SKILL RADAR · GITHUB
Useful agent skills, ranked by real adoption.
Browse verified skills from public repositories. Compare what each skill does, package contents, install activity, and source evidence before adding it to your agent.
- CATALOG SCOPE
- VERIFIED
- skills
- 10,772
- repositories
- 1711
- last synced
- Sep 23, 2026
affaan-mtasteforge-video
Use for file-driven multimodal image, video, and 3D-asset discovery; taste interviews; distill or apply workflows; style-pack validation; editable EDL/FCPXML export; provenance audits; and offline planning that must fail closed before provider generation.
- installs
- 1
- GitHub stars
- 255.9K
- Updated
- Sep 10
mastra-aireact-best-practices
React performance optimization guidelines from Mastra Engineering. This skill should be used when writing, reviewing, or refactoring React code to ensure optimal performance patterns. Triggers on tasks involving React components, data fetching, bundle optimization, or performance improvements.
- installs
- 1
- GitHub stars
- 27.9K
- Updated
- Sep 10
huggingfacehuggingface-llm-trainer
Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, model selection/leaderboards and model persistence. Use for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
- installs
- 1
- GitHub stars
- 11K
- Updated
- Sep 10
sickn33api-designer
Generates complete, production-ready REST API endpoint specifications for any system or domain the user describes.
- installs
- 1
- GitHub stars
- 46.3K
- Updated
- Sep 9
sickn33app-store-optimization
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
- installs
- 1
- GitHub stars
- 46.3K
- Updated
- Sep 9
sickn33telegram-bot-builder
Expert in building Telegram bots that solve real problems - from simple automation to complex AI-powered bots. Covers bot architecture, the Telegram Bot API, user experience, monetization strategies, and scaling bots to thousands of users.
- installs
- 1
- GitHub stars
- 46.3K
- Updated
- Sep 9
wshobsoncode-review-excellence
Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.
- installs
- 1
- GitHub stars
- 39.6K
- Updated
- Sep 7
wshobsonlora-qlora-recipes
Configure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters. Use when writing or reviewing a LoRA/QLoRA training configuration, choosing rank/alpha/target modules, or deciding between LoRA, QLoRA, and full fine-tuning.
- installs
- 1
- GitHub stars
- 39.6K
- Updated
- Sep 7
tirth8205explore-codebase
Navigate and understand codebase structure using the knowledge graph
- installs
- 1
- GitHub stars
- 31.3K
- Updated
- Sep 10
alirezarezvanidocker-development
Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Use when: user wants to optimize a Dockerfile, create or improve docker-compose configurations, implement multi-stage builds, audit container security, reduce image size, or follow container best practices. Covers build performance, layer caching, secret management, and production-ready container patterns.
- installs
- 1
- GitHub stars
- 25.8K
- Updated
- Aug 30
alirezarezvanisenior-frontend
Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality.
- installs
- 1
- GitHub stars
- 25.8K
- Updated
- Aug 30
nvidianemo-rl-session-memory
Manage durable working-session memory for coding agents. Use when a user asks to preserve or recover agent context across disconnects, VS Code restarts, long-running work, handoffs, or any session where important state should be written periodically under the repo's session directory. Do NOT use for: simple questions, short tasks, one-off commands, linting, or code review.
- installs
- 1
- GitHub stars
- 3.3K
- Updated
- Sep 8
muratcankoylancontext-degradation
This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-pattern issues, and agent performance degradation caused by accumulated or conflicting context.
- installs
- 1
- GitHub stars
- 18K
- Updated
- Aug 19
muratcankoylancontext-fundamentals
This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development.
- installs
- 1
- GitHub stars
- 18K
- Updated
- Aug 19
muratcankoylancontext-optimization
This skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache strategy, partitioning, token-cost reduction, retrieval scoping, and extending effective context capacity without lowering answer quality.
- installs
- 1
- GitHub stars
- 18K
- Updated
- Aug 19
muratcankoylanmulti-agent-patterns
This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.
- installs
- 1
- GitHub stars
- 18K
- Updated
- Aug 19
typescript-eslintcode-clarity
Remove the unnecessary intermediate variables, restating comments, redundant type annotations, and imprecise names that make code longer without making it clearer. Use when writing or reviewing any TypeScript in this repository, especially code written with an AI agent's help.
- installs
- 1
- GitHub stars
- 16.4K
- Updated
- Sep 10
typescript-eslinttypes-not-workarounds
Fix imprecise types at their source instead of papering over them with runtime checks, assertion helpers, or in narrowing. Use when reviewing or writing code that adds a guard, an assertion, or an optional chain only to satisfy the type checker.
- installs
- 1
- GitHub stars
- 16.4K
- Updated
- Sep 10
img2threejsimg2threejs
Turn an object or character reference image into a quality-gated, animation-ready procedural Three.js model built in code. Use for image-to-3D reconstruction, detail-accurate object rebuilds, stylized/likeness-maximized human characters, sculpt specs, and staged code generation.
- installs
- 1
- GitHub stars
- 15.7K
- Updated
- Sep 7
trailhqgraft
This repo is indexed by graft/. For ANY task here, whether understanding how something works, finding where code lives, tracing what calls a symbol or what a change breaks, or scoping an edit, get your context from graft before grepping or reading source files.
- installs
- 1
- GitHub stars
- 7K
- Updated
- Sep 10
steipetebrowser-use
Control the user's existing signed-in Chrome: callable Codex Chrome plugin first, then OpenClaw extension-backed mcporter, with direct DevTools attachment only as a last fallback.
- installs
- 1
- GitHub stars
- 6.6K
- Updated
- Sep 8
antfuvue-router-best-practices
Vue Router 4 patterns, navigation guards, route params, and route-component lifecycle interactions.
- installs
- 1
- GitHub stars
- 5.9K
- Updated
- Jun 23
epoko77-aihumanize
AI가 쓴 한글 텍스트를 자연스럽게 윤문하는 진입 명령. humanize-korean 파이프라인을 Fast 모드(기본)로 실행하고 --strict면 정밀 3콜(진단→겨냥 윤문→finalize). 트리거 — "/humanize".
- installs
- 1
- GitHub stars
- 5.4K
- Updated
- Sep 6
epoko77-aihumanize-redo
가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능. humanize-korean strict 윤문(Phase B)을 기존 runid에 재실행해 잔존 finding을 처리한다. 트리거 — "/humanize-redo".
- installs
- 1
- GitHub stars
- 5.4K
- Updated
- Sep 6