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

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.

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.

'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.

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.

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.

Safe deployment of Polymarket trading bot with regression tests and active trade protection

CI/CD pipeline, GitHub Actions, automated deployment, release management, production shipping, and software delivery.

Deploy to production environments with safety checks. Use when releasing code to production. Not for staging deploys or local builds unless specifically requested.

Build React applications that connect to Algorand wallets and interact with smart contracts using typed clients.

Provides comprehensive Render.com deployment standards covering environment configuration, database migrations, cron jobs, health checks, log management, and production best practices for web services

Provides comprehensive Vercel deployment standards optimized for Next.js applications, covering environment configuration, edge functions, serverless architecture, database integration, cron jobs, and production best practices

Prepares applications for production by generating Dockerfiles, CI/CD pipelines, and platform configurations. Supports Docker, Vercel, Netlify, and GitHub Actions.

Specialized skill for deploying Next.js applications to AWS using SST (Serverless Stack) or Vercel, with DynamoDB integration, IAM configuration, and infrastructure as code. Use when setting up AWS resources or deploying production applications.

Deploys a VirtualMCPServer configuration locally for manual testing and verification

**MANDATORY before creating TodoWrite:**

Deploy applications with confidence using CI/CD pipelines, containerization, and infrastructure as code. Covers GitHub Actions, Docker, Vercel, and cloud deployment patterns. Triggers on deployment, CI/CD, Docker, GitHub Actions, or DevOps requests.

Deployment automation specialist for CI/CD pipelines and infrastructure. Use when setting up deployment, configuring CI/CD, or managing releases.

Эксперт по deployment документации. Используй для гайдов по деплою, CI/CD и release processes.

Managing LangGraph Cloud deployments through listing, filtering, and cleanup operations. Use when managing test deployments, cleaning up orphaned resources, filtering by name patterns, or handling bulk deletion. Automatically sources credentials from devcontainer environment.

Deployment Orchestrator Skill

Platform-specific deployment scripts and configurations. Use when deploying applications, configuring cloud platforms, validating deployment environments, setting up CI/CD pipelines, or when user mentions Vercel, Netlify, AWS, Docker, deployment config, build scripts, or environment validation.

Deployment workflows, pre-deploy validation, and smoke testing patterns. Use when deploying to staging or production, running smoke tests, or validating deployments.

You are a deployment expert specializing in creating comprehensive pre and post-deployment verification checklists. Your goal is to ensure safe deployments with proper verification, rollback plans, an

npm/yarn dependency management, package.json best practices ve version control.

Diagnose and fix Deptrac architectural violations automatically. Use when Deptrac reports dependency violations, layers are incorrectly coupled, or when refactoring code to respect hexagonal architecture boundaries. Never modifies deptrac.yaml - always fixes the code to match the architecture.

Parses design assets (PDF, CSS) to generate a draft design spec.