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概要と使いどころ
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。
Write customer case studies and success stories using the Situation-Complication-Resolution (SCR) narrative framework and Barbara Minto's Pyramid Principle (conclusion first). Produces case studies where the headline states the result, the complication makes readers recognize their own situation, and every paragraph advances the story. Use when the user asks for a case study, customer story, customer success story, win story, reference write-up, or "turn this customer into a case study". Reads brand voice and service catalog from knowledge/. For a press announcement, see press-release-writer. For pitching the story to media, see pr-pitch-writer. For repurposing it into social, see content-repurposer.
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 customer health signals, identify churn risk flags, and generate an intervention playbook. Use when user says "churn risk", "customer at risk", "red account", "at-risk customer", "health score dropped", "renewal at risk", "customer going dark", "cancel risk", or "what's wrong with this account" - even if they don't say "churn" explicitly. Applies to CSMs triaging accounts or building proactive retention workflows.
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 building custom channel integrations with the Agentforce Agent API or BYOC (Bring Your Own Channel) for CCaaS — covering session lifecycle management, webhook handling, externalSessionKey design, sequenceId sequencing, BYOC Interaction API integration, and conversation state management. NOT for standing up a standard channel (Embedded Service, Slack, Experience Cloud, Messaging) — use agentforce/agent-channel-deployment. NOT for writing the Apex actions the agent invokes — use agentforce/custom-agent-actions-apex.
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 overriding the default UI of an Agentforce agent action's Apex input or output with your own Lightning web components via a LightningTypeBundle (schema.json + editor.json/renderer.json, lightning__AgentforceInput / lightning__AgentforceOutput targets, the @apexClassType binding). NOT for standard agent actions with primitive inputs/outputs (only Apex-class input/output can be overridden), NOT for Flow screen custom property editors (use flow/flow-custom-property-editors), and NOT for general LWC-in-Lightning-page work (use lwc/* skills).
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 creating a new Experience Cloud site: selecting LWR vs Aura template, configuring branding and navigation, setting up a custom domain, and using Experience Builder. Trigger keywords: create new Experience Cloud site, LWR vs Aura template, set up community portal domain, Experience Builder page builder, branding sets, navigation menu configuration, Microsite LWR, Build Your Own LWR. NOT for coding LWR themes or custom components — use lwc/lwr-site-development. NOT for deploying a finished site to another org — use devops/experience-cloud-deployment-admin. Also covers the deployable metadata: Network, CustomSite, NavigationMenu, ExperienceBundle, DigitalExperienceBundle, urlPathPrefix, networkMemberGroups, emailSenderAddress, site status Live vs UnderConstruction.
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 admins are reducing Chatter signal-to-noise across an org — covers org-level Chatter Email Settings, per-user Email Settings preferences, group-level email digest frequency (Daily / Weekly / Every post / Never), bell-icon Custom Notifications vs Chatter feed-post tradeoffs, automated-feed suppression on record types via Feed Tracking config, and the Chatter Settings org defaults that control whether new users start with everything-on. Triggers: 'chatter feed full of automated posts nobody reads', 'users complain about chatter email volume', 'turn off chatter notifications for a specific group', 'change default chatter digest frequency', 'stop process builder posts from filling the feed', 'NotificationFrequency invalid value', 'ChatterEmailsMD.settings will not deploy', 'custom notification recipient limit'. NOT for Custom Notifications API design (use apex/apex-custom-notifications-from-apex), NOT for Connect API / Chatter REST API integration patterns (use apex/apex-connect-api-chatter), NOT for Chatter group lifecycle, archiving, ownership and unlisted-group governance (use admin/chatter-group-governance).
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 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。
Drafts SEC/FINRA-compliant Broker-Dealer Customer Agreements covering account opening, trading, margin, fees, risk disclosures, privacy, arbitration, and execution. Use when drafting or updating customer account agreements, brokerage agreements, or customer documentation for registered broker-dealers.
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。
エラーや例外シナリオを顧客体験(CX)の観点で体系的に分析し、改善優先度を付ける スキル。6軸評価（影響度・頻度・復旧容易性・メッセージ品質・感情的影響・ ビジネスコスト）でスコアリングし、Impact vs Effort マトリクスで改善施策を 優先順位付けする。Use when analyzing error scenarios from customer experience perspective, evaluating error message quality, prioritizing error UX improvements, or creating CX-focused error analysis reports. Triggers: "CXエラー分析", "error experience", "エラーUX改善", "customer experience error", "エラーメッセージ品質", "error scenario analysis", "顧客体験エラー評価"
Synthesises a batch of customer feedback (survey answers, reviews, ticket and chat comments) into a DRAFT themed report: coded themes with record counts and shares, anonymised verbatim quotes cited to record codes, contradictions and unverified claims, and the follow-up questions to answer next. Produces no sentiment score or percentage positive as fact; ratings appear only as distributions with n. Use when the user asks to "theme this feedback", "what are customers saying", "summarise these survey answers", "analyse these reviews", "find the top complaints in these comments" or "code this voice of the customer data". Do not use for exit interviews, use exit-interview-synthesis instead; for sorting a live queue and drafting replies, use ticket-triage-pack; for project retrospectives, use lessons-learned-synthesis. 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 WooCommerce transactional emails the classic PHP-template way (NOT the block email editor) — extend WC_Email, declare $id / $title / $template_html / $template_plain / $placeholders, hook trigger() to a woocommerce_order_status_*_notification action, register via the woocommerce_email_classes filter. Plus the canonical template-override pattern (copy templates/emails/*.php to your theme's /woocommerce/emails/ folder; wc_get_template resolves them automatically), and the get_default_subject / get_default_heading override pattern for admin-customizable strings. Use when adding a new transactional email (custom shipped notification, vendor split, internal alert), overriding an existing template, or customizing strings that the admin Settings cannot reach. Triggers on WC_Email, woocommerce_email_classes, woocommerce_order_status_*_notification, wc_get_template_html, template_html / template_plain in WC context, "transactional email" / "send WooCommerce email programmatically".
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。
Pick an icon strategy and produce a coherent icon set that doesn't look mass-produced. Solves the "Lucide everywhere" problem — every AI-generated UI uses the same 24px stroke-1.5 outline icons, which is the second-biggest vibecoded tell after Inter-on-purple-gradient. Generates custom SVG sets, tunes existing icon libraries to match archetype + typography, defines stroke weight, optical sizing, and corner-radius rules. Load when the user asks to pick icons, design an icon set, customize Lucide / Phosphor / Heroicons, generate SVG icons, make icons feel custom, says "the icons look generic", "design a custom icon system", "icons for this product", or when frontend-design routes here during icon craft. Sub-skill of frontend-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。
Run Mom Test–style customer-discovery interviews to validate or kill an unbuilt idea — generate a non-leading interview guide, conduct or coach the conversations, and synthesize signal vs compliments. Load when the user asks to do customer discovery, run problem interviews, validate an idea with users, run a Mom Test, design an interview guide, or says "talk to customers", "validate the problem", "interview users", "Mom Test this", "did real users want it", "synthesize my interviews", "I just talked to N people". Sub-skill of `venture-exploration`. Hard-bans "would you use this?", solution-pitching, friend/family-only ICP, and treating compliments as validation. Calls `secure-*` before synthesizing any pasted external transcripts.
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。
Complete guide for AutoFixture and xUnit integration. Use when you need to use AutoData or InlineAutoData to simplify xUnit parameterized test data preparation. Covers custom Customization and test data attributes to improve test readability and maintainability. Keywords: AutoData, InlineAutoData, AutoFixture xUnit, [AutoData], [InlineAutoData], AutoDataAttribute, ICustomization, DataAttribute, parameterized test, Theory AutoData, MemberAutoData, test data attributes, fixture.Customize
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。
文章をAIが扱う小さな単位に分け、大量のテキスト処理や独自の語彙学習を支援するスキル。分割結果と元の文章の位置対応、入力の長さ調整も扱います。
Official GSAP skill for GSAP plugins — registration, ScrollToPlugin, ScrollSmoother, Flip, Draggable, Inertia, Observer, SplitText, ScrambleText, SVG and physics plugins, CustomEase, EasePack, CustomWiggle, CustomBounce, GSDevTools. Use when the user asks about a GSAP plugin, scroll-to, flip animations, draggable, SVG drawing, or plugin registration.
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。
Automate customer engagement workflows including broadcast triggers, message analytics, segment management, and newsletter tracking through Customer.io via Composio
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。
Official GSAP skill for GSAP plugins — registration, ScrollToPlugin, ScrollSmoother, Flip, Draggable, Inertia, Observer, SplitText, ScrambleText, SVG and physics plugins, CustomEase, EasePack, CustomWiggle, CustomBounce, GSDevTools. Use when the user asks about a GSAP plugin, scroll-to, flip animations, draggable, SVG drawing, or plugin registration.
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。
When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' 'partner program,' 'referral incentive,' 'how to get referrals,' 'customers referring customers,' 'affiliate payout,' 'get more reviews,' 'G2 reviews,' 'review campaign,' or 'respond to a bad review.' Use this whenever someone wants existing users or partners to bring in new customers. For launch-specific virality, see launch.
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。
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for custom binary or text protocol recovery, handshake reconstruction, framing, sequence control, checksums, stateful replay, and accepted-session reproduction. Use when the user asks to decode an unknown protocol, recover custom framing, build a replay harness, satisfy sequence or checksum rules, replay a captured session, or prove the smallest message order that reaches an accepted branch. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
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 agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
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。
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
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。