245 件 ・ 関連度順
概要と使いどころ
"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'.".
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。
Analyze sales pipeline, historical revenue, conversion rates, and assumptions to produce forecast scenarios. Use for sales reviews, RevOps planning, and founder revenue forecasting.
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 a custom session search tool that indexes and queries past Claude Code CLI chat logs to retrieve historical findings, techniques, and context. Based on Critical Thinking Bug Bounty Podcast Episode 166.
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。
Deep OSINT reconnaissance using the MITRE ATT&CK Reconnaissance framework. Email harvesting with SMTP verification, subdomain takeover detection, certificate transparency mining, Shodan/Censys intelligence, Wayback Machine historical analysis, social media profiling, cloud storage enumeration, document metadata extraction, DNS history, credential leak checks, and passive infrastructure mapping. Uses theHarvester, amass, dnsrecon, fierce, dnstwist, dmitry, whatweb, wafw00f, exiftool, metagoofil, smtp-user-enum, swaks, waybackurls, subfinder, and crt.sh. Pure reconnaissance — no active exploitation. Produces: confidence-scored findings, infrastructure diagram, employee roster, email pattern confirmation, subdomain takeover candidates. Chains into /pentester for active testing.
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。
Identify and exploit Broken Object Level Authorization (BOLA), historically known as Insecure Direct Object Reference (IDOR), in API architectures. Extremely common and critical flaw where an API fails to validate whether the currently authenticated user actually owns or retains permissions over the specifically requested database resource (ID).
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。
Tunes noisy detections by analyzing historical alert data to quantify false-positive sources, recommend allow-list filters and threshold adjustments, and measure precision impact. Activates for requests to tune a detection, reduce false positives, or analyze alert noise and recommend 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。
Establishes behavioral baselines from historical telemetry (process, network, or logon events) so hunts can flag rare and first-seen activity instead of relying on static signatures. Activates for requests to build a telemetry baseline, find rare or first-seen activity, or compute frequency baselines for anomaly hunting.
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。
Estimates task effort by analyzing complexity, dependencies, historical velocity, and risk factors. Produces a structured estimate with confidence levels.
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。
Convene the Council of High Intelligence — multi-persona deliberation with historical thinkers for deeper analysis of complex problems.
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。
Safely simulates and applies Google Cloud IAM v1 (Allow) policy changes. Uses the Policy Simulator to replay historical access logs against proposed policies to prevent breaking active workloads before applying the changes. Use when simulating or applying IAM v1 allow policies across Projects, Folders, or Organizations. Don't use for analyzing IAM v2 deny policies, VPC Service Controls, or performing general policy troubleshooting.
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。
Author, validate, test, and deploy YARA-L 2.0 detection rules and evaluate end-to-end detection coverage gaps in Google SecOps. Use when writing new detection rules, tuning existing rules, validating syntax, testing logic against historical telemetry, or evaluating detection coverage against threat intelligence blogs, CVE disclosures, and Threat Detection Opportunities (TDOs) using synthetic UDM events and long-running coverage analysis. Don't use for alert triage (use secops-triage), deep forensic event reconstruction on infected hosts (use secops-investigate), or case management operations (use secops-cases).
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 configuring or troubleshooting NPSP soft credits, partial soft credits, or matching gift workflows — including OpportunityContactRole-based credit attribution, npsp__Partial_Soft_Credit__c records, and the Find Matched Gifts process. NOT for gift entry templates or batch gift entry — use admin/gift-entry-and-processing. NOT for importing historical gifts and credits — use data/gift-history-import.
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。
Configure and operate NPSP Gift Entry: gift entry templates, batch gift entry, payment processing, donation allocation, and receipting workflows. NOT for a one-time migration of historical gift data — use data/gift-history-import. NOT for soft credits or matching gifts — use admin/soft-credits-and-matching.
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 for Salesforce Order Management (OMS) tasks: order lifecycle, OrderSummary creation and status, FulfillmentOrder creation and routing, returns, exchanges, cancellations, and platform event subscriptions. Trigger keywords: order management, OrderSummary, FulfillmentOrder, ReturnOrder, ensure-funds, ensure-refunds, submit-cancel, submit-return, adjust-item-submit. NOT for split-order routing or Omnichannel Inventory design — use architect/order-management-architecture. NOT for loading historical orders — use data/commerce-order-history-migration.
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。
Scholar of biblical interpretation covering Hebrew Bible and New Testament with historical-critical and literary methods
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 in spiritualist practices, séance protocols, mediumship traditions, and historical spiritualism movements from 19th century to modern practices
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。
Traditional herbalism and folk magic expert covering plant correspondences, traditional uses, and historical practices
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 in Elder Futhark runes, Norse mythology, runic divination, and historical runic practices
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 in historical alchemy, Hermetic philosophy, and symbolic transformation from medieval to modern esoteric traditions
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。
Kanji specialist covering character origins, radical systems, mnemonic techniques, and historical development
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 in word etymology, historical linguistics, and the development of language families
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。
Research historical news events that moved (or are moving) an asset's price and plot them as data points directly on the chart. Click a marker in the Historic News tab to zoom the chart to that event and read the article. Useful for identifying the fundamental drivers behind price action — earnings, regulation, product launches, macro shocks, geopolitical events.
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。
Fetch historical OHLC chart data from yfinance (stocks) or ccxt (crypto) and load it onto the chart.
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 isolate identity at the right resolution for the question -- ANI/Mash species triage, 7-locus MLST historical comparability, cgMLST/wgMLST outbreak resolution (chewBBACA, BIGSdb, Ridom SeqSphere, EnteroBase HierCC), in-silico serotyping (SISTR/SeqSero2 Salmonella, SerotypeFinder E. coli, Kaptive Klebsiella, SeroBA pneumococcus, spa+SCCmec S. aureus), and lineage callers (TB-Profiler/Mykrobe barcode for MTBC, Pangolin + Nextclade for SARS-CoV-2, PopPUNK GPSC for S. pneumoniae). Use when typing bacterial isolates for surveillance or outbreak investigation, choosing between cgMLST allele distance and core-SNP distance for cluster definition, harmonising calls across schemas/database versions, assigning MTBC lineage with the Napier 90-SNP barcode, calling Salmonella serovar via SISTR with monophasic Typhimurium awareness, running Pangolin UShER mode with pangolin-data version pinning, or selecting a typing resolution to match the surveillance question.
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。