「eal」の検索結果

Audit an assisted living or elder care platform for resident safety and operational quality. Triggers: building or reviewing senior living software, nursing home management systems, or home health platforms.

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 in-game economy systems including soft and hard currency source-sink balance, inflation projection modeling, loot table drop rate fairness and pity system evaluation, gacha probability disclosure, player marketplace health and price manipulation risks.

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 fraud detection systems including rule engines, ML scoring models, real-time transaction monitoring, alert triage workflows, false positive management, SAR/CTR regulatory reporting, adversarial robustness testing, and adaptive retraining pipelines for payment fraud, account takeover, identity theft, and AML compliance.

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。

Audit any product from a Customer Success Manager perspective -- evaluate onboarding flow completeness, self-service help infrastructure, customer health signal tracking, support channel accessibility, expansion and retention triggers, and customer communication systems.

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 government benefits processing software for eligibility determination, application workflow efficiency, document verification, error rates, appeal tracking, multi-program coordination, and ADA/Section 508 compliance..

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。

Generate an institutional-grade commercial real estate underwriting model — input schema (T-12 income, T-3 trailing, rent roll, debt terms, exit assumptions), calc engine (Cap Rate, NOI, Cash-on-Cash, IRR, DSCR, Debt Yield, ROI, Equity Multiple, levered & unlevered 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。

Analyze mental health care planning systems for treatment goal alignment, intervention scheduling, progress milestone tracking, multi-provider coordination, step-down/step-up criteria, and individualized care pathway 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。

Audit mental health crisis monitoring systems for risk signal detection accuracy, escalation protocol completeness, safety planning integration, crisis team coordination, and ethical guardrail enforcement..

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。

Best practices for building and maintaining applications with PowerSync: Cloud and self-hosted setup, sync configuration, client SDK usage, backend integration (Supabase, custom Postgres, MongoDB, Azure DocumentDB, MySQL, MSSQL), schema changes, watch and reactive queries (useQuery), attachments, the upload queue, and debugging. Use this skill whenever the user mentions PowerSync, a @powersync/* package (@powersync/web, @powersync/react-native, @powersync/node), the powersync Flutter/Dart package, the powersync Rust crate, wa-sqlite, offline-first sync, local-first architecture, sync rules, sync streams, uploadData, fetchCredentials, disconnectAndClear, logout or user switching in a synced app, real-time data replication, Electric Cloud migration, Electric Shapes, an app stuck on Syncing, data not syncing, or wants to add offline-capable sync to a mobile or web app, even if they do not explicitly name PowerSync.

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。

Write a compelling sales proposal. Use when the user says "write a sales proposal", "put together a proposal", "draft a proposal for this prospect", "create a business case", "write up our recommendation", "how to structure a proposal", "proposal template", "executive summary for a deal", or wants to create a written document that moves a prospect toward a decision.

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。

Write a structured weekly or bi-weekly program status report for stakeholders. Use when the user says "write a status report", "program update", "stakeholder update", "weekly status", "RAG status", "program health report", "what do I send to leadership", "write the update for [program]", or needs to communicate delivery progress - even if they don't explicitly say "status report". Produces a concise, scannable report with RAG status, blockers, and decisions needed.

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。

Update user personas from new feedback, pilot data, or research. Use this skill when: - New pilot data or feedback reveals changed user behaviors or pain points - Annual persona review is due (1-2x per year) - New user segments are discovered that need persona documentation - Existing personas need validation against recent 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。

Turn raw customer material into evidence-backed personas and verbatim voice-of-customer language. Two modes - analyse sources the user already has (call transcripts, support tickets, survey responses, sales notes, reviews), or source new material from public places customers actually talk. Produces quoted pains, objections, and switch triggers that other skills consume, never invented ones. Use when the user says "customer research", "voice of customer", "what do our customers actually say", "we need real quotes", "analyse these call transcripts", "read our support tickets", "build a persona from data", "find what customers complain about", or when a persona is marked provisional. For structuring the finished persona into the knowledge base, see brand-context. For the JTBD persona template itself, see customer-persona.

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。

Design statistically rigorous experiments to test data science hypotheses. Use when the user says "design an A/B test", "run an experiment", "test this hypothesis", "is this difference significant", "how many samples do I need", "randomized controlled trial", "causal inference", "uplift test", "holdout group", "significance test", "power calculation", "avoid p-hacking", or needs to determine whether an observed effect is real before making a product or model decision.

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 structured Quarterly Business Review deck for a customer account. Use when user says "QBR", "quarterly business review", "prep my QBR", "build the deck", "renewal prep", "executive check-in", "90-day review", or "customer business review" - even if they don't use the acronym. Applies to CSMs preparing for executive-level customer meetings focused on value delivered, health, and next quarter 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。

Build a business case with costs, benefits, and ROI. Use when the user says "cost-benefit analysis", "business case", "ROI calculation", "is this worth it", "justify the investment", "payback period", "benefits realization", "financial justification", "total cost of ownership", "should we build or buy", "investment appraisal" - even if they don't explicitly say "CBA".

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。

Spin up a new loop (domain) in a file-based knowledge base — bootstrap the substrate if it's missing, gather the loop's charter, scaffold domains/<loop>/README.md, then do ONE real test run and record it in the loop's Timeline and LOG.md. Use when the user says "set up a new loop", "create a domain", "start a new beat/workstream", or names a recurring job they want the agent to own.

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。

Set up an end-to-end test suite in any repo, following practices that make e2e a reliable per-PR gate: real flows over bypass, layered assertions, a reusable auth/session helper, video+trace evidence, and a compounding suite. Use when a repo has no e2e (or weak e2e) and you want system-level tests — "set up e2e", "add end-to-end tests", "scaffold a test gate".

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 the Fable-derived 10-stage OBSERVE, OBSERVE, LISTEN, THINK, CONNECT, CONNECT, FEEL, ACCEPT, CREATE, GROW loop to consequential or ambiguous reasoning and decisions. Use for think this through, deep think, architecture review, postmortem, tradeoff analysis, or challenges to assumptions. This is a reasoning review, not a deterministic vault health check or repair workflow.

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。

Suggest tags and categories for a blog post from its content, audit a site's tag and category health, and, only after the user approves a shown plan, sync tags and categories to WordPress, Shopify, Ghost, Strapi, or Sanity. suggest and audit are read-only; sync is dry-run by default and never deletes, merges, or edits post content. Use when the user says "tag suggestions", "taxonomy audit", "sync tags", "WordPress tags", "Shopify tags". Not for keyword research (blog-brief) or schema markup (blog-schema).

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。

Live SEO data via DataForSEO MCP server: SERP analysis, keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis, competitor and content analysis, business listings, AI visibility (LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "AI visibility check", or "real search 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。

Diagnose and draft or explicitly apply paid-ad optimizations using evidence, financial constraints, experiments, and capability-gated adapters. Use for campaign optimization, budget reallocation, bid changes, pausing or archiving ads, requests to delete campaigns, search-term or negative-keyword actions, creative rotation, or improving CPA and ROAS.

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 what people are actually saying about a topic in the last 30 days across Reddit, X / Twitter, YouTube, Hacker News, dev.to, Medium, and other public discourse platforms. API-free; uses WebSearch with platform-targeted site operators plus recency filters. Produces DISCOURSE.md (a structured brief) and JSON output the writer can consume. Complements blog-researcher (which focuses on authority sources) with a recency-and-engagement lens. Not for verifying statistics (blog-factcheck) or gathering authority sources. Use when user says "blog discourse", "discourse research", "what are people saying about", "research what people are saying", "voice of customer", "social listening", "30-day research", "trend research", "what's the discussion on", "real-time research", "practitioner discourse", "/blog discourse".

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。

Score one blog post (or a folder of posts) on a 5-category 100-point scale covering content quality, SEO, E-E-A-T, technical elements, and AI citation readiness. Runs the deterministic analyzer first, then adds judgment and prioritized Critical/High/Medium/Low fixes. Advisory style diagnostics never infer authorship or affect the score. Exports markdown, JSON or table; works with MDX, markdown, HTML or a URL. Use when the user asks to analyze, score, rate or check the quality of specific posts ("analyze blog", "blog score", "check blog quality", "rate this post"). For a site-wide health check (orphan pages, cannibalization, stale content, schema across all posts) use blog-audit instead.

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。