'classification' 검색 결과

Organize the outputs of a substantial work session into linked knowledge pages with sources. A seven-phase review checks classification rules, identifies reusable workflows, audits overlapping skills, and verifies that saved pages and skills can be found.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Saving the findings from a completed research session
• Organizing outputs from a development session
• Finding workflows worth turning into reusable skills

Review open Mastra GitHub issues and trace reported defects to source code. Apply the @mastra/core label to confirmed core bugs, report uncertain ownership, and summarize whether fixes are active, stale, or unclaimed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether reported bugs belong to @mastra/core
• Labeling confirmed core bugs with supporting evidence
• Previewing issue classifications without changing GitHub

Triage a GitHub issue by reviewing its discussion, related issues, and fixing pull requests. Publish a concise comment with classification, severity, evidence, and the next action, then update a small set of triage labels.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classifying newly opened GitHub issues
• Requesting missing reproduction details
• Identifying duplicates and existing fixes

Organize EU AI Act compliance work with references to Articles and Annexes. Classify AI systems by risk, plan conformity assessments that check regulatory requirements, prepare technical documentation checklists, and map obligations and deadlines to organizational roles.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing risk classification for a new AI system
• Planning conformity assessments for high-risk AI
• Preparing technical documentation checklists

Route enterprise research questions to specialized skills for clinical studies, R&D finance, market research, or user research. Receive a concise digest of findings, next actions, output files, and assumptions that need human review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a clinical study and sample size
• Review R&D budgets and spending classifications
• Estimate market size and design surveys

Routes regulatory and quality management requests to one of 15 specialist skills. Helps HealthTech and MedTech teams select the right workflow for audits, medical device regulations, information security, privacy, or AI compliance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a skill for ISO 13485 audit preparation
• Routing questions about EU AI Act risk classification
• Finding the right workflow for GDPR requests

Plan and conduct internal audits for medical device quality management systems under ISO 13485. Organize evidence, classify findings, verify corrective and preventive actions, and prepare for external audits with structured checklists and risk-based scheduling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan an annual internal audit schedule
• Document audit evidence and classify findings
• Verify the effectiveness of corrective actions

Check Agent Skills for documentation structure and Python script behavior, then score quality and security posture. Get grades and improvement priorities, and use pass criteria in pre-commit checks or continuous integration, which runs checks automatically.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a newly authored skill before release
• Auditing existing skills and prioritizing improvements
• Testing bundled Python scripts and sample outputs

Plan and analyze A/B tests, prepare tabular data, and train and evaluate prediction models. Estimate intervention effects from observational data, track model experiments with MLflow, and translate statistical findings into business decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning A/B test sample sizes and analyzing results
• Preparing tabular data for prediction models
• Comparing model performance and recording experiments

Organize responses to service outages and degraded performance, from initial assessment through recovery review. Classify severity, reconstruct event timelines, draft stakeholder updates, and create response guides and follow-up actions based on incident findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classify outage severity and plan initial response
• Reconstruct an incident timeline from scattered events
• Draft incident updates for customers and internal teams

Review an AI system's EU AI Act readiness through six structured questions. Produce an article-cited assessment covering risk classification, conformity checks, organizational obligations, transparency, and general-purpose models, with gaps and three prioritized actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a new or materially changed AI system
• Checking readiness before an EU launch
• Refreshing an annual compliance assessment

Review an AI plan through six questions covering evaluation examples, error targets, fallback behavior, regulatory risk, model choices, costs, and hiring. Produce a structured verdict with gaps to address and three concrete next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing an AI feature before release
• Comparing APIs, fine-tuning, and self-hosting
• Checking AI regulatory risk before an EU launch

Support startup AI strategy by comparing API use, fine-tuning—additional training of an existing model—and in-house development. Assess three-year costs, regulatory risk, self-hosting breakeven points, and hiring priorities to inform leadership decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare API use, fine-tuning, and in-house development
• Assess regulatory risks for an AI use case
• Calculate when self-hosting becomes cost-effective

Investigate Apache ShardingSphere issues using official documentation, code, tests, and issue discussions. Distinguish bugs, unsupported usage, duplicates, and enhancement requests, then draft a concise maintainer-style reply explaining the evidence and next action.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Distinguish bugs from unsupported configurations
• Check whether an issue duplicates an earlier report or fix
• Draft a GitHub issue reply with clear next steps

Clean spoken recordings by transcribing words, identifying filler and false starts, and joining cuts with short audio fades. Preview proposed edits, reduce breaths, repair noise-gate clicks, and optionally use Cleanvoice for additional cloud processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Removing filler words and long silences from a podcast
• Reviewing proposed edits before applying them
• Repairing clicks caused by a noise gate

Map sensitive data across the systems you manage, explore what a compromised asset could expose, and maintain a risk register. Record likelihood, impact, owners, mitigations, and review dates to support ongoing security planning.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Locating sensitive data across managed systems
• Assessing the impact of a compromised server or worker
• Recording risk owners, mitigations, and review dates

Import existing notes and agent instructions into LifeOS by splitting content into sections and proposing destinations. Review uncertain classifications, approve selected groups, and retain source information alongside the imported material.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Importing Obsidian or Notion exports into LifeOS
• Moving notes from an older LifeOS installation
• Reviewing and importing CLAUDE.md or Cursor rules

Build text, image, and audio features in JavaScript using machine learning models that run in browsers or server runtimes. Covers model selection, execution settings, caching, and memory cleanup without requiring a Python server.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add sentiment analysis to a JavaScript app
• Build image classification in a browser
• Implement audio transcription

Build Python workflows that constrain language model output using text patterns and grammar rules. Generate structured JSON, restrict classifications to allowed labels, extract information, and combine reusable generation steps with loops and tool selection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate JSON with a defined structure
• Constrain date, email, and identifier formats
• Classify text using a fixed set of labels

Build workflows that extract structured data from LLM responses, check field types and values with Pydantic, and retry failed extractions. Includes examples for nested data, classification, and receiving results as they are generated.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting contact and company details from text
• Classifying articles into predefined categories
• Checking review analysis against validation rules

Use Outlines to make language models produce data in a defined format. The skill covers extracting information into JSON, restricting classification labels, and applying Pydantic models, which define fields and data types, with local model backends.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting company or profile details into JSON
• Classifying text using a fixed set of labels
• Generating text that matches a specified pattern

Check regulatory feeds for updates since the last review and filter them by relevance to your work. Receive a digest grouped by importance, with source labels, effective dates, and comment deadlines where applicable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing regulatory updates since the last check
• Tracking comment deadlines for proposed rules
• Classifying a pasted regulatory announcement

Structure client intake for a legal clinic using practice-specific questions. Produce a case summary with issues across legal areas, potential conflicts of interest, urgency, verification prompts, and deadline handoffs for student analysis and supervisor review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Conducting a new client intake interview
• Identifying issues across legal practice areas
• Flagging urgency and potential conflicts of interest

Build evaluation suites for AI features with the Axiom AI SDK. Generate test files, scoring functions, test cases, and configurable parameters from descriptions and existing code to compare changes and monitor output quality in production.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add regression evaluations for an AI feature
• Score classification, retrieval, and structured outputs
• Compare model and parameter configurations