1.2万 件 ・ 関連度順
概要と使いどころ
Django access control and IDOR security review. Use when reviewing Django views, DRF viewsets, ORM queries, or any Python/Django code handling user authorization. Trigger keywords: "IDOR", "access control", "authorization", "Django permissions", "object permissions", "tenant isolation", "broken access".
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。
When the user wants to set up, optimize, or manage Google Ads campaigns. Also use when the user mentions "Google Ads," "Google Search Ads," "PPC," "SEM," "PMF testing with ads," "test product-market fit," "Responsive Search Ads," "RSA," "Performance Max," "Quality Score," "keyword bidding," or "Google Display/YouTube ads." For paid mix, use paid-ads-strategy.
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。
Designing quizzes, personality assessments, and recommendation tools that segment users into actionable categories rather than generating clicks for clicks' sake. Question architecture, scoring algorithms, result categorization, recommendation mapping, lead capture integration. Honest about clickbait-quiz (engagement only), vanity-result (entertaining, not useful), and actionable-segmentation (genuine categorization that drives next-step recommendations) patterns. Triggers on quiz, assessment, personality test, recommendation tool, scorecard, diagnostic, fit evaluator, what-type-of-X-are-you, persona quiz. Also triggers when an audience needs a categorization-driven lead magnet, when a vanity quiz is producing engagement but no qualified leads, or when an assessment is being scoped for the first 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。
This skill should be used when the user asks to "audit Google Workspace", "check GWS security settings", "set up Google Workspace authentication", "diagnose Workspace issues", or "review Google admin configurations".
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 NIST AI Risk Management Framework (NIST AI 100-1 + the NIST AI 600-1 Generative AI Profile) to a specific AI system, governance question, or impact assessment. Three modes — consult, governance plan, full assessment — all cite Subcategories (`GOVERN 1.1`) and Profile Action IDs (`GV-1.2-001`) verbatim. Use when the user mentions the AI RMF, NIST RMF, NIST AI 100-1, NIST AI 600-1, GenAI Profile, the four functions (Govern / Map / Measure / Manage), the trustworthy AI characteristics, the 12 GAI risks (confabulation, harmful bias, information integrity, CBRN, data privacy, etc.), or asks "what does NIST say about X" for an AI system.
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 wants to learn Godot while building — teaching mode that explains the concept, the editor setup, and what to verify, instead of just delivering code. Triggers on "teach me", "explain as we go", "I'm learning Godot", "guide me", "walk me through", "help me understand".
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。
topGO package provides tools for testing GO terms while accounting for the topology of the GO graph. Different test statistics and different methods for eliminating local similarities and dependencies between GO terms can be implemented and
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。
Expert knowledge for Azure US Government development including decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when choosing Azure Gov vs global, meeting FedRAMP/DoD needs, using SACA patterns, Gov CI/CD, or Gov marketplace, and other Azure US Government related development tasks. Not for Azure Local (use azure-local), Azure Networking (use azure-networking), Azure Security (use azure-security), Azure Policy (use azure-policy).
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。
Dung khi goi ban chua du hap dan va can dong goi lai — value stack, bonus, bao hanh va dao nguoc rui ro, ly do gap rut co that, cau truc upsell va downsell, dong goi dich vu thanh san pham ban duoc. Kich hoat khi user nhac 'thiet ke offer', 'offer khong convert', 'value stack', 'bonus stack', 'guarantee', 'risk reversal', 'upsell downsell', 'goi coaching', 'khach thay dat qua', 'ban gi thi khach moi mua'. Khong dung cho — chon con so gia va bac goi thi dung skill 17-pricing-strategy; offer MIEN PHI de doi thong tin lien he thi dung skill 70-lead-magnet; viet copy ban offer da chot thi dung skill 05-copy-quang-cao.
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 developer toolchain — gopls LSP diagnostics, linting, formatting, and vet. Use when setting up Go tooling, running linters, or integrating gopls with 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。
Write safe concurrent Go code with goroutines, channels, and context. Use when implementing concurrency with goroutines, channels, or context in Go.
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。
薪资谈判教练。模拟前 FAANG 招聘官 + 薪酬策略师，把「拿到 offer → 签字」这一步拆成 6 个动作：Offer 诊断（Base / RSU / Sign-on / Bonus 每项标 LOW/MED/HIGH leverage）→ 谈判杠杆图（我的力量 / 招聘官的力量 / 弱点）→ 策略排序（Base → RSU → Sign-on → Bonus，按 context 调整）→ 脚本生成（电话 / 邮件 / 招聘官回话模拟）→ Counter 模拟（"这是最好的了" / "预算固定" / "会考虑其他候选人" 三种硬回答）→ 最终建议（要什么 / 别推什么 / 何时停）。三步：贴 offer → 说 context（有没有竞争 offer / deadline / 级别 / 风险偏好 / 最看重什么）→ 自动生成并打开一份 HTML Negotiation Playbook。关键词：salary negotiation, offer negotiation, comp negotiation, RSU, sign-on, base salary, counter offer, competing offer, TC, total comp, 薪资谈判, offer 谈判, 谈薪, 反 offer, 加薪, 谈 package, levels.fyi, 招聘官话术, recruiter script。
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。
使用火山引擎 MongoDB Skill，帮助用户完成 MongoDB 相关的实例管理、备份恢复、参数等运维任务，可直接调用 uv run ./scripts/call_mongodb.py 脚本获取实时结果。当需要访问管理在火山引擎 MongoDB 实例详细信息时，此 Skill 可以提供方便的接口。
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 reviewing Java enterprise evidence for MiFID II investment services, investment activities, client classification, suitability, appropriateness, order-handling evidence, best-execution evidence, algorithmic-trading governance evidence, market-access governance evidence, transaction evidence, record keeping, monitoring, or compliance-owner handoff. This should trigger for requests such as Review a Java investment-service platform for MiFID II evidence; Assess suitability, appropriateness, order-handling evidence, or best-execution evidence; Document audit, monitoring, or clock-synchronisation gaps for algorithmic-trading governance; Assess investment-service engineering evidence before production release. Part of Plinth Toolkit
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 NIST AI Risk Management Framework (AI RMF 1.0) and adjacent guidance to AI / ML systems — model lifecycle governance, fairness and bias evaluation, robustness, transparency, accountability, third-party model risk, monitoring for drift, and AI incident response. Broader than prompt-injection (which is the security slice). Use when the user mentions 'AI risk,' 'AI governance,' 'NIST AI RMF,' 'AI compliance,' 'ML governance,' 'model risk management,' 'AI fairness,' 'AI bias,' 'algorithmic accountability,' 'AI Bill of Rights,' 'EU AI Act,' 'AI transparency,' 'model card,' 'AI red team,' 'AI safety,' 'responsible AI,' 'model drift,' 'concept drift,' 'AI monitoring,' 'AI incident,' or needs to assess or govern an AI / ML system.
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。
Configuring Google Consent Mode v2 for privacy-compliant measurement and advertising. Covers default and update commands, consent state mapping to GA4 and Google Ads, conversion modeling with cookieless pings, and EEA requirements effective March 2024.
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 or revise Godot UI from an approved design, separated art, or a visual reference when scene structure, gameplay binding, and runtime visual verification all matter. Use for complete Godot UI integration; use ordinary Godot UI guidance for isolated node or layout questions that do not require an end-to-end visual workflow.
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。
Fix Gorse 0.5.x recommendation engine silently disabled or degraded due to config incompatibility with 0.4. Use when: (1) Gorse 0.5 recommendations are poor/empty despite having data, (2) collaborative filtering appears disabled even though [recommend.collaborative] section exists, (3) migrating Gorse config from 0.4 to 0.5, (4) old config keys like [recommend.popular], [recommend.neighbors], [recommend.online], [recommend.offline] are being used with Gorse 0.5. Critical: type="mf" must be explicitly set in [recommend.collaborative] or CF is silently disabled (default "none").
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。
Fix Gorse worker pods stuck in not-ready state due to failing health probes. Use when: (1) gorse-worker pods show 0/1 Ready but Running status, (2) Readiness probe using pgrep fails silently, (3) Worker logs show normal operation but pod never becomes ready, (4) Using zhenghaoz/gorse-worker image. The gorse-worker container is a minimal image without pgrep or ps commands, so exec-based probes using these fail.
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。
Fix Gorse recommendation engine pods crashing with "user: unknown userid 65532" error. Use when: (1) Gorse master/server/worker pods show CrashLoopBackOff or Error status, (2) Logs show "failed to get user directory" with unknown userid, (3) Running gorse containers with runAsNonRoot security context and custom UID. The gorse images call os.UserHomeDir() at startup which requires the UID to exist in /etc/passwd.
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。
Fix ArgoCD ExternalSecret deployment failing with "namespace X is not permitted in project Y". Use when: (1) ExternalSecret shows OutOfSync in ArgoCD but won't sync, (2) ArgoCD application status shows "namespace X is not permitted in project 'infrastructure'", (3) ExternalSecret targets a namespace managed by a different ArgoCD project, (4) Using apps-of-apps pattern with separate infrastructure and application projects.
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。
Convert pseudocode, algorithm descriptions, or specifications into complete, executable Python code. Handles natural language descriptions, structured pseudocode, and formal algorithm specifications. Generates production-ready code with type hints, docstrings, error handling, and test cases. Use when users need to (1) convert pseudocode to Python, (2) implement algorithms from descriptions, (3) translate algorithm specifications to code, (4) generate Python implementations from textbook pseudocode, or (5) create executable code from high-level algorithm designs.
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。
Review a Go design spec before implementation begins - dispatch a subagent that checks a design doc for completeness, consistency, and idiomatic Go (simplicity, small consumer-defined interfaces, explicit wrapped errors, context propagation) plus Cobra/Viper conventions where applicable. Use when a user has a Go spec to review, asks "is this spec ready?", or is about to implement from a written design. Distilled from spf13/go-skills and adapted to this repo's conventions.
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。
Symfony UX Map for interactive maps with Leaflet or Google Maps in Symfony. Covers markers, polygons, polylines, circles, info windows, and LiveComponent integration. Use when displaying maps, placing markers, drawing shapes or routes, handling map events, building store locators, using custom tile layers, or making maps reactive with LiveComponent. Code triggers: <twig:ux:map />, Map(), Point(), Marker(), Polygon(), Polyline(), Circle(), InfoWindow(), MapOptionsInterface, ComponentWithMapTrait, fitBoundsToMarkers, ux:map:marker:before-create, ux:map:connect, SYMFONY_UX_MAP_DSN. Also trigger when the user asks "how to display a map", "how to add markers", "how to draw a polygon on a map", "how to handle map click events", "how to make a reactive map", "how to use Leaflet in Symfony", "how to use Google Maps in Symfony", "map not showing", "map has zero height". Do NOT trigger for SVG icons (use ux-icons) or general frontend interactivity (use stimulus).
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。