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概要と使いどころ
Manage persistent memory for autonomous coding. Use when storing/retrieving knowledge, managing Graphiti integration, persisting learnings, or accessing episodic memory.
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。
Native Linear integration using internal tracker tools. Supports issue querying, state transitions, and audit logging.
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。
Deep review — random exploration + cross-agent review, alternating. Finds integration bugs that self-review misses. Run every 30–60 min during active implementation.
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。
Orchestrate PFC2D/PFC3D 5.0 asphalt-mixture case handoff, specimen generation, fistPkg26 integration, Burger calibration, Marshall or rutting tests, validation, and reproducible delivery; use whenever a user mentions PFC5 asphalt, AC mixtures, fistPkg, Marshall, wheel tracking, or rutting.
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 Transaction Cost Economics (Williamson, 1975, 1985) to analyze governance structure choices — market, hybrid, or hierarchy — based on transaction characteristics. Use this skill when the user needs to decide make-or-buy, evaluate outsourcing vs vertical integration, design governance mechanisms for inter-firm relationships, or when they ask 'should we build this in-house or outsource', 'why do firms vertically integrate', or 'how should we structure this partnership'.".
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 the TPACK framework to evaluate and design technology-integrated instruction at the intersection of technological, pedagogical, and content knowledge. Use this skill when the user needs to assess teacher readiness for technology integration, design professional development for ed-tech, or evaluate whether technology use is pedagogically grounded — even if they say 'how to integrate technology in teaching', 'ed-tech evaluation', or 'teacher technology competency'.".
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。
"Habitual Domain (HD) theory by Taiwanese scholar P.L. Yu (游伯龍, 1977) — integrates four domains (potential/actual/reachable/activated), eight general hypotheses, seven-layer decision structure, and nine HD-expansion tools to analyze decision blind spots, break cognitive inertia, and support cross-domain integration. Use for diagnosing why alternatives are invisible, decision paralysis, breaking cognitive frames, or explaining perception gaps between people. Triggers: 『思維框架』『打破盲點』『創新思考』『決策盲區』『跨域整合』『游伯龍』『習慣領域』『HD 理論』『七層決策』『四領域』『八大通性』『P.L. Yu』. Especially for NYCU EMBA HD course, 政大科管所, 中山企管系 decision-analysis/innovation/leadership courses. Taiwan-origin theory cited in J. Optimization Theory, Theory & Decision, Human Systems Management.".
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。
"Design and conduct mixed methods research using convergent, explanatory sequential, or exploratory sequential strategies with genuine integration of qualitative and quantitative strands. Use this skill when the user needs to choose a mixed methods design, integrate qualitative and quantitative data at design, methods, or interpretation levels, justify mixing on pragmatist grounds, or when they ask 'which mixed methods design should I use', 'how do I integrate qual and quant findings', or 'is running both qual and quant enough to be mixed methods'.".
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。
Split independent work across parallel agents with explicit boundaries and a parent integration review. Use only when user allows subagents and tasks do not share mutable files.
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。
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
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。
"Customer relationship management strategy — integrated framework with six pillars: customer segmentation (RFM/CLV), journey orchestration (cross-channel), CDP technology stack, loyalty-program design, B2B key-account management (KAM), and CRM organization/governance. Use for VIP program design, membership-system decision, retail/ecommerce/B2B customer strategy, CDP buy-vs-build, marketing-automation adoption, or key-customer churn. Triggers: 『CRM 系統』『會員經營』『客戶分級』『大客戶策略』『CDP』『行銷自動化』『客戶生命週期』『VIP 方案』『顧客忠誠』『RFM』『CLV』『KAM』『Journey Orchestration』. For 師大 EMBA CRM, 政大 ecommerce, 中山 marketing cases. Complements Asgard `biz-cac-ltv` (tactics) and `biz-customer-journey` (single method) with the strategic integration layer.".
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。
Use this skill for anything Jx — the Python/Jinja2 component library. Covers BOTH (a) library mechanics and integration AND (b) authoring production-ready UI components. Trigger this skill on any mention of Jx, `.jx` files, "Jinja components" in a Python web app context, or requests to build/create UI components for such an app.
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。
Execute test suites with proper configuration, parallel execution, and detailed reporting. Use when running unit tests, integration tests, or full test suites.
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。
Use when planning, drafting, revising, compressing, or auditing conference rebuttals and author responses in OpenReview Markdown or PDF. Supports exact reviewer mapping, evidence and experiment integration, guided risk decisions, venue-format validation, and blind reviewer/AC audits.
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。
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
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。
Evaluate and phase MCP adoption with a bias toward the smallest set of integrations that materially improve engineering work.
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。
Break complex work into bounded Codex delegation tasks with clear ownership, expected outputs, and integration checkpoints.
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。
Configure, diagnose, or optimize the persistent OpenClaw fleet, native CLI routing, skill loading, run evidence, and context recovery. Use for orchestration operations; product implementation uses its own relevant skills.
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。
Test Model Context Protocol (MCP) servers and tool-calling systems for security vulnerabilities including tool injection, parameter manipulation, privilege escalation, and data exfiltration through AI agent tool interfaces. Use this skill when assessing MCP server implementations, AI agent tool integrations, or any system that exposes tools to language models. Covers tool confusion attacks, cross-tool exploitation, and MCP server hardening assessment.
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。
Integrate Kaido (Caido) proxy with Claude Code CLI for automated HTTP interception, request replay, and vulnerability scanning. Based on Critical Thinking Ep. 166.
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。
White-box source code security review structured around OWASP ASVS 5.0 (427 verification requirements across 16 chapters). Reads and understands application source code to build a security-aware knowledge base that enriches all downstream skills. Covers: tech stack identification, route/endpoint mapping, authentication and authorization architecture, dangerous function patterns, source-to-sink data flow tracing, IaC review, dependency analysis, ASVS compliance mapping, and LLM integration security (prompt injection, tool abuse, output handling, RAG poisoning, MCP server patterns). When LLM/AI framework usage is detected, automatically reviews OWASP LLM Top 10 patterns from source code and chains into /ai-redteam with white-box context for live endpoint testing. Chains into /pentester, /threat-modeling, /web-exploit, /api-security, /cloud-security, /analyze-cve, /credential-audit, and /ai-redteam — providing white-box context that transforms black-box testing into targeted, informed assessment.
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。
Master Burp Suite Professional for comprehensive web application security testing. Use this skill when performing manual web application assessments with Burp Suite including proxy interception, Scanner automation, Intruder attacks, Repeater analysis, and extension integration. Covers advanced techniques like match-and-replace rules, macro authentication, Collaborator for OOB testing, and Turbo Intruder for high-speed fuzzing.
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。
Build a full feature in this Flutter repository that includes backend or storage data flow: read API schema, create DTOs, map DTOs to entities, add Riverpod use cases, connect feature state, and render UI data. Use when a task goes beyond a screen and needs real data 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。
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Interpreter's capabilities with specialized knowledge, workflows, or tool integrations.
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。