TMNL Docker infrastructure documentation. Service topology, health checks, troubleshooting. Model-invoked when debugging containers or understanding service architecture.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →TMNL Docker infrastructure documentation. Service topology, health checks, troubleshooting. Model-invoked when debugging containers or understanding service architecture.
Managing instance actor orchestrations for PostgreSQL health monitoring. Use when debugging stale actors, restarting actors, or troubleshooting health check issues.
Third-party WordPress plugin integration patterns. Use when adding new integrations, debugging compatibility with other plugins, or working with existing integrations.
Apply intellectual honesty principles when debugging errors, reporting project status, and providing time estimates. Use this skill when encountering compiler warnings, preparing progress reports, or negotiating project timelines with management.
Comprehensive systematic debugging agent for hunting down complex bugs, root causes, and error propagation across full stack (frontend, backend, APIs, databases). Use when diagnosing errors, troubleshooting issues, analyzing stack traces, investigating bugs, examining logs, debugging performance problems, or tracking down error causes. Also use when users mention debugging, errors, bugs, failures, crashes, exceptions, or unexpected behavior.
Debug and optimize AI agents by analyzing reasoning traces. Activates on 'debug agent', 'optimize prompt', 'analyze reasoning', 'why did the agent fail', 'improve agent performance', or when diagnosing agent failures and context degradation.
Use when analyzing low-level interrupt behavior - debugging interrupt handler issues, investigating crashes or triple faults, verifying privilege level transitions, analyzing register corruption between interrupts, or understanding interrupt sequencing and timing issues.
Automatically investigate logs when errors occur, debugging issues, or troubleshooting problems. Check frontend logs (LogViewer) and backend logs (daily log files) for error patterns. Use when user reports bugs, errors appear, or functionality isn't working as expected.
Use for root cause analysis of bugs or issues. Systematically investigates problems to identify underlying causes.
investigating-hms-internals
Generate weekly PagerDuty incident reports for fan-audio and fusion services with root cause analysis from GCP logs. Outputs a Word document ready to paste into Slack.
Use when there are 2+ consecutive failures, repeated errors, or the work feels stuck - pauses implementation, switches to root-cause investigation, gathers evidence, and resumes only after a verified plan and options
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Guide to accessing device logs on iOS and Android for Capacitor apps. Covers command-line tools, GUI applications, filtering, and real-time streaming. Use this skill when users need to view device logs for debugging.
Expert knowledge for iOS audio processing, pitch detection algorithms (HPS, YIN, FFT), DSP implementation, and AudioKit integration. Use this when implementing pitch detection, debugging audio accuracy issues, working with AVAudioEngine, or optimizing audio DSP performance for mobile.
iOS/React Native development with Expo. Use when working on mobile app, running builds, debugging device issues, or setting up development environment including tethering.
Take screenshots from physical iOS devices connected via USB using pymobiledevice3. Use when capturing screenshots from real iPhones/iPads (not simulators), debugging on-device, or needing high-fidelity device captures. Triggers on physical iOS device screenshots, pymobiledevice3 usage, or USB-connected device capture tasks.
ios-simulator-debug
Capture and analyze iOS simulator screenshots for visual debugging
Start real-time log streaming from connected iPhone to console and file. Shows only app's explicit log messages with [APP] prefix. Use when monitoring app behavior, debugging, or viewing logs.
Multi-conversation methodology for iterative stateful work with context accumulation. Use when users request work that spans multiple sessions (research, debugging, refactoring, feature development), need to build on past progress, explicitly mention iterative work, work logs, project knowledge, or cross-conversation learning.
java-best-practices-debug-analyzer
Create a git branch with naming convention linked to a Jira issue.
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Orientation to facet-format JIT deserialization (tiering, fallbacks, key types/entry points) and where to look when changing or debugging JIT code
Clone external repositories into work/ directory for examination and source code research. Use when needing to understand third-party dependency implementations, debug upstream issues, or research API usage patterns. (project)
Understand and debug how jsgui3 SSR markup becomes activated client-side, including persisted fields (data-jsgui-fields) and ctrl_fields (data-jsgui-ctrl-fields), and where to patch/plugin.
Full-stack Kubernetes guidance: kubectl, Helm, ArgoCD GitOps, networking, secrets, debugging. Includes patterns from this repo's `k8s/` homelab setup.
k8s-sre
Debug pods, services, deployments, and networking issues in Kubernetes.
Kubernetes ops skill for deploying, operating, and troubleshooting services on Kubernetes. Use for tasks like writing manifests/Helm, configuring deployments/services/ingress, autoscaling, observability, RBAC, secrets/configmaps, rollout/rollback, incident debugging, and production readiness checks.
Deploy containerized web applications to any Linux server using Kamal. Use when users need to deploy, configure, debug, or manage Kamal deployments including initial setup, configuration of deploy.yml, deployment workflows, rollbacks, managing accessories (databases, Redis), troubleshooting deployment issues, or understanding Kamal commands and best practices.
Kessoku compile-time DI with parallel initialization for Go. Use when writing or debugging kessoku providers/injectors, enabling async dependencies, migrating from google/wire, or fixing go:generate/codegen issues in Go services.
Diagnoses Kirby rendering/runtime issues using MCP runtime rendering, dump traces, and template/snippet/controller indexes. Use when outputs are wrong, errors occur, or tracing execution paths is required.
Expert guidance for creating, configuring, and using Claude Code hooks. Use when working with hooks, setting up event listeners, validating commands, automating workflows, adding notifications, or understanding hook types (PreToolUse, PostToolUse, Stop, SessionStart, UserPromptSubmit, etc).
Configure and control kitty terminal emulator using kitten commands, kitty.conf settings, remote control, and session automation. Use when working with kitty terminal, kittens, kitty.conf, terminal automation, or debugging kitty sessions.
knowledge-extractor
Koin dependency injection framework for Kotlin. Use for Kotlin DI, Android development, Ktor backend, Compose Multiplatform, dependency injection patterns, and module definitions.
Add Timber logging statements to Kotlin Android files. Analyzes code logic to insert debug, info, warning, and error logs at function entry/exit, conditionals, try-catch blocks, and state changes. Only accepts Kotlin files (.kt). Use via /timber command.
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.
Load when working with KapanRouter instructions, UTXO tracking, flash loan flows, or debugging transaction failures