kubernetes-debugger

Assist with Kubernetes interactions including debugging (kubectl logs, describe, exec, port-forward), resource management (deployments, services, configmaps, secrets), and cluster operations (scaling, rollouts, node management). Use when working with kubectl, pods, deployments, services, or troubleshooting Kubernetes issues.

AWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source mappings, or managing layers.

Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.

Extracts traces, observations, and metrics from Langfuse Cloud (EU) API for debugging, telemetry analysis, and regulatory audit trails. Generates ALCOA+ compliant reports, exports to pandas DataFrame, and supports time-range/user/session filtering. Use when investigating production issues, generating compliance documentation, or analyzing LLM costs and performance. MUST BE USED for pharmaceutical audit trail generation requiring GAMP-5 traceability.

Persistence and human-in-the-loop patterns for LangGraph. Use when implementing checkpointing, saving/restoring graph state, adding human approval workflows, managing conversation memory across sessions, enabling time-travel debugging, or building fault-tolerant agents that resume from failures.

Design-focused grid layout system with fluid scaling, responsive columns, and resolution-independent patterns. Use when creating page layouts, card grids, or multi-column designs.

Builds composable layout components (Stack, Cluster, Grid, Sidebar, Center, Cover). Use when creating layout systems, spacing compositions, or Every Layout-style intrinsic design patterns that adapt without breakpoints.

Analyze leap year calculations, calendar systems, and date validation logic. Use this when the user asks about leap year rules, calendar types (Gregorian, Julian, Hebrew, Chinese), year range validation (1582-9999), mathematical formulas, or needs to understand the core leap year detection algorithms.

Implicit feedback scoring, confidence decay, and anti-pattern detection. Use when understanding how the swarm plugin learns from outcomes, implementing learning loops, or debugging why patterns are being promoted or deprecated. Unique to opencode-swarm-plugin.

Deliver personalized, adaptive tutoring that meets learners where they are.

Load when working with KapanRouter instructions, UTXO tracking, flash loan flows, or debugging transaction failures

Letta framework for building stateful AI agents with long-term memory. Use for AI agent development, memory management, tool integration, and multi-agent systems.

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Select and configure linear solvers for systems Ax=b in dense and sparse problems. Use when choosing direct vs iterative methods, diagnosing convergence issues, estimating conditioning, selecting preconditioners, or debugging stagnation in GMRES/CG/BiCGSTAB.

Fetch tasks from Linear backlog and handle user selection. Saves selected task context for use in feature/bug/plan workflows. Reduces context usage by consolidating Linear API interactions.

List the contents of an npm package tarball before publishing. Use when the user wants to see what files are included in an npm bundle, verify package contents, or debug npm publish issues.

Debug the live solution at home.st44.no using Chrome browser tools

Systematically diagnose and fix LLM output issues.

Supabase database query patterns, RLS policies, migration records, and nested join patterns. Use this skill when writing database queries, understanding RLS behavior, debugging query errors, or implementing new migrations.

Use this to run and debug the UI + server locally (Vite dev server, `lotar serve`, ports, SSE).

Start local development environment with backend and macOS app

Local development environment management for Polar using Docker

Expert localization decisions for iOS/tvOS: when runtime language switching is needed vs system handling, pluralization rule complexity by language, RTL layout strategies, and string key architecture. Use when internationalizing apps, handling RTL languages, or debugging localization issues. Trigger keywords: localization, i18n, l10n, NSLocalizedString, Localizable.strings, stringsdict, plurals, RTL, Arabic, Hebrew, SwiftGen, language switching

Implement centralized logging with ELK Stack, Loki, or Splunk for log collection, parsing, storage, and analysis across infrastructure.

Analyze application and system logs to identify errors, patterns, and root causes. Use log aggregation tools and structured logging for effective debugging.

Analyze application logs to detect errors, patterns, anomalies, and generate insights. Use when troubleshooting issues or analyzing system behavior.

Log problems, bugs, and debugging processes with solutions. Use when encountering issues during development, debugging problems, or documenting solutions for future reference. Maintains DEBUG_LOG.md with structured problem-solution entries.

Reads and analyzes application logs for debugging and monitoring.

View and analyze WaveCap-SDR server logs, debug output, and error messages. Use when troubleshooting server issues, debugging API errors, monitoring SDR device status, or investigating capture/channel problems.

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Logic optimization and image-based code tasks with Codex CLI in --yolo mode. Use when (1) optimizing code logic or algorithms, (2) processing image inputs (screenshots, diagrams, mockups) to generate or modify code, (3) refactoring business logic, (4) debugging complex logic issues, (5) code generation from visual references, or (6) any task requiring image attachment for context.

Manage car logo fetching, scraping, and Vercel Blob storage in the logos package. Use when adding new car brand logos, updating logo sources, debugging brand name normalization, managing Vercel Blob storage, or optimizing logo caching.

Implements session replay and error tracking with LogRocket for debugging user issues. Use when adding session recording, error monitoring, and performance tracking to React applications.

View shella daemon and plugin logs. Use when debugging issues, checking what happened, or monitoring plugin output.

Audit websites for SEO, technical, content, security, JS rendering, and AI readiness using SEOmator CLI. Returns LLM-optimized reports with health scores across 251 rules and 20 categories. Use when analyzing websites, debugging SEO issues, or checking site health.

Learn how to integrate Langfuse with Agno via OpenTelemetry

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Consult PostgreSQL's pg_dump implementation for guidance on system catalog queries and schema extraction when implementing pgschema features

Research libraries, APIs, and patterns using searchGitHub and Exa tools. Finds real-world implementations and saves structured reports to docs/research/. Use when investigating technologies, debugging issues, or comparing options.

Create, debug, or modify QStash workflows for data updates and social media posting in the API service. Use when adding new automated jobs, fixing workflow errors, or updating scheduling logic.

Create and manage Claude Code skills in HASH repository following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns), UserPromptSubmit hook, and the 500-line rule. Includes validation and debugging with SKILL_DEBUG. Examples include rust-error-stack, cargo-dependencies, and rust-documentation skills.

Strategies for efficient context management using context_log, context_tag, and context_checkout. Learn when to tag, how to visualize the graph, and safe ways to squash history. Use for complex refactoring, debugging, and long conversations.

AI-powered JavaScript reverse engineering tool. 资深JavaScript逆向工程专家助手。Actions: collect, search, deobfuscate, understand, summarize, detect-crypto, browser, debugger, breakpoint, debug-step, debug-eval, debug-vars, script, hook, stealth, dom, page. Capabilities: 混淆代码分析、VM破解、Webpack解包、AST转换、Puppeteer/CDP自动化、反检测、指纹伪造、加密识别、参数提取、算法还原、Canvas/WebGL指纹、WebDriver隐藏、CDP调试、断点分析、动态追踪、Hook注入、DOM检查、页面控制。

Use radar for multi-framework smart contract AST generation and security analysis. Supports Rust (Anchor, native, Stylus) and Solidity (standard, Foundry). Triggers include generating AST, finding vulnerabilities, debugging via AST output, writing security templates, contributing detection rules, or working with radar's template DSL. Use when users mention radar, AST generation for Rust/Solidity/Anchor/Stylus/Foundry, smart contract parsing, vulnerability detection, template development, or security scanning.

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