396 件 ・ 関連度順
概要と使いどころ
Process-based discrete-event simulation. Model queues, shared resources, timed events: manufacturing, service ops, network traffic, logistics. Processes are Python generators yielding events. Resources: capacity-limited (Resource/Priority/Preemptive), bulk (Container), objects (Store, FilterStore). For continuous use SciPy ODEs; for agent-based use Mesa.
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。
Search the PRIDE Archive v3 REST API for proteomics datasets: discover projects by keyword + faceted filters (organism, instrument, disease, software), fetch project metadata, list and download RAW/PEAK/RESULT/FASTA files (with FTP/Aspera URLs), look up which projects mention a UniProt accession, and find similar projects. PRIDE v3 no longer exposes peptide/PSM-level identification endpoints — for spectrum-level data download the project's RESULT files. Use uniprot-protein-database for protein sequences; interpro-database for domain architecture.
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。
Answers business questions about the user's own spreadsheet or data export (CSV, TSV, XLSX from a CRM, Shopify, Stripe, QuickBooks, ad platforms, HR or payroll systems) correctly and auditably. Profiles every file first (grain, duplicate keys, embedded Grand Total rows, text-stored numbers, mixed currencies, UTC timestamps, Excel serial dates, hidden rows), states the metric definition used, computes every number in SQL or pandas instead of mental math, checks joins for fan-out, reconciles to a known total, and returns the query, filters, row counts, and rows behind the answer. Use this whenever the user says "analyze this spreadsheet", "how many...", "what's the total in this export", "which customers...", "pivot this", "revenue by month", "top 10", "what's our churn/MRR/AOV", or asks any question about their data, CSV, or Excel file, even a quick one. Also use when they ask to change values in a data file.
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。
Adaptive, targeted web fuzzing - deterministic wordlist selection (wl-pick.sh) plus judgment. Picks the right SecLists list per surface (content/vhost/api/params/artifacts) smallest-first, calibrates filters against soft-404s, recurses, escalates T0 harness -> T1 seclists -> T2 cewl -> T3 app-specific on signal, pivots to hidden-param fuzzing, and detects/handles WAF/Cloudflare/throttle (backoff, origin-bypass, or hard STOP on the DoS tell). Engagement-type aware (ctf loud, pt calibrated, bb stealth). Use for "fuzz", "content discovery", "directory brute", "vhost fuzz", "find hidden params", "which wordlist", "gobuster/ffuf/feroxbuster/cewl/arjun".
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。
Autonomous AI code generation safety guardrail register: static AST analysis, forbidden import filters, and zero-day vulnerability checks.
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 an application issues and validates its own first-party JWT access and refresh tokens, including authentication filters, password encoding, RBAC, and method security. For JWTs issued by Keycloak, Auth0, Okta, Cognito, or another authorization server, use oauth2-resource-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。
Implement privacy-preserving record linkage across datasets using Bloom filter encoding, secure hash matching, threshold tuning for precision and recall, and false positive management. Enables entity resolution without exposing raw personally identifiable information between parties.
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 Seedance 2.0 prompt for a rough hand-drawn luminous entity that physically contacts a live-action space, continuously transforms while remaining traceable, escapes through adjacent geography, and is followed by a slightly delayed handheld camera. Use for playful 4–15 second mixed-media clips; not for horror, polished CG, unrelated cuts, or simple visual filters.
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。
Video/audio/image processing with FFmpeg and ImageMagick. Tools: FFmpeg (video/audio), ImageMagick (images). Capabilities: format conversion, encoding (H.264/H.265/VP9/AV1), streaming (HLS/DASH), filters, effects, thumbnails, watermarks, batch processing, hardware acceleration (NVENC/QSV). Actions: convert, encode, resize, crop, compress, extract, merge, stream, transcode media. Keywords: FFmpeg, ImageMagick, video encoding, audio extraction, image resize, thumbnail, watermark, HLS, DASH, H.264, H.265, VP9, AV1, codec, bitrate, framerate, resolution, aspect ratio, filter, overlay, concat, trim, fade, batch processing. Use when: converting video/audio formats, encoding with specific codecs, generating thumbnails, creating streaming manifests, extracting audio from video, batch processing images, adding watermarks, optimizing file sizes.
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。
Beebole integration. Manage Users, Organizations, Filters. Use when the user wants to interact with Beebole 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。
Beamer integration. Manage Organizations, Users, Filters. Use when the user wants to interact with Beamer 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。
ApiFlash integration. Manage Organizations, Pipelines, Projects, Users, Filters. Use when the user wants to interact with ApiFlash 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。
API Ninjas integration. Manage Organizations, Users, Goals, Filters. Use when the user wants to interact with API Ninjas 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。
Apex 27 integration. Manage Organizations, Pipelines, Users, Goals, Filters. Use when the user wants to interact with Apex 27 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。
Apiary integration. Manage Organizations, Users, Goals, Filters. Use when the user wants to interact with Apiary 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。
Alpaca integration. Manage Organizations, Users, Filters. Use when the user wants to interact with Alpaca 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。
Ambivo integration. Manage Organizations, Pipelines, Users, Filters, Activities, Notes and more. Use when the user wants to interact with Ambivo 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。
Agiled integration. Manage Organizations, Leads, Pipelines, Users, Goals, Filters. Use when the user wants to interact with Agiled 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。
AgencyZoom integration. Manage Organizations, Leads, Users, Goals, Filters. Use when the user wants to interact with AgencyZoom 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。
Affinity integration. Manage Organizations, Leads, Pipelines, Users, Roles, Filters. Use when the user wants to interact with Affinity 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。
ActiveCampaign integration. Manage Users, Organizations, Leads, Projects, Goals, Filters. Use when the user wants to interact with ActiveCampaign 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。
Accelo integration. Manage Organizations, Leads, Pipelines, Users, Goals, Filters. Use when the user wants to interact with Accelo 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。
Optimize Nostr relay queries using NDK batch fetching. Use when: (1) Checking existence of many events one-by-one is slow, (2) Loop with individual fetchEvents calls causing N+1 query problem, (3) Need to verify multiple addressable events (Kind 30000+) exist. NDK's fetchEvents accepts arrays for tag filters (#d, #p, #e, authors), enabling batch queries that reduce hundreds of round-trips to a single request.
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。
Fix silent video/media processing failures caused by URL extraction code that filters on file extensions (.mp4, .webm, .webp). Use when: (1) Media moderation, transcoding, or analysis silently skips files from Blossom or content-addressed storage servers, (2) URL extraction from Nostr event tags (imeta, r tags) drops URLs without recognized extensions, (3) CDN fallback URLs append .mp4 but the actual server uses extensionless content-addressed paths like /{sha256}. Common in Nostr video events (kind 34236) where different clients use different URL formats.
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。