract Tables
Convert to Markdown

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. 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:
- curl
- python3
- npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- api.gooseworks.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- GOOSEWORKS_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

PDF Processor loads about 1.1k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 122 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~21
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

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 gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 122 words, ~1,050 tokens.

Download SKILL.mdSave it as .claude/skills/pdf-processor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: pdf-processor
description: Process PDFs - extract text, tables, and structured data from documents
source: orthogonal

PDF Processor - Extract Data from PDFs

Setup

Read your credentials from ~/.gooseworks/credentials.json:

bash

export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Extract text, tables, and structured data from PDF documents.

Workflow

Step 1: Fetch PDF Content

Use Linkup to fetch PDF URLs:

bash

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/fetch","body":{"url":"https://example.com/document.pdf"}}'

Step 2: Extract with AI

Use ScrapeGraph to extract specific content:

bash

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
  "website_url": "https://example.com/report.pdf",
  "user_prompt": "Extract all financial figures, tables, and key metrics from this document"
}'

Step 3: Extract Tables

Get structured table data:

bash

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"riveter","path":"/v1/run"}'
  "input": {
    "urls": ["https://example.com/report.pdf"]
  },
  "output": {
    "tables": {"prompt": "Extract all tables with titles, headers, and rows", "contexts": ["urls"]}
  }
}'

Step 4: Convert to Markdown

Get readable markdown output:

bash

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/markdownify","body":{"website_url":"https://example.com/document.pdf"}}'

Example Usage

bash

# Extract data from financial report
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
  "website_url": "https://example.com/annual-report.pdf",
  "user_prompt": "Extract revenue, profit, and key business metrics with their values"
}'

# Extract invoice data
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"riveter","path":"/v1/run"}'
  "input": {"urls": ["https://example.com/invoice.pdf"]},
  "output": {
    "vendor": {"prompt": "Vendor name", "contexts": ["urls"]},
    "amount": {"prompt": "Total amount", "contexts": ["urls"]},
    "date": {"prompt": "Invoice date", "contexts": ["urls"]}
  }
}'

Tips

Specify exact data you need for better extraction
Use schemas for consistent structured output
Handle multi-page documents in chunks
Verify extracted numbers against source

Discover More

List all endpoints, or add a path for parameter details:

bash

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"linkup API endpoints"}' api show riveter
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"scrapegraph API endpoints"}'

Example: `curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"olostep","path":"/v1/scrapes`"}' for endpoint parameters.

Files

SKILL.md and 1 other file in skills/research-tools/capabilities/pdf-processor of gooseworks-ai/goose-skills.

SKILL.md
skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.

criptogus/agent-evolve-network.claude/skills/pdf-processor

Compare with similar skills

PDF Processor 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.

PDF Processor compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
PDF Processor this skillgooseworks-ai/goose-skills	1.2k	1 repos	~1.1k	Automated safety check: Pass	MIT	today
Markitdownjimmc414/Kosmos	595	2 repos	~1.7k	Automated safety check: Pass	None	today
MarkitdownImCa0/just-laws	782	14 repos	~3.2k	Automated safety check: Notes	MIT	yesterday
Huashu Markdown Publishing Pipelinealchaincyf/huashu-md-html	907	—	~4.8k	Automated safety check: Pass	MIT	1 mo ago
Lt2mdlibnyx/LT2MD	109	—	~4.4k	Automated safety check: Pass	AGPL-3.0	1 mo ago
MineruNebutra/MinerU-Skill	122	—	~504	Automated safety check: Pass	MIT	15 days ago

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Questions about PDF Processor

What does PDF Processor do?

Process PDFs - extract text, tables, and structured data from documents. PDF Processor is an agent skill from gooseworks-ai/goose-skills.

When should I use PDF Processor?

PDF Processor fits situations like: tasks that involve PDF; tasks that involve Schema markup; tasks that involve Document parsing.

How do I install PDF Processor in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill pdf-processor -a claude-code`. Or copy the skill folder (skills/research-tools/capabilities/pdf-processor in gooseworks-ai/goose-skills) into .claude/skills/pdf-processor in your project. Claude Code loads it when a task matches its description.

How do I install PDF Processor in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill pdf-processor -a codex`. Or copy the skill folder (skills/research-tools/capabilities/pdf-processor in gooseworks-ai/goose-skills) into .agents/skills/pdf-processor in your project. Codex loads it when a task matches its description.

Can I use PDF Processor 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 gooseworks-ai/goose-skills --skill pdf-processor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pdf-processor, .gemini/skills/pdf-processor, .github/skills/pdf-processor and .opencode/skills/pdf-processor in your project.

What does PDF Processor need to run?

Going by SKILL.md and its folder, PDF Processor needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.

Does PDF Processor access the network?

SKILL.md names 1 domain. In commands or code: api.gooseworks.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is PDF Processor 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 PDF Processor use?

PDF Processor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does PDF Processor use?

About 1.1k tokens (SKILL.md is roughly 4.2k 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 PDF Processor?

Skills that share tags, products or a category with PDF Processor: Markitdown (jimmc414/Kosmos, 595 stars), Markitdown (ImCa0/just-laws, 782 stars), Huashu Markdown Publishing Pipeline (alchaincyf/huashu-md-html, 907 stars) and Lt2md (libnyx/LT2MD, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains PDF Processor?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,239 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install PDF Processor

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

PDF Processor - Extract Data from PDFs

Setup

Workflow

Step 1: Fetch PDF Content

Step 2: Extract with AI

Step 3: Extract Tables

Step 4: Convert to Markdown

Example Usage

Tips

Discover More

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from gooseworks-ai/goose-skills

Related

Questions about PDF Processor