Sponsored by

Find leads on Reddit on auto pilot

Agent skills
machine-learning

Topic: machine-learning

247 skills in this topic.

full-stack Full-stack development skill that coordinates backend and frontend changes together. Use for features that span both layers: new API endpoint + UI, data model changes, end-to-end flows.
srbhr/Resume-Matcher 26,484
navigator Quick codebase orientation for Resume Matcher. Points to key directories, architecture docs, and available skills. Use as a starting point before diving into code. For advanced search, use the codebase-navigator skill.
srbhr/Resume-Matcher 26,484
nextjs-performance Next.js critical performance fixes. Prevents async waterfalls, reduces bundle size, secures Server Actions, and ensures correct production builds. Use when writing React components, data fetching, Server Actions, or optimizing bundle size.
srbhr/Resume-Matcher 26,484
react-patterns React and Next.js performance optimization guidelines from Vercel Engineering, tuned for local/offline or Docker-deployed apps. Eliminates async waterfalls, reduces bundle size, optimizes server and client performance.
srbhr/Resume-Matcher 26,484
tailwind-patterns Production-ready Tailwind CSS patterns for responsive layouts, cards, navigation, forms, buttons, and typography. Includes spacing scale, breakpoints, mobile-first patterns, dark mode, and Swiss International Style overrides for Resume Matcher.
srbhr/Resume-Matcher 26,484
ui-review Review UI changes against Swiss International Style design system. Checks colors, typography, borders, shadows, spacing, and anti-patterns. Use before committing any frontend UI changes.
srbhr/Resume-Matcher 26,484
book-translation Translate "The Interactive Book of Prompting" chapters and UI strings to a new language
f/prompts.chat 159,339
widget-generator Generate customizable widget plugins for the prompts.chat feed system
f/prompts.chat 159,339
prompt-lookup Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
f/prompts.chat 159,339
skill-lookup Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, install a skill for Claude, or extend Claude's capabilities with reusable AI agent components.
f/prompts.chat 159,339
add-uint-support Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
pytorch/pytorch 98,726
aoti-debug Debug AOTInductor (AOTI) errors and crashes. Use when encountering AOTI segfaults, device mismatch errors, constant loading failures, or runtime errors from aot_compile, aot_load, aoti_compile_and_package, or aoti_load_package.
pytorch/pytorch 98,726
at-dispatch-v2 Convert PyTorch AT_DISPATCH macros to AT_DISPATCH_V2 format in ATen C++ code. Use when porting AT_DISPATCH_ALL_TYPES_AND*, AT_DISPATCH_FLOATING_TYPES*, or other dispatch macros to the new v2 API. For ATen kernel files, CUDA kernels, and native operator implementations.
pytorch/pytorch 98,726
docstring Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstrings in PyTorch code.
pytorch/pytorch 98,726
document-public-apis Document undocumented public APIs in PyTorch by removing functions from coverage_ignore_functions and coverage_ignore_classes in docs/source/conf.py, running Sphinx coverage, and adding the appropriate autodoc directives to the correct .md or .rst doc files. Use when a user asks to remove functions from conf.py ignore lists.
pytorch/pytorch 98,726
metal-kernel Write Metal/MPS kernels for PyTorch operators. Use when adding MPS device support to operators, implementing Metal shaders, or porting CUDA kernels to Apple Silicon. Covers native_functions.yaml dispatch, host-side operators, and Metal kernel implementation.
pytorch/pytorch 98,726
pr-review Review PyTorch pull requests for code quality, test coverage, security, and backward compatibility. Use when reviewing PRs, when asked to review code changes, or when the user mentions "review PR", "code review", or "check this PR".
pytorch/pytorch 98,726
pt2-bug-basher Debug PyTorch 2 compiler stack failures including Dynamo graph breaks, Inductor codegen errors, AOTAutograd crashes, and accuracy mismatches. Use when encountering torch.compile errors, BackendCompilerFailed exceptions, recompilation issues, Triton kernel failures, FX graph problems, or when the user mentions debugging PT2, Dynamo, Inductor, or compiled model issues.
pytorch/pytorch 98,726
pyrefly-type-coverage Migrate a file to use stricter Pyrefly type checking with annotations required for all functions, classes, and attributes.
pytorch/pytorch 98,726
scrub-issue Fetch, analyze, reproduce, and minimize GitHub issue reproductions. Use when asked to check if an issue reproduces, minimize a repro, analyze a bug report, or scrub/triage an issue for reproducibility.
pytorch/pytorch 98,726
skill-writer Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill, or needs help with SKILL.md files, frontmatter, or skill structure.
pytorch/pytorch 98,726
triaging-issues Triages GitHub issues by routing to oncall teams, applying labels, and closing questions. Use when processing new PyTorch issues or when asked to triage an issue.
pytorch/pytorch 98,726
jta Translate JSON i18n files to multiple languages with AI-powered quality optimization. Use when user mentions translating JSON, i18n files, internationalization, locale files, or needs to convert language files to other languages.
ckanner/agent-skills 21
prompt-optimizer This skill should be used when users request help optimizing, improving, or refining their prompts or instructions for AI models. Use this skill when users provide vague, unclear, or poorly structured prompts and need assistance transforming them into clear, effective, and well-structured instructions that AI models can better understand and execute. This skill applies comprehensive prompt engineering best practices to enhance prompt quality, clarity, and effectiveness.
ckanner/agent-skills 21