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

Autonomous decision-making CLI for strategy development (project)

Decision-making methodologies, scoring frameworks, and planning strategies for Group 2 agents in four-tier architecture

Decision rules for Claude Code skills, scripts, MDs, and workflows - project-agnostic patterns

Use when making architectural or business logic decisions during conversations - adds entry to DECISIONS.md

Facilitate data-driven technical decisions using embedded decision matrices and trade-off analysis. Use when relevant to the task.

Git-powered state awareness - track file changes, session context, decisions, and work history. Query what happened in previous sessions and during current session. Auto-activates for state queries and before duplicating work.

Stream Deck integration assistant for VSCode. Create, manage, and organize Stream Deck profiles, buttons, snippets, and scripts. Helps build productivity workflows for developers using Stream Deck with Claude Code and TAC (Tactical Agentic Coding) patterns.

Identify misplaced files and organize project structure following open-source best practices, while delegating refactoring to specialized skills

Fix build issues for matched functions in the Melee decompilation project. Use this skill when builds are failing due to header mismatches, signature issues, or caller updates needed after a function has been matched. Invoked with /decomp-fixup [function_name] or automatically when diagnosing build failures.

Use the decomp-permuter to automatically find C code variations that match target assembly. Useful when stuck at 99%+ match with stubborn register allocation issues. Invoked with /decomp-permuter <function_name> <scratch_slug> or when manual matching attempts are exhausted.

Match decompiled C code to original PowerPC assembly for Super Smash Bros Melee. Use this skill when asked to match, decompile, or fix a function to achieve 100% match against target assembly. Invoked with /decomp <function_name> or automatically when working on decompilation tasks.

Break a phase into atomic beads and sub-beads for agent execution.

Use after writing-plans to decompose monolithic plan into individual task files and identify tasks that can run in parallel (up to 2 subagents simultaneously)

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

deep-codebase-wiki

Analyzes development sessions to extract patterns, preferences, and learnings. Use after significant work sessions to capture insights, document system understanding, and improve future interactions.

Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Uses file-based research tracking, parallel investigation threads, and context-efficient patterns for deep investigations. ALL MEDICAL CITATIONS FROM PUBMED MCP ONLY.

Expert guidance for DeepAgents framework - simplified agent creation with tool integration for LangChain/LangGraph workflows.

LangChain Deep Agents framework for building autonomous coding agents. Use for agent harness, backends, subagents, human-in-the-loop, long-term memory, middleware, and CLI-based agent development.

Deep codebase initialization with hierarchical AGENTS.md documentation

DeepSeek AI large language model API via curl. Use this skill for chat completions, reasoning, and code generation with OpenAI-compatible endpoints.

Deep learning-based variant calling with Google DeepVariant. Provides high accuracy for germline SNPs and indels from Illumina, PacBio, and ONT data. Use when calling variants with DeepVariant deep learning caller.

DeepWiki MCP server for AI-powered GitHub repository documentation and

Analyzes conversation history to improve job instructions and capture learnings. Use after running a job to refine it.

Reviews job.yml against quality criteria using a sub-agent for unbiased validation. Use after defining a job specification.

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.

Production-grade defensive Bash scripting for server automation, monitoring, and DevOps tasks. Emphasizes safety, error handling, idempotency, and logging.

Use when a review finding cannot be fixed in current PR - creates properly documented tracking issue with full context, linked to parent, following full issue-driven-development process

'Create a BRAND_GUIDELINES.md that defines how to communicate with your customer. Requires CUSTOMER.md to exist first. Covers voice, tone, language rules, messaging framework, and copy patterns.'

'Iteratively craft a CUSTOMER.md document that precisely defines your ideal customer profile (ICP). This is the foundational document from which everything else (product, features, brand) derives. Uses parallel research agents and multi-choice workflow with feedback cycles.'

'Create a DESIGN_GUIDELINES.md that defines how to design UI/UX for your customer. Requires CUSTOMER.md to exist first. Covers aesthetic direction, design tokens, typography, color, motion, components, and layout patterns. Bakes in frontend-design skill principles to avoid generic AI aesthetics.'

Create well-defined issues (bugs, features, tasks) using Socratic questioning to eliminate ambiguity. Use when creating new Linear or Jira issues, when the user mentions Linear, Jira, or needs to define work items with proper acceptance criteria and relationships.

'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.'