transformers
Skill0 starsChanged 3 months agoNo licenceView on GitHub
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
- Installs packages
14 other projects use a version of this, 9 of them edited.
Adopted by
Most recently taken up by
- BrightGold70/skillsedited, first seen Nov 8, 2026
- MarieLynneBlock/arcanum-artifexedited, first seen Nov 1, 2026
- patoangolano/bio-stackedited, first seen Oct 15, 2026
- huggingface/agentcaptheir own version, first seen Oct 13, 2026
- Luooops/skillsedited, first seen Oct 13, 2026
- wu-yc/LabClawedited, first seen Oct 8, 2026
Used with
Projects with it also use usfiscaldata, get-available-resources and 1 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
yf8578Skillusfiscaldata
Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.
Also in 7 projects that use this
SoljournerSkillget-available-resources
Enumerate installed packages, databases, and tools for engineering workflows
Also in 9 projects that use this
tondevrelSkillqutip
Quantum Toolbox in Python. Framework for simulating the dynamics of open quantum systems. Provides data structures for quantum objects (kets, bras, operators) and solvers for master equations, Monte Carlo trajectories, and time-dependent Hamiltonians. Use for quantum dynamics simulation, open quantum systems, master equations, quantum optics, cavity QED, Jaynes-Cummings model, Rabi oscillations, Wigner functions, quantum correlations, entanglement analysis, and quantum control.
Also in 7 projects that use this
Other versions14 projects use a version of this.
Word for word · 1
- Hongyu-yu/matsci-ai-skills★ 19100% same
Edited · 9
- wu-yc/LabClaw★ 1.1k80% same
- LeonChaoX/qinyan-academic-skills★ 91097% same
- qinyan-ai/qinyan-academic-skills★ 8097% same
- MarieLynneBlock/arcanum-artifex★ 493% same
- BrightGold70/skills★ 180% same
- Luooops/skills★ 144% same
- uppifyagency/boilerplate-saas-2026★ 197% same
- yf8578/claude-skills-collection★ 180% same
- patoangolano/bio-stack★ 027% same
Wrote their own version · 4
- huggingface/agentcap★ 32same name
- tondevrel/scientific-agent-skills★ 22same name
- JunMA98/Computer-science-claude-skills★ 3same name
- ffsshhttiikk/opencode-agents-skills★ 2same 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 repository1,071 other files it gives its agents.
- accelint-nextjs-best-practices/AGENTS.mdAGENTS.md
- accelint-react-best-practices/AGENTS.mdAGENTS.md
- accelint-react-testing/AGENTS.mdAGENTS.md
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- clean-code-principles/AGENTS.mdAGENTS.md
- gstack/AGENTS.mdAGENTS.md
- laravel-ai-sdk/AGENTS.mdAGENTS.md
- laravel-best-practices/AGENTS.mdAGENTS.md
- laravel-database-optimization/AGENTS.mdAGENTS.md
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- react-vite-best-practices/AGENTS.mdAGENTS.md
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- tailwind-best-practices/AGENTS.mdAGENTS.md
- testing-best-practices/AGENTS.mdAGENTS.md
- typescript-react-patterns/AGENTS.mdAGENTS.md
- vercel-composition-patterns/AGENTS.mdAGENTS.md
- vercel-react-best-practices/AGENTS.mdAGENTS.md
- vercel-react-native-skills/AGENTS.mdAGENTS.md
- vercel-react-view-transitions/AGENTS.mdAGENTS.md
- gstack/CLAUDE.mdCLAUDE.md
- web-asset-generator/CLAUDE.mdCLAUDE.md
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. 2 are common, 0 are distinctive, and 0 are very specific to this project.
2
Common
Most of the 13 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — 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 13 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.
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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
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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.

