Seth Hobson

Design and implement interface responses such as button feedback, loading indicators, page transitions, and swipe gestures. Use motion to communicate actions and state changes, with guidance on timing, performance, and support for people who prefer reduced animation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding hover and click feedback to buttons
• Showing loading placeholders and progress indicators
• Creating transitions for pages and interface components

Design reusable interface components in React, Vue, and Svelte. Organize how components fit together, define clear configuration options, and choose styling approaches while addressing accessibility, responsive layouts, and maintenance across component libraries or design systems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a reusable UI component library
• Standardize component options across a design system
• Refactor complex existing components

Build and debug asynchronous Rust applications with Tokio, a runtime for scheduling work while operations wait. Apply patterns for task management, channels, error handling, cancellation, and concurrency limits when developing network services and other concurrent systems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build asynchronous network services
• Manage tasks and channel communication
• Design error handling and cancellation

Set up automated security checks that inspect source code without running the application. Configure Semgrep, SonarQube, or CodeQL, add project-specific rules, reduce false alarms, and define criteria for blocking problematic changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding automated security scans to CI/CD
• Creating security rules for project-specific code patterns
• Reducing false alarms and scan time

Build concurrent Go applications with goroutines, lightweight execution units, and channels for communication. Apply patterns for worker pools, cancellation, synchronization, and orderly shutdown, and investigate race conditions when concurrent operations access shared data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement a worker pool for concurrent jobs
• Connect processing stages with channels
• Manage cancellation and orderly shutdown

Help agents continue work in projects using Superself. Read current goals and decisions, attach work to tracked units, record progress with supporting evidence, and preserve confirmed decisions so later sessions can resume with context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resume work using context from a previous session
• Track work units and evidence of progress
• Record confirmed decisions and their reasons

Capture and analyze network traffic to understand custom protocols, including message boundaries and field meanings. Use the findings to document formats, investigate communication problems, and validate behavior through replay and tests with unusual inputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating network communication failures
• Understanding proprietary message formats
• Documenting protocol specifications

Write more reliable Bash scripts for production automation, CI/CD pipelines, and system administration. Covers input validation, error handling, structured logs, safe temporary files, dry runs to preview changes, and scripts designed for safe reruns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing production automation scripts
• Improving error handling in CI/CD scripts
• Adding dry runs to deployment scripts

Turn identified threats and business needs into specific, testable security requirements. Define priorities, explain the rationale, and develop security user stories, acceptance criteria, and test cases linked to the risks they address.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn threat models into security requirements
• Write security user stories and acceptance criteria
• Develop security test cases

Match identified security threats with controls that prevent, detect, or help recover from attacks. Use the mappings to find coverage gaps, prioritize security spending, and create remediation plans with multiple layers of protection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritizing security investments
• Creating a security remediation roadmap
• Checking gaps in existing security controls

Create automated shell script tests with Bats, a Bash testing tool. Check exit codes, output, and failure cases, organize reusable test helpers and data, and run checks across shells or in CI/CD pipelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add automated tests to shell scripts
• Check invalid input and missing file errors
• Test behavior in bash, sh, and dash

Set up rules that allow or block Claude Code tool calls, and record executed tool names in digitally signed receipts. The skill also explains offline verification and the limits of what those records prove.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Restricting which Claude Code tools may run
• Recording tool names in digitally signed receipts
• Verifying receipts offline with a public key

Prepare the narrative, sources, and design requirements for an editable PowerPoint deck. Clarify the audience and intended decision, track evidence for factual claims, and record visual choices before slide creation begins.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying a presentation's audience and intended decision
• Choosing a narrative framework
• Organizing sources for metrics and claims

Set consistent Python conventions for naming, formatting, type checking, and documentation. Configure ruff and mypy or pyright, write clear function descriptions, and organize README and changelog content so a team can maintain shared standards.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up Python linting and formatting
• Define shared team coding conventions
• Review type hints and function documentation

Build Stripe payment flows for one-time purchases and subscriptions. The skill covers checkout options, customer payment methods, refunds, and webhooks, which notify an application about payment events, with examples for testing payment behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding one-time payments to an application
• Building subscription billing
• Handling payment events through webhooks

Build Grafana dashboards that show application and infrastructure health through request rates, errors, response times, and resource usage. Organize metrics into useful panels, add filters and alerts, and manage dashboard definitions as code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an API health dashboard
• Visualize CPU and memory usage
• Track service level objectives and business KPIs

Measure Python execution time and memory use to locate slow or resource-heavy code. Use profiling results to guide improvements in data structures, caching, input and output operations, algorithms, and parallel processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding slow functions in Python applications
• Reducing memory use and investigating leaks
• Improving data processing and database queries

Set up distributed tracing with Jaeger and Tempo to follow requests across services. Examine delays, service dependencies, and error propagation, with guidance on sampling, linking logs to traces, and troubleshooting missing trace data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow requests across services
• Understanding service dependencies
• Tracing how errors spread

Design recommendation and ranking systems that select the best items for a user or situation. Organize retrieval, enrichment, filtering, scoring, selection, and background actions into six stages, then generate a runnable scaffold for your chosen stack.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a personalized content feed
• Reranking retrieved passages for RAG
• Prioritizing suggested tasks

Review Python code for common mistakes in error handling, asynchronous operations, type annotations, and tests. Use a practical checklist and correction examples to guide code reviews, investigate bugs, and improve existing implementations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing Python code before a merge
• Investigating bugs caused by common coding mistakes
• Refactoring legacy Python code

Prepare GRPO reinforcement learning configurations for tasks with programmatically checkable answers, such as math, code, and structured output. Design and inspect reward functions, then select training variants when runs show instability or exploit flaws in scoring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing GRPO training for tasks with automatic correctness checks
• Designing rewards for output format and correctness
• Inspecting reward scores before training

Prepare datasets for language model training by formatting examples, checking conversation templates, and packing examples into training sequences. Document data sources, synthetic data ratios, and validation results in a dataset card before starting a run.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert raw examples into training-ready JSONL
• Check conversation templates and assistant-only training targets
• Review example boundaries after sequence packing

Turn Python code into installable libraries or command-line tools. The skill guides project structure, package metadata, dependency settings, building wheel and source archives, and publishing releases to PyPI or private package repositories.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Packaging a Python library for distribution
• Creating an installable command-line tool
• Building wheel files and source archives

Move slow Python operations into background jobs so requests can return promptly. Use task queues and workers, the processes that execute queued work, with retry rules, duplicate handling, time limits, and persistent job status.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Send emails and notifications in the background
• Generate reports and data exports asynchronously
• Process uploads and media conversions