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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 2001 | flutter-architecting-apps | flutter/agent-plugins |
Architecting Flutter Applications Contents Core Architectural Principles Structuring the Layers Implementing the Data Layer Feature Implementation Workflow Examples Core Architectural Principles Design Flutter applications to scale by strictly adhering to the following principles: Enforce Separation of Concerns: Decouple UI rendering from business logic and data fetching. Organize the codebase into distinct layers (UI, Logic, Data) and further separate by feature within those layers. Maintain a ...
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10.3K |
| 2002 | vue-jsx-best-practices | vuejs-ai/skills |
Vue JSX best practices and differences from React JSX. JSX Migrating React JSX code to Vue or getting attribute type errors → See render-function-jsx-vue-vs-react
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10.3K |
| 2003 | web3-testing | wshobson/agents |
Web3 Smart Contract Testing Master comprehensive testing strategies for smart contracts using Hardhat, Foundry, and advanced testing patterns. When to Use This Skill Writing unit tests for smart contracts Setting up integration test suites Performing gas optimization testing Fuzzing for edge cases Forking mainnet for realistic testing Automating test coverage reporting Verifying contracts on Etherscan Hardhat Testing Setup // hardhat.config.js require("@nomicfoundation/hardhat-toolbox"); requi...
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10.3K |
| 2004 | hybrid-search-implementation | wshobson/agents |
Hybrid Search Implementation Patterns for combining vector similarity and keyword-based search. When to Use This Skill Building RAG systems with improved recall Combining semantic understanding with exact matching Handling queries with specific terms (names, codes) Improving search for domain-specific vocabulary When pure vector search misses keyword matches Core Concepts 1. Hybrid Search Architecture Query → ┬─► Vector Search ──► Candidates ─┐ │ │ ...
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10.3K |
| 2005 | anti-reversing-techniques | wshobson/agents |
AUTHORIZED USE ONLY: This skill contains dual-use security techniques. Before proceeding with any bypass or analysis: Verify authorization: Confirm you have explicit written permission from the software owner, or are operating within a legitimate security context (CTF, authorized pentest, malware analysis, security research) Document scope: Ensure your activities fall within the defined scope of your authorization Legal compliance: Understand that unauthorized bypassing of software protection m...
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10.3K |
| 2006 | postmortem-writing | wshobson/agents |
Postmortem Writing Comprehensive guide to writing effective, blameless postmortems that drive organizational learning and prevent incident recurrence. When to Use This Skill Conducting post-incident reviews Writing postmortem documents Facilitating blameless postmortem meetings Identifying root causes and contributing factors Creating actionable follow-up items Building organizational learning culture Core Concepts 1. Blameless Culture Blame-Focused Blameless "Who caused this?" "What condition...
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10.3K |
| 2007 | nx-workspace-patterns | wshobson/agents |
Nx Workspace Patterns Production patterns for Nx monorepo management. When to Use This Skill Setting up new Nx workspaces Configuring project boundaries Optimizing CI with affected commands Implementing remote caching Managing dependencies between projects Migrating to Nx Core Concepts 1. Nx Architecture workspace/ ├── apps/ Deployable applications │ ├── web/ │ └── api/ ├── libs/ Shared libraries │ ├── shared/ │ │ ├── ui/ │ │ └── utils/ │ └── feature...
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10.3K |
| 2008 | sast-configuration | wshobson/agents |
SAST Configuration Static Application Security Testing (SAST) tool setup, configuration, and custom rule creation for comprehensive security scanning across multiple programming languages. Overview This skill provides comprehensive guidance for setting up and configuring SAST tools including Semgrep, SonarQube, and CodeQL. Use this skill when you need to: Set up SAST scanning in CI/CD pipelines Create custom security rules for your codebase Configure quality gates and compliance policies Opt...
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10.3K |
| 2009 | ai-prompt-engineering-safety-review | github/awesome-copilot |
AI Prompt Engineering Safety Review & Improvement You are an expert AI prompt engineer and safety specialist with deep expertise in responsible AI development, bias detection, security analysis, and prompt optimization. Your task is to conduct comprehensive analysis, review, and improvement of prompts for safety, bias, security, and effectiveness. Follow the comprehensive best practices outlined in the AI Prompt Engineering & Safety Best Practices instruction. Your Mission Analyze the provided p...
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10.3K |
| 2010 | distributed-tracing | wshobson/agents |
Distributed Tracing Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices. Purpose Track requests across distributed systems to understand latency, dependencies, and failure points. When to Use Debug latency issues Understand service dependencies Identify bottlenecks Trace error propagation Analyze request paths Distributed Tracing Concepts Trace Structure Trace (Request ID: abc123) ↓ Span (frontend) [100ms] ↓ Span (api-gateway) [80ms] ├→ ...
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10.3K |
| 2011 | springboot-tdd | affaan-m/ecc |
Spring Boot TDD Workflow TDD guidance for Spring Boot services with 80%+ coverage (unit + integration). When to Use New features or endpoints Bug fixes or refactors Adding data access logic or security rules Workflow Write tests first (they should fail) Implement minimal code to pass Refactor with tests green Enforce coverage (JaCoCo) Unit Tests (JUnit 5 + Mockito) Show more Installs 1.5K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 19, 2026 Security Audits Gen Agent Trust Hub Pass...
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10.3K |
| 2012 | multi-cloud-architecture | wshobson/agents |
Multi-Cloud Architecture Decision framework and patterns for architecting applications across AWS, Azure, and GCP. Purpose Design cloud-agnostic architectures and make informed decisions about service selection across cloud providers. When to Use Design multi-cloud strategies Migrate between cloud providers Select cloud services for specific workloads Implement cloud-agnostic architectures Optimize costs across providers Cloud Service Comparison Compute Services AWS Azure GCP Use Case EC2 Vi...
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10.3K |
| 2013 | threejs-lighting | cloudai-x/threejs-skills |
Three.js Lighting Quick Start import * as THREE from "three"; // Basic lighting setup const ambientLight = new THREE.AmbientLight(0xffffff, 0.5); scene.add(ambientLight); const directionalLight = new THREE.DirectionalLight(0xffffff, 1); directionalLight.position.set(5, 5, 5); scene.add(directionalLight); Light Types Overview Light Description Shadow Support Cost AmbientLight Uniform everywhere No Very Low HemisphereLight Sky/ground gradient No Very Low DirectionalLight Parallel rays (sun) Yes...
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10.3K |
| 2014 | companion-clis | runpod/runpod-plugins-official |
Companion CLIs Four CLIs commonly needed alongside Runpod. Each has its own credentials + command reference in reference/ — plus a one-time <cli>-setup.md for install (only opened if the CLI isn't installed). Load only the one the task needs, not all four. CLI Use it to Full reference hf (HuggingFace) Download models from the Hub to cache/bake into images reference/huggingface.md gh (GitHub) Manage worker repos + cut releases (Hub indexes releases) reference/github.md docker Build/validate/push ...
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10.3K |
| 2015 | diagnosing-superpowers | obra/superpowers |
Diagnosing Superpowers Overview Pin down with your human partner what went wrong in a session, read the transcripts on disk, and report what happened with evidence. You report; you do not diagnose superpowers. Whoever triages the bundle or the issue decides whether superpowers changes. Core principle: Every finding cites path:line . No citation, no finding. Every number comes from the transcript or from a command you ran, never from memory. Workflow Create a todo per step. Steps 5–7 run only on ...
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10.3K |
| 2016 | agentic-eval | github/awesome-copilot |
Agentic Evaluation Patterns Patterns for self-improvement through iterative evaluation and refinement. Overview Evaluation patterns enable agents to assess and improve their own outputs, moving beyond single-shot generation to iterative refinement loops. Generate → Evaluate → Critique → Refine → Output ↑ │ └──────────────────────────────┘ When to Use Quality-critical generation: Code, reports, analysis requiring high accuracy Tasks with clear evaluation ...
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10.2K |
| 2017 | csharp-xunit | github/awesome-copilot |
XUnit Best Practices Your goal is to help me write effective unit tests with XUnit, covering both standard and data-driven testing approaches. Project Setup Use a separate test project with naming convention [ProjectName].Tests Reference Microsoft.NET.Test.Sdk, xunit, and xunit.runner.visualstudio packages Create test classes that match the classes being tested (e.g., CalculatorTests for Calculator ) Use .NET SDK test commands: dotnet test for running tests Test Structure No test class attribute...
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10.2K |
| 2018 | django-tdd | affaan-m/ecc |
Django Testing with TDD Test-driven development for Django applications using pytest, factory_boy, and Django REST Framework. When to Activate Writing new Django applications Implementing Django REST Framework APIs Testing Django models, views, and serializers Setting up testing infrastructure for Django projects TDD Workflow for Django Red-Green-Refactor Cycle Show more Installs 1.5K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 19, 2026 Security Audits Gen Agent Trust Hub Pass Soc...
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10.2K |
| 2019 | security-scan | affaan-m/ecc |
Security Scan Skill Audit your Claude Code configuration for security issues using AgentShield . When to Activate Setting up a new Claude Code project After modifying .claude/settings.json , CLAUDE.md , or MCP configs Before committing configuration changes When onboarding to a new repository with existing Claude Code configs Periodic security hygiene checks What It Scans Show more Installs 1.6K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 19, 2026 Security Audits Gen Agent Trust H...
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10.2K |
| 2020 | similarity-search-patterns | wshobson/agents |
Similarity Search Patterns Patterns for implementing efficient similarity search in production systems. When to Use This Skill Building semantic search systems Implementing RAG retrieval Creating recommendation engines Optimizing search latency Scaling to millions of vectors Combining semantic and keyword search Core Concepts 1. Distance Metrics | Metric | Formula | Best For | | ------------------ | ------------------ | --------------------- | --- | -------------- | | Cosine | 1 - (A·B)/(‖A‖‖...
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10.2K |
| 2021 | spark-optimization | wshobson/agents |
Apache Spark Optimization Production patterns for optimizing Apache Spark jobs including partitioning strategies, memory management, shuffle optimization, and performance tuning. When to Use This Skill Optimizing slow Spark jobs Tuning memory and executor configuration Implementing efficient partitioning strategies Debugging Spark performance issues Scaling Spark pipelines for large datasets Reducing shuffle and data skew Core Concepts 1. Spark Execution Model Driver Program ↓ Job (trigger...
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10.2K |
| 2022 | saga-orchestration | wshobson/agents |
Saga Orchestration Patterns for managing distributed transactions and long-running business processes. When to Use This Skill Coordinating multi-service transactions Implementing compensating transactions Managing long-running business workflows Handling failures in distributed systems Building order fulfillment processes Implementing approval workflows Core Concepts 1. Saga Types Choreography Orchestration ┌─────┐ ┌─────┐ ┌─────┐ ┌─────────────┐ │Svc A│─►│Svc B│─►│Svc...
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10.2K |
| 2023 | vector-index-tuning | wshobson/agents |
Vector Index Tuning Guide to optimizing vector indexes for production performance. When to Use This Skill Tuning HNSW parameters Implementing quantization Optimizing memory usage Reducing search latency Balancing recall vs speed Scaling to billions of vectors Core Concepts 1. Index Type Selection Data Size Recommended Index ──────────────────────────────────────── < 10K vectors → Flat (exact search) 10K - 1M → HNSW 1M - 100M → HNSW + Quantization > 100M →...
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10.2K |
| 2024 | pollinations-ai | supercent-io/skills-template |
Pollinations.ai Image Generation Free, open-source AI image generation through simple URL parameters. No API key or signup required. When to use this skill Quick prototyping : Generate placeholder images instantly Marketing assets : Create hero images, banners, social media content Creative exploration : Test multiple styles and compositions rapidly No-budget projects : Free alternative to paid image generation services Automated workflows : Script-friendly URL-based API Instructions Step 1: Und...
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10.2K |
| 2025 | screen-reader-testing | wshobson/agents |
Screen Reader Testing Practical guide to testing web applications with screen readers for comprehensive accessibility validation. When to Use This Skill Validating screen reader compatibility Testing ARIA implementations Debugging assistive technology issues Verifying form accessibility Testing dynamic content announcements Ensuring navigation accessibility Core Concepts 1. Major Screen Readers Screen Reader Platform Browser Usage VoiceOver macOS/iOS Safari ~15% NVDA Windows Firefox/Chrome ~31...
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10.2K |
| 2026 | sandbox-agent | rivet-dev/skills |
Sandbox Agent provides a universal API for orchestrating AI coding agents in sandboxed environments. What To Do If You Get Stuck If something is not working as intended or you are stuck, prompt the user to join the [Rivet Discord](https://rivet.dev/discord) or file an issue on [GitHub](https://github.com/rivet-dev/sandbox-agent/issues) to report an issue and get help. Provide the user with a pre-generated report with: - Symptoms If this is happening in local dev, deployed, or both - The e...
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10.2K |
| 2027 | rust-testing | affaan-m/ecc |
Rust Testing Patterns Comprehensive Rust testing patterns for writing reliable, maintainable tests following TDD methodology. When to Use Writing new Rust functions, methods, or traits Adding test coverage to existing code Creating benchmarks for performance-critical code Implementing property-based tests for input validation Following TDD workflow in Rust projects How It Works Show more Installs 1.6K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 19, 2026 Security Audits Gen Agent T...
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10.2K |
| 2028 | agentmemory-agents | rohitg00/agentmemory |
agentmemory connect <agent> merges the memory server into a host agent's config and preserves any existing servers. REST is the underlying protocol; for MCP-only hosts the adapter wires the stdio MCP bridge. Quick start agentmemory connect claude-code or cursor, codex, gemini-cli, ... After wiring, restart the host or run its MCP reload (for example /mcp in Claude Code) so it picks up the server. Then confirm the agent lists agentmemory's tools. Workflow Detect the calling agent. If unknown, de...
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10.2K |
| 2029 | devops-engineer | jeffallan/claude-skills |
DevOps Engineer Senior DevOps engineer specializing in CI/CD pipelines, infrastructure as code, and deployment automation. Role Definition You are a senior DevOps engineer with 10+ years of experience. You operate with three perspectives: Build Hat: Automating build, test, and packaging Deploy Hat: Orchestrating deployments across environments Ops Hat: Ensuring reliability, monitoring, and incident response When to Use This Skill Setting up CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins...
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10.2K |
| 2030 | superdesign | superdesigndev/superdesign-skill |
SuperDesign helps you (1) find design inspirations/styles and (2) generate/iterate design drafts on an infinite canvas. Core scenarios (what this skill handles) Help me design X (feature/page/flow) Set design system Help me improve design of X How it works Fetch fresh guidelines below: https://raw.githubusercontent.com/superdesigndev/superdesign-skill/main/skills/superdesign/SUPERDESIGN.md Action accordingly based on instruction in the guidelines Superdesign CLI npm install -g @superdesign...
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10.2K |
| 2031 | nature-downloader | yuan1z0825/nature-skills |
Contains Shell Commands This skill contains shell command directives ( !`command` ) that may execute system commands. Review carefully before installing. Nature Literature Downloader This skill routes literature through lawful open-access, publisher-API, CNKI institutional, and browser-based institutional providers. scripts/batch_download.mjs is the orchestration entry point; school configuration, publisher credentials, metadata/OA resolution, provider downloads, content validation, and manifest...
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10.2K |
| 2032 | nature-ref-verifier | yuan1z0825/nature-skills |
nature-ref-verifier — 学术参考文献多源验证技能 触发词 verify references 、 校验文献 、 check references 、 核对参考文献 、 文献验证 、 ref check 适用场景 开题报告/论文提交前,对全部参考文献做最终核查 收到审稿意见指出引用错误时,精准定位问题 从旧项目迁移参考文献到新论文时,批量验证有效性 Zotero 库定期健康检查 工作流 Step 1: 解析输入 支持三种输入格式: Show more Installs 833 Repository yuan1z0825/nature-skills GitHub Stars 29.9K First Seen 14 days ago Security Audits Gen Agent Trust Hub Pass Socket Warn Snyk Warn
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10.2K |
| 2033 | hybrid-cloud-networking | wshobson/agents |
Hybrid Cloud Networking Configure secure, high-performance connectivity between on-premises and cloud environments using VPN, Direct Connect, and ExpressRoute. Purpose Establish secure, reliable network connectivity between on-premises data centers and cloud providers (AWS, Azure, GCP). When to Use Connect on-premises to cloud Extend datacenter to cloud Implement hybrid active-active setups Meet compliance requirements Migrate to cloud gradually Connection Options AWS Connectivity 1. Site-to...
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10.2K |
| 2034 | researchwrite | yuan1z0825/nature-skills |
researchwrite — proposal-first 科研写作 pipeline 受 autonovel(状态机+打分)、professor(动态专家)、brainstorming(入口追问)、anti-AI-writing(语言清理)启发的科研写作状态机。 不是通用"帮我写论文"prompt。 核心原则 证据先于文字 — 起草前必须建立或读取 research_canon 和 evidence_table 论证先于章节 — 写正文前必须完成 argument_map 契约先于段落 — 每节需要 purpose / allowed claims / forbidden claims / inputs / validation 范围先于完备 — 如果是分阶段写作,先锁定阶段边界 动态专家,不设固定池 — 用 professor 按失败模式召唤对应专家 内容先于语言 — 诊断科学逻辑后再做 anti-slop / 语言打磨 不自动升级事实 — 永远不把 "may indicate" 改成 "proves",除非有证据支撑 删除胜于解释 — 当某主张不可行,直接删除。正文干净,解释留...
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| 2035 | limrun-ios-simulator | limrun-inc/skills |
Limrun iOS Simulator Interact with an app running on a Limrun cloud iOS simulator, from any environment (Linux, Windows, macOS, VM, container). This skill is build-agnostic: it assumes the app was already built and installed by a build skill ( limrun-xcode-bazel for Bazel, limrun-xcode for xcodebuild). Keep build concerns in those skills; this one is about driving the running simulator. Never use local Xcode, local simulators, or local macOS tools. Auth and CLI Install if needed: npm install --g...
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10.2K |
| 2036 | limrun-detox-testing | limrun-inc/skills |
Limrun Detox Use this for Detox runtime work on Limrun iOS. Keep build concerns separate unless the user explicitly asks for a native build. Components Tester: local Node/Jest/Detox process. Mediator: detox run-server , usually local to the agent machine. App client: injected by limulator through lim ios launch-app --runtime detox . CLI Flow Check current help before running commands you have not used in this session: lim ios reverse --help lim ios launch-app --help Show more Installs 744 Reposi...
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10.2K |
| 2037 | limrun-expo-development | limrun-inc/skills |
Developing Expo Apps on Limrun Use this skill for Expo / React Native-specific setup and dev-client iteration. Use the generic Limrun iOS skill for command details, simulator interaction, screenshots, recordings, cleanup, and non-Expo iOS workflows. All iOS builds and simulator operations must run on Limrun. Do not use local Xcode, local simulators, or local macOS build tools. Expo Readiness Before changing Expo dependencies or app config, check the app's Expo SDK version and use the matching Ex...
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10.2K |
| 2038 | limrun-xcode | limrun-inc/skills |
Remote Xcode build Build Apple projects on Limrun's remote Xcode, from any environment (Linux, Windows, macOS, VM, container). lim xcode build syncs your sources to a remote Xcode instance, builds there, and (when a simulator is attached) installs and relaunches the app. Never fall back to local Xcode, local simulators, or local build tools. Your job doesn't end at a green build: get the app running, verify it works, and iterate until the user is satisfied. For driving the app once it's running ...
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| 2039 | genshijin | interfacex-co-jp/genshijin |
原始人のように簡潔に返答せよ。技術的中身はすべて残す。無駄だけ消す。 デフォルト: 通常 。切替: /genshijin 丁寧|通常|極限 永続性 毎レスポンス有効。多ターン経過後も敬語回帰・フィラー漂流 禁止。 不明時も維持。解除条件のみ: 「原始人やめて」「通常モード」。 他プラグインが毎ターンスタイル指示を注入する環境でもレベルは固定。 ルール Show more Installs 778 Repository interfacex-co-j…enshijin GitHub Stars 270 First Seen Apr 7, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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10.2K |
| 2040 | nature-literature-pipeline | yuan1z0825/nature-skills |
Nature Literature Pipeline A complete, production-tested automated literature pipeline. Not just "search for papers" — it's a structured engine that scores, classifies, reads, delivers, and archives research papers daily. What It Does Show more Installs 786 Repository yuan1z0825/nature-skills GitHub Stars 29.5K First Seen Jun 30, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Warn
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10.2K |
| 2041 | happyhorse | 101-skills/superpowers |
Install the belt CLI skill: npx skills add belt-sh/cli HappyHorse 1.0 Video Generation Generate and edit physically realistic videos with Alibaba's HappyHorse 1.0 models via inference.sh CLI. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login belt app run alibaba/happyhorse-1-0-t2v --input '{"prompt": "a horse galloping across a sunlit meadow"}' HappyHorse Models Show more Installs 2.6K Repository 101-skills/superpowers First Seen Aug 31, 2026 Security Audits Gen Age...
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| 2042 | limrun-xcode-bazel | limrun-inc/skills |
Bazel iOS builds on Limrun RBE Build Bazel Apple projects on Limrun's remote Mac workers — from any environment (Linux, Windows, macOS, VM, container), no local Xcode. lim xcode rbe brings up a remote RBE stack, tunnels it to a local port, and writes a .limrun/ config so bazelisk build --config=limrun runs Apple actions remotely. Never fall back to local Xcode or build tools. Auth and CLI Install if needed: npm install --global lim . Auth is lim login or LIM_API_KEY (may be set outside the proje...
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| 2043 | deployment-patterns | affaan-m/ecc |
Deployment Patterns Production deployment workflows and CI/CD best practices. When to Activate Setting up CI/CD pipelines Dockerizing an application Planning deployment strategy (blue-green, canary, rolling) Implementing health checks and readiness probes Preparing for a production release Configuring environment-specific settings Deployment Strategies Rolling Deployment (Default) Replace instances gradually — old and new versions run simultaneously during rollout. Show more Installs 1.6K Reposi...
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| 2044 | dbs-standard-answer | dontbesilent2025/dbskill |
dbs-standard-answer:历史同构与标准答案研究 你的任务:先把用户的现实困境压缩成一个可比较的「结构指纹」,再从历史中寻找同构案例。通过成功案例、失败案例和反例的交叉比较,判断过去是否形成了可复用的标准答案,以及这个答案在用户处境中的适用条件。 这里的「标准答案」指多次独立出现、能解释结果差异、适用条件清楚的应对机制。它可以是成熟共识、条件性答案,也可以是「目前没有统一答案」。 与其他 skill 的边界 用户真正要做的事 使用 skill 找一个今天可以模仿、学习或竞争的对象 /dbs-benchmark 诊断当前业务的矛盾、瓶颈和优先级 /dbs-diagnosis 让不同思想人物分别发表意见 /dbs-chatroom 理解某个理论或知识 /dbs-learning 从历史同构案例中提炼重复解法和边界 /dbs-standard-answer 用户同时要求历史定位与个性化行动方案时,先完成本 skill。历史研究结束后,把已验证机制、适用条件、证据强度和失效边界写进本轮结论;用户还要继续推进时,交回 /dbs 根据当前目标选择下一步。不要在历史证据形成前直接给用户...
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| 2045 | gpt-image | 101-skills/superpowers |
Install the belt CLI skill: npx skills add belt-sh/cli GPT-Image-2 Generate and edit images with OpenAI's GPT-Image-2 via inference.sh CLI. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login belt app run openai/gpt-image-2 --input '{"prompt": "a cat astronaut floating in space"}' Capabilities Show more Installs 2.6K Repository 101-skills/superpowers First Seen Aug 31, 2026 Security Audits Gen Agent Trust Hub Pass Socket Warn Snyk Pass
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| 2046 | p-image | 101-skills/superpowers |
Pruna P-Image Generation Generate images with Pruna's optimized P-Image models via inference.sh CLI. Quick Start Requires inference.sh CLI ( infsh ). Get installation instructions: npx skills add inference-sh/skills@agent-tools infsh login infsh app run pruna/p-image --input '{"prompt": "a futuristic cityscape at sunset"}' P-Image Models Pruna optimizes AI models for speed without sacrificing quality. Model App ID Best For P-Image pruna/p-image Fast text-to-image, multiple aspect ratios P-Image-...
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| 2047 | create-architectural-decision-record | github/awesome-copilot |
Create Architectural Decision Record Create an ADR document for ${input:DecisionTitle} using structured formatting optimized for AI consumption and human readability. Inputs Context : ${input:Context} Decision : ${input:Decision} Alternatives : ${input:Alternatives} Stakeholders : ${input:Stakeholders} Input Validation If any of the required inputs are not provided or cannot be determined from the conversation history, ask the user to provide the missing information before proceeding with ADR ge...
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| 2048 | codebase-onboarding | affaan-m/ecc |
Codebase Onboarding Systematically analyze an unfamiliar codebase and produce a structured onboarding guide. Designed for developers joining a new project or setting up Claude Code in an existing repo for the first time. When to Use First time opening a project with Claude Code Joining a new team or repository User asks "help me understand this codebase" User asks to generate a CLAUDE.md for a project User says "onboard me" or "walk me through this repo" How It Works Phase 1: Reconnaissance Gath...
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| 2049 | turborepo-caching | wshobson/agents |
Turborepo Caching Production patterns for Turborepo build optimization. When to Use This Skill Setting up new Turborepo projects Configuring build pipelines Implementing remote caching Optimizing CI/CD performance Migrating from other monorepo tools Debugging cache misses Core Concepts 1. Turborepo Architecture Workspace Root/ ├── apps/ │ ├── web/ │ │ └── package.json │ └── docs/ │ └── package.json ├── packages/ │ ├── ui/ │ │ └── package.json │ └── config/ │ └── pac...
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| 2050 | agentic-workflow | supercent-io/skills-template |
AI Agent Workflow (Workflow & Productivity) When to use this skill Optimize everyday AI agent work Integrate Git/GitHub workflows Use MCP servers Manage and recover sessions Apply productivity techniques 1. Key commands by agent Claude Code commands Command Function When to use /init Auto-generate a CLAUDE.md draft Start a new project /usage Show token usage/reset time Start of every session /clear Clear conversation history When context is polluted; start a new task /context Context window X-Ra...
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10.1K |