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概要と使いどころ
Builds CLO waterfall models with coverage tests, reinvestment criteria, and distribution allocation across tranches. Use when modeling CLO structures, analyzing OC/IC tests, or projecting tranche returns.
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。
Builds recovery waterfall models with absolute priority, secured vs unsecured claims, and plan of reorganization distribution analysis. Use when modeling bankruptcy recoveries, analyzing claim priorities, or estimating creditor distributions.
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。
Builds carry waterfall models with preferred return hurdles, catch-up provisions, and clawback mechanics across deal-by-deal and whole-fund structures. Use when modeling carry economics, comparing waterfall structures, or analyzing GP incentive alignment.
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。
Create a Work Breakdown Structure (WBS) and WBS Dictionary from project charter deliverables. Covers hierarchical decomposition, WBS coding, effort estimation, dependency identification, and critical path candidates. Use after a project charter is approved, when planning a classic or waterfall project with defined deliverables, breaking a large initiative into manageable work packages, or establishing a basis for effort estimation and resource planning.
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。
WatermelonDB reactive local database for React Native - schema, models, decorators, reactive queries, relations, writers/readers, batch operations, migrations, sync
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 environmental engineer — designing or sizing a wastewater/water treatment process, drafting or reviewing an NPDES or Title V air permit application, scoping a contaminated-site remediation (RI/FS), evaluating whether a process change triggers a permit modification, or checking a discharge/emissions dataset against regulatory limits.
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 a Commercial Diver — planning a surface-supplied or SCUBA-mode dive against no-decompression limits, sizing a bailout/reserve gas supply before descent, choosing wet vs. dry (habitat) underwater welding for a repair, scoping an underwater NDT inspection, or deciding whether to abort a dive against a safety threshold.
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 agricultural engineer — sizing a center-pivot or drip irrigation system's peak capacity against crop water demand, computing lateral grain-bin wall pressure with Janssen's equation, sizing a waterway or tile-drainage system with Manning's equation and an NRCS design-storm return period, or building a manure/nutrient first-year availability mass balance against a crop's N requirement.
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。
Metal/wgpu/WGSL shader surfaces for native Rust gpui apps (Zed-family, pd-console), stockpiled with beautiful copy-pasteable shader-toy examples. Use for custom GPU fragment passes behind/around gpui panes: ocean/water shaders, pixelated waves and boats, a living harbor, dithered chrome borders, sonar sweeps, aurora/starfields, CRT/scanline post. Trigger on: wgsl, wgpu, metal shader, gpui shader, shadertoy, fragment shader, SDF, noise/fbm, ordered dithering, pixelation, render-to-texture, "pixelated waves and boats", living harbor water. NOT for: web/GLSL/three.js shaders (use a web tool), non-shader gpui motion (use rust-gpui-motion), general GUI layout/color (use beautiful-gui-design), CLI/TUI (use beautiful-cli-design).
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。
Assigns pathogen lineages (SARS-CoV-2 Pangolin UShER mode; Nextclade clade + QC; pango-designation alias resolution) and tracks variant frequencies over time using Nextstrain (Augur + Auspice), wastewater deconvolution (Freyja, COJAC, alcov, lineagespot), lineage-fitness modelling (multinomial logistic), and recombinant detection (3SEQ, RDP4, Bolotie). Covers Pangolin pangolin-data and Nextclade dataset version pinning (mandatory; lineage-defining mutations change with dataset), Freyja barcode forward-only date constraint, ARTIC primer scheme churn (V3/V4/V4.1/V5.3.2/Midnight) with dropout regions, and recombinant X-prefix designation lag. Use when assigning Pango lineages and Nextclade clades to viral consensus sequences, building Nextstrain Augur surveillance pipelines, deconvolving wastewater into lineage frequencies with Freyja, tracking lineage frequencies over time, handling ARTIC primer dropouts, or running surveillance for SARS-CoV-2/influenza/Mpox/RSV/H5N1/measles.
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。
Expert-level hydraulics covering open channel flow, pipe systems, hydraulic structures, pumps and turbines, flood routing, and stormwater management.
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。
FFmpegを使用したマルチメディア処理の専門スキル。動画・音声の変換、編集、最適化を効率的に支援。フォーマット変換、コーデック選択、フィルタ適用、ストリーミング準備、ハードウェアアクセラレーションなど幅広い操作をカバー。Use when converting video/audio formats, transcoding codecs, trimming/cutting media, creating GIFs, extracting audio, adding watermarks, preparing for streaming (HLS/DASH), or optimizing media files for web/mobile.
Read MIKE+ .res1d results via the mike-plus MCP server — list contents, summarize peaks, extract a single time series, or check which nodes flood (peak water level vs ground level). Use when an agent needs to inspect or pull numbers from MIKE+ network results (node water levels, link/reach discharge, velocities, flooding). No MIKE+ license or installation required.
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。
Expert en détection de contenu IA (watermarking, outils de détection, originalité, intégrité académique)
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。
Resize an image, add a branded text watermark, and convert to WebP in a two-step pipeline.
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 a text watermark to a photo using layer-based image composition for brand protection and copyright.
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。
ReactとNext.jsの表示や操作の遅さを見直すための指針です。データ取得の待ち時間、配信するコード量、再描画などを優先度順に確認し、改善に役立てます。
PDFやOffice文書、画像をNutrient DWS APIで変換・加工するスキル。文字や表の抽出、スキャンの文字認識、機密情報の墨消し、署名やフォーム入力を扱います。
文章からの画像生成や、既存画像の画風変更、指定部分の補完をPythonで実装します。構図やスタイルの制御、生成設定の調整、メモリ節約も案内するスキルです。
Poll RSS, JSON APIs, and GitHub with watermark dedup.
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 whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
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 whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
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。
GATEWAY — load FIRST before composing any HyperFrames animation or video. The high-level motion law that makes a multi-scene video feel like ONE continuous camera move instead of a stack of independently-animated slides. Covers the vector law (how you exit determines how you enter, incl. the Z scale-sign rule), the film's current, carrier elements, causal motion, the Seam Gate (build-gate enforcement), the ban on idle wobble (motion must PERFORM, not breathe), stillness-before-climax, and the sustained-motion routes. Routes to the low-level technique skills (cut-the-curve — the full catalog incl. waterfall entry + nudge curve, oversized-cursor, seam-craft). These rules SUPERSEDE generic / upstream motion guidance. [continuity, direction, vector, momentum, seam, transition, ease, performance, idle-motion, narrative-motion, film-grammar]
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。
When the user wants to find, qualify, and build a list of prospects to reach out to, across B2B SaaS, general B2B, or local small businesses. Also use when the user mentions "prospecting," "build a prospect list," "find leads," "lead list," "outbound list," "target account list," "ICP-fit accounts," "find local businesses," "find my first customers," "design partners," "signal-based outbound," "buying signals," "intent data," "job change alerts," "waterfall enrichment," "Clay table," "lookalike accounts," "catch-all emails," "account tiering," or "research this account before I reach out." Always verify emails before they reach a sequence, and never scrape LinkedIn. Define audiences in Sales Navigator and pull contacts from licensed data. Covers list building, signals, enrichment, verification, and account research. For the outreach itself (copy, sending setup, LinkedIn, cadences, replies), see cold-email. For researching competitors, see competitor-profiling.
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。