**Version 1.0.0**
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 →**Version 1.0.0**
Implement CloudWatch monitoring, error tracking with Sentry, structured logging, and alert configuration. Apply when setting up monitoring, tracking errors, debugging production issues, or configuring dashboards.
Smart context compaction that preserves critical information. Apply when context usage approaches 60-80% to recover usable context without losing important decisions, progress, or reasoning.
Log all file changes (write, edit, delete) to a SQLite database for debugging and audit. Use when: (1) Tracking code changes, (2) Debugging issues, (3) Auditing file modifications, or (4) The user asks to track file changes.
Use when implementing complex multi-step tasks, fixing critical bugs, or when quality and completeness matter more than speed - ensures comprehensive implementation without shortcuts through systematic analysis, implementation, and verification phases
Debug production-like issues in this repository with disciplined evidence gathering. Use when fixing failing workflows, regressions, flaky behavior, or data inconsistencies across hooks, API, DB, websocket, and UI.
Debug your AI systems through Langfuse observability.
Instrument web/web-app code with structured debug logging via a global variable (window.__debug_logs). Produces a clean JSON timeline for reproducing and diagnosing bugs. Use when user wants to debug a feature or track down a bug.
Instruments programs to record execution information for deterministic replay debugging. Use when debugging hard-to-reproduce bugs (race conditions, timing issues, intermittent failures, heisenbugs), reproducing production failures, or analyzing complex execution sequences. Records non-deterministic events (I/O, threading, randomness, time) to enable exact replay of program executions. Supports Python, JavaScript, Java, and C/C++ with both custom instrumentation and existing replay tools.
Receive and verify Webflow webhooks. Use when setting up Webflow webhook handlers, debugging signature verification, or handling Webflow events like form_submission, site_publish, ecomm_new_order, or collection item changes.
Comprehensive guide to implementing RAG systems including vector database selection, chunking strategies, embedding models, and retrieval optimization. Use when building RAG systems, implementing semantic search, optimizing retrieval quality, or debugging RAG performance issues.
Deploys Puppeteer browser automation on Google Cloud Run with Docker. Use when running headless browser tasks on Cloud Run, or when the user mentions Cloud Run, Puppeteer, headless Chrome, or serverless browser automation.
Provides SQL query optimization techniques, indexing strategies, and EXPLAIN analysis for improving database performance and eliminating slow queries. Use when debugging slow SQL queries or when the user mentions SQL optimization, slow queries, or database performance.
Teach cross-session memory patterns using MEMORY.md — what to save, how to organize it, how to maintain it over time, and how to structure topic files as memory grows. Works in any Claude Code project with no external dependencies. Trigger words: remember this, save for later, across sessions, persistent memory, don't forget, note this, keep this, write this down.
When something breaks, the instinct is to start changing code — adding logs, tweaking values, commenting things out. This is probing, not debugging. Probing works sometimes, but it scales poorly and t
Debug GitHub Actions workflows by downloading logs, analyzing summaries, and understanding how agentic workflows and the AWF firewall work together.
Validate, run, and execute workflows; creating new workflows when explicitly asked. Use when orchestrating AI agents via YAML workflow files, executing an existing workflow, debugging execution, configuring routing between agents, setting up human-in-the-loop gates, or understanding workflow YAML schema. Only create new workflows when explicitly asked.
'Expert guidance on building and deploying apps to WendyOS edge devices. Use when developers mention: (1) Wendy or WendyOS, (2) wendy CLI commands, (3) wendy.json or entitlements, (4) deploying apps to edge devices, (5) remote debugging Swift on ARM64, (6) NVIDIA Jetson or Raspberry Pi apps, (7) cross-compiling Swift for ARM64.'
Guides development and maintenance of the FigUI3 web components library for Figma-style plugin UIs. Applies when adding or modifying `fig-*` custom elements, updating docs/demo pages, adjusting theme tokens, improving accessibility, or debugging component behavior in `fig.js`, `components.css`, `index.html`, and `README.md`.
Systematically finds and fixes bugs using proven debugging techniques. Traces from symptoms to root cause, implements fixes, and prevents regression.
Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches.
Build resilient applications with robust error handling strategies that gracefully handle failures and provide excellent debugging experiences.
Expert in Langfuse - the open-source LLM observability platform.
Validate n8n expression syntax and fix common errors. Use when writing n8n expressions, using {{}} syntax, accessing $json/$node variables, troubleshooting expression errors, or working with webhook data in workflows.
Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo Router data loaders (useLoaderData).
Use the Obsidian CLI to read, create, search, and manage vault content, or to develop and debug Obsidian plugins and themes from the command line.
Use when debugging any bug. Enforces a 5-phase protocol where code edits are blocked until root cause is confirmed. Prevents premature fix attempts.
Comprehensive techniques for capturing, analyzing, and documenting network protocols for security research, interoperability, and debugging.
6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.
Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.
Persistent browser and Electron interaction through `js_repl` for fast iterative UI debugging.
Design and analysis of combinational and sequential digital circuits using Boolean algebra, truth tables, K-maps, CMOS gate implementation, flip-flops, registers, counters, and finite state machines. Covers De Morgan's theorems, canonical sum-of-products and product-of-sums forms, minimization techniques, propagation delay, setup and hold times, metastability, synchronous design discipline, and FSM encoding. Use when designing, minimizing, verifying, or debugging any circuit whose signals take only discrete logic values.
Foundations of breath practice and seated meditation across traditions — diaphragmatic mechanics, pranayama families (ujjayi, nadi shodhana, bhramari, kapalabhati, bhastrika, sitali, sheetkari), buffer-safe breath-retention posture, shikantaza and koan traditions in Sōtō and Rinzai Zen, secular clinical mindfulness as MBSR translates it, and engaged-mindfulness pedagogy as Plum Village teaches it. Use when setting up a breath practice, designing a meditation sit, debugging a stalled practice, or deciding whether a given technique is safe for a given person.
Experimental methods for physics including measurement, uncertainty analysis, and experimental design. Covers the scientific method applied to physics, the SI unit system, significant figures, uncertainty and error analysis (systematic vs. random, propagation of uncertainty), dimensional analysis (Buckingham Pi theorem), experimental design (controls, variables, reproducibility), data analysis (linear regression, chi-squared, curve fitting), lab safety, landmark physics experiments (Millikan, Cavendish, photoelectric effect, Michelson-Morley), graphical analysis, and order-of-magnitude estimation (Fermi problems). Use when designing experiments, analyzing data, reporting measurements, or making back-of-the-envelope estimates.
Data collection, analysis, and interpretation for scientific inquiry. Covers measurement and units, data recording and organization, descriptive and inferential statistics, graphical representation, error analysis, drawing valid conclusions from evidence, and recognizing the limits of data. Use when collecting, analyzing, visualizing, or interpreting scientific data at any level.