「ema」の検索結果

Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filtering, faceted attributes, semantic reranking, in-database AI validation, or serverless hosting across transactional relational databases, analytical data warehouses, or managed database engines. DON'T use this skill for simple keyword-only search, or when a standalone non-relational vector database is required.

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Ultra-compressed commit message generator. Cuts noise from commit messages while preserving intent and reasoning. Conventional Commits format. Subject ≤50 chars, body only when "why" isn't obvious. Use when user says "write a commit", "commit message", "generate commit", "/commit", or invokes /caveman-commit. Auto-triggers when staging changes.

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Analyzes Google Cloud BigQuery slot consumption, query costs, and execution bottlenecks using INFORMATION_SCHEMA. Use when diagnosing slow BigQuery queries, slot starvation, high on-demand query costs, unpartitioned table scans, or join performance issues. Don't use for generic BigQuery administration (use bigquery-basics), BigQuery ML (use bigquery-ai-ml), or DataFrame operations (use bigquery-bigframes).

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Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.

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Ultra-compressed code review comments. Cuts noise from PR feedback while preserving the actionable signal. Each comment is one line: location, problem, fix. Use when user says "review this PR", "code review", "review the diff", "/review", or invokes /caveman-review. Auto-triggers when reviewing pull requests.

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Show real token usage and estimated savings for the current session. Reads directly from the Claude Code session log — no AI estimation. Triggers on /caveman-stats. Output is injected by the mode-tracker hook; the model itself does not compute the numbers.

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Decision guide for delegating to caveman-style subagents. Tells the main thread WHEN to spawn `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit), or `cavecrew-reviewer` (diff review) instead of doing the work inline or using vanilla `Explore`. Subagent output is caveman-compressed so the tool-result injected back into main context is ~60% smaller — main context lasts longer across long sessions. Trigger: "delegate to subagent", "use cavecrew", "spawn investigator/builder/reviewer", "save context", "compressed agent output".

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Use this skill when writing acceptance criteria for Salesforce features, structuring UAT test scripts from user stories, classifying defects found during UAT, or planning regression testing before a Salesforce release. Trigger keywords: UAT, user acceptance testing, test script, acceptance criteria, defect classification, regression testing, test plan, test case. NOT for Given/When/Then AC syntax — use admin/acceptance-criteria-given-when-then. NOT for the per-case field schema and AC-to-case decomposition — use admin/uat-test-case-design. NOT for automated Flow or Apex test coverage — use flow/flow-testing. Also covers: UAT plan record, sandbox selection for UAT, pre-UAT environment checklist, sandbox email deliverability for testers, test-user personas, negative and bulk coverage, defect triage categories, go/no-go sign-off, quick-deploy window.

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RecordType ID differences across orgs: dynamic lookup via Schema.SObjectType methods, DeveloperName for stable refs, hard-coded ID anti-patterns, record-type caching, deployment impact. NOT for deciding whether to use record types at all — use admin/record-types-and-page-layouts. NOT for layout/profile explosion at scale — use admin/record-type-strategy-at-scale. NOT for hard-coded Profile, Queue or User IDs in Apex — use apex/apex-hardcoded-id-elimination.

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Configure and troubleshoot Salesforce Case Escalation Rules: time-based escalation entries, business hours configuration, escalation actions (email alerts and reassignment), and diagnosing why cases are not escalating. Covers the EscalationRules metadata shape, businessHoursSource and escalationStartTime semantics, staged escalationAction thresholds, deploy-inactive parallel-run cutover, and monitoring escalated cases. Trigger keywords: escalation rule, case not escalating, SLA breach notification, escalate after X hours, reassign case automatically, IsEscalated. NOT for SLA milestone timers — use admin/entitlements-and-milestones. NOT for case routing on creation — use admin/assignment-rules. NOT for the calendar itself — use admin/business-hours-and-holidays.

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Use this skill when configuring or troubleshooting FSC Referral Management: setting up referral types via ReferralRecordTypeMapping custom metadata, routing referrals through Lead Assignment Rules keyed on the Expressed Interest picklist, tracking Referrer Score, and partner referral visibility in Experience Cloud. Trigger keywords: referral routing, FSC referral types, ReferralRecordTypeMapping, Expressed Interest picklist, partner referral Contact, Referrer Score Experience Cloud. NOT for clinical referrals in Health Cloud — use admin/referral-management-health. NOT for standard Lead capture and conversion outside FSC — use admin/lead-management-and-conversion.

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Custom Notification Types for desktop/mobile push alerts from Flow or Apex: type creation, target channels, Messaging.CustomNotification invocation, recipient limits, bulk notification patterns. NOT for choosing channels, consent, or notification-fatigue policy — use admin/custom-notification-type-design. NOT for email alerts — use admin/email-templates-and-alerts. Trigger keywords: notiftype, notificationtypes directory, customNotifTypeName, customNotificationAction, setNotificationTypeId, targetPageRef, NotificationTypeConfig.

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Use when designing Custom Notification Types that fire via Flow, Apex, or Process Builder to Lightning bell, desktop, mobile (push), and Slack. Covers channel enablement, targeting, deliverability, consent, and anti-spam discipline. NOT for actually sending one from Flow or Apex, or the recipient limit — use admin/custom-notification-types. NOT for email templates and alerts — use admin/email-templates-and-alerts.

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。

จัดการ email แบบ inbox zero — triage, reply template, follow-up, scheduling, signature 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。

Email marketing AI — sequence, automation, deliverability, segmentation สำหรับธุรกิจไทย

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Expert in proof techniques, mathematical reasoning, and rigorous argumentation for students learning to write proofs

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Expert in formal logic, model theory, computability, and foundations of mathematics

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。

Bulk verify customer email addresses using [Clearout](https://composio.dev/toolkits/clearout) or [Mailcheck](https://composio.dev/toolkits/mailcheck)

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Systematically QA test a web application. Use when asked to "qa", "QA", "test this site", "find bugs", "dogfood", or review quality. Four modes: diff-aware (automatic on feature branches — analyzes git diff, identifies affected pages, tests them), full (systematic exploration), quick (30-second smoke test), regression (compare against baseline). Produces structured report with health score, screenshots, and repro steps.

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4-phase systematic debugging methodology with root cause analysis and evidence-based verification. Use when debugging complex issues.

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。

Database Architect skill. Use this when you need to modify the database schema, add tables, or seed data. This project uses RAW SQL SCRIPTS orchestrated by .NET Aspire, NOT Entity Framework Migrations.

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Build a modular daily-planner one-sheet for an e-ink tablet and deliver it via Folio. Use when the user asks for a daily plan, daily planner, "daily one sheet", morning sheet, day plan, or to send a planner to their reMarkable, Supernote, Kindle Scribe or other e-ink device. Interviews the user, pulls from connected tools (calendar, tasks, GitHub, weather), renders an e-ink-optimized PDF sized for the chosen device, and sends it with Folio.

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Add Gmail integration to NanoClaw. Can be configured as a tool (agent reads/sends emails when triggered from WhatsApp) or as a full channel (emails can trigger the agent, schedule tasks, and receive replies). Guides through GCP OAuth setup and implements the integration.

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Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.

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。