By jabberlockie
Three-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.
Initialize and manage the Architect three-layer context framework for any project
Manage a Linear project board: fetch issues, assess state, plan waves by dependency, and update issue status. Use for "/pm", "/pm status", "/pm plan", "/pm wave".
Pick the highest-priority unblocked Linear issue, build it, open a PR, and update issue state. Use for "/ship", "/ship next", "/ship HOARD-XX".
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Sign in to claimExpectation 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.
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.
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.
npx claudepluginhub jabberlockie/the-human-stack-plugins-public --plugin architectMake your AI agent code with your project's architecture, rules, and decisions.
Context-Driven Development plugin that transforms Claude Code into a project management tool with structured workflow: Context → Spec & Plan → Implement
Knowledge production: project bootstrap, project init, generation of context artifacts (skills, agents, rules, commands, hooks), mermaid diagrams, learn, discovery
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.