uxinator
claudeExpectation Architecture for all delivery modes. Routes context to strategy, keynote, or training mode. Maps expectations, detects mode drift, designs deliverables, and evaluates sessions.
17 skills · 5 commands · 6 MCP servers
Discover brand materials across enterprise platforms, generate LLM-ready guidelines, and enforce brand voice on AI content.
Plugin brand-voice from marketplace the-human-stack in jabberlockie/the-human-stack-plugins-public. Commands read from the repo's manifest — 1 month ago.
brand-voice-enforcementThis skill applies brand guidelines to content creation. It should be used when the user asks to "write an email", "draft a proposal", "create a pitch deck", "write a LinkedIn post", "draft a presentation", "write a Slack message", "draft sales content", or any content creation request where brand v
discover-brandThis skill orchestrates autonomous discovery of brand materials across enterprise platforms (Notion, Confluence, Google Drive, Box, SharePoint, Figma, Gong, Granola, Slack). It should be used when the user asks to "discover brand materials", "find brand documents", "search for brand guidelines", "au
guideline-generationThis skill generates, creates, or builds brand voice guidelines from source materials. It should be used when the user asks to "generate brand guidelines", "create a style guide", "extract brand voice", "create guidelines from calls", "consolidate brand materials", "analyze my sales calls for brand
/brand-voice:discover-brandSearch connected platforms for brand materials and produce a discovery report
/brand-voice:enforce-voiceApply brand guidelines to content creation
/brand-voice:generate-guidelinesGenerate brand voice guidelines from documents, transcripts, discovery reports, or any combination
content-generationGenerates brand-aligned sales and marketing content by applying brand guidelines to specific content requests. Use this agent for long-form content, batch generation, or when multiple brand constraints must be balanced simultaneously. <example> Context: The brand-voice-enforcement skill needs to gen
conversation-analysisAnalyzes sales call transcripts to extract brand voice patterns, messaging effectiveness, and tone variations. Use this agent when processing multiple transcripts or performing deep pattern recognition across conversations. <example> Context: The guideline-generation skill has 10 sales call transcri
discover-brandAutonomously searches enterprise platforms to discover brand-related documents, transcripts, and design assets. Use when the user wants to build brand guidelines but doesn't know where materials are, or wants a comprehensive brand content audit. <example> Context: User wants to create brand guidelin
document-analysisAnalyzes brand documents to extract voice attributes, messaging, terminology, and examples. Use this agent when processing multiple brand documents or performing cross-document pattern recognition. <example> Context: The guideline-generation skill has received 5 brand documents to process. user: "Ge
quality-assuranceValidates content and brand guidelines against brand standards. Use this agent to check compliance, consistency, completeness, and open question coverage before finalizing output. <example> Context: The brand-voice-enforcement skill has generated a cold email and wants to validate it against guideli
notionconnects to: https://mcp.notion.com/mcp
atlassianconnects to: https://mcp.atlassian.com/v1/mcp
boxconnects to: https://mcp.box.com
figmaconnects to: https://mcp.figma.com/mcp
gongconnects to: https://mcp.gong.io/mcp
microsoft-365connects to: https://microsoft365.mcp.claude.com/mcp
granolaconnects to: https://mcp.granola.ai/mcp
Expectation Architecture for all delivery modes. Routes context to strategy, keynote, or training mode. Maps expectations, detects mode drift, designs deliverables, and evaluates sessions.
17 skills · 5 commands · 6 MCP servers
Ingest Claude Code JSONL session transcripts into Supabase for analytics and learning loop closure. Log, batch-ingest, and query session data across all your repos.
6 skills · 3 commands · 4 MCP servers · hooks
Design, audit, and rehearse training sessions. Timing checks, engagement checks, survey generation, slide review, dry-run coaching, and story harvesting.
7 skills · 2 MCP servers
Jobs 2B Done -- Run JTBD analysis on sales, coaching, and industry call transcripts with UXinator Expectation Mapping. Pulls transcripts from Notion or pasted text, enriches with HubSpot and Clay connections, tracks coaching series with session numbering, saves structured analysis to organized folders, and populates the JTBD Analyses Notion database.
1 skill · 4 commands · 3 MCP servers
Three-layer AI context framework. Bootstraps docs/architect/ with Product, Project, and Task layers. Auto-commits on plan approval and nudges feature-dev for implementation.
3 skills · hooks
Talk like caveman. Cut filler. Keep technical details explicit.
22 skills · 1 command · 3 agents · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
tasteskill 2.5.1: professional company websites at the figma.com and x.ai level, with one section per screen, real photographs, real product UI, effects kept for tech and gaming pages, and a real-browser checker and finish gate.
1 skill
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Package any website or local web build into a lightweight desktop app with Pake CLI.
1 skill
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.