PDF Processing
anthropics/skills
Handles everyday PDF jobs in Python and on the command line: extract text and tables, merge, split, rotate, watermark, fill forms, encrypt and OCR.
“Perform PDF operations on Windows using Python. Use for merging, splitting, rotating, extracting text, and stamping PDFs. Supports batch-safe scripts with pypdf and simple CLI…”
$ npx skills add MegaSuperKitty/WeClaw --skill pdf-toolkit-windows -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MegaSuperKitty/WeClaw pdf-toolkit-windows --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/MegaSuperKitty/WeClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/pdf-toolkit-windows .claude/skills/pdf-toolkit-windows && rm -rf skills-srcUse ~/.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/
Install the "pdf-toolkit-windows" agent skill from https://github.com/MegaSuperKitty/WeClaw/tree/master/skills/pdf-toolkit-windows into .claude/skills/pdf-toolkit-windows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-toolkit-windows", 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 install https://github.com/MegaSuperKitty/WeClaw/tree/master/skills/pdf-toolkit-windowsType 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.
$ npx skills add MegaSuperKitty/WeClaw --skill pdf-toolkit-windows -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MegaSuperKitty/WeClaw pdf-toolkit-windows --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MegaSuperKitty/WeClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/pdf-toolkit-windows .agents/skills/pdf-toolkit-windows && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pdf-toolkit-windows" agent skill from https://github.com/MegaSuperKitty/WeClaw/tree/master/skills/pdf-toolkit-windows into .agents/skills/pdf-toolkit-windows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-toolkit-windows", 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.
$ npx skills add MegaSuperKitty/WeClaw --skill pdf-toolkit-windows -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MegaSuperKitty/WeClaw pdf-toolkit-windows --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MegaSuperKitty/WeClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/pdf-toolkit-windows .cursor/skills/pdf-toolkit-windows && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pdf-toolkit-windows" agent skill from https://github.com/MegaSuperKitty/WeClaw/tree/master/skills/pdf-toolkit-windows into .cursor/skills/pdf-toolkit-windows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-toolkit-windows", 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 https://github.com/MegaSuperKitty/WeClaw.git --path skills/pdf-toolkit-windows--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add MegaSuperKitty/WeClaw --skill pdf-toolkit-windows -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MegaSuperKitty/WeClaw pdf-toolkit-windows --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MegaSuperKitty/WeClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/pdf-toolkit-windows .gemini/skills/pdf-toolkit-windows && rm -rf skills-srcUse ~/.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/
Install the "pdf-toolkit-windows" agent skill from https://github.com/MegaSuperKitty/WeClaw/tree/master/skills/pdf-toolkit-windows into .gemini/skills/pdf-toolkit-windows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-toolkit-windows", 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.
$ gh skill install MegaSuperKitty/WeClaw pdf-toolkit-windowsInstalls 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).
$ npx skills add MegaSuperKitty/WeClaw --skill pdf-toolkit-windows -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MegaSuperKitty/WeClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/pdf-toolkit-windows .github/skills/pdf-toolkit-windows && rm -rf skills-srcUse ~/.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/
Install the "pdf-toolkit-windows" agent skill from https://github.com/MegaSuperKitty/WeClaw/tree/master/skills/pdf-toolkit-windows into .github/skills/pdf-toolkit-windows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-toolkit-windows", 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.
$ npx skills add MegaSuperKitty/WeClaw --skill pdf-toolkit-windows -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MegaSuperKitty/WeClaw pdf-toolkit-windows --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MegaSuperKitty/WeClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/pdf-toolkit-windows .opencode/skills/pdf-toolkit-windows && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pdf-toolkit-windows" agent skill from https://github.com/MegaSuperKitty/WeClaw/tree/master/skills/pdf-toolkit-windows into .opencode/skills/pdf-toolkit-windows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-toolkit-windows", 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.
pdf-toolkit-windows“Perform PDF operations on Windows using Python. Use for merging, splitting, rotating, extracting text, and stamping PDFs. Supports batch-safe scripts with pypdf and simple CLI inputs.”
PDF Toolkit for Windows is a skill in MegaSuperKitty/WeClaw (370 stars). Its SKILL.md is about 192 tokens, with 8 other files in the folder (scripts, references). Licence: MIT.
Read from SKILL.md and the folder at commit de8bbbd. It shows what the files ask for, not the result of running them.
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.
Ships 5 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
PDF Toolkit for Windows loads about 192 tokens when it runs, and up to ~245 if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 40 words of instructions outside code blocks.
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.
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); the scripts in this folder are not scanned.
The full file from MegaSuperKitty/WeClaw at commit de8bbbd, republished under its MIT licence (© MegaSuperKitty). 40 words, ~192 tokens.
.claude/skills/pdf-toolkit-windows/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.Provide common PDF operations via small, reliable scripts based on pypdf.
python scripts/merge_pdfs.py --out build/merged.pdf --inputs a.pdf b.pdfscripts/merge_pdfs.pyscripts/split_pdf.pyscripts/rotate_pdf.pyscripts/extract_text.pyscripts/stamp_text.pyreferences/dependencies.mdreferences/page_ranges.md© MegaSuperKitty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 8 other files (scripts, references) in skills/pdf-toolkit-windows of MegaSuperKitty/WeClaw.
Open the folder on GitHubat commit de8bbbd
PDF Toolkit for Windows 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| PDF Toolkit for Windows this skillMegaSuperKitty/WeClaw | 370 | — | ~192 | Automated safety check: Pass | MIT | |
| PDF Processinganthropics/skills | 180k | 47 repos | ~2k | Automated safety check: Pass | Proprietary | |
| PDF Processing with PythonHKUDS/DeepTutor | 41k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| PDF ToolkitTokenRhythm/opensquilla | 7.1k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| PDF ToolkitXiaomiMiMo/MiMo-Code | 14k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| PDF Generation, Forms and Extractionpipeshub-ai/pipeshub-ai | 3.8k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 |
anthropics/skills
Handles everyday PDF jobs in Python and on the command line: extract text and tables, merge, split, rotate, watermark, fill forms, encrypt and OCR.
HKUDS/DeepTutor
Reads, extracts from, creates, merges, splits, watermarks, encrypts and fills PDF files with pdfplumber, pypdf and reportlab inside a Python sandbox.
TokenRhythm/opensquilla
Deterministic PDF operations through bundled scripts: extract text and tables, merge files or page ranges, split by range, fill form fields and build PDFs from data.
XiaomiMiMo/MiMo-Code
Reads, transforms, composes and fills PDFs with Python scripts for extraction, merging, watermarking, encryption, OCR and form filling.
pipeshub-ai/pipeshub-ai
Picks the right library for generating a new PDF, filling an existing PDF form, or extracting text and tables, defaulting to Node where possible.
NousResearch/hermes-agent
PDF files: create, read, merge, fill, OCR, edit text. An agent skill from NousResearch/hermes-agent.
MegaSuperKitty/WeClaw
Drafts a report in Markdown with numbered inline citations and a references section, then renders it to a styled HTML file through a Jinja2 template on Windows.
MegaSuperKitty/WeClaw
Builds PowerPoint decks on Windows from a structured slide spec using python-pptx, with an optional HTML-to-PDF-to-image path for complex layouts.
Categories
Run `npx skills add MegaSuperKitty/WeClaw --skill pdf-toolkit-windows -a claude-code`. Or copy the skill folder (skills/pdf-toolkit-windows in MegaSuperKitty/WeClaw) into .claude/skills/pdf-toolkit-windows in your project. Claude Code loads it when a task matches its description.
Run `npx skills add MegaSuperKitty/WeClaw --skill pdf-toolkit-windows -a codex`. Or copy the skill folder (skills/pdf-toolkit-windows in MegaSuperKitty/WeClaw) into .agents/skills/pdf-toolkit-windows in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MegaSuperKitty/WeClaw --skill pdf-toolkit-windows -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-toolkit-windows, .gemini/skills/pdf-toolkit-windows, .github/skills/pdf-toolkit-windows and .opencode/skills/pdf-toolkit-windows in your project.
Going by SKILL.md and its folder, PDF Toolkit for Windows needs Python for the scripts in its folder and the command-line tools its instructions call (python).
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.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
PDF Toolkit for Windows is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 192 tokens (SKILL.md is roughly 768 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 53 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with PDF Toolkit for Windows: PDF Processing (anthropics/skills, 180k stars), PDF Processing with Python (HKUDS/DeepTutor, 41k stars), PDF Toolkit (TokenRhythm/opensquilla, 7.1k stars) and PDF Toolkit (XiaomiMiMo/MiMo-Code, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
MegaSuperKitty (a GitHub user) maintains it in MegaSuperKitty/WeClaw, which has 370 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on May 8, 2026.
Source: MegaSuperKitty/WeClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.