Skill UI

Enables orchestrating Textcortex workflows through Rube MCP/Composio by discovering the latest tool schemas, ensuring connections stay active, and executing schema-compliant multi-tool calls for text generation and management tasks.

Tracks and runs regression suites, automating execution of critical tests and analyzing outcomes so Claude highlights failures, flaky checks, and stability impacts before deployments.

Guides product teams to convert major initiatives into structured hypotheses that spell out the action, beneficiary, outcome, and validation steps so uncertainties surface before roadmaps or delivery planning.

This expert skill reviews the architecture and design of the Bitcoin Lightning Network protocol. It analyzes complex Layer 2 scaling tradeoffs, compares various channel factory approaches, and evaluates critical technical aspects—including trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness guarantees, and watchtower support. Use this when assessing the cryptographic and systemic soundness of L2 blockchain protocols.

A comprehensive technical reference for implementing advanced Lightning Network channel factories. It covers complex topics such as multi-party channels, Layer 2 scaling on Bitcoin, and advanced protocols including Decker-Wattenhofer invalidation trees, MuSig2 key aggregation, and encrypted Noise NK transport. Essential for developers building highly scalable and secure Bitcoin infrastructure.

An expert guide detailing the SuperScalar protocol and Bitcoin Lightning channel factories. It explains scalable onboarding mechanisms using shared UTXOs, advanced cryptographic structures like Decker-Wattenhofer trees, and MuSig2. This knowledge is vital for understanding how Bitcoin can scale significantly without requiring disruptive soft forks.

Guides product managers from stakeholder requests to structured Opportunity Solution Trees by extracting outcomes, enumerating opportunities, mapping solutions, and evaluating experiments to select the best proof of concept before building.

Guides teams through an empathy-driven problem framing that captures the persona, desired outcome, blockers, root causes, and feelings before jumping into solutions.

Use the Recommendation Canvas to vet AI product concepts by mapping business and customer outcomes, hypotheses, positioning, risks, and success metrics so you can make defensible investment recommendations.

Guides product managers through strategic roadmap planning by orchestrating prioritization, epic definition, stakeholder alignment, and release sequencing into a structured workflow that turns strategy into executable outcomes and keeps stakeholders aligned.

A comprehensive expert for deploying and scaling AI agents using AWS Bedrock AgentCore. This guide covers the full lifecycle of agent management, including service selection (Gateway, Runtime, Memory, Identity, etc.), deployment patterns, credential management, and advanced integration workflows required for enterprise-scale AI solutions.

A comprehensive framework for building high-stakes board and investor update decks. It guides users through structuring narratives, covering all C-suite perspectives (CFO, CRO, CPO, etc.), and effectively communicating both positive and negative business outcomes during board meetings, quarterly reviews, or fundraising rounds. Focuses on storytelling over mere data display.