PDF Toolkit
XiaomiMiMo/MiMo-Code
Reads, transforms, composes and fills PDFs with Python scripts for extraction, merging, watermarking, encryption, OCR and form filling.
腾讯云通用文字识别(高精度版)(GeneralAccurateOCR) 技能包。当用户发送/粘贴图片、提供图片URL、或要求识别图片中的文字时,应自动调用此技能。支持图像整体文字的检测和识别,支持中文、英文、中英文、数字和特殊字符号的识别,并返回文字框位置和文字内容。适用于文字较多、版式复杂、对识别准召率要求较高的场景,如网络图片、街景店招牌、法律卷宗、多语种简历等场景。支持图片Base64和U…
$ npx skills add infometa/workbuddyskills --skill tencentcloud-ocr -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills tencentcloud-ocr --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tencentcloud-ocr .claude/skills/tencentcloud-ocr && 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 "tencentcloud-ocr" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/tencentcloud-ocr into .claude/skills/tencentcloud-ocr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tencentcloud-ocr", 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/infometa/workbuddyskills/tree/main/skills/tencentcloud-ocrType 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 infometa/workbuddyskills --skill tencentcloud-ocr -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills tencentcloud-ocr --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/tencentcloud-ocr .agents/skills/tencentcloud-ocr && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tencentcloud-ocr" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/tencentcloud-ocr into .agents/skills/tencentcloud-ocr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tencentcloud-ocr", 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 infometa/workbuddyskills --skill tencentcloud-ocr -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills tencentcloud-ocr --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/tencentcloud-ocr .cursor/skills/tencentcloud-ocr && 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 "tencentcloud-ocr" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/tencentcloud-ocr into .cursor/skills/tencentcloud-ocr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tencentcloud-ocr", 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/infometa/workbuddyskills.git --path skills/tencentcloud-ocr--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 infometa/workbuddyskills --skill tencentcloud-ocr -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills tencentcloud-ocr --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/tencentcloud-ocr .gemini/skills/tencentcloud-ocr && 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 "tencentcloud-ocr" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/tencentcloud-ocr into .gemini/skills/tencentcloud-ocr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tencentcloud-ocr", 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 infometa/workbuddyskills tencentcloud-ocrInstalls 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 infometa/workbuddyskills --skill tencentcloud-ocr -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/tencentcloud-ocr .github/skills/tencentcloud-ocr && 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 "tencentcloud-ocr" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/tencentcloud-ocr into .github/skills/tencentcloud-ocr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tencentcloud-ocr", 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 infometa/workbuddyskills --skill tencentcloud-ocr -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills tencentcloud-ocr --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/tencentcloud-ocr .opencode/skills/tencentcloud-ocr && 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 "tencentcloud-ocr" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/tencentcloud-ocr into .opencode/skills/tencentcloud-ocr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tencentcloud-ocr", 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.
tencentcloud-ocr腾讯云通用文字识别(高精度版)(GeneralAccurateOCR) 技能包。当用户发送/粘贴图片、提供图片URL、或要求识别图片中的文字时,应自动调用此技能。支持图像整体文字的检测和识别,支持中文、英文、中英文、数字和特殊字符号的识别,并返回文字框位置和文字内容。适用于文字较多、版式复杂、对识别准召率要求较高的场景,如网络图片、街景店招牌、法律卷宗、多语种简历等场景。支持图片Base64和U…
Tencentcloud OCR is an agent skill from infometa/workbuddyskills. 腾讯云通用文字识别(高精度版)(GeneralAccurateOCR) 技能包。当用户发送/粘贴图片、提供图片URL、或要求识别图片中的文字时,应自动调用此技能。支持图像整体文字的检测和识别,支持中文、英文、中英文、数字和特殊字符号的识别,并返回文字框位置和文字内容。适用于文字较多、版式复杂、对识别准召率要求较高的场景,如网络图片、街景店招牌、法律卷宗、多语种简历等场景。支持图片Base64和URL两种输入方式,同时支持PDF文件识别和单字信息返回。对于简历识别场景,提供专门的结构化解析指引(详见 references/resume-parsing.md)。
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/resume-parsing.md` and `scripts/main.py`).
It sits in Documents & Office, covering PDF. It works with Tencent Cloud and Python. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 75a5ad9. 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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpipFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
xxx.comxxx.cos.xxxAlso links to:
cloud.tencent.comconsole.cloud.tencent.combuy.cloud.tencent.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
TENCENTCLOUD_SECRET_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tencentcloud OCR loads about 1.1k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 158 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 158 words (~1,077 tokens).
SKILL.md and 2 other files (scripts, references) in skills/tencentcloud-ocr of infometa/workbuddyskills.
Open the folder on GitHubat commit 75a5ad9
Tencentcloud OCR 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 |
|---|---|---|---|---|---|---|
| Tencentcloud OCR this skillinfometa/workbuddyskills | 344 | — | ~1.1k | Automated safety check: Pass | None | |
| 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 | |
| MineruNebutra/MinerU-Skill | 122 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Markdown Exporterbowenliang123/markdown-exporter | 271 | 1 repos | ~5.3k | Automated safety check: Pass | Apache-2.0 | |
| Kimi PDFthvroyal/kimi-skills | 238 | — | ~1.9k | Automated safety check: Pass | None |
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.
Nebutra/MinerU-Skill
An AI-Native skill for parsing PDF / Office / image files into clean Markdown with MinerU — a fast, zero-config document parser for AI agents.
bowenliang123/markdown-exporter
Convert Markdown text to DOCX, PPTX, XLSX, PDF, PNG, SVG, HTML, IPYNB, MD, CSV, JSON, JSONL, XML files, and extract code blocks in Markdown to Python, Bash,JS and etc files.
thvroyal/kimi-skills
Professional PDF solution. An agent skill from thvroyal/kimi-skills.
Team-Commonly/commonly
Convert binary documents (PDF, DOCX, XLSX, PPTX, HTML, EPUB, images) to clean LLM-friendly Markdown using Microsoft's markitdown Python tool.
infometa/workbuddyskills
This skill should be used when planning, coordinating, running, or reviewing student-led campus events, including club recruitment, freshman mixers, welcome activities, small talks, competitions…
infometa/workbuddyskills
K-12 interactive courseware creation. An agent skill from infometa/workbuddyskills.
infometa/workbuddyskills
A skill your agent uses when the adult weight-management MCP needs to be installed/set up in WorkBuddy (connector) or its result must be rendered as a standalone Chinese HTML plan.
infometa/workbuddyskills
A skill your agent uses when the user needs browser automation, including opening web pages, taking screenshots, extracting page content, clicking elements, filling forms, or testing web flows.
infometa/workbuddyskills
定时任务:每日研究简报。漏掉重要论文和行业报告?每天帮你盯着,关键信息一条不漏 This skill should be used when the user asks about 定时任务:每日研究简报.
infometa/workbuddyskills
Investment banking presentation quality checker. An agent skill from infometa/workbuddyskills.
Works with
Categories
腾讯云通用文字识别(高精度版)(GeneralAccurateOCR) 技能包。当用户发送/粘贴图片、提供图片URL、或要求识别图片中的文字时,应自动调用此技能。支持图像整体文字的检测和识别,支持中文、英文、中英文、数字和特殊字符号的识别,并返回文字框位置和文字内容。适用于文字较多、版式复杂、对识别准召率要求较高的场景,如网络图片、街景店招牌、法律卷宗、多语种简历等场景。支持图片Base64和U…. Tencentcloud OCR is an agent skill from infometa/workbuddyskills.
Tencentcloud OCR fits situations like: tasks that involve PDF.
Run `npx skills add infometa/workbuddyskills --skill tencentcloud-ocr -a claude-code`. Or copy the skill folder (skills/tencentcloud-ocr in infometa/workbuddyskills) into .claude/skills/tencentcloud-ocr in your project. Claude Code loads it when a task matches its description.
Run `npx skills add infometa/workbuddyskills --skill tencentcloud-ocr -a codex`. Or copy the skill folder (skills/tencentcloud-ocr in infometa/workbuddyskills) into .agents/skills/tencentcloud-ocr 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 infometa/workbuddyskills --skill tencentcloud-ocr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tencentcloud-ocr, .gemini/skills/tencentcloud-ocr, .github/skills/tencentcloud-ocr and .opencode/skills/tencentcloud-ocr in your project.
Going by SKILL.md and its folder, Tencentcloud OCR needs Python for the scripts in its folder, the command-line tools its instructions call (python and pip) and credentials named TENCENTCLOUD_SECRET_KEY. Our summary lists: Python 3; A credential in TENCENTCLOUD_SECRET_KEY.
SKILL.md names 5 domains. In commands or code: xxx.com and xxx.cos.xxx; the agent is likely to contact these when it follows the instructions. As links in the text: cloud.tencent.com, console.cloud.tencent.com and buy.cloud.tencent.com. 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.
No licence was found for Tencentcloud OCR or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.1k tokens (SKILL.md is roughly 4.3k 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 2.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Tencentcloud OCR: PDF Toolkit (XiaomiMiMo/MiMo-Code, 14k stars), PDF Generation, Forms and Extraction (pipeshub-ai/pipeshub-ai, 3.8k stars), Mineru (Nebutra/MinerU-Skill, 122 stars) and Markdown Exporter (bowenliang123/markdown-exporter, 271 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 344 GitHub stars. The repository holds 212 skills in this directory. The repository was last updated on October 7, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.