'evidence-based' 검색 결과

Audit a website for Google AdSense application readiness or ongoing ad-serving issues. Check content, navigation, crawler access, and disclosures against official requirements, then receive evidence-based findings, specific fixes, and a complete checklist with unresolved questions clearly marked.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a site before applying for AdSense
• Investigating issues after an AdSense rejection
• Reviewing policy risks on a site that already serves ads

Review explicitly selected tests or bounded pull request changes without running or editing code. Receive a follow-up decision for each test, A–F quality bands where assessable, evidence-based notes, and concrete suggestions for improvement.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a named test method
• Assessing every test in explicitly selected files
• Preparing per-test feedback for pull request changes

Prepare Bugcrowd submissions with accurate vulnerability categories, evidence-based severity requests, and explanations of program scope. Structure references between related reports, document QA testing conditions, and draft responses when a finding is downgraded or considered out of scope.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a suitable Bugcrowd vulnerability category
• Explain a severity request using demonstrated impact
• Respond to out-of-scope decisions

Review concrete code changes for defects, compatibility problems, repository-rule violations, and unnecessary code. Produce evidence-based findings and, when explicitly requested, make minimal cleanup changes while checking that existing behavior is preserved.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a pull request or commit range
• Inspecting staged and unstaged changes
• Finding debug residue and duplicate code

Research industrial AI topics such as predictive maintenance and anomaly detection. Compare papers by methods and publication venues, distinguish preprints from reviewed work, identify conflicting findings and research gaps, or build an evidence-based survey draft.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching recent predictive maintenance literature
• Comparing industrial anomaly detection methods and evaluations
• Identifying research gaps in manufacturing AI

Turn reviewer comments into a structured response document. The skill classifies concerns, suggests whether to revise, defend, clarify, or experiment, and drafts evidence-based replies while checking completeness, professional tone, and respectful wording.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classifying reviewer comments by issue type
• Planning revisions and additional experiments
• Drafting responses to every reviewer comment

Draft and organize response letters for revised journal submissions. Address each editor and referee comment, link responses to manuscript changes, explain disagreements with evidence, and check that every comment has been covered.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a response letter for a revised submission
• Drafting responses to individual referee comments
• Explaining evidence-based disagreements politely

Evaluate papers, research proposals, and literature reviews using structured criteria. Produces evidence-based feedback on research questions, methods, data, analysis, and writing, with optional scores and prioritized recommendations tailored to the work's stage and purpose.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a paper before submission
• Assessing a research proposal's methods and feasibility
• Checking the coverage and synthesis of a literature review

Document an incident with a sourced timeline, clear user impact, and analysis that separates symptoms, triggers, and underlying causes. Produce a blameless review with action items that specify responsible teams, deadlines, and checkable completion criteria.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Write an outage report grounded in logs and alerts
• Separate incident triggers from underlying causes
• Compare recurring incidents and previous corrective actions

Analyze a creator or brand's social account to understand its audience, recurring topics, standout posts, opening hooks, and formats. Get evidence-based lessons on patterns to adapt, approaches to avoid, and tests for your own content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze a creator or brand's social account
• Identify patterns in standout posts
• Collect examples of openings and content formats

Compare competitors’ public social profiles and posts to identify strong topics, formats, and posting patterns. Get an evidence-based brief with content gaps and suggested experiments, accounting for each account’s usual performance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare competitors’ social posting strategies
• Study formats behind unusually strong posts
• Find topics competitors rarely cover

Coordinate paid advertising work across multiple platforms, including Google Ads and Meta Ads. Use it to discuss strategy, budgets, acquisition costs, return on ad spend, and campaign performance, or identify the appropriate specialist advertising skill.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an advertising strategy across multiple platforms
• Discussing advertising budgets and spending
• Reviewing acquisition costs and return on ad spend

Review an account’s completed profile and recent posts to assess topic consistency, positioning, audience fit, and signs of reduced reach. Receive evidence-based findings, practical improvements, and publishing advice suited to the account’s growth stage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate why posts receive little reach
• Review an account’s positioning and topic consistency
• Check for signs of reduced distribution

Investigate problems during implementation or manual testing by examining logs, database records, Git history, and service status. It produces an evidence-based report with likely causes and suggested next steps, without editing files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating errors found during manual testing
• Tracing problems after recent code changes
• Checking database records for unexpected states

Match identified products and versions against CVEs, records of known security vulnerabilities. Assess relevance, evidence quality, and patch status, then produce a candidate list to guide further investigation without attempting exploitation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find CVE candidates for identified products and versions
• Assess applicability when version evidence is incomplete
• Check whether deployed versions include fixes

Create concise medical treatment plans in LaTeX and PDF, covering goals, interventions, timelines, and monitoring. Templates support chronic disease care, rehabilitation, mental health, and perioperative care, with a first-page summary and diagrams showing care pathways.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Documenting goals and monitoring for chronic disease care
• Organizing rehabilitation stages and progress measures
• Preparing mental health treatment plans

Review papers, research proposals, and literature reviews with the ScholarEval framework. Assess research questions, methods, analysis, writing, and references, then produce evidence-based feedback with prioritized improvements and optional scores for each relevant dimension.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review a paper before journal or conference submission
• Assess research questions and methodology
• Evaluate the coverage and synthesis of a literature review

Creates LaTeX/PDF reports for pharmaceutical and clinical research. Compares patient groups by biomarkers, measurable biological indicators, and prepares treatment recommendation documents with evidence ratings, statistical results, and decision flowcharts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing outcomes across biomarker-defined patient groups
• Preparing treatment recommendations with evidence ratings
• Creating flowcharts for biomarker-guided treatment selection

Find potential customers based on your product and ideal customer profile, a description of companies you want to sell to. Research each prospect, score its fit with supporting evidence, and compile reports and a CSV.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find companies that match an ideal customer profile
• Research potential customers before outreach
• Prioritize prospects using evidence-based scores

Review closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns. Use after trader-memory-core and signal-postmortem have produced records, or when the user asks for a post-trade coach, risk-manager style review, rule-adherence review, next-session operating rules, or psychology-aware trading behavior feedback. This skill does not provide buy/sell advice, therapy, or broker execution.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run an evidence-based production-readiness review for an Attio integration across identity, scopes, data ownership, retries, webhooks, observability, rollback, and support. Use when preparing to enable production Attio traffic. Trigger with "Attio production checklist", "Attio go-live", or "review Attio release".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit websites and landing pages for conversion issues and design evidence-based A/B tests. Use when the user mentions "landing page isnt converting", "conversion rate", "A/B test", "why visitors leave", "objection handling", "bounce rate", "conversion funnel", "increase signups", or "people add to cart but dont buy". Also trigger when diagnosing why signups are low, designing experiment hypotheses, or auditing checkout flows for friction points. Covers funnel mapping, persuasion assets, and objection/counter-objection frameworks. For overall marketing strategy, see one-page-marketing. For usability issues, see ux-heuristics.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adversarial verification of finished work. Treats any "done" as a set of claims, then re-runs the claimed verifications, diffs what actually changed, detects weakened tests and false completion claims, and delivers an evidence-based verdict (VERIFIED / VERIFIED WITH CAVEATS / REFUTED). Use after any agent or model claims work is complete - "/fable-judge", "judge this work", "verify what it did", "did that actually work?". Also runs the fable-method trap suite against a skill or model via "/fable-judge suite TARGET".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit. Use this to analyze a market or industry, map competitors, evaluate a market-entry or build-versus-buy decision, produce a research brief, or assemble evidence for a decision. Also use when comparing options that need a structured, evidence-based verdict rather than an opinion.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.