Results for “customer-issues”

Manage Zendesk support tickets via the `zd` CLI. Use when the user asks about Zendesk tickets, support tickets, customer issues, helpdesk operations, or ticket triage. Covers listing, searching, creating, updating, and deleting tickets, plus authentication setup and Zendesk search queries. Triggers on tasks involving "zendesk", "zd", "support ticket", "ticket queue", "helpdesk", or "customer support".

Package a customer escalation for engineering, product, or leadership as a decision-ready handoff — impact, timeline, facts vs. hypotheses, and a specific ask with an owner.

Turn a resolved support issue into a search-friendly, self-service knowledge-base article that deflects future tickets — with internal notes kept separate.

Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe.

Triage customer feedback into themes, urgency, draft responses, and escalation notes.

Analyze NPS, CSAT, and qualitative customer feedback to extract themes, identify trends, and generate actionable insight reports. Use when the user requests customer feedback analysis or provides relevant inputs for this workflow.

Customer insight specialist for audience understanding. Use when defining target audience, buyer personas, customer pains, value mapping, problem discovery, audience language. Triggers: 'who would buy this', 'target audience', 'buyer persona', 'customer pain points', 'ideal customer', 'user problems', 'value proposition', 'audience research'.

Lead customer success with retention strategies, health scoring, expansion revenue, and lifecycle management.

Use to reconstruct what actually happened to one customer across every conversation, channel and handoff, for an escalation, complaint, post-mortem or goodwill decision. Trigger for "build a timeline for this customer", "what happened on this case", "summarize the back-and-forth before I decide", "when were they first told", escalation summaries, complaint investigations, or a case spanning several tickets.

Build detailed ideal customer profiles with pain points, objections, buying triggers, and messaging angles. Includes community research to find where ICPs gather online and extract their exact language. Use when researching audiences, creating buyer personas, or developing targeted messaging.

Uncover customer jobs, pains, and gains in a structured JTBD format to clarify unmet needs, reposition products, or improve discovery and messaging.

Friendly, professional customer service specialist for any industry — handling inquiries, complaints, account support, FAQs, and seamless escalation with warmth, efficiency, and a genuine commitment to customer satisfaction

`task-agent`/`review-agent`: use when broker delivery, ordering, acknowledgement, DLQ, backpressure, or replay changes; skip synchronous retry without message semantics.

Comprehensive retail customer returns specialist for processing returns, exchanges, and refunds across in-store, online, and omnichannel retail — handling policy enforcement, fraud prevention, customer retention, vendor returns, and returns analytics to maximize recovery while preserving customer loyalty

Use to audit how payment disputes, chargebacks and unrecognised-transaction claims are handled against scheme deadlines and evidence standards. Trigger for "audit our dispute handling", "chargeback quality review", "are we meeting scheme deadlines", unrecognised transaction claims, provisional credit decisions, or a customer complaining their dispute was rejected unfairly.

Create, manage, triage, and close GitHub issues. Search existing issues, add labels, assign people, and link to PRs. Works with gh CLI or falls back to git + GitHub REST API via curl.

Create, search, triage, and label GitHub issues using the gh CLI or REST API, with guidance on avoiding duplicates and managing the backlog.

Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.

生成电商在线文字客服的可执行处理方案和正式交付文档。适用于客户回复、售前咨询、催发货、物流履约、退换货、质量问题、补偿争议、差评投诉、私聊舆情询问、聊天截图分析、客服标准流程、权限矩阵、升级规则和自动客服配置。不适用于电话客服、线下接待、媒体公关、客服培训质检、真实系统操作或法律责任最终认定。

Use to find upgrade, seat-growth and new-use-case signals that customers give support and nobody routes anywhere. Trigger for "find upsell opportunities in support", "customers hitting plan limits", "which accounts are asking about enterprise features", expansion signals from tickets, or support-sourced pipeline.

Automate customer engagement workflows including broadcast triggers, message analytics, segment management, and newsletter tracking through Customer.io via Composio.

Stripe payments integration — checkout, subscriptions, webhooks, customer portal, pricing tables.

Expert customer support specialist delivering exceptional customer service, issue resolution, and user experience optimization. Specializes in multi-channel support, proactive customer care, and turning support interactions into positive brand experiences.

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.

Write clear, searchable help center articles and FAQ entries based on support data, product documentation, and common customer questions. Use when the user requests knowledge base article writing or provides relevant inputs for this workflow.

Use to identify signals of customer vulnerability in support conversations and audit whether they were recognised and acted on. Trigger for "identify vulnerable customers", "did we spot the vulnerability signals", "customers in financial difficulty", bereavement or health disclosures in support, vulnerable customer handling audits, or designing vulnerability recognition for a support team.

Load this skill when the user says "review issue", "review-issue", or "/review-issue". Reviews an implemented GitHub issue against its requirements and the project coding standards, acting as a critical tech-lead review pass before merging.

Comprehensive customer success and retention expertise combining onboarding, health scoring, churn prevention, retention strategies, and LTV maximization. Use when designing customer onboarding flows, reducing churn, building health scores, creating retention systems, designing upsells, or improving customer lifetime value. Covers proactive engagement, cancel flows, dunning, re-engagement, and the full customer lifecycle.

Look up a Stripe customer by email or ID

Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities to identify friction points and improve user experience.

Map customer journeys from awareness to advocacy by visualizing touchpoints, identifying drop-off points, analyzing channel interactions, and optimizing the end-to-end experience.

Use to design or audit the executive escalation path for a major account — intake, ownership, communication cadence and follow-through — so escalations are resolved rather than merely attended. Trigger for "design our escalation process for key accounts", "an executive escalation went badly", "customer went to our CEO", red account war rooms, or escalations that get attention and then quietly stall.

Use to audit a help centre or knowledge base against the conversations customers actually have, finding coverage gaps, stale articles and unused content. Trigger for "what should we write help articles about", "audit our knowledge base", KB coverage gaps, self-service deflection content, or preparing a knowledge base to ground an AI support agent.

Turn owner feedback about agent behavior into concrete system changes. Use when the owner says something is off, wants the assistant to improve how it operates, asks for a reflection, or wants a durable fix instead of a one-off apology.