3,433 件 ・ 関連度順
概要と使いどころ
Use when the user asks about Russian state-sponsored cyber operations or specific actors (APT28/Fancy Bear, Sandworm, Cozy Bear/APT29, Turla, GRU-affiliated hacktivist fronts like CARR/NoName057), wartime ICS/OT campaigns, or pro-RU information operations. Self-updating knowledge cell.
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 Iranian state-sponsored cyber operations or specific IRGC/MOIS-aligned actors (APT35/Charming Kitten, APT34/OilRig, MuddyWater, Imperial Kitten, etc.), wiper campaigns, front-group hacktivist personas (Handala, Cyber Av3ngers), or anti-Iran operations such as Predatory Sparrow. Self-updating knowledge cell.
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 explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture 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。
Transcribing, displaying and animating captions
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。
Operate a reusable technical book manuscript workspace with writing structure, reader persona SSOT, review rules, and optional Markdown to Re:VIEW/PDF support. Use when organizing a book manuscript repo, defining or reviewing target readers, standardizing chapter/section files, setting writing/review agents, handling publisher proof comments, or assessing an existing writing workspace. Triggers on book writing workspace, reader persona, reader audience, 読者ペルソナ, persona SSOT, technical book project, 執筆ワークスペース, manuscript workflow, Re:VIEW workspace, proof PDF, annotated proof, publisher proof comments, 校正, 校正注釈, and 初校.
"Apply the Dynamic Capabilities framework (Teece et al., 1997) — sensing, seizing, and transforming — to analyze how firms adapt, integrate, and reconfigure competences in rapidly changing environments. Use this skill when the user needs to explain why some firms sustain advantage while others decline, evaluate organizational agility, distinguish operational from strategic capabilities, or when they ask 'how do we stay competitive as the market shifts', 'why did this firm fail to adapt', or 'what capabilities do we need to build'.".
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Exploit CVE-2023-36884, a critical Remote Code Execution vulnerability in Windows and Office associated with the Storm-0978 APT. This skill covers the weaponization of malicious Word documents to achieve code execution upon opening, bypassing Mark-of-the-Web (MotW) defenses.
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 explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture 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。
Use when adding multimedia to PyQt/PySide6 apps - audio and video playback with QMediaPlayer, camera capture with QCamera and QMediaCaptureSession, audio/video recording with QMediaRecorder, GStreamer backend setup, or codec and platform compatibility issues
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。
Captures and analyzes malware network traffic from a detonation: extracting C2 endpoints, HTTP/DNS patterns, TLS metadata (JA3/SNI), and beaconing from a PCAP to build network IOCs and detection. Activates for requests to analyze malware PCAP, extract C2 from traffic, or study network behavior.
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。
VST3 format adapter for Pulp — SingleComponentEffect wiring, bus arrangement negotiation, parameter / MIDI event routing, state round-trip, and the pitfalls discovered while wiring the adapter against Steinberg's SDK.
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Keep a plugin/demo repo's screenshots in sync with its UX. When editor / UI / design-token code changes in an opted-in repo (one carrying .pulp/screenshots.toml), re-capture and refresh every place each shot is consumed — README images, web-demo Open Graph (og.png) images, and gallery thumbnails — consistently across the WAM and WCLAP demo sites. Two capture routes: native headless (render_to_png / pulp-screenshot, Skia) for README / native-editor shots, and live-web headless Chrome (playwright-core) for WAM/WCLAP demo OG + gallery images. Backfills demos missing OG images. This is a PORTING / consistency tool — it re-shoots a repo's OWN UI, it never clones another product's art.
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。
Capture faithful PNGs of Pulp view trees / imported UIs headlessly. Covers render_to_png backends (Skia vs CoreGraphics), the image-compositing gotcha, capture_png from a live GPU host, and the --screenshot-backend validate flag. Use whenever you render a UI to a PNG to eyeball or montage it.
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。
Audio Unit v3 (AUAudioUnit) format adapter for Pulp — render-block wiring, parameter tree bridging, MIDI / sysex via AURenderEvent, sidechain pulls, state persistence, iOS extension surface, and the pitfalls discovered while wiring the adapter.
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。
CLAP format adapter for Pulp — how Processor bridges to clap_plugin_t, how parameters / modulation / sidechain / MPE / UMP / sysex flow, and the pitfalls discovered while wiring the adapter.
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Debug or validate Pulp animations / transitions / scroll behavior using in-process motion fixtures and offline visual analysis. TRIGGER on phrases like "animation is wrong", "transition timing off", "fade too late", "card slides too far", "scroll jumps on restore", "scroll offset wrong on restore", "frame jump in the timeline", "easing looks wonky", "imported Figma motion doesn't match source", "settle time / overshoot / drift / monotonic", "what value does the knob reach at frame N", "record this animation so I can replay it", "this animation is expensive — which one and why", "reduced-motion broken", "scrub a captured fixture". Captures fixtures (.motion.jsonl), and ships assertion helpers (is_monotonic / settling_time_seconds / overshoot / start_delay_seconds / final_value / local_step_outlier_ratio) and the `scroll_geometry` trace for `ScrollView` content-offset / visible-rect / content-size observability. Off by default in prod.
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。
Writing figure captions that make figures self-contained — what to include, ordering, and statistical reporting.
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 task needs the judgment of an Adapted Physical Education Specialist — writing a legally-defensible PE present level and annual goal from motor/fitness assessment data, choosing the right test battery and alternate items for a student's mobility profile, recommending a placement step on the PE least-restrictive-environment continuum, or distinguishing a motor/balance deficit from a behavioral avoidance pattern.
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。
Guidance for Tauri v2 haptics plugin with feedback patterns and graceful fallback.
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 mobile UX implementation against platform conventions -- navigation patterns, gesture handling, pull-to-refresh, infinite scroll, skeleton screens, haptic feedback, adaptive layouts, deep linking, and accessibility..
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 this skill when designing, generating an MVP blueprint for, auditing, troubleshooting, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, record provenance, interactive presentation, user-memory lifecycles, environment-adaptive tools, speculative tool execution, late-bound capabilities, permissions, system prompts, planning, goals, always-on agents and durable runtime, adaptive agent teams, context compaction, memory, skills, MCP/external connectors, public-board communications, realtime voice agents, hardware agents and board deployment, self-refining recursive harnesses, programmable context, continual refinement, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.
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。
Ultimate AI prompt database and builder with 2,500+ curated prompts across 19 categories and 17 AI models (Midjourney, Flux, Leonardo AI, DALL-E, Sora, Imagen, Mystic, Stable Diffusion, Ideogram, Adobe Firefly, and more). Search, build, enhance, and adapt prompts for image generation, video creation, text, and meta-prompt generators. Use when user says "prompt", "find a prompt", "build a prompt", "enhance my prompt", "adapt this prompt", "prompt library", "image prompt", "video prompt", "midjourney prompt", "flux prompt", or any AI prompt engineering task. Do NOT use for terminal/CLI prompts, JavaScript prompt() dialogs, user input prompts, or bash prompt customization.
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 reuse AI coding session context across Claude Code, Codex, Antigravity/agent hooks, Cursor adapters, and compatible AI tools. Use this skill whenever the user asks to read, inspect, resume, compare, or continue another session by name or session ID, asks what happened in the previous session, or starts a new session that should inherit the nearest prior context. The paired provider adapter automatically loads the nearest previous project session at startup and resolves explicit session-read requests.
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 this skill when setting up Service Cloud Voice with Amazon Connect — provisioning the contact center, configuring phone numbers, enabling real-time transcription, and configuring After Conversation Work Time. Covers the deployable metadata behind it: CallCenter, ConversationVendorInfo (vendorType), CallCenterRoutingMap, the Voice ServiceChannel that carries ACW, ServicePresenceStatus, PresenceUserConfig, ServiceCloudVoice.settings, and the VoiceCall / VoiceCallRecording objects. Trigger keywords: Service Cloud Voice, Amazon Connect, contact center, softphone, call transcription, After Conversation Work, ACW, wrap-up time, VoiceCall, CallCenter metadata, vendorType, telephony provider. NOT for Omni-Channel routing setup — use admin/omni-channel-routing-setup. NOT for Open CTI softphone adapters — use apex/cti-adapter-development. NOT for Sales Dialer (Voice.settings) — that is a different product.
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。