7,734 件 ・ 関連度順
概要と使いどころ
Electrical power distribution design for infrastructure: load calculations (NEC 220), conductor sizing (NEC 310.16), transformer/UPS/PDU selection, redundancy architectures (N through 2N+1), DC distribution, and voltage classes 120V-480V. Activates for electrical load calculations, conductor sizing, power equipment selection, data center power design, and redundancy architecture planning.
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。
Apply Redis data structure, caching, and pub/sub patterns. Use when integrating Redis into a service.
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。
Identify and annotate cloud cost implications of architectural decisions. Use when reviewing infrastructure changes or designing new services.
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。
Custom board bringup for Zephyr RTOS using Hardware Model v2 (HWMv2). Covers directory structure, board.yml metadata, core configuration files (Kconfig, defconfig, CMake), and revision management. Trigger when creating new board definitions or porting Zephyr to custom hardware.
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。
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
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。
Structured code review covering style, readability, and security concerns with actionable feedback. Use when reviewing pull requests or merge requests to identify issues and suggest improvements.
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。
Brutally honest code review in the style of Linus Torvalds, focusing on data structures, simplicity, and pragmatism. Use when you want critical, no-nonsense feedback that prioritizes engineering fundamentals over style preferences.
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。
CatColab Schemas - database schema modeling distinguishing entities (tables) from attributes (columns). Foundation for ACSets (Attributed C-Sets) and AlgebraicJulia data structures.
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。
Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.
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。
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task.
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。
Query ChEMBL's bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.
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。
Bengio's causal inference for AI: Interventional reasoning, counterfactuals, and System 2 deep learning. World models with causal structure.
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。
Botnet architecture taxonomy, detection techniques, and defensive analysis. Covers C2 topologies, DGA analysis, fast-flux detection, P2P overlay mapping, blockchain C2, and ML-based traffic fingerprinting. Defensive research for understanding and countering distributed malicious infrastructure.
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。
Coordinated botnet takedown methodologies — sinkholing, infrastructure mapping, legal frameworks, BGP intervention, and post-disruption analysis. Studies Operation Endgame, Badbox 2.0, and emerging blockchain C2 countermeasures. Defensive disruption for authorized law enforcement, CERT, and academic research contexts.
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。
Go-based security techniques from "Black Hat Go" extended with macOS, Cloud, Mobile, IoT, Supply Chain, API, Web3, AI/ML, Red Team, ATT&CK, and LLM chapters. 186 techniques, 36 tools, 33 defenses across 37 chapters. Includes adversarial bisimulation games with Ungar (order-dependent) and join-semilattice structures. AAIF-compatible multiplayer agent games for human-agent security exercises.
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。
Purpose: Standardize how stakpak designs and optimizes AWS architectures. Scope: Greenfield: design new infrastructure. Brownfield: analyze existing architectures and propose improvements.
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。
Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.
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。
Category-theoretic graph rewriting with DPO, SPO, and SqPO pushouts for C-Sets. Declarative transformation of acset data structures.
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。
ANIMA as limit construction over condensed skill applications. Formalizes prediction markets as belief ANIMAs, structure dishes as condensation media, and impact as equivalence class change. Use for understanding agency at maximum entropy, compositional world modeling, or applying Scholze-Clausen condensed mathematics to AI.
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。
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
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。
Query and explore the 2600: The Hacker Quarterly magazine archive (1984-present) via DuckDB. Provides structured access to 168+ issues covering hacker culture, security, privacy, telephony, and digital rights without loading full content into context.
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。
Attributed C-Sets as algebraic databases. Category-theoretic data structures generalizing graphs and dataframes with Gay.jl color integration.
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。
Bridge layer connecting the Agentic AI Foundation (AAIF) governance structure — Linux Foundation stewardship of MCP, goose, AGENTS.md — to the plurigrid/asi skill graph. Formalizes AAIF-compatible skill registration, IPSIE identity profiles, and the cross-protocol interoperability surface. Maps the AAIF platinum member ecosystem (AWS, Anthropic, Block, Bloomberg, Cloudflare, Google, Microsoft, OpenAI) to specific ASI skill integration points.
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。
用户要起草一条 X 短内容(推文/帖子)、不知道用什么结构或类型时;或问"怎么发一条教人用 XX 的帖""怎么排版推文能让更多人收藏""what structure should I use for a tweet / how to write a tutorial post"时。先按目标指标选四类型之一(故事→涨粉 / 列表→收藏 / 观点→互动 / 教程→忠诚),再用 Hook-Body-CTA 三段骨架起草;资源/工具类可套爆款公式(工具+场景+三步)。不适用于:已有草稿想检查五件套完备性(→x-five-piece-checklist)、想把公告腔改写成帮助式语言(→x-three-translations)、想按读者功能分类预测传播上限(→x-content-archetypes)、纯信息查询(如推文字数上限)。
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。