'deterministic' 검색 결과

Simulate quantum dynamics, steady states, and spectra with QuTiP 5. The skill guides solver selection and checks physical assumptions, units, state validity, and numerical convergence so local simulation results can be reviewed with their limitations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Simulating quantum dynamics with environmental dissipation
• Choosing a solver for a quantum model
• Checking numerical convergence and state validity

Build draft structures and aggregate tables for clinical case, trial, diagnostic, and safety reports from verified synthetic, de-identified, or aggregate data. Local checks flag structural and consistency issues; qualified professional review remains required.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a structured case-report draft
• Check trial-report sections for missing items
• Format aggregate adverse-event tables

Retrieve public evidence and linked publications for a supported genetic variant, or look up gene–disease relationships. Preserve sources, conflicting assertions, and explicit search outcomes so qualified professionals can review the findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review public evidence for a single genetic variant
• Find publications linked to a resolved variant
• Look up gene–disease relationships

Check a local web page after editing by opening it in Chromium and exercising its controls automatically. It reports inconsistent behavior without requiring test scripts or an API key, giving you findings to investigate before further changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking controls on a newly created HTML page
• Checking a page after JavaScript or CSS changes
• Running a smoke test on locally built output

Coordinate multiple Claude Code workers through an existing Kanban board. This guide describes task dispatch, automated checks before AI review, per-task cost tracking, human intervention, and recovery after restarts; the runtime and integrations require separate installation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Coordinating multiple Claude Code workers
• Running automated checks before AI code review
• Monitoring task progress and development costs on a board

Test how agent workflows recover from repeatable simulated failures, including tool timeouts, worker restarts, and lost memory. Produces a fault matrix, event timeline, and verdict showing whether state, safety boundaries, and retry budgets were preserved.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Test recovery from MCP or tool timeouts
• Verify checkpoint recovery after a worker restart
• Check outcomes when one parallel branch fails

Let the host AI agent review Git changes while ocr selects files and resolves review rules. Receive findings grouped by severity, plus coverage details showing which files were reviewed or skipped and why.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing changes with the current AI agent
• Checking branch differences or a single commit
• Reviewing files against their applicable rules

Turn existing website workflows into experimental WebMCP tools that agents can call. Create scripts, test cases, and reports to check that tool calls match the interface’s behavior and handle invalid inputs safely.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Expose an existing website workflow as an agent tool
• Check that tool calls produce the expected interface changes
• Test invalid inputs, cancellation, and recovery

Analyze executable files and libraries with IDA Pro. Inspect pseudocode, strings, function calls, and data flow, then add meaningful names and comments and produce a Markdown report documenting findings and analysis steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating executable files and libraries
• Tracing processing from strings and function calls
• Organizing analysis with comments and meaningful names

Define repeatable workflows and their dependencies in JSON, then execute them through a CLI. Combine commands, read-only agent tasks, parallel branches, and human approval steps, with journal records that support recovery after interruption.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running repeatable build and test workflows
• Resuming a workflow after a crash
• Adding human approval before deployment

Review records across OMC sessions to find recurring obstacles in the agent's working environment. It turns evidence from timelines, logs, and notes into ranked proposals for checks, guidance, tools, or information access, with changes requiring user approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating errors repeated across sessions
• Reviewing missing or disconnected automated checks
• Improving access to logs and service state

Build normal traffic profiles for industrial control networks and identify unusual connections, polling intervals, and protocol operations. Use machine learning and process records to investigate deviations and produce anomaly reports with severity levels.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Establishing normal traffic profiles for industrial networks
• Detecting unusual connections and polling intervals
• Investigating Nozomi Guardian or Dragos alerts

Create evaluation drafts for existing skills using actual conversations and user corrections. Produce criteria and repeatable test cases, distinguish evidence from specification assumptions, and prepare an anonymized draft for human review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn user corrections into repeatable test cases
• Compare promised behavior with actual usage
• Draft an evaluation from conversation history

Process large email, document, and transcript archives by routing items to AI models according to their importance. Rule-based privacy checks run before model calls, while extracted information becomes linked knowledge pages with progress checkpoints.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract useful information from large email archives
• Organize decisions and advice from meeting transcripts
• Route reports to suitable models by importance

Manage shell commands and AI agent tasks through a shared gbrain job queue. Track progress, steer agents, pause or resume work, and coordinate parallel tasks, with guidance for long operations, completion reporting, and reusable stage checkpoints.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run scripts as monitored background jobs
• Coordinate parallel research by AI agents
• Redirect, pause, or resume an agent task

Manage a running task list in a gbrain page using stable IDs and four priority levels. Add, complete, defer, remove, or review tasks while recording completion dates and deferral reasons, and clarifying ambiguous task references before changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add tasks and organize them by priority
• Complete a specific task by ID
• Defer work with a target date and reason

Assign unowned leads and opportunities using company routing rules and existing account relationships. Prepare a recommendation with its reasoning, draft handoff notes, and apply ownership changes after a person accepts or overrides each recommendation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assigning newly received leads to sales representatives
• Reviewing a queue of unassigned opportunities
• Preparing handoff notes with assignment reasons

Investigate difficult bugs by adding temporary logs to the actual execution path and reproducing the reported behavior. Analyze JSONL logs, which store one structured event per line, then fix the cause, verify regression tests, and remove debugging artifacts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating bugs that occur only during manual use
• Tracing event order in streaming or concurrent operations
• Checking whether passing tests cover the reported bug

Audits Mastra documentation against repository source and canonical writing guidance. Checks examples in context, API reference coverage, and targeted automated results, then produces an evidence-based report with findings and limitations without editing files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing every changed documentation page in a pull request
• Checking code examples against source and surrounding explanations
• Finding missing or incorrect API reference details

Stabilize a test that fails and then passes on the same commit. Apply a minimal fix to timing, randomness, clock behavior, or shared resources while preserving assertions, then verify it through repeated runs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fixing tests that pass only after a rerun
• Improving timeout budgets and condition-based waiting
• Making clock-dependent or random tests deterministic

Coordinate project delivery by routing requests to eight specialist skills or running a verified delivery workflow. Use live Jira data for progress analysis and completion forecasts, with recorded evidence and checks before tasks are closed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze sprint progress and forecast completion ranges
• Produce project health reports from live Jira data
• Route Jira permission and configuration reviews

Route product questions to a specialist for prioritization, research, analytics, experiments, or implementation. Support recurring discovery by tracking interviews and assumption tests, checking how customer needs connect to proposed solutions, and returning results with a concise digest.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritizing features with an explicit framework
• Planning product experiments and sample sizes
• Tracking weekly interviews and assumption tests

Turn long Markdown files into a single HTML file for reading, reviewing code, or presenting slides. Routes each input to a specialized converter and applies shared design settings, with navigation and interaction suited to the document type.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting long specifications or reports into navigable HTML
• Presenting code reviews with diffs and severity annotations
• Turning Markdown into slides with keyboard navigation

Plan a Claude Managed Agent around one clear job, then route work through setup, launch preparation, evaluation, and scheduling. Produce execution plans and curl commands that users run with their own Anthropic API key.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Defining one clear job for a managed agent
• Preparing launch commands for an Anthropic account
• Planning evaluation and revision with an iteration limit