'systematic' 검색 결과

Inspect Windows startup entries with Sysinternals Autoruns to find possible malware persistence, settings that let malware restart automatically. Review signatures, file locations, and changes from a clean baseline to identify entries that need investigation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspicious startup entries on a Windows endpoint
• Comparing startup settings against a clean baseline
• Checking for remaining malware startup entries after cleanup

Compare evidence from cyber operations to assess which attacker may be responsible. Weigh shared infrastructure, attack methods, malware similarities, timing, and language clues against competing explanations, then report attribution findings with justified confidence levels.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing possible attackers during an incident investigation
• Comparing infrastructure and attack methods across campaigns
• Evaluating conflicting evidence against multiple hypotheses

Review existing marketing copy through seven focused editing passes, covering clarity, tone, benefits, evidence, specificity, emotion, and barriers to action. Get concrete revision suggestions while preserving the original message and the author's voice.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing an existing landing page draft
• Making product benefits clearer in promotional copy
• Checking vague claims and missing supporting evidence

Build AI workflows with DSPy by defining inputs and outputs and combining reusable components. Create question answering systems that use retrieved documents, tool-using agents, and automatically optimized prompts, then compare results with evaluation data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build question answering systems that use retrieved documents
• Optimize prompts using examples and evaluation metrics
• Combine AI tasks into reusable processing stages

Use LangSmith to record LLM application inputs, outputs, and timing, investigate failures, evaluate answers against test datasets, and monitor production usage. It also guides automated quality checks and analysis of token usage and costs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failures in LLM applications
• Evaluating answers against test datasets
• Monitoring production latency and costs

Investigate bugs using a graph of code relationships. Find relevant functions, trace calls and execution paths, check recent changes, and assess what a proposed fix could affect before reading and changing the implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Narrowing down code related to a bug
• Tracing the execution path that triggers an issue
• Checking whether recent changes caused a bug

Checks factual claims in articles and reports against current sources or independently queried original data. Applies corrections, assigns one of six confidence levels to each claim, and produces a sourced report with an overall pass or fail assessment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking facts before publishing articles
• Verifying numbers, dates, and attributed quotes
• Rechecking reports generated from databases

Investigate slow Node.js, Python, and Go applications by measuring CPU use, memory, database queries, and data transfer. Identify bottlenecks, inspect frontend bundle sizes, run load tests, and compare measurements before and after changes to verify improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow API responses
• Tracking memory growth and suspected leaks
• Analyzing bundle growth after adding dependencies

Improve existing marketing copy through seven focused editing passes. Preserve the core message and author’s voice while checking clarity, benefits, evidence, specificity, emotional impact, and barriers to action, with concrete edits and reasons.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing marketing copy before publication
• Making product benefits clearer to readers
• Checking vague claims and missing evidence

Track competitors’ products, pricing, and customer wins or losses, then turn findings into sales comparison sheets, market positioning updates, and feature gap summaries that inform product planning and leadership decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Mapping direct, indirect, and emerging competitors
• Preparing competitor comparison sheets for sales calls
• Analyzing why deals were won or lost

Guide an AI agent through stalled work using structured investigation, different hypotheses, and checks backed by actual output. The skill combines systematic problem solving with forceful Japanese workplace rhetoric and applies across coding, research, writing, and planning.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Changing approach after repeated failures
• Checking assumptions against original sources
• Verifying results before reporting completion

Build AI workflows with DSPy by defining inputs and outputs and combining reusable components. Create question answering systems that use retrieved documents, tool-using agents, and automatically optimized prompts, then compare results with evaluation data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build question answering systems that use retrieved documents
• Optimize prompts using examples and evaluation metrics
• Combine AI tasks into reusable processing stages

Use LangSmith to record LLM application inputs, outputs, and timing, investigate failures, evaluate answers against test datasets, and monitor production usage. It also guides automated quality checks and analysis of token usage and costs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failures in LLM applications
• Evaluating answers against test datasets
• Monitoring production latency and costs

Guides PyTorch model training and fine-tuning, from choosing architectures to configuring optimizers and learning rates. Provides troubleshooting steps for unstable loss and memory shortages, plus methods for improving GPU throughput and comparing experiments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose model architectures for the available data type and scale
• Configure optimizers and learning-rate schedules
• Investigate loss spikes, NaNs, and GPU memory shortages

Investigate errors, crashes, and unexpected behavior by reproducing failures, tracing execution, and comparing logs. Tests one explanation at a time, then provides a verified fix, supporting evidence, and tests or safeguards to prevent recurrence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate error messages and execution traces
• Find the cause of an application crash
• Compare logs to locate a failure

Investigate bugs through symptom gathering and hypothesis testing, with saved investigation state across context resets. Resume earlier sessions, check their status, or request a root cause report without applying a fix.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate a bug through hypothesis testing
• Resume an investigation after a context reset
• Diagnose the root cause without applying a fix

Investigate production incidents and bugs using logs, metrics, and code evidence. The skill guides hypothesis testing, root cause analysis, fix validation, and reusable investigation notes, with access to configured observability tools such as Axiom.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate production outages and rising error rates
• Trace causes using logs, metrics, and code
• Reproduce bugs and validate minimal fixes

Guides an agent in choosing and invoking relevant skills before responding or acting. It defines workflow priorities, points to environment-specific references, and distinguishes reference skills that should load only when explicitly requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose relevant skills before starting a task
• Set the order for workflow and implementation skills
• Check skill references for the current agent environment

Investigate bugs, failing tests, and unexpected behavior through reproducible steps, logs, and comparisons with working code. Follow four stages to identify the root cause, test a hypothesis, apply a focused fix, and verify the result.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failing tests
• Tracing production bugs to their source
• Finding where a build or integration breaks

Investigate bugs, failed tests, and unexpected behavior through reproducible steps, evidence gathering, and comparison with working code. Test one hypothesis at a time, then implement a focused fix and verify it with tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failed tests or builds
• Tracing production bugs across components
• Reassessing a problem after repeated failed fixes

Find and load the appropriate skill for an agent working inside OpenRig. This index maps situations such as recovery, handover, debugging, and planning to relevant guidance, with commands that retrieve content matching the installed CLI.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find relevant guidance when an agent first starts
• Locate skills for recovery or seat handover
• Find procedures for debugging or implementation planning

Explore a web application as a user to find bugs and usability problems. Produce a structured report with reproducible steps, screenshots, and videos for interaction issues, giving responsible teams clear evidence to investigate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking core workflows before release
• Finding usability problems in forms and navigation
• Preparing bug reports with reproduction evidence

Guide a development team from an assigned user outcome through implementation, testing, and handoff. It covers reproducing defects, checking behavior against requirements, involving design when needed, and reporting the exact changes, verification results, and remaining uncertainty.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start implementation from the assigned user outcome
• Reproduce a defect and verify its repair
• Review delivered behavior against requirements

Audit TypeScript projects for type-only imports, duplicate imports, missing base class inheritance, and incomplete public exports through index.ts files. Apply targeted fixes in a defined order and check compilation with tsc --noEmit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Separate type-only imports from runtime imports
• Consolidate duplicate imports from the same module
• Check classes for missing base class inheritance