'custom' 검색 결과

Turn interviews, surveys, support conversations, and public reviews into evidence-based customer insights. Identify recurring problems, buying triggers, and customer language, then build research reports, quote collections, or personas and plan interviews or surveys to fill gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze customer interview transcripts
• Find recurring themes in reviews and support tickets
• Build customer personas from research evidence

Run Customgpt operations through Rube MCP, which connects your agent to external tools. The skill searches for available actions, checks connection status, and follows current input requirements when executing supported tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore available Customgpt operations
• Check the Customgpt connection before execution
• Retrieve further pages of operation results

Run Customgpt operations through Rube MCP, which connects your agent to external tools. The skill searches for available actions, checks connection status, and follows current input requirements when executing supported tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore available Customgpt operations
• Check the Customgpt connection before execution
• Retrieve further pages of operation results

Use when designing deployable Salesforce configuration with Custom Metadata Types, especially when choosing between CMTs, Custom Settings, and Custom Objects, protecting packaged defaults, or exposing config to Apex, Flow, and formulas. Triggers: 'custom metadata vs custom settings', 'deployable config', 'protected custom metadata', 'feature flags in Salesforce'. NOT for hierarchical Custom Settings resolution, getInstance/getValues, or their SOQL cost — use admin/custom-metadata-types-and-settings. NOT for high-churn transactional or user-managed business records — use admin/object-creation-and-design. NOT for secrets — use integration/named-credentials-setup. More trigger keywords: __mdt, CustomMetadata .md file, customMetadata folder, getInstance, getAll, xsi:type, visibility PackageProtected, MetadataRelationship, EntityDefinition field, $CustomMetadata.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Customjs operations through an AI agent using Rube MCP and Composio. It finds relevant tools, checks the required inputs and connection status, and runs operations using the specifications returned by the search.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find Customjs tools for a specific task
• Verify the Customjs connection before execution
• Run bulk operations with discovered tools

Automate Customjs operations through an AI agent using Rube MCP and Composio. It finds relevant tools, checks the required inputs and connection status, and runs operations using the specifications returned by the search.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find Customjs tools for a specific task
• Verify the Customjs connection before execution
• Run bulk operations with discovered tools

Use when choosing between Custom Metadata Types and Custom Settings, understanding hierarchical vs list settings, deployment behavior, governor limit implications, or accessing either from Apex and Flow. Trigger keywords: 'custom metadata vs custom settings', 'hierarchical settings per user profile', 'deployable config vs runtime settings', 'getValues getInstance in apex', 'flow get records custom settings'. NOT for modelling the CMT itself or protecting packaged defaults — use admin/custom-metadata-types. NOT for records users edit as business data — use admin/object-creation-and-design. NOT for secrets — use integration/named-credentials-setup. More trigger keywords: customSettingsType, customSettingsVisibility, SetupOwnerId, getOrgDefaults, getAll, DUPLICATE_VALUE in test, SeeAllData custom settings, enableAdvancedCSSecurity, customSettingAccesses, org default profile user override.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Review customer retention and customer success plans through six focused questions. Examine churn causes, customer segments, staffing capacity, hiring, and compensation, then produce a decision report with a verdict and three concrete next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating declining customer retention
• Reviewing a proposed customer success team expansion
• Reassessing customer segments and service levels

Analyze SaaS customer data with three Python tools that calculate account health, rank churn risk, and prioritize expansion opportunities. Use repeatable weighted scores to plan customer outreach and prepare quarterly business reviews.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Scoring customer health across an account portfolio
• Prioritizing outreach to accounts at risk of leaving
• Ranking upgrade and additional-seat opportunities

When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," or "find out why customers churn/convert/buy." Use for both analyzing existing research assets AND gathering new research from online sources. For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," or "find out why customers churn/convert/buy." Use for both analyzing existing research assets AND gathering new research from online sources. For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," or "find out why customers churn/convert/buy." Use for both analyzing existing research assets AND gathering new research from online sources. For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," or "find out why customers churn/convert/buy." Use for both analyzing existing research assets AND gathering new research from online sources. For writing copy informed by research, see copywriting. For acting on research to improve pages, see page-cro.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Identify customers whose purchases have fallen behind their usual rhythm, prioritize them by past value and warning signs, and draft personalized follow-ups. Send approved messages and log activity, stopping the sequence when a reply arrives.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding regular customers who have stopped ordering
• Prioritizing customers for renewed contact
• Drafting personalized messages to reconnect

Plan customer retention and customer success staffing for a startup. Break down renewal and churn patterns, group customers by value and fit, and compare service models to guide resource allocation and hiring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing retention metrics and reasons for churn
• Allocating support investment across customer tiers
• Estimating customer success staffing needs

Automate Customer.io broadcasts and review delivery, open, and click metrics through Composio. Retrieve audience segments, newsletters, transactional message templates, and broadcast execution history to support targeting and track customer messaging.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Triggering a configured broadcast for a selected audience
• Reviewing delivery, open, and click metrics
• Checking audience segments before targeting

Build custom cognee processing by chaining Python tasks, defining data types, and saving results to graph and vector databases. Use it to enrich existing data, inspect run status, and troubleshoot how tasks pass data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building custom extraction and processing steps
• Saving custom data types to graph and vector databases
• Adding information to an existing graph

Find prospective customers resembling your best existing customers, identify relevant decision makers, and rank them by fit, buying signals, and ease of contact. Results include reasons to reach out, source information, and a full XLSX list.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding companies similar to your best customers
• Building a prioritized prospect list
• Identifying decision makers and contact routes

Bring together public reviews, complaints, and customer activity to identify recurring issues and customers who may leave. Produce evidence-backed themes, review reply drafts in the owner's voice, and personalized messages to win back inactive customers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding recurring issues across reviews and complaints
• Drafting replies to positive and negative reviews
• Identifying customers whose ordering has slowed

Manage the recorded list of vendors that process customer data and check advance notices and audit evidence. The skill also explains temporary staff access to customer accounts, including access limits, revocation, and the actions recorded in customer audit logs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a vendor that processes customer data
• Checking notice timing before sending data to a new vendor
• Retrieving notification evidence for an auditor

Automate Customer.io broadcasts and review delivery, open, and click metrics through Composio. Retrieve audience segments, newsletters, transactional message templates, and broadcast execution history to support targeting and track customer messaging.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Triggering a configured broadcast for a selected audience
• Reviewing delivery, open, and click metrics
• Checking audience segments before targeting

Define ideal customer profiles and buyer personas with structured frameworks. Use when the user asks about ideal customer profile, ICP, buyer persona, target audience definition, customer segmentation, customer research, user interviews, or persona creation. Trigger phrases include "ideal customer profile", "ICP", "buyer persona", "who is my customer", "target audience", "customer profile", "persona", "customer segmentation", "user research", "customer interview", "who should I target".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Find customers’ exact words about a feature, objection, or competitor across meeting transcripts and emails. Organize quotes with speaker details, dates, sources, and context, while showing which accounts lack source coverage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collect customer quotes about a feature
• Review objections raised during sales calls
• Find customer comments about competitors