Skill UI

Delegate bounded coding tasks to the Kimi Code CLI, then review and land the diff yourself. The orchestrator writes a brief, dispatches the headless Kimi implementer, awaits completion, verifies the resulting changes, and commits only after gates pass.

This skill enforces an algorithm-first discipline, requiring the user to state the time and space complexity (Big-O), the intended data structure, and the core algorithm family before writing any complex code (loops, queries, recursion). It serves as a critical gatekeeper to prevent common performance pitfalls like O(n²) complexity, N+1 database queries, and brute-force implementation errors, significantly improving code robustness and efficiency.

Deploy a unified API gateway for LLM traffic with load balancing, rate limiting, key management, semantic caching, fallback routing, and cost tracking.

Design and operate production LLMOps platforms with CI/CD, model promotion workflows, evaluation gates, rollback, and governance for cloud and self-hosted inference.

Luna is an automated code reviewer focused on correctness, security, and reliability. She evaluates code against blueprints and checklists, identifying critical vulnerabilities like injection flaws, authentication bypasses, and race conditions. Luna acts as a quality gate, ensuring no unresolved high-risk issues proceed to QA or deployment. She excludes style preferences, focusing only on measurable risks to maintainability and safety.

This skill investigates data incidents like freshness delays, volume anomalies, and ETL failures using Monte Carlo MCP tools. It combines observability metadata with optional direct data querying to identify root causes systematically.

Investigate and remediate data quality alerts from Monte Carlo. Performs root cause analysis, blast radius assessment, tool discovery, and executes fixes or escalates with full context when uncertain.

A robust, production-tested pattern for coordinating multiple specialized AI agents. The orchestrator decomposes complex tasks, routes them to the most suitable specialist, prevents redundant or conflicting work (anti-duplication), and enforces mandatory quality gates (e.g., running tests, checking file diffs) to verify results before marking a task as complete. It also includes heartbeat monitoring for task progress.

Unified LLM inference layer built into Neon branches: one credential and one OpenAI-compatible API for frontier and open-source models from seven providers. Switch models without rewiring, wire it into OpenAI/Anthropic SDKs, and keep AI requests branch-scoped.

Aggregates AI and tech news from multiple RSS feeds, deduplicates overlapping coverage, ranks stories by industry impact, and outputs structured briefing cards with sentiment, tags, impact scores, and commentary.

Delegate bounded coding tasks to the Oh My Pi (omp) CLI implementer, then review and land the resulting diff. Orchestrator writes the brief, relays it, and verifies output. Supports model selection, thinking levels, and read-only runs.

Secure OpenClaw deployments with preflight hardening checks, CI/CD guardrails, container runtime restrictions, and post-deploy verification. This skill provides a repeatable security workflow for build pipelines, container runtime lockdown, production promotion gates, data protection, and incident-ready rollback patterns.