Skill UI

Expert guide for building durable distributed systems with the Temporal Go SDK, covering deterministic workflow rules, mTLS worker configuration, advanced patterns, and testing/observability strategies for production workloads.

Master Temporal workflow orchestration using the Python SDK. Covers durable workflows, saga patterns, and distributed transactions. Includes guidance on async/await execution models, worker configuration, activity implementation, error handling, retry policies, and signal/query patterns. Ideal for building reliable, scalable distributed systems and production-ready workflow applications with Python.

This skill provides a systematic, multi-step approach to identify and resolve all failing unit tests within a codebase. It guides the user through smart error grouping (e.g., grouping by ImportError or AttributeError), prioritizing fixes from infrastructure to business logic, and ensuring thorough verification to prevent regressions. Ideal for use after major refactoring, debugging CI/CD failures, or when explicitly tasked with making the test suite pass.

This skill reviews generated or changed test code against universal testing rules before deployment. It prevents common failure modes like mock-heavy unit tests, near-duplicate test bodies, and tests that re-verify the framework. It enforces best practices such as testing behavior over implementation, justifying mocks at system boundaries, and ensuring every test has a clear justification. Use it when reviewing diffs, new test files, or when writing new tests to ensure high-quality, maintainable test suites.

TextMe is a local daemon that transforms your smartphone into a powerful remote control for Claude Code sessions. By bridging inbound iMessages (from whitelisted numbers) through services like Sendblue, users can interact with their AI session on their laptop, executing code, navigating filesystems, sending voice notes, and receiving real-time updates. Ideal for supervising headless workstations or coding while away from your desk.

This advanced protocol forces the AI to conduct a thorough context audit before attempting any complex task. It mandates reading every relevant file, identifying architectural gaps, and providing a detailed orientation statement. It is essential for multi-file modifications, system design, and debugging to prevent acting on assumptions and maintain high code accuracy. The AI cannot proceed until all unknown variables are resolved.

This skill involves conducting threat modeling using the STRIDE methodology to identify potential security threats, assess risks, and design appropriate security controls. It is essential when designing secure systems, making architectural changes, or preparing for security audits. The process includes analyzing data flows, identifying trust boundaries, and mitigating risks related to spoofing, tampering, repudiation, information disclosure, denial of service, and privilege escalation.

This skill specializes in threat modeling methodologies like STRIDE and PASTA for security architecture reviews and risk assessment. It helps identify attack vectors, prioritize security risks, and design mitigation strategies to build secure-by-design systems. Ideal for security audits and system design phases.

Implement physically based sky and aerial perspective systems in Three.js for planetary atmospheres and ground-to-space transitions. Includes Rayleigh/Mie scattering, precomputed LUTs, depth-based transmittance, and atmosphere-aware lighting.

Direct advanced Three.js camera systems for scale-aware chase rigs, thrust lag, side/orbit cameras, body-relative up vectors, quaternion handoffs, authored cinematic framing, floating origins, pointer-look controls, camera collision constraints, projection ownership, and lifecycle restoration.

Construct a structured rendering pipeline for advanced Three.js scenes, managing shared buffers and signal ordering. Supports depth, normals, albedo, bloom, tone mapping, and grading. Ideal for composing multiple image-space systems rather than single effects. Ensures proper exposure metering and output conversion.

Create realistic weather effects in Three.js by coupling precipitation particles with surface responses. This skill covers snow accumulation, wet puddles, rain streaks, and splash animations. It ensures visual consistency between falling weather and ground interaction, including wind, wetness transitions, and procedural normals for immersive 3D environments.