Use when writing or reviewing Java code in this repo that enables Deepgram intelligence overlays on `/v1/listen` audio transcription - diarization, entity detection, sentiment, summarize, topics, intents, language detection, and redaction. Same endpoint as plain STT, but with extra request fields on `ListenV1RequestUrl` or `MediaTranscribeRequestOctetStream`. Use `deepgram-java-speech-to-text` for plain transcripts and `deepgram-java-text-intelligence` for analysis on existing text. Triggers include "audio intelligence", "diarize", "summarize audio", "sentiment from audio", "topic detection", and "redact".

Parallel OWASP Top 10:2025 security review of a web application codebase using 10 specialist agents. Trigger whenever the user asks for a security review, security audit, OWASP review, vulnerability assessment, code security scan, or threat analysis of a web app codebase. Also trigger on mentions of "OWASP Top 10", "security vulnerabilities", "code audit", "AppSec", or requests to check code for injection, XSS, access control, auth, or crypto issues. Trigger for casual requests like "is my code secure?", "check for vulnerabilities", or "any security issues?". Launches 10 parallel agents (one per OWASP category) producing a report with context-sensitive remediations. Secrets found are flagged but always shown as REDACTED.

Splits mixed Server/Client Next.js pages into clean boundaries — extracts client logic into `*Client.tsx`, rewrites `page.tsx` as a pure Server Component, flags repeated JSX for componentisation, and detects styling inconsistencies across the codebase. Trigger on: refactor requests, mixed Server/Client files, pages >200 LOC with hooks, duplicated JSX, or any style drift between components.

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

Automatically performs git bisect to identify the first bad commit that introduced a bug or failure. Use when debugging regressions, tracking down when a test started failing, or identifying which commit broke functionality. Handles flaky tests with retry logic and provides comprehensive reports with bisect logs and confidence levels.

Generate structured proof skeletons with tactics, strategies, and intermediate lemmas for theorems in Isabelle/HOL or Coq. Use when users need to: (1) Create proof outlines for theorem statements, (2) Generate proof structure with tactic placeholders, (3) Identify key lemmas needed for a proof, (4) Plan proof strategies (induction, case analysis, forward/backward reasoning), (5) Scaffold proofs with intermediate steps and subgoals, or (6) Convert theorem statements into detailed proof templates. Supports both Isabelle/HOL and Coq equally.

Validate API consistency between two versions of Java libraries. Use when you need to compare API behavior, signatures, and exceptions between Java library versions to identify breaking changes, incompatible modifications, and behavior differences. The skill performs static analysis of Java code, compares method signatures, class definitions, interface changes, parameter types, return types, exception declarations, and generates a detailed JSON report with breaking changes, warnings, and migration guidance. Supports Java libraries and packages.

Generate Dockerfiles, Docker Compose configurations, and Kubernetes manifests for containerizing applications. Use when: (1) Creating Dockerfiles for Node.js, Python, Java, Go, or other applications, (2) Setting up multi-service environments with Docker Compose, (3) Generating Kubernetes deployments, services, and ingress configurations, (4) Optimizing container images for production, (5) Implementing containerization best practices. Provides both ready-to-use templates and custom-generated configurations based on project requirements.

Centralized configuration management with feature flags and dynamic refresh.

Master on-call shift handoffs with context transfer, escalation procedures, and documentation. Use this skill when transitioning on-call responsibilities between engineers and ensuring the incoming responder has full situational awareness, when writing a shift summary that captures active incidents, ongoing investigations, and recent changes, when handing off mid-incident so a fresh engineer can take over the incident commander role without losing context, when onboarding a new engineer to the on-call rotation for the first time, or when auditing and improving the quality of existing handoff processes across teams.

Apply production-ready LangChain SDK patterns for structured output, fallbacks, batch processing, streaming, and caching. Trigger: "langchain SDK patterns", "langchain best practices", "idiomatic langchain", "langchain architecture", "withStructuredOutput", "withFallbacks", "abatch".

Understand and handle CodeRabbit and GitHub API rate limits for review automation. Use when hitting rate limits on @coderabbitai commands, automating review queries, or building scripts that interact with CodeRabbit via the GitHub API. Trigger with phrases like "coderabbit rate limit", "coderabbit throttling", "coderabbit too many requests", "github api rate limit coderabbit".

Handle Clay rate limits, webhook throttling, and credit pacing strategies. Use when hitting 429 errors, managing webhook submission rates, or optimizing throughput within Clay's plan limits. Trigger with phrases like "clay rate limit", "clay throttling", "clay 429", "clay slow", "clay records per hour".

Identify and avoid the top Clay anti-patterns, gotchas, and integration mistakes. Use when reviewing Clay integrations for issues, onboarding new team members, or auditing existing Clay table configurations. Trigger with phrases like "clay mistakes", "clay anti-patterns", "clay pitfalls", "clay what not to do", "clay gotchas", "clay code review".

Deploy Clay-powered applications to Vercel, Cloud Run, or Docker with proper secrets management. Use when deploying Clay webhook receivers, enrichment pipelines, or CRM sync services to production infrastructure. Trigger with phrases like "deploy clay", "clay Vercel", "clay production deploy", "clay Cloud Run", "clay Docker", "host clay integration".

Process use when you need to ensure database integrity through comprehensive data validation. This skill validates data types, ranges, formats, referential integrity, and business rules. Trigger with phrases like "validate database data", "implement data validation rules", "enforce data integrity constraints", or "validate data formats".

Find and compare DeFi yield opportunities across protocols with APY calculations, risk assessment, and optimization recommendations. Use when searching for yield farming opportunities, comparing DeFi protocols, or analyzing APY/APR rates. Trigger with phrases like "find DeFi yields", "compare APY", "best yield farming", "optimize DeFi returns", "stablecoin yields", or "liquidity pool rates".

Post-migration async/await and .NET 10 performance optimization pass for Blazor apps migrated from Web Forms. Applies modern runtime patterns after the app builds and runs. WHEN: "run L3 optimization", "apply async/await fixes", "optimize migrated Blazor app", "AsNoTracking queries", "StreamRendering", "IDbContextFactory pattern", "what .NET 10 optimizations can we apply", "generate L3 report".