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このリポジトリの skills
SkillsMP は loulanyue/awesome-claude-notes から 656 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
loulanyue/awesome-claude-notes収集済み skill 656 件中 40 件を表示しています。
Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.
原文の言語: 英語
Pattern for progressively refining context retrieval to solve the subagent context problem
原文の言語: 英語
Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.
原文の言語: 英語
Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing.
原文の言語: 英語
JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.
原文の言語: 英語
Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.
原文の言語: 英語
iOS 26 Liquid Glass design system — dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.
原文の言語: 英語
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or…
原文の言語: 英語
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.
原文の言語: 英語
Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.
原文の言語: 英語
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.
原文の言語: 英語
Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.
原文の言語: 英語
Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.
原文の言語: 英語
Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.
原文の言語: 英語
Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.
原文の言語: 英語
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.
原文の言語: 英語
Example project-specific skill template based on a real production application.
原文の言語: 英語
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原文の言語: 英語
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.
原文の言語: 英語
RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
原文の言語: 英語
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
原文の言語: 英語
Scan skills to extract cross-cutting principles and distill them into rules — append, revise, or create new rule files
原文の言語: 英語
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
原文の言語: 英語
Kimlik doğrulama eklerken, kullanıcı girdisi işlerken, secret'larla çalışırken, API endpoint'leri oluştururken veya ödeme/hassas özellikler uygularken bu skill'i kullanın. Kapsamlı güvenlik kontrol listesi ve kalıplar sağlar.
原文の言語: トルコ語
Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.
原文の言語: 英語
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
原文の言語: 英語
Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage, eliminating data races by design.
原文の言語: 英語
Swift 6.2 Approachable Concurrency — single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.
原文の言語: 英語
Protocol-based dependency injection for testable Swift code — mock file system, network, and external APIs using focused protocols and Swift Testing.
原文の言語: 英語
SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.
原文の言語: 英語
Interactive agent picker for composing and dispatching parallel teams
原文の言語: 英語
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video,…
原文の言語: 英語
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments…
原文の言語: 英語
Translate visa application documents (images) to English and create a bilingual PDF with original and translation
原文の言語: 英語
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
原文の言語: 英語
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
原文の言語: 英語
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
原文の言語: 英語
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
原文の言語: 英語
Engineering operating model for teams where AI agents generate a large share of implementation output.
原文の言語: 英語
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.
原文の言語: 英語