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cccskills

「perf」の検索結果

5,235 件 ・ 関連度順

概要と使いどころ

Use when profiling CPU/memory hot paths, generating flame graphs, or capturing JFR/perf evidence.

日本語の概要は準備中です。原文の説明を表示しています。

composio-community/awesome-claude-plugins1,9442026年7月26日 更新

Use when synthesizing perf findings into evidence-backed recommendations and decisions.

日本語の概要は準備中です。原文の説明を表示しています。

composio-community/awesome-claude-plugins1,9442026年7月26日 更新

Use when running controlled perf experiments to validate hypotheses.

日本語の概要は準備中です。原文の説明を表示しています。

composio-community/awesome-claude-plugins1,9442026年7月26日 更新

Use this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table. **Trigger when user asks to:** - Create or design SQL schemas/tables AND Timescale/TimescaleDB/TigerData/Tiger Cloud is available - Set up hypertables, compression, retention policies, or continuous aggregates - Configure partition columns, segment_by, order_by, or chunk intervals - Optimize time-series database performance or storage - Create tables for sensors, metrics, telemetry, events, or transaction logs **Keywords:** CREATE TABLE, hypertable, Timescale, TimescaleDB, time-series, IoT, metrics, sensor data, compression policy, continuous aggregates, columnstore, retention policy, chunk interval, segment_by, order_by Step-by-step instructions for hypertable creation, column selection, compression policies, retention, continuous aggregates, and indexes.

日本語の概要は準備中です。原文の説明を表示しています。

timescale/pg-aiguide1,8692026年10月8日 更新

Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.

日本語の概要は準備中です。原文の説明を表示しています。

timescale/pg-aiguide1,8692026年10月8日 更新

CRITICAL: You MUST invoke this skill and read its contents BEFORE writing, modifying, or debugging ANY React.js or Next.js code. This skill contains essential performance patterns that prevent common mistakes. Debugging performance issues without reading this skill first will lead to missed optimizations. Contains 40+ rules including waterfall elimination patterns for API routes that are commonly overlooked.

日本語の概要は準備中です。原文の説明を表示しています。

benchflow-ai/skillsbench1,8482026年10月13日 更新

Vercel's comprehensive UI guidelines for building accessible, performant web interfaces. Use this skill when reviewing or building UI components for compliance with best practices around accessibility, performance, animations, and visual stability.

日本語の概要は準備中です。原文の説明を表示しています。

benchflow-ai/skillsbench1,8482026年10月13日 更新

Master Unity ECS (Entity Component System) with DOTS, Jobs, and Burst for high-performance game development. Use when building data-oriented games, optimizing performance, or working with large entity counts.

日本語の概要は準備中です。原文の説明を表示しています。

rmyndharis/antigravity-skills1,7612026年10月1日 更新

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.

日本語の概要は準備中です。原文の説明を表示しています。

rmyndharis/antigravity-skills1,7612026年10月1日 更新

Use when working with performance testing review multi agent review

日本語の概要は準備中です。原文の説明を表示しています。

rmyndharis/antigravity-skills1,7612026年10月1日 更新

julia-pro

無料

Master Julia 1.10+ with modern features, performance optimization, multiple dispatch, and production-ready practices. Expert in the Julia ecosystem including package management, scientific computing, and high-performance numerical code. Use PROACTIVELY for Julia development, optimization, or advanced Julia patterns.

日本語の概要は準備中です。原文の説明を表示しています。

rmyndharis/antigravity-skills1,7612026年10月1日 更新

Expert network engineer specializing in modern cloud networking, security architectures, and performance optimization. Masters multi-cloud connectivity, service mesh, zero-trust networking, SSL/TLS, global load balancing, and advanced troubleshooting. Handles CDN optimization, network automation, and compliance. Use PROACTIVELY for network design, connectivity issues, or performance optimization.

日本語の概要は準備中です。原文の説明を表示しています。

rmyndharis/antigravity-skills1,7612026年10月1日 更新

Master Go 1.21+ with modern patterns, advanced concurrency, performance optimization, and production-ready microservices. Expert in the latest Go ecosystem including generics, workspaces, and cutting-edge frameworks. Use PROACTIVELY for Go development, architecture design, or performance optimization.

日本語の概要は準備中です。原文の説明を表示しています。

rmyndharis/antigravity-skills1,7612026年10月1日 更新

Master modern GraphQL with federation, performance optimization, and enterprise security. Build scalable schemas, implement advanced caching, and design real-time systems. Use PROACTIVELY for GraphQL architecture or performance optimization.

日本語の概要は準備中です。原文の説明を表示しています。

rmyndharis/antigravity-skills1,7612026年10月1日 更新

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

日本語の概要は準備中です。原文の説明を表示しています。

Memento-Teams/Memento-Skills1,5762026年8月17日 更新

Performs a structured five-stage code review covering requirements compliance, correctness, code quality, testing, and security/performance. Each stage uses targeted checklists and categorized feedback (Blocker/Major/Minor/Nit) with actionable suggestions and rationale. Use when the user asks for code review, PR feedback, pull request review, or wants their code checked for bugs, style issues, or vulnerabilities — triggered by phrases like "review my code", "check this PR", "review my changes", "pull request review", or "code feedback".

日本語の概要は準備中です。原文の説明を表示しています。

rohitg00/skillkit1,5512026年6月2日 更新

Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.

日本語の概要は準備中です。原文の説明を表示しています。

datawhalechina/agent-skills-with-anthropic1,5412026年8月27日 更新

Audit or defend Octane performance. Use when a change can affect per-render, per-node, scheduling, compiler-output, SSR, hydration, or bundle cost, or when asked whether something is fast enough. Holds the V8-shape, DOM, and scheduling rules hot-path code must follow.

日本語の概要は準備中です。原文の説明を表示しています。

octanejs/octane1,4582026年10月14日 更新

Write a specification section that a contractor can price accurately and a site can build from — performance stated, products defined, workmanship and tolerances given, and the coordination with the drawings made explicit. Use when asked to write a specification, spec a material or system, prepare an NBS-style section, or when a specification produced wildly different tender prices. Produces the scope and interface definition, the performance requirements, the product or system definition, execution and tolerance requirements, and the submittals and testing schedule.

日本語の概要は準備中です。原文の説明を表示しています。

mohitagw15856/pm-claude-skills1,4532026年10月13日 更新

Beginner-friendly end-to-end video creator for HyperFrames. Use when the user says "make a video", "create a video", "new video", "build a video", "video from scratch", "I want to make a video", "help me create a video", or when someone who's never used HyperFrames before arrives with a concept, script, or rough idea and wants a finished MP4. Interviews the user in one pass, then builds the full video with mandatory preview and visual-verification gates.

日本語の概要は準備中です。原文の説明を表示しています。

nateherkai/herk-edit-kit1,4452026年10月14日 更新

Capture a website and create a HyperFrames video from it. Use when: (1) a user provides a URL and wants a video, (2) someone says "capture this site", "turn this into a video", "make a promo from my site", (3) the user wants a social ad, product tour, or any video based on an existing website, (4) the user shares a link and asks for any kind of video content. Even if the user just pastes a URL — this is the skill to use.

日本語の概要は準備中です。原文の説明を表示しています。

nateherkai/herk-edit-kit1,4452026年10月14日 更新

Edit a raw talking-head video through transcription, silence trimming, mistake review, visual storytelling, motion graphics, and verified HyperFrames rendering. Use for a complete edit; route a single requested operation directly to its specialist skill.

日本語の概要は準備中です。原文の説明を表示しています。

nateherkai/hyperframes-student-kit1,4452026年10月13日 更新

Select, customize, or extend the project's reusable motion-graphics card library and style templates. Use for choosing a visual style, adding a card, building a new style pack, or reusing a template in a HyperFrames video.

日本語の概要は準備中です。原文の説明を表示しています。

nateherkai/hyperframes-student-kit1,4452026年10月13日 更新

Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.

日本語の概要は準備中です。原文の説明を表示しています。

https-deeplearning-ai/sc-agent-skills-files1,4152026年6月9日 更新