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
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.
Plugin jobs-2b-done from marketplace the-human-stack in jabberlockie/the-human-stack-plugins-public. Commands read from the repo's manifest — 1 month ago.
jtbd-analysis/jobs-2b-done:jtbd-analysisRun Jobs-to-be-Done analysis on a call transcript from pasted text, ~~conversation intelligence link, or ~~knowledge base meeting transcript. Saves to company folder with ~~CRM connections and populates the JTBD Analyses Notion database.
/jobs-2b-done:jtbd-catchupFind meeting transcripts from the past week (or N days) that don't have a JTBD analysis yet, and run analysis on each one as background agents.
/jobs-2b-done:jtbd-seriesFind all meetings in a coaching/training/recurring series for an organization and run JTBD analysis on the full series, building session-by-session context.
/jobs-2b-done:jtbd-synthesisSynthesize patterns across multiple JTBD call analyses — surface recurring jobs, evolving patterns, emerging frameworks, and audience segments across companies, folders, and engagement stages.
hubspotconnects to: https://mcp.hubspot.com/anthropic
notionconnects to: https://mcp.notion.com/mcp
firefliesconnects to: https://api.fireflies.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
Discover brand materials across enterprise platforms, generate LLM-ready guidelines, and enforce brand voice on AI content.
3 skills · 3 commands · 5 agents · 7 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
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
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