「signals」の検索結果

设计指标体系时使用。适用于北极星指标、AARRR 海盗模型、漏斗指标、GSM（Goals-Signals-Metrics）框架。帮助团队从业务目标出发，建立可量化、可追踪、可行动的指标体系。

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。

Odoo OWL frontend engineering guidance covering components, templates, reactivity, hooks, props, plugins, registries, debugging, assets, and OWL 1/2/3 migration. Use when working with Odoo frontend components, @odoo/owl, static/src JavaScript/XML templates, signals, proxy, props, t-on, t-ref, t-model, registries, plugins, or OWL migrations.

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。

Finds and compares 184,900 swimming spots worldwide (beaches, lakes, bathing places) with live water temperature, wind, UV and wave signals, local guides and source-backed activity providers, via the public BeachFinder MCP server.

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。

Auto-Editor is a command-line application that automatically edits video and audio by analyzing loudness, motion, and other signals to cut dead space. It exports to Premiere Pro, DaVinci Resolve, Final Cut Pro, ShotCut, and Kdenlive timelines.

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。

Assess a public HTTP(S) page before building browser automation, extraction, or an integration. Use this skill to collect bounded structural evidence, readiness signals, risk flags, acceptance tests, and remediation priorities without sending credentials or accessing private targets.

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 SEO analysis for any website or business type. Performs full site audits, single-page deep analysis, technical SEO checks (crawlability, indexability, Core Web Vitals with INP), schema markup detection/validation/generation, content quality assessment (E-E-A-T framework per Dec 2025 update extending to all competitive queries), image optimization, sitemap analysis, and Generative Engine Optimization (GEO) for AI Overviews, ChatGPT, and Perplexity citations. Analyzes AI crawler accessibility (GPTBot, ClaudeBot, PerplexityBot), llms.txt compliance, brand mention signals, and passage-level citability. Industry detection for SaaS, e-commerce, local business, publishers, agencies. Triggers on: "SEO", "audit", "schema", "Core Web Vitals", "sitemap", "E-E-A-T", "AI Overviews", "GEO", "technical SEO", "content quality", "page speed", "structured data".

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 says 'audit my conversion rate', 'cro check', 'find conversion leaks', or asks what is hurting conversion before a paid campaign or after a redesign. Scores six friction dimensions: above-the-fold clarity, CTA hierarchy, form length, social proof, speed, trust signals.

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。

Aggregate feedback signals across all active loops. Reports health, trajectory, overdue checks, regression warnings, and Goodhart's Law violations.

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。

Pull snapshots from all configured metric sources, compute deltas against prior snapshots, flag unexplained signals, and draft evidence entries for canvas files. One entry point for all external product/market metrics.

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。

Reference for string algorithm patterns — KMP, Z-function, Rabin-Karp, Manacher's, string hashing, suffix arrays, and Aho-Corasick. Covers recognition signals, core ideas, Python templates, edge cases, and common mistakes for each technique.

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。

Reference for advanced data structure patterns used in competitive programming and technical interviews. Covers heaps, monotonic stacks, tries, segment trees, Fenwick trees, stack-based parsing, and ordered sets with Python templates, recognition signals, and edge case guidance.

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。

Reference patterns for graph algorithm problems including BFS, DFS, Dijkstra, topological sort, union-find, MST, Bellman-Ford, and bipartite checking. Provides recognition signals, Python templates, edge cases, and common mistakes for each technique. Use when solving problems involving graphs, trees, shortest paths, connectivity, or dependency ordering.

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。

Reference for dynamic programming patterns — recognition signals, constraint mapping, Python templates, edge cases, and common mistakes for 8 core DP techniques

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 webhint in .NET repositories that ship browser-facing frontends. Use when a repo needs CLI audits for accessibility, performance, security headers, PWA signals, SEO, or runtime page quality against a served site or built frontend output.

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。

Constructs proprietary factor definitions with signal specification, universe application, and orthogonalization methodology. Use when defining custom factors, creating proprietary signals, or building factor libraries.

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。

Monitors market regime signals with volatility clustering, correlation dynamics, and liquidity condition assessment. Use when analyzing market regimes, detecting regime shifts, or adjusting strategy for market conditions.

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。

Evaluates cornerstone investment commitments with allocation guarantees, lock-up terms, and signaling value assessment. Use when structuring cornerstone tranches, analyzing anchor investors, or evaluating demand signals.

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。

SolidJS expert including reactivity, components, and store patterns

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 7-phase SEO optimization workflow covering technical SEO auditing, keyword research strategy, on-page optimization, content SEO and E-E-A-T, structured data implementation, link building, and AI search optimization. Use when auditing search engine visibility, diagnosing ranking issues, implementing schema markup, conducting keyword research, optimizing content for E-E-A-T signals, or adapting for AI-driven search (AI Overviews, SGE).

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。

PyQt6 desktop GUI development rules -- signal/slot architecture, QSS theming, QThread concurrency, layout management, and cross-platform rendering. Enforces MVC separation and responsive UI patterns.

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。

Two-step self-review at every task lifecycle phase. Step 1 (this skill) runs in-context to gather session signals — files read vs grepped, user pushback, build evidence, degradation signs. Step 2 launches a forked subagent for unbiased code/plan review with fresh eyes. Combined report classifies findings as hard blocks or soft warnings.

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。

Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical (restaurant, healthcare, legal, home services, real estate, automotive). Use when user says "local SEO", "Google Business Profile", "GBP", "map pack", "local pack", "citations", "NAP consistency", "local rankings", "service area", "multi-location", or "local search".

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。

Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".

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。

Evaluates whether work-in-design is ready to hand off from a chat design conversation to autonomous execution (Claude Code, n8n, agent runtime). Runs a 7-condition gate: spec stability, verification surface, invariants, pump-primer, work decomposition, rollback cost, token budget headroom. Three invocation modes — deliberate (caller provides work_context, returns JSON verdict), proactive sensing (Claude detects handoff signals in design conversation and offers the check), conversational walkthrough (Claude walks the 7 conditions as discussion topics). Returns structured JSON in all modes. Use when designing a Claude Code deployment, scoping an autonomous run, or deciding next move. Trigger on: "ready to hand off," "ready for execution," "is this CC-ready," "handoff check," "walk me through readiness," "are we ready to ship this," "should I just hand this off," or proactive detection. Do NOT use for evaluating completed work, runtime selection, or prompt quality. Profile-agnostic.

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。