'evidence-based' 검색 결과

Have a different AI model review code, analysis, or documents against the original skill's stated requirements. Receive evidence-based findings and a comparison of agreement and disagreement, then decide which recommendations to accept.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Getting a second opinion on substantial code changes
• Reviewing authentication and other security-sensitive changes
• Checking work before a bulk operation

Research sales accounts using Common Room data to summarize company details, buying signals, ownership, and key contacts. Answer specific questions directly or prepare a broader briefing with evidence-based next steps, clearly identifying missing information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a company briefing before a sales conversation
• Check buying signals and recent account activity
• Find account owners and key contacts

Assess incoming leads or rank a lead backlog by customer fit and buying intent. Receive evidence-based priorities, routing recommendations, and suggested first responses, with existing account ownership checked when CRM records are available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritize leads from incoming inquiries
• Rank an uploaded lead backlog
• Check existing account ownership before routing a lead

Analyze closed sales opportunities to explain patterns behind wins and losses. Compare win rates, deal sizes, and sales stages, then use available transcripts and emails to recommend evidence-based process improvements and coaching priorities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing win rates by sales rep or lead source
• Finding the sales stages where deals are lost
• Identifying objections in major wins and losses

Review a sales opportunity using deal records, emails, and meeting notes. Get an evidence-based assessment of closing likelihood, missing information, risks, and prioritized next steps, with a comparison against the stage recorded in your sales system.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess whether a deal is likely to close
• Check whether the recorded sales stage matches the evidence
• Identify missing information before a sales review

Assess GitHub issues and pull requests by checking demonstrated user needs, existing alternatives, compatibility, and maintenance costs. Produce an evidence-based maintainer recommendation through code and document inspection, without running tests or examples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deciding whether a pull request merits merging
• Checking whether existing features already solve an issue
• Comparing competing fixes for the same problem

Review a GitLab merge request linked to a Factory work item, verify the current commit, and publish findings with a test report. It records the review verdict on the card and prepares a session handoff without merging.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review a GitLab merge request assigned through Factory
• Verify earlier review findings against the current commit
• Publish test results and an evidence-based verdict

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

Turn interviews, surveys, and usage data into evidence-based user profiles, experience maps, and design recommendations. Plan usability tests, define success measures, and organize research findings to identify user problems and prioritize improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create user personas from research data
• Map user actions, emotions, and pain points
• Plan usability tests for a proposed design

Review agent-written code changes before merge, focusing on concrete correctness defects. Uses independent subagent reviews, targeted verification, and fresh checks after substantial repairs, with a deeper evidence-based process for security, concurrency, persistence, or data-loss risks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing agent-written changes before merge
• Rechecking a substantial bug fix
• Examining security, concurrency, or data-loss risks

Audit saved project learnings against the current codebase to find outdated explanations, overlapping documents, and contradictions. Maintain the documentation with evidence-based updates, consolidation, replacement, or deletion, and deliver a per-document report with committed changes when applicable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking saved learnings against current code
• Consolidating overlapping knowledge documents
• Correcting outdated paths and links

Audit how a brand appears in AI answers by examining mentions, website citations, competitors, and cited pages. Receive one to three evidence-based priorities, such as improving a page, seeking inclusion in a relevant source, or fixing access barriers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate why AI answers recommend competitors
• Check brand mentions and website citations
• Prioritize pages to improve or create

Compare multiple NemoClaw pull requests addressing the same issue. It checks merge eligibility, correctness, quality, and attribution, then produces an evidence-based recommendation for merging or choosing a candidate for further repair.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing competing pull requests for one issue
• Checking merge eligibility before ranking proposals
• Choosing a candidate to repair when none is ready

Review recorded activity over a chosen period to understand sustained work and app switching. Get one evidence-based pattern and one small experiment for the next day, with uncertainty stated and no invented productivity scores.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing sustained work over a chosen period
• Understanding app and window switching patterns
• Choosing a small experiment for tomorrow

Apply Apache ShardingSphere’s written coding standards during implementation or review, covering naming, Java constructs, tests, and Maven dependencies. Also audit a specified scope without editing files, combining automated checks with manual inspection of applicable rules.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check changed code against written repository standards
• Review Java naming and declaration conventions
• Verify changed Maven dependency declarations

Review agent skills for risky behavior, excessive permissions, and hidden data sharing. It combines static scanning, which checks known risk patterns without running code, with source review to produce an evidence-based installation verdict.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a skill before installation
• Checking permissions in an installed skill
• Investigating credential access or external data sharing

Help an AI agent work through stalled coding, research, writing, and other tasks using diagnosis, alternative approaches, and evidence-based verification. It combines stern corporate-style roleplay with escalating checks and structured handoffs when problems remain unresolved.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Break out of repeated unsuccessful approaches
• Prompt investigation when an agent waits for instructions
• Verify results before accepting completion

Write and review launch prompts for agents working autonomously for hours or days. Define successful deliverables, excluded partial results, stopping rules, worker handoffs, and evidence-based review requirements so completion can be assessed against explicit criteria.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning vague requests into precise task briefs
• Defining stopping rules for long autonomous runs
• Specifying deliverables for parallel workers

Coordinate a research project from a broad topic through literature review, idea selection, experiments, and iterative review. Produce a research summary for writing, with optional paper drafting and PDF compilation, while recording stage progress for later resumption.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Taking a broad research topic through experiments and review
• Coordinating experiment implementation and result collection
• Preparing an evidence-based handoff for paper writing

Check experimental results before making research claims. A fresh reviewer examines reference data, score calculations, result files, and evaluation scope, then produces an evidence-based report showing which claims are supported and which need qualification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking results before writing a paper
• Verifying reference data and score calculations
• Matching reported numbers to result files

Analyze ARIS usage logs to propose evidence-based changes to skill instructions, reviewer prompts, and workflow defaults. Receive a report and focused patch proposals, with selected patches staged for a separate application process.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate recurring workflow failures
• Review defaults that users frequently override
• Identify the current workflow bottleneck

Review a GitHub pull request or branch and receive a concise summary of its purpose, design choices, and notable code. Check linked issue acceptance and highlight evidence-based concerns through their observable impact on users.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understand a pull request before reviewing it
• Summarize changes in a branch without a PR
• Review design decisions with file and line references

Evaluate company leaders by comparing public promises with results and reviewing how they spend company funds. Examine acquisitions, share buybacks, governance, employee and customer feedback, and succession plans to produce an evidence-based management assessment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a CEO delivered on public promises
• Reviewing acquisitions, share buybacks, and dividends
• Examining executive pay, ownership, and related-party transactions

Investigate sharp stock price moves through company events, regulation, competitors, and market sentiment. Produce an event timeline and evidence-based explanations, showing whether the investment case needs review and where information remains missing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate a sudden stock price rise or fall
• Understand market reactions after earnings
• Assess whether a headline matters