「composition」の検索結果

Workflow for enriching raw IOCs. Routes each IOC type to the appropriate /lookup-* skills, optionally correlates against MISP, and synthesises a single enrichment record per indicator. Use when the user has a batch of raw IOCs to process before triage or before pushing into a sharing platform.

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Indicator pivoting methodology — how to use one known indicator to discover related infrastructure across the IOC graph. Decision tree by indicator type with concrete `/lookup-*` commands per pivot, a worked multi-hop example, pivot-quality scoring, and routing into the rigor pipeline. Use when the user asks "what else is connected to this IP / domain / hash / cert / actor?", needs to expand a single seed IOC into a campaign cluster, or wants the canonical reference for graph-walking IOCs.

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Use when a user asks to check, identify, or characterize a file hash (MD5, SHA-1, SHA-256). Chains VirusTotal and OTX, optionally triggers /malware-analysis for deeper behavioral review. Returns detection signals, malware family, behavioral tags, and pivot candidates (communicating IPs, dropped files). Invoked by /cti-orchestrator when the target is a hash.

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Use when a user asks to investigate, check, enrich, or characterize an IP address (IPv4 or IPv6). Chains VirusTotal, Shodan, AbuseIPDB, GreyNoise, OTX, and optionally Censys in parallel, then consolidates findings and prioritizes follow-up IOCs. Invoked by /cti-orchestrator when the target is an IP.

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Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.

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Modern React patterns and principles. Hooks, composition, performance, TypeScript best practices.

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Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration) and ImageMagick (image manipulation, format conversion, batch processing, effects, composition). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.

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Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.

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Use when building self-correcting retrieval systems for AI agents. Keywords: RAG, retrieval, Corrective RAG, Self-RAG, query decomposition, reranking, hallucination, grounding.

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Design effective AI agent systems with clear architecture, capability planning, and tool integration. Use when building agent systems, designing agent workflows, planning tool ecosystems, defining agent roles and boundaries, or architecting multi-agent systems. Covers agent patterns, agentic loops, capability design, and system composition.

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Compose, revise, validate, compare, inspect, and export original multi-track music as Standard MIDI with BeatFlow's compact, style-neutral Python DSL. Use for turning a musical brief into a deterministic Composition, testing explicit phrase/counterpoint/theme contracts, or inspecting MIDI.

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Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts. Use when creating brand-kit image prompts, identity boards, logo systems, or visual-world presentations.

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"Corporate-governance practice playbook: board composition, three lines of defense, audit/compensation/nomination committee operations, independent-director governance, stakeholder communication, IPO governance upgrade, and family-business professionalization. Use for board-structure design, independent-director selection, three-lines implementation, IPO governance preparation, major governance incidents (fraud, scandal, insider trading), or family-business corporatization. Triggers: 『董事會組成』『獨董沒發揮功能』『三道防線』『上櫃治理補強』『家族法人化』『委員會分工』『ESG 治理』『審計委員會』『薪酬委員會』『提名委員會』. For Taiwan EMBA corporate-governance/finance/law/ESG cases. Focuses on listed-company and IPO practice; governance theory: use Asgard `grad-governance`; 9-box/繼任規劃/接班人才盤點: use `ops-talent-strategy`; COSO ERM/風險地圖/風險委員會運作: use `biz-erm`.".

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Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.

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"Build ARIMA models for time series forecasting with trend and seasonality decomposition. Use this skill when the user needs to forecast future values from historical sequential data, test for stationarity, or select ARIMA parameters — even if they say 'time series forecast', 'predict next month sales', or 'ARIMA model'.".

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Fix generic Svelte component designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

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Fix generic Vue component designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

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Fix generic React component designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

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Fix generic HTML/CSS designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

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Create high-converting, visually distinctive landing pages. Use when building marketing pages, product launches, SaaS homepages, or any single-page conversion-focused website. Guides section-by-section composition with anti-AI-slop principles.

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VeeValidate v4 patterns - useForm, useField, defineField, useFieldArray, schema validation with Composition API

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Type-safe i18n for Vue 3 Composition API — useI18n, pipe-syntax plurals, i18n-t/d/n components, lazy-loaded locales. Load when a project imports vue-i18n.

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React Native Gesture Handler - gesture types, GestureDetector, gesture composition, state machine, platform-specific gestures, swipeable rows, hover gestures

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Research stablecoin reserve composition, review provenance, custody evidence, dependency edges, and backing-pillar slices; populate the owning reserves sidecar only when explicitly requested.

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