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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.

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品牌無關的 IG/Threads/X/FB 圖卡引擎——把任何主題（idea / 文章 / 教學）變成輪播圖卡 + 4 平台文案。HTML+CSS 模板 → Chrome headless 渲染 PNG。風格由 brand pack 決定（brands/），接哪個 pack 出哪個風格，引擎不綁死品牌。觸發詞：做圖卡、生 carousel、social card、IG 圖卡、Threads 卡片、貼文文案、教學圖卡、infographic、輪播圖、carousel post。

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 tweets, threads, bookmarks, articles, and user timelines on X (formerly Twitter) using an authenticated GraphQL flow. Use this skill whenever the user mentions a tweet URL, a Twitter thread, an X bookmark, a Twitter article, reading their X bookmarks, pulling a thread, or grabbing X content — even if they don't explicitly say 'use mktg-x'. Requires MKTG_X_AUTH_TOKEN and MKTG_X_CT0 env vars. Do NOT firecrawl x.com URLs — Twitter serves a degraded logged-out page and firecrawl will return the login wall. mktg-x is the only path for auth-walled X content.

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。

Threat actor infrastructure tracking involves monitoring and mapping adversary-controlled assets including command-and-control (C2) servers, phishing domains, exploit kit hosts, bulletproof hosting, a

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。

Agent skill for crdt-synchronizer - invoke with $agent-crdt-synchronizer

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 Christensen's Disruptive Innovation theory to assess low-end and new-market threats to incumbents. Use this skill when the user needs to evaluate whether a new entrant poses a disruptive threat, analyze why incumbents fail against inferior-but-cheaper alternatives, or design a disruption strategy targeting overserved customers.".

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。

"Enterprise risk management (ERM) framework layer — integrates COSO ERM 2017 (five components, 20 principles), ISO 31000, three-lines model, risk appetite, risk heatmap, and key risk indicators (KRI) into a complete governance playbook covering structure through culture. Use for ERM implementation, risk-system build, risk mapping, risk-appetite statement drafting, three-lines setup, CRO role design, or Taiwan FSC corporate-governance evaluation response. Triggers: 『ERM 導入』『風險管理框架』『COSO』『風險地圖』『風險胃納』『KRI』『CRO 職責』『三道防線』『風險委員會』『ISO 31000』『風險熱圖』『風險治理』. For 師大／政大／陽交 EMBA risk-management/governance/audit cases. Complements Asgard `algo-risk-*` (Altman Z, Benford, credit, VaR) with the framework/governance layer. 獨董挑選/董事會組成/IPO 治理: use `biz-corporate-governance`.".

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 one or more standalone Meta image-ad creatives via ChatGPT Image 2 (gpt-image-2) through the Novoads API. Locks the model, auto-strips platform chrome, enforces edge-safe layouts and glyph-safety inside body text. Use when the user asks for a "gpt-image-2 ad", "ChatGPT Image ad", "Image 2 ad creative", "make a static image ad with GPT", or anchors on a need for typography-heavy / dense-text / UI-mimicry ad creatives (chat threads, comparison tables, fake search results, iOS dialogs, Slack snapshots, ChatGPT-conversation ads, Apple Notes lists). Does NOT trigger on Nano Banana cues — use nano-banana-image-ad for those.

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 guidance for using Chrome DevTools MCP for browser debugging and automation. Use when debugging web pages, analyzing performance, inspecting network requests, viewing console messages, or interacting with Chrome DevTools features programmatically.

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One to three sentences describing what this skill does and the conditions under which an agent should activate it. Start with a verb, name the tools and artifacts involved, and end with the trigger phrasing (e.g. "Activates for requests involving ...").

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。

Converts a successful threat hunt into a durable detection by extracting the discriminating logic, defining data sources and thresholds, and emitting a Sigma rule plus a test and tuning plan. Activates for requests to operationalize a hunt, turn a finding into a detection rule, or productionize hunt logic as a Sigma detection.

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。

Hunts for fileless and in-memory threats by correlating PowerShell script-block logs, encoded-command usage, in-memory loading patterns, and registry-resident payloads from Windows telemetry. Activates for requests to hunt fileless malware, detect in-memory execution, or find registry-resident and reflective-loading activity.

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 iterate on Pulp's native Dawn-backed Three.js workflow using the real three.webgpu.js renderer, focused bridge tests, and native demo capture.

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。

Traces and documents signal paths, bus/aux architecture, and sidechain connections in audio systems. Surfaces hidden coupling between audio components. Use when the user asks to trace a signal chain, explain audio routing, understand an audio graph, locate sidechain sources, or describe how audio flows through a plugin or engine. Trigger on phrases like "trace this signal chain", "explain this audio routing", "what calls what in this audio graph", "where does the sidechain come from", "how does audio flow through this plugin".

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。

Reviews AudioUnit v2/v3 plugin implementations for spec compliance, thread safety, and correctness. Use when the user asks to review an AudioUnit plugin, check an AUv3 app extension, audit property or parameter handling, or asks "is my AUComponent thread-safe?" or "why does my AU crash in Logic?". Trigger on phrases like "review my AudioUnit", "check my AUv3", "is my render block safe?", or when you see AURenderCallback, internalRenderBlock, kAudioUnitProperty_*, or AUAudioUnit in the 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。

Reviews audio DSP and audio processing code for realtime safety violations. Use whenever the user asks to review, audit, or check audio processing code — including plugin process callbacks, audio engine render functions, DSP implementations, or any code that runs on the audio thread. Trigger on phrases like "review my processBlock", "check this DSP code", "is this safe for the audio thread?", "review my JUCE plugin", or when you see an audio callback and spot potential realtime violations. Flag issues proactively even when the user hasn't explicitly asked for a review.

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。

Reviews CLAP plugin implementations for spec compliance, thread safety, and correctness. Use when the user asks to review a CLAP plugin, audit a CLAP extension, or check whether their process() callback follows the CLAP threading model. Trigger on phrases like "review my CLAP plugin", "check CLAP extension", "is my CLAP process() safe", "audit my clap_plugin_t", or when you see clap_plugin_t, clap_process_t, or CLAP extension structs in the 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。

Use when synchronizing frontend project documentation with source-of-truth files such as package.json, lockfiles, config, env examples, routes, API clients or server routes, schemas, components, tests, CI, build/deploy config, ADRs, changelogs, or migration notes. Do not use for general prose polishing only; Chinese triggers include document synchronization, update README, docs sync, environment variable documentation, command list, API Document synchronization.

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。

Inspects Google Cloud Filestore capacity and utilization, evaluates storage scaling rules, and performs capacity autoscaling (scale UP for low free space or scale DOWN for cost optimization). Use when monitoring Filestore instance headroom, resizing instance shares, configuring automated growth/shrink thresholds (custom thresholds apply globally across projects in session memory), or preventing out-of-space outages. Don't use for Cloud Storage (GCS) buckets, Persistent Disk block storage, or NetApp Volumes.

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。

Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools. Use when fetching threat intelligence from blogs, generating Threat Detection Opportunities (TDOs), simulating attacker behavior with synthetic UDM events, evaluating rule coverage, generating new YARA-L 2.0 rules to close coverage gaps, and with user approval, deploy them to SecOps. Don't use when asked to perform threat hunting actions, and SOC investigative actions.

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Use when a task needs the judgment of an Anthropologist/Archeologist working in cultural resource management (CRM) — scoping a Section 106 Phase I identification survey, designing a shovel-test-pit sampling strategy, evaluating National Register of Historic Places eligibility under Criteria A-D, interpreting excavation stratigraphy via a Harris matrix and radiocarbon results, or running the ethnographic field-methods branch (participant observation, informant interviewing) for a cultural-anthropology component of a project.

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 multiple ENCODE data types (RNA-seq, ATAC-seq, Histone ChIP-seq, TF ChIP-seq) for a tissue/cell type to build a comprehensive regulatory landscape. Use when the user wants to answer "what are the enhancers, promoters, and regulatory elements active in my tissue, and which transcription factors control them?" by layering expression, chromatin accessibility, histone marks, and TF binding data. Follows the Mawla et al. 2023 framework for cross-assay integration of islet cell type-specific data. Handles chromatin state annotation (ChromHMM), enhancer-gene linkage, TF motif enrichment, and cell type-specific regulatory element identification. Use for ANY multi-omic analysis, enhancer discovery, regulatory network construction, or epigenomic characterization using ENCODE 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。

Build comprehensive epigenomic profiles for tissues or cell types using ENCODE data. Use when the user wants to characterize chromatin states, assemble histone modification panels, create epigenomic landscapes, run ChromHMM segmentation, identify super-enhancers or bivalent domains, profile regulatory elements across a biosample, or understand epigenetic regulation in a specific biological context. Covers histone marks, chromatin accessibility, TF binding, transcription, DNA methylation, and 3D genome structure.

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. Orchestrates 52 sub-skills (52 active): full site audits, technical SEO (CWV/INP), schema, E-E-A-T content quality, images, sitemaps, GEO for AI Overviews, llms.txt generation, AI crawler audit, plus live GSC and Ahrefs MCP data. GSC: overview, drops, opportunities, brand-vs-nonbrand, cannibalization, compare, content-decay, index-issues, new-keywords. Ahrefs: overview, backlinks, keywords, competitors, content-gap, broken-links, new-links, anchor-analysis, dr-history, top-pages. Cross-MCP: serp, content-brief, brand-radar, site-audit-pro, report. Local: log-analysis, ai-content-check, internal-links, local, migration-check, obsidian-kb. AI Readability: llms-txt, robots-ai. Performance: lighthouse-audit, core-web-vitals, page-experience. Quality & AI Search: rich-results, ai-optimization, eeat-audit, helpful-content. Triggers on: "SEO", "audit", "schema", "Core Web Vitals", "sitemap", "E-E-A-T", "AI Overviews", "GEO", "technical SEO", "content quality", "structured data", "GSC", "Ahrefs", "backlinks", "keywords", "search console", "domain rating", "local SEO", "migration", "lighthouse", "pagespeed", "LCP", "INP", "CLS", "page experience", "interstitials", "mobile friendly", "rich results", "rich snippets", "schema eligibility", "AI optimization", "AI search readiness", "EEAT", "trust signals", "helpful content", "people-first", "content quality gate".

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。