「detection」の検索結果

Runs a full dead-end page audit for any website. Discovers all blog/content pages, detects which ones have zero outgoing links to any URL on the same domain, fetches keywords, clusters pages by topic, and generates 3 outgoing link suggestions per dead-end page with anchor text, placement guidance, and ready-to-paste context copy. Outputs a styled HTML report matching report-style-reference.html. Automatically detects site framework (Next.js, static, WordPress) and uses the correct detection method: RSC header for Next.js/Vercel sites, standard curl for static and traditional CMS sites. Trigger when a user provides a domain or URL and asks for a dead-end page audit, outgoing internal links audit, "which pages don't link out", "find pages with no internal links in the content", "pages that are link dead-ends", or any variation of finding pages that have zero outgoing links to the same domain. Always use this skill for dead-end page audits — never attempt the workflow without following every step here.

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。

基于阈值检测时间序列中的显著异常波动点。当需要找出指标异常波动日期、识别数据异动时调用。

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。

EXPERIMENTAL. Use when looking for meaningfully duplicated logic in a codebase, especially duplicate behavior hidden behind different names, different syntax, different control flow, or independently evolved implementations. Not for style issues, not for syntactic clone detection, and not for fixing what it finds.

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。

Generate cross-platform install scripts for any software or library — a standalone install.sh runnable via a curl/wget one-liner with OS, arch, and package manager detection. Don't use for Dockerfiles, CI/CD pipelines, or one-off shell scripts.

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 production-quality CLIs with language detection and a five-step approval-gated workflow. Use when wrapping an existing module or app. Don't use for GUI/TUI apps, web APIs, or one-off shell scripts.

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。

Install local-first security hardening: pre-commit secret detection, offline dependency scans, static analysis, reports, and gated free CI. Use when hardening repos or adding security hooks. Don't use for incident response or cloud security reviews.

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 and summarize text-based file types only. Prefer read_file for text formats; use execute_shell_command for type detection when needed. PDF/Office/images/archives are handled by other 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。

Suede Labs agent-team orchestrator: split complex work into coordinated lanes with explicit file ownership, WIP collision detection, quality gates, escalation thresholds, rollback plans, and handoffs that prove what shipped. Use when one shared change needs safe parallel ownership across builders and reviewers, when a lane map must be resolved before anyone opens a file, or when running a repeatable public-repository contribution program with issue scoring, atomic task leases, isolated worktrees, and explicit publication authority. NOT FOR: one repo change a bundled DAG can run end to end (use suede-graph-flo-xr); findings-only review of a diff (use suede-code-review) or an A-F ship grade (use suede-code-grader); CI, branch protection, or merge-gate wiring (use suede-ci-gate); branch and worktree setup on a stale mirror (a private Suede Labs companion, not in this pack).

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。

Не для обхода детекторов; не для текста, который тебе не принадлежит. Находит следы машинного текста в русском и объясняет их; переписывает только по явной просьбе; вердиктов об авторстве нет. Отвечает на просьбы вида «очеловечь», «убери гпт-шность», «звучит как нейросеть», «проверь на ИИ», «убери штампы», «убери канцелярит», «сделай живым», «вставка из чата», «копипаста из ChatGPT», contentReference, utm_source, невидимые символы, машинная типографика (40 regex-маркеров, у 38 полная запись доказательств). Finds machine-text traces in Russian and explains them; rewrites only on explicit request; no authorship detection verdict. Английский профиль: только артефакты/факты; исходный код не обрабатывается; юридические и художественные тексты — только детерминированная очистка артефактов. Демо: vladimir-human.github.io/humanizer-ru

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。

Browser automation, web scraping, E2E testing, and visual regression with Playwright. Covers 30+ patterns: login flows, form testing, responsive design checks, broken link validation, API mocking, data extraction, PDF generation, accessibility audits (axe-core), performance budgets (Lighthouse), visual diffing, multi-browser testing (Chromium/Firefox/WebKit), mobile emulation, infinite scroll, shadow DOM, iframes, file downloads, auth state reuse, cookie consent handling, WebSocket monitoring, console error detection, HAR export, trace viewer, Docker CI, GitHub Actions, and parallel sharding. Use when user asks to test a website, take screenshots, check responsive design, automate a browser task, scrape data, validate forms, check broken links, test login, audit accessibility, or measure page performance. Do NOT use for unit testing, API-only testing, or static analysis. Requires Node.js 18+.

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。

Performance profiling and optimization for web apps — Core Web Vitals (LCP, INP, CLS), Lighthouse audits, bundle analysis, backend profiling (CPU, memory, DB queries), N+1 detection, caching strategies (Redis, CDN, HTTP), and performance budgets. Use when user asks to improve performance, run Lighthouse audit, profile a Node.js app, optimize Core Web Vitals, reduce bundle size, or investigate slow response times. Do NOT use for database schema optimization (use db-sculptor), Docker image optimization (use docker), or CDN configuration.

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。

Audit and rewrite frontend UI to remove generic AI design patterns ("AI slop"), both the first-order defaults (purple gradients, Inter, a centered hero over three cards, untouched shadcn) and the second-order "tasteful AI" ones (cream with terracotta, near-black with acid green, all-caps mono chrome, one accented headline word, decorative 01/02/03). Use when asked to "de-slop a UI", "make a design look less AI-generated", "audit a page or component for AI design tells", "fix Claude/Codex-generated frontend that looks generic", or keep a multi-page site on one design system. Covers HTML/CSS and React/Tailwind/shadcn. Has a detection-only mode and a zero-dependency scanner (scripts/detect.mjs) for the code-certain tells.

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。

Home Assistant YAML configuration and automation. The most common skill for general HA questions. Covers automations, blueprints, scripts, scenes, template sensors, Lovelace dashboards, Mushroom cards, packages, helpers, presence detection, voice Assist, calendar automation, Jinja2 templates, notification patterns, energy monitoring, Matter devices, automation debugging and traces, dashboard sections view, and trigger-based template entities.

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。

Guides incident response from detection through postmortem. Use when designing on-call runbooks, triaging production incidents, writing status updates, or improving MTTD and MTTR.

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。

Route data-related requests to the right Monte Carlo skill or workflow. USE WHEN alerts, incidents, data broken, stale, coverage gaps, data quality, or any ambiguous data observability 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。

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

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。

Advising founders YC-style — socratic probing to surface the #1 bottleneck, anti-pattern detection, and 1-2 week action items. Not for brainstorming (Riff) or long-term scenarios (Helm).

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。

Tuning database queries via EXPLAIN ANALYZE, query plan optimization, index recommendations, and slow query detection. Not for schema/migrations (Schema) or non-DB performance (Bolt).

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 workflows and state machines. Use when state transition design, invalid transition detection, Saga patterns, or approval flow design is needed.

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。

Optimizing FinOps and cloud cost: IaC-based estimation, right-sizing, RI/SP recommendations, anomaly detection, budget alerts, AI/GPU workload economics. Use to forecast or cut cloud spend.

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 A/B tests: hypothesis docs, sample size, feature flags, significance analysis, CUPED, SRM detection, switchback experiments. Use when hypothesis validation is needed.

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。

Engineering privacy and data governance: PII detection, data flow mapping, consent patterns, GDPR/CCPA-compliant implementation, DPIA. Use when privacy-by-design is needed.

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 new skill agents via gap analysis, overlap detection, SKILL.md + reference generation, and Nexus integration. Not for task orchestration (Nexus) or format-only audits (Gauge).

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 and reviewing APIs: OpenAPI spec generation, versioning strategy, breaking change detection, REST/GraphQL best practices. Use for API design or OpenAPI specs.

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。