5,250 件 ・ 関連度順
概要と使いどころ
Book lawyer services through Lokuli MCP. Use when user needs to find and book lawyer. Triggers on requests like "book a lawyer", "find lawyer near me", or any lawyer service request.
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。
法国法领域的法律助理专家。法律研究、法律咨询、法律文书起草、反论证、合同与文件分析、法律动态跟踪、参考文献核验与统一。生成 Word 文档（computer use）或结构化的对话式答复。MCP：OpenLegi、Themia、LegalDataHunter。任何法律问题、任何法国法概念（合同、责任、判例、民法典、法院、损害赔偿）、任何关于欧盟法、欧洲法院（CJUE）或欧洲人权法院（CEDH）的问题，以及任何法国法律参考文献核验或统一的请求，均触发本技能。
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。
中国APP个人信息保护合规检查技能。面向公司法务、数据合规律师或合规顾问，对移动应用程序（APP）开展完整的个人信息保护合规评审，可直接面向业务部门交付合规审查报告与整改清单。采用"合规事实查明 + 声明一致性核验"两阶段审查方法论，覆盖11大合规模块53检查项，法规依据通过运行时检测的MCP后端（北大法宝/华宇元典）实时核验。触发关键词：APP合规检查、个人信息保护合规、隐私政策审查、APP合规评审、数据合规审查、移动应用合规、SDK合规、权限合规、个人信息保护法合规、APP隐私合规检测、APP整改。
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。
交互式广告合规审查助手（广告合规交互式审查）。通过四步提问收集广告信息，自动进行八大维度风险识别（绝对化用语、虚假宣传、禁止性内容、比较广告、未成年人保护、前置审批、法定标识、行业特殊合规），调用华宇元典 MCP 检索法规案例，量化处罚风险，最终输出结构化的 Word 审查报告。当用户提到广告审查、广告合规、广告文案审核、广告风险排查、广告法合规、违禁词检查、广告上线前审查等场景时使用本技能。
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。
Prepare for Anthropic-specific technical interviews covering Constitutional AI, RLHF, interpretability, scaling laws, MCP, agentic systems, and AI safety. Activate on "anthropic interview", "constitutional AI prep", "alignment interview", "safety interview", "RLHF opinion", "interpretability prep", "anthropic technical". NOT for general ML interview prep, system design interviews, coding challenges, or behavioral interview practice.
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。
Read-first Figma gateway via Figma MCP: analyze designs, implement 1-3 screens, extract tokens, produce Evidence Packet. Advanced ops gated on explicit intent. Use for 'figma', 'design tokens'.
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 a problem requires structured step-by-step reasoning before acting. Prevents jumping to conclusions or guessing root causes without evidence. Triggers on complex debugging, multi-step analysis, hypothesis verification, or when mk:fix invokes diagnosis phase. NOT for being stuck on approach (too many implementations, forced assumptions, innovation block) — use mk:problem-solving instead.
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。
Ticket/PRD intake: product area classification, completeness scoring, RCA, technical assessment. Works with Jira (via mk:jira-issue / jira-as), Linear (via MCP), GitHub (via gh CLI), or manual paste. Triggers: 'analyze ticket', 'intake PRD', 'triage issue', 'classify ticket', 'check ticket'.
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。
Read-only audit of `.claude/` structural overhead. Reports prioritized "remove X save Y tokens" recommendations against the model context window. NOT for monetary cost tracking — that's /mk:budget. NOT for transcript size monitoring — long-session continuity defers to Claude Code native compaction. NOT for runtime context decisions (what to read, when to compact) — see mk:context-engineering. Use when planning to add context capacity, diagnosing perceived slowdowns, or auditing health.
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 the user asks about website analytics, traffic, visitors, page views, referrers, conversions, goals, or mentions "fusionaly". Answers from a self-hosted Fusionaly instance through its MCP tools (or its SQL API), in plain English with numbers.
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。
Semble (MinishLab) MCP wrapper — semantic code search via embeddings (98% token reduction vs grep+read, NDCG@10=0.854)
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。
Cross-session Claude Code instance messaging via claude-peers-mcp broker
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。
PostToolUse hook that compresses Playwright MCP tool output using Haiku summarization — Layer 4 of the token defense stack
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。
code-review-graph (CRG) MCP wrapper — token-efficient context retrieval via AST knowledge graph. Exposes 4 core tools from CRG.
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。
Look up how Claude Code itself works — hooks, skills, subagents, MCP, plugins, settings — from the official docs, so answers come from the current spec instead of 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。
Apply when creating, modifying, or reviewing any Rembric agent plugin. Triggers on changes under `apps/plugin/`, on new clients added alongside Claude Code / Codex CLI / Hermes Agent / opencode / Pi, on edits to `apps/plugin/mcp-bridge/`, `apps/plugin/bin/rembric-plugin-core.mjs`, per-client manifest changes, or plugin install/uninstall scripts. End-to-end validation against a local dev server (`pnpm run dev`, host Next.js on :3000) is mandatory whenever local testing is feasible.
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。
Verify Next.js runtime behavior after editing app code. Use this skill to confirm a change actually works in a running app — not just that it compiles or type-checks. Combines /_next/mcp (Next.js's view) with agent-browser (the browser's view). Requires a running `next dev`.
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。
Implements multiplicity control for confirmatory clinical trials using graphical procedures (Bretz-Maurer-Hommel), gatekeeping (parallel, serial, mixed), Hochberg/Hommel/Holm with PRDS, and the closed-testing principle (Marcus-Peritz-Gabriel; Goeman 2021 admissibility). Covers FDA Multiple Endpoints Final Guidance (October 2022), graphical procedures via R gMCP, primary + key-secondary + subgroup hierarchies, and FWER vs FDR distinction. Use when designing the multiplicity strategy for confirmatory trials with multiple primary or key secondary endpoints.
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。
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.
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。
Collection of AWS development skills covering CDK infrastructure as code, cost optimization, and serverless/event-driven architectures with integrated MCP servers.
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 provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security 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。
Run an org-team workflow — a flat pod of up to four peer Claude Code sessions claims lane-tagged slices of an approved spec over the baseline MCP channel and implements them concurrently, each in its own git worktree. Each peer DECIDES its own in-lane implementation choices in its own main context (Article X); only un-decidable or cross-lane forks escalate peer→lead→human (yield_fork for task-bound forks, ask_lead for free-form queries). Opt-in and OFF by default (velocity.org_mode.enabled). Graduates the retired sprint-dispatch prototype into the constitutionally-sanctioned org-team model (Article X — Multi-session coordinated workflows). Requires git.
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。
Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should 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。
Drift check between the baseline implementation on disk and the claims in `docs/init/seed.md` + cross-references in CLAUDE.md, README.md, and the rendered docs site. Verifies hook/agent/skill/command names + counts, settings.json wiring, project.json key presence, .mcp.json servers, vendored license files, and helper script presence. Exit 0 PASS / 1 FAIL — suitable for CI. Read-only; safe to invoke any time.
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。