PDF Processing Pro
Skill1 starsChanged 53 days agoLicence not identifiedView on GitHub
综合办公文员与软件开发工程师当需要批量处理PDF表单、提取表格或进行OCR识别时,使用内置脚本一键完成自动化提取与数据校验,彻底告别繁琐的手动录入,让复杂文档工作流高效、稳健落地。
- Installs packages
9 other projects use a version of this, 7 of them edited.
Adopted by
Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Most recently taken up by
- Gopyr/gopyr-skills-hubtheir own version, first seen Oct 11, 2026
- Obitorinne22/claude-skills-mcpedited, first seen Sep 24, 2026
- MortuisVMain/ai-agent-superpowersedited, first seen Sep 15, 2026
- Mingel-github/claude-skillsedited, first seen Jul 17, 2026
- anbeime/skillword for word, first seen Jun 17, 2026
- CarbeneAI/Forgeedited, first seen Apr 22, 2026
Other versions9 projects use a version of this.
Word for word · 1
- anbeime/skill★ 7.9k100% same
Edited · 7
- nilecui/SkillsBase★ 2796% same
- ZanderRuss/obsidian-claude★ 1996% same
- CarbeneAI/Forge★ 996% same
- dycnnnb/skills★ 296% same
- Obitorinne22/claude-skills-mcp★ 196% same
- Mingel-github/claude-skills★ 096% same
- MortuisVMain/ai-agent-superpowers★ 098% same
Wrote their own version · 1
- Gopyr/gopyr-skills-hub★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository343 other files it gives its agents.
- vercel-react-best-practices/AGENTS.mdAGENTS.md
- 3-statement-modelSkill
- accessibility-a11ySkill
- accessibility-auditingSkill
- adding-analyticsSkill
- adding-api-docsSkill
- adding-authSkill
- adding-dockerSkill
- adding-e2e-testsSkill
- adding-error-trackingSkill
- adding-feature-flagsSkill
- adding-stripeSkill
- agentkit-multimedia-shoppingSkill
- agent-plan-modeSkill
- agent-spec-creatorSkill
- agent-subagent-orchestrationSkill
- agent-teamSkill
- algorithm-designSkill
- algo-senseiSkill
- anbeime-skills-indexSkill
- antinet-doc-parseSkill
- antinet-four-color-cardsSkill
- antinet-provenanceSkill
- antinet-security-scanSkill
- api-and-interface-designSkill
- api-architectSkill
- api-smoke-testingSkill
- archifySkill
- architecture-decision-recordsSkill
- article-illustratorSkill
- ask-mattSkill
- atutun-xhs-coverSkill
- auditing-performanceSkill
- auditing-securitySkill
- auto-type-checkingSkill
- babysitting-prSkill
- backend-api-designSkill
- baoyu-format-markdownSkill
- baoyu-post-to-wechatSkill
- baoyu-post-to-xSkill
- baoyu-url-to-markdownSkill
- bedtime-storySkill
- best-of-n-solvingSkill
- brainstormingSkill
- browser-testing-with-devtoolsSkill
- building-skills-from-patternsSkill
- calc-analysis-skillsSkill
- canvas-designSkill
- chief-of-staffSkill
- chrome-automationSkill
- ci-cd-and-automationSkill
- claude-handoffSkill
- codebase-designSkill
- codebase-onboardingSkill
- code-review-and-qualitySkill
- code-reviewSkill
- code-simplificationSkill
- comparing-branches-visuallySkill
- computer-vision-opencvSkill
- computer-vision-pipelineSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
5 rules. 4 are common, 0 are distinctive, and 1 is very specific to this project.
4
Common
Most of the 7 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

