Systematic debugging workflow with hypothesis testing
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 →Systematic debugging workflow with hypothesis testing
Debug and diagnose Thread mesh networks and OpenThread Border Routers. Use when troubleshooting Thread connectivity, analyzing Router Advertisements, testing IPv6 reachability to Thread devices, inspecting Thread Network Data, or diagnosing Border Router configuration issues.
Deploy to the production VPS (archivist@194.163.189.144) and iteratively debug failures until successful deployment.
Debug crashes, segfaults, and memory errors using valgrind integration with nextest through pre-configured profiles
Guides developers through scenario test debugging using Ruby debug gem step execution. Provides interactive debugging patterns and test helper context.
Systematic bug investigation and resolution workflow with root cause analysis.
Expert at advanced debugging and root cause analysis. Use when troubleshooting complex issues, finding root causes of bugs, investigating performance problems, or analyzing system failures.
Comprehensive debugging guide for Capacitor applications. Covers WebView debugging, native debugging, crash analysis, network inspection, and common issues. Use this skill when users report bugs, crashes, or need help diagnosing issues.
A reasoning pattern for diagnosing and fixing bugs that span multiple abstraction layers in complex systems.
You are a data engineer debugging a failed Airflow DAG. Follow this systematic approach to identify the root cause and provide actionable remediation.
Debugs Docker build failures, container runtime errors, platform architecture issues (ARM64/AMD64/WSL2), AWS ECR/ECS pull failures, and optimizes Docker workflows. Use when encountering Docker build errors, container crashes, ECR authentication issues, ECS deployment problems, performance issues, networking failures, volume permission errors, or when working with multi-platform Docker images.
Expert in systematic debugging, root cause analysis, profiling, and performance troubleshooting. Use when stuck on bugs, investigating errors, or optimizing performance.
Systematically debug issues with reproduction steps, error analysis, hypothesis testing, and root cause fixes. Use when investigating bugs, analyzing production incidents, or troubleshooting unexpected behavior.
Sistematik debugging döngüsü - reproduce, isolate, hypothesize, fix.
Comprehensive protocol for validating root causes of software issues. Use when you need to systematically debug a complex bug, flaky test, or unknown system behavior by forming hypotheses and validating them with specific tasks.
Apply systematic root cause analysis and debugging methodologies to diagnose and fix bugs, test failures, and unexpected behavior. Use when encountering production issues, investigating test failures, diagnosing performance problems, tracing error sources through call stacks, analyzing logs and stack traces, reproducing inconsistent bugs, debugging race conditions, investigating memory leaks, or applying scientific method to problem-solving before proposing fixes.
Comprehensive debugging strategies, tools, and techniques for efficiently identifying and fixing bugs across different environments.
Use when encountering bugs or test failures - systematic debugging using debuggers, internet research, and agents to find root cause before fixing
Structured decision critic that systematically stress-tests reasoning before commitment surfacing hidden assumptions verifying claims and generating adversarial perspectives to improve decision quality.
Autonomous decision-making CLI for strategy development (project)
Decision-making methodologies, scoring frameworks, and planning strategies for Group 2 agents in four-tier architecture
Document major decisions made
Load past architectural decisions. Use when making new decisions to ensure consistency.
Identify misplaced files and organize project structure following open-source best practices, while delegating refactoring to specialized skills
Use when you need to create an execution plan from a feature spec - handles worktree context, dispatches subagent for task decomposition, validates quality, analyzes dependencies, groups into phases, and commits the plan
Break down large tasks into smaller, actionable items. Use when planning sprints, estimating work, or creating implementation plans. Covers task breakdown strategies.
Three-pass critical reading framework for systematic document analysis. Supports tech blogs, retrospectives, technical documentation, personal writing, and academic papers. Primary focus on Third Pass critical analysis, context validation, and actionable reconstruction. Use when analyzing complex documents, performing critical reading, extracting actionable insights, or conducting deep analysis. Triggers include Third Pass, 비판적 분석, critique, 깊이 읽기, 심층 분석.
Enter and manage Deep Work sessions in Agent Hive. Use this skill when starting a focused work session on a project, generating session context, following the handoff protocol, or managing your responsibilities as an agent during a work session.
Use when discussing or working with DeepEval (the python AI evaluation framework)
Deep codebase initialization with hierarchical AGENTS.md documentation
Creates a job.yml specification by gathering workflow requirements through structured questions. Use when starting a new multi-step workflow.
Sense accessibility barriers with gentle awareness. Listen to the forest, scan for obstacles, test the paths, guide toward inclusion, and protect all wanderers. Use when auditing accessibility, testing for a11y, or ensuring inclusive design.
Guide for implementing DefectDojo - an open-source DevSecOps, ASPM, and vulnerability management platform. Use when querying vulnerabilities, managing findings, configuring CI/CD pipeline imports, or working with security scan data. Includes MCP tools for direct API interaction.
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
'Create a comprehensive SEO_STRATEGY.md covering both traditional SEO and Generative Engine Optimization (GEO) for AI platforms. Requires CUSTOMER.md to exist first. Includes platform-specific tactics for Google AI Overviews, ChatGPT, Perplexity, Claude, and Gemini with effort/impact prioritization.'
Locks in specific versions for the Tourly project tech stack. Use when initializing the project or adding new core dependencies.
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Use when user mentions 'climpt' or 'climpt-agent', or gives project-specific instructions where general knowledge is insufficient. Climpt provides pre-configured prompts tailored to the project's workflow.
Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing to specialist agents. Ensures agents receive complete context for effective work.
Deliberation-debate-red-teaming is a structured adversarial process where you intentionally challenge plans, designs, or decisions from multiple critical perspectives to surface blind spots, hidden as
Test-Driven Development patterns for testing AI deliberation features. Use when adding new deliberation features, adapters, convergence detection, or decision graph components. Encodes TDD workflow: write test first → implement → verify.
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
Delta Live Tables (DLT) pipeline patterns and examples for building declarative, self-healing data pipelines with automatic quality enforcement and lineage tracking.
Essential Deno TypeScript practices for ALL Deno development: configuration, imports, testing, permissions, and anti-patterns. Read this skill for any Deno project setup, dependency management, or core development work.
Organize DI registrations using IServiceCollection extension methods. Group related services into composable Add* methods for clean Program.cs and reusable configuration in tests.
Expert dependency manager specializing in package management, security auditing, and version conflict resolution across multiple ecosystems. Masters dependency optimization, supply chain security, and automated updates with focus on maintaining stable, secure, and efficient dependency trees.
You are an expert in dependency security analysis, vulnerability assessment, and supply chain security. You specialize in identifying security risks in project dependencies, implementing automated sec
Automated package dependency verification skill that validates npm and Python package versions from package.json and requirements.txt files. Uses parallel subagents (1 per 10 dependencies) to efficiently verify packages exist and match specified versions in npm/PyPI registries.
Wrap third-party libraries for testability and replaceability. Use when integrating external APIs, creating testable code, or building swappable implementations.