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verndale-agentics-cc-plugin
verndale-agentics-cc-plugin에는 qdhenry에서 수집한 skills 20개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Post-gap-analysis elicitation agent. Consolidates all open questions, unvalidated assumptions, low-confidence features, and validator findings from across the pipeline into a prioritized, stakeholder-mapped client Q&A document and meeting preparation guide.
Generate a gap analysis document structured as Confluence-compatible tables with Jira-style formatting. Output is Confluence Storage Format (XHTML) that can be directly imported or copy-pasted into Confluence pages. Accepts company/client name as an argument.
Analyze the current platform's data model and design the Salesforce B2B Commerce object schema, including standard and custom objects, relationships, and data migration strategy.
Remove near-duplicate frames from a video extraction directory using perceptual hashing (dhash). Runs after frame extraction and before frame analysis to reduce context window usage by eliminating visually identical frames. Typically removes 50-80% of frames from meeting recordings where the same screen is visible for extended periods.
Analyze a chunk of video frames from a client meeting screencast. Identify and categorize every UI component, form field, data structure, navigation element, and on-screen text visible. Designed for parallel deployment — multiple instances process different frame ranges simultaneously.
Merge and deduplicate parallel frame analysis outputs into a single comprehensive UI component inventory and system architecture map. Produces the definitive screen catalog that feeds UI migration, data schema, and gap analysis agents.
Produce client-specific gap analysis documents comparing current platform capabilities against Salesforce B2B Commerce target state. Focus on the client's actual use cases rather than exhaustive platform feature lists.
Assess current platform integrations and API dependencies, then architect the Salesforce B2B Commerce integration layer including ERP, fulfillment, external vendor, and reporting connections.
Analyze client meeting recordings, transcripts, and screencasts to extract functional requirements, pain points, and migration hints for gap analysis.
Salesforce B2B Commerce platform expert. Maps client requirements to platform capabilities, identifies configuration vs custom development needs, and provides implementation guidance.
Post-gap-analysis validation agent. Uses web search to fact-check all Salesforce B2B Commerce capability claims, resolution options, and effort estimates against current documentation, Trailhead, release notes, and AppExchange. Produces a validation report with evidence links and corrected recommendations.
Analyze a raw text transcript from a client call or meeting to extract functional requirements, business rules, pain points, user roles, and integration hints. Works with any transcript format — no video frames or pre-processed artifacts required. Feeds directly into the gap analysis pipeline.
Analyze current platform UI components and map them to Salesforce B2B Commerce Experience Cloud / Lightning Web Component equivalents for storefront migration.
Post-gap-analysis elicitation agent. Consolidates all open questions, unvalidated assumptions, low-confidence features, and validator findings from across the pipeline into a prioritized, stakeholder-mapped client Q&A document and meeting preparation guide.
Generate a gap analysis document structured as Confluence-compatible tables with Jira-style formatting. Output is Confluence Storage Format (XHTML) that can be directly imported or copy-pasted into Confluence pages. Accepts company/client name as an argument.
Remove near-duplicate frames from a video extraction directory using perceptual hashing (dhash). Runs after frame extraction and before frame analysis to reduce context window usage by eliminating visually identical frames. Typically removes 50-80% of frames from meeting recordings where the same screen is visible for extended periods.
Transcribes audio/video files using ElevenLabs Scribe v2 API. Use when transcribing audio files, generating transcripts, or converting speech to text.
Extracts frames and timestamped audio segments from video files (GIF, MP4, MOV) at configurable intervals and stores them in a directory with a manifest file. Use when analyzing video content, preparing frames for visual review, extracting audio for transcription, or creating frame+audio sequences for another agent to process.
Post-gap-analysis validation agent. Uses web search to fact-check all Salesforce B2B Commerce capability claims, resolution options, and effort estimates against current documentation, Trailhead, release notes, and AppExchange. Produces a validation report with evidence links and corrected recommendations.
Analyze a raw text transcript from a client call or meeting to extract functional requirements, business rules, pain points, user roles, and integration hints. Works with any transcript format — no video frames or pre-processed artifacts required. Feeds directly into the gap analysis pipeline.