By jabberlockie
Design, audit, and rehearse training sessions. Structured intake to concept map to breakdown. Timing checks, engagement checks with scripted questions, survey generation, slide review, dry-run coaching, and story harvesting from transcripts.
Analyze recorded session walkthrough against run-of-show. Feedback on pacing, stories, energy, riffs. Use for "dry run feedback", "coach my rehearsal".
Audit session for passive stretches. Flags problems with exact scripted questions and timers. Use for "engagement check", "energy audit".
Design training sessions from intake to concept map to breakdown. Pulls from Notion. Use for "design a session", "new training", "build a workshop".
Evaluate Canva slides for narrator mode and working-memory gaps. Two-axis review. Use for "review my slides", "check my deck", "slide review".
Find story options for a section concept or harvest stories from Notion transcripts into a reusable library. Use for "find me a story", "harvest stories".
External network access
Connects to servers outside your machine
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npx claudepluginhub jabberlockie/the-human-stack-plugins-public --plugin instructional-designerThree-layer AI context framework for project development. Bootstraps docs/architect/ with Product, Project, and Task layers. Auto-commits on plan approval and nudges feature-dev for implementation.
Expectation Architecture for all delivery modes. Routes context to the right mode (strategy, keynote, training), maps expectations, detects mode drift, designs deliverables, evaluates sessions. 16 skills across orchestration, strategy, keynote, and training. Built on UX² = User Expectations × User Experience.
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.
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.
Brand Voice transforms scattered brand materials into enforceable AI guardrails — automatically. It searches across Notion, Google Drive, Confluence, Gong, Slack, and meeting transcripts to distill your strongest brand signals into a single source of truth, then applies them to every piece of AI-generated content. The more your team creates with Claude, the more consistent your brand becomes.
Evidence-based instructional design pipeline. 11 skills backed by peer-reviewed research across 11 domains. Analyze, design, build, review, and export courses with every recommendation citing its evidence tier.
Comprehensive teaching lifecycle suite for university professors: design → build → assess → deliver → reflect → improve. 15 skills, 89 modes, 76-agent ensemble, Course Passport state, alignment + quality gates, spec-driven submission auditing, AI-era assessment integrity, plus extensions: slide-deck rendering, executable labs, video scripting, course publishing, TA coordination, accreditation mapping, bilingual courseware, learner analysis (学情分析), course dashboard.
A personal AI tutor based on Bloom's 2-sigma research: it generates a structured syllabus, teaches one adaptive lesson at a time, and tailors each next lesson to the learner's highlights and feedback. Bundles the bloom-tutor tutoring skill plus six learn-* learning-method skills.
Interactive learning companion — creates personalized learning plans, quizzes with adaptive difficulty, and tracks progress across sessions
Memory compression system for Claude Code - persist context across sessions
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.