294 件 ・ 関連度順
概要と使いどころ
Use for Fermi estimation, or when a rough number is needed fast: "roughly how many...", "ballpark the cost", "estimate capacity or market size", "is this even feasible?". Decomposes, uses ranges and sanity-checks. Skip when exact data is available or a precise calculation is wanted.
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 for prioritization, or when there are more tasks than capacity: "what should we do first?", "rank this backlog", "cut scope for the MVP", "RICE score these". Picks a method (RICE, ICE, MoSCoW, impact-effort), scores items and sets a cut line. Skip for choosing between two designs.
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 free remote development host on Oracle Cloud (Always Free) end to end — install and authenticate the OCI CLI, provision VCN/subnet/NSG/instance with capacity retries, then apply a hardened Ubuntu 22.04 Ansible stack (Tailscale-only SSH, ufw, fail2ban, mosh, persistent tmux, Caddy tailnet web previews, on-host verification suite) and tear it down again. Use when the user says "free remote dev environment", "Oracle Cloud free tier dev box", "OCI Always Free VPS", "give me a cloud dev machine for free", "provision a dev host on Oracle", or asks to move a Tailscale-only dev host setup to Oracle Cloud. Covers OCI CLI bootstrap, the Tailscale cutover, verification, costs, and teardown.
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。
Reviews a proposal, business case, deck or plan in character as a Chief Operating Officer archetype and returns a DRAFT review in the chat with a verdict, findings cited to specific sections, delivery and operational risks, what would change the verdict and five interrogation questions. Use when the user asks to "run a COO review", "pressure-test the delivery plan", "what would our COO say about this", "check the timeline and capacity" or "find the execution gaps before the steering committee". Do not use for financial questions, use cfo-reviewer instead; for architecture or vendor questions, use cto-reviewer. Drafts for human review; never approves, authorises or signs off.
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。
Reviews a proposal, business case, deck or plan in character as a Chief Financial Officer archetype and returns a DRAFT review in the chat with a verdict, findings that cite the exact passage, finance risks, what would change the verdict and five interrogation questions. Use when the user asks to "run a CFO review", "pressure-test the numbers in this business case", "what would a CFO say about this", "challenge the payback and run costs" or "prepare this for the investment committee". Do not use for delivery or capacity questions, use coo-reviewer instead; for architecture or vendor questions, use cto-reviewer; for positioning or demand, use cmo-reviewer. Drafts for human review; never approves, authorises or signs off.
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。
Customize WP Rocket behavior from a third-party plugin / theme via filter hooks — exclude URIs / cookies / user agents / REST API namespaces from caching, configure CDN URL rewrites, extend lazy load handling, override capability requirements, hook into Action Scheduler integration. Critical guidance — rocket_cache_reject_uri takes URI patterns (regex-like), NOT full URLs; rocket_cache_reject_* filters all expect arrays. The rocket_buffer filter is the FULL HTML output filter — extremely powerful but dangerous; one fatal error in the callback breaks every cached page until WP Rocket is disabled. Use when extending WP Rocket's default rules, NOT for cache invalidation (see wp-rocket-cache-invalidation). Triggers on rocket_cache_reject_, rocket_cdn_, do_rocket_lazyload, rocket_buffer, rocket_capacity, "exclude from WP Rocket cache".
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。
Account-based marketing for B2B SaaS. Use this skill to build a target account list, tier it 1:1 / 1:few / 1:many, size it against sales capacity, turn intent and engagement signals into plays, write the multi-channel orchestration contract each tier runs on, and measure the program in account coverage, penetration and pipeline instead of MQLs. Also triggers on: ABM, account-based marketing, target account list, TAL, named accounts, account tiering, 1:1 ABM, one-to-few, programmatic ABM, account selection, ideal customer profile fit, intent data, buying signals, 6sense, Bombora, Demandbase, account penetration, account coverage, sales and marketing alignment on accounts, enterprise account program.
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。
Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why.
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。
Master orchestrator for B2B SaaS content creation and the editorial production system behind it. Use this skill to produce blog articles, whitepapers, case studies, video scripts, newsletters and ghostwritten thought leadership, to develop content strategy, and to run the publishing line itself — content briefs, editorial calendars and production capacity, review and approval workflow, subject-matter-expert access, the style guide, an AI-drafting policy, and a content inventory with owners. Also triggers on: blog, article, case study, whitepaper, newsletter, video script, ghostwriting, content calendar, editorial, thought leadership, content strategy, content brief, content operations, content ops, editorial workflow, managing editor, who reviews this, our content pipeline is stuck, content is stuck in review, content audit, content inventory, content governance, style guide, house style, SME interview, expert interview, freelance writers, AI content policy, how much content can we actually produce.
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 working with Azure Boards Deep — deep Azure Boards management covering work items, sprints, backlogs, queries, and team velocity analytics. Use when performing deep audits of Azure DevOps Boards, analyzing sprint health, reviewing backlog grooming, or assessing team capacity and velocity across Azure DevOps projects.
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 working with Aws Fsx — aWS FSx file system management and health analysis. Covers FSx for Lustre, Windows File Server, NetApp ONTAP, and OpenZFS file systems, volumes, backups, data repository associations, and storage capacity metrics. Use when inspecting FSx file systems, debugging performance issues, reviewing backup configurations, or analyzing storage utilization.
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 working with Aws Gamelift — aWS GameLift fleet management including game server deployments, fleet scaling, matchmaking configuration, game session monitoring, and player session tracking. Covers fleet health, capacity utilization, matchmaking metrics, and cost analysis.
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 working with Apache Druid Deep — apache Druid deep management — monitor cluster health, datasources, ingestion tasks, segments, query performance, and coordinator/overlord status. Use when debugging ingestion failures, inspecting segment distribution, optimizing query latency, or auditing cluster capacity.
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 working with Apache Pinot — apache Pinot management — monitor cluster health, tables, segments, ingestion jobs, query performance, and controller/broker/server status. Use when debugging ingestion issues, inspecting segment distribution, optimizing query latency, or auditing cluster capacity.
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 working with Gcp Bigquery Deep — google BigQuery job analysis, slot utilization, storage optimization, materialized views, BI Engine capacity, and query performance diagnostics via bq CLI and gcloud.
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 working with Aws Ecs — aWS ECS cluster health, service status, task analysis, capacity provider management, and deployment tracking. Covers service stability, task failure investigation, container insights, resource utilization, and scaling analysis.
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 working with Dynamodb — amazon DynamoDB table analysis, capacity mode evaluation, GSI/LSI usage, item access patterns, and cost optimization.
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。
Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.
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。
Ensure architecture docs capture availability targets, failover strategy, capacity headroom, and resilience trade-offs for critical services.
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。
Extract dominant-component soil profile variables for EcoSIM grid or template inputs from gSSURGO, with FAO HWSD v2.0 fallback when gSSURGO data are unavailable or incomplete. Use when deriving soil depth, bulk density, field capacity, wilting point, hydraulic conductivity, texture, rock fraction, pH, CEC, or soil organic carbon; or when converting EcoSIM grid NetCDF files to editable Excel workbooks and back.
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 carrier or driver asks about winter trucking, snow chain requirements, hot-weather precautions, summer tire failures, fuel additive use (anti-gel), idle management in extreme temperatures, weight restrictions in spring thaw, or how seasonal demand patterns affect freight rates and capacity.
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 the user asks how to build + manage direct shipper relationships — moving from spot market to dedicated lanes, customer scoring + credit assessment, contract terms, dedicated capacity agreements, KPI reporting, and how to handle customer disputes. Reference standard customer-carrier contract terms.
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 dispatcher, operations manager, or owner asks how to plan loads to minimize empty (deadhead) miles, sequence freight efficiently, balance regional capacity, design dedicated loops, or build a load-pairing strategy across customers. Covers loaded-ratio math, lane balance, region-pair pricing, and software-supported optimization.
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。
4claw — a moderated imageboard for AI agents. Boards, threads, replies, media uploads, bumping (bump=false to not bump), greentext, and automatic capacity purges. Post spicy hot takes (what you're REALLY thinking) — but no illegal content, doxxing, harassment, or minors.
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。