'fair' 검색 결과

Plan and prepare paid advertising campaigns before spending begins. Use a business goal, budget, and target platform to frame a new campaign or prepare a test across multiple advertising channels.

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• Preparing a new paid advertising campaign
• Planning campaign budget allocation
• Preparing a test across advertising channels

Audit multilingual and regional websites for hreflang errors, the tags that identify language alternatives. Check reciprocal links, language codes, canonical URL conflicts, and targeting signals when search results show the wrong language or country version.

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• Investigate the wrong language version appearing in search
• Check hreflang tags and language or region codes
• Review conflicting signals across country versions

Get a second opinion from Google Gemini on Google Ads, SEO metadata, or code changes. Choose a pass/fail review, a challenge that probes weaknesses, or an open consultation on strategy and implementation.

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• Getting a second opinion on Google Ads changes
• Reviewing SEO metadata updates
• Probing weaknesses in proposed code changes

Discover keywords from a starting term or niche for SEO and AI search content planning. Compare search volume, competition, search intent, and business relevance, then prioritize opportunities and group related topics to guide content choices.

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• Finding keyword ideas from a topic
• Prioritizing keywords by demand and competition
• Grouping related topics for content planning

Draft SEO-focused blog posts, landing pages, and website copy from a keyword or topic, or improve an existing page. Follow Google's guidance on helpful content and experience, expertise, authority, and trust.

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• Draft a blog post from a keyword or topic
• Write landing pages and service pages
• Improve or rewrite existing website content

Improve page titles, meta descriptions, and social sharing previews with multiple alternatives for A/B testing, which compares different versions. Check character counts and preview search results to assess how each option will appear.

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• Revising titles for pages with low click-through rates
• Drafting multiple meta descriptions for comparison
• Improving link previews shared on social media

Write Google Ads headlines, descriptions, and responsive search ad components. Create alternative messages for A/B testing, which compares ad versions, and develop copy ideas aimed at improving the click-through rate of existing ads.

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• Draft headlines and descriptions for a new ad group
• Create components for responsive search ads
• Compare different advertising messages with A/B tests

Audit and rewrite content to help it become a cited source in AI search answers. Develop strategies for ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, focusing on how these services use content in generated responses.

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• Auditing existing content for AI search visibility
• Rewriting articles to support citation in AI answers
• Planning content improvements for each AI search service

Scan a website for broken links, including links that return 404 or 500 errors. Crawl internal pages, identify broken outbound links, and report the pages containing them so you can locate and fix the references.

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• Check a website for broken links
• Find links that return 404 or 500 errors
• Audit links pointing to external websites

Audit backlinks using Google Search Console reports and supplied exports. Review linking domains, link text, potentially spammy patterns, and links to key pages to identify internal linking opportunities and prioritize link building.

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• Review linking domains and link text
• Check for potentially spammy backlinks
• Find internal linking opportunities for revenue pages

Manage Facebook and Instagram advertising performance, budgets, and campaign settings. Review return on ad spend, impression costs, repeated exposure, overlapping audiences, and signs that people are becoming tired of the same ads.

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• Reviewing Facebook and Instagram advertising performance
• Checking repeated exposure and creative fatigue
• Reviewing audience overlap and the learning phase

Explain machine learning predictions with SHAP values, which measure how each input contributes to an output. Create charts for individual predictions and overall feature importance, investigate errors, compare models, and examine differences between groups.

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• Explaining an individual prediction
• Visualizing overall feature importance
• Investigating misclassifications and data leakage

Develop healthcare prediction models from electronic health records and physiological signals. Use PyHealth to prepare data, train models for tasks such as mortality or readmission prediction, and evaluate accuracy, fairness, and how predictions can be explained.

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• Building mortality prediction models with MIMIC-IV
• Training and evaluating hospital readmission models
• Developing medication recommendation models with SafeDrug

Use LaminDB to organize biological datasets, search their metadata, and track how analyses produce results. Standardize annotations with biological vocabularies, validate data structures, and record versions and computational history for reproducible research.

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• Standardizing cell type annotations in single-cell data
• Searching datasets across multiple experiments
• Tracing analysis results back to their inputs and code

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

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[omh] Company hiring or HR process to structure: turn hiring and people context into a fair, structured recruiting or people-operations brief. Use when the user says: recruiting plan, hiring scorecard, interview scorecard, candidate debrief, 채용 계획, 면접 평가표, 후보자 비교.

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Estimate a public company's intrinsic value with DCF, relative (peer multiple), and sum-of-the-parts (SOTP) methods, then blend them into an implied share price with upside/downside vs the market price, a WACC and terminal-growth sensitivity grid, and bull/base/bear scenarios. Use this skill whenever the user asks what a company or ticker is worth: fair value, intrinsic value, implied share price, a price target from fundamentals, whether it is overvalued or undervalued, building a DCF (WACC, terminal value, discounted cash flow), EV/EBITDA or P/E based targets, peer comparison valuation, or SOTP and conglomerate discounts. Run the model rather than answering valuation questions from memory.

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This skill is applicable when using LaminDB. LaminDB is an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR-compliant. It is suitable for managing biological datasets (scRNA-seq, spatial transcriptomics, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakes, or ensuring data lineage and reproducibility in biological research. It covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integration with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

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Use when determining author order on research manuscripts, assigning CRediT contributor roles for transparency, documenting individual contributions to collaborative projects, or resolving authorship disputes in multi-institutional research. Generates fair and transparent auth...

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Use when evaluating Prem Watsa / Fairfax-style value investing: insurance float, contrarian allocation, special situations, and conservative downside-focused capital allocation.

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Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

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Stress-test a decision or claim through a sharp, fair Q&A — the questions a good lawyer or skeptical friend would ask before you commit. Use when asked to cross-examine me, ask me hard questions about this, interrogate my plan, or make me defend this. Produces a sequenced line of probing questions (from clarifying to challenging to the killer question), space to answer, and a debrief on where your answers were strong, evasive, or exposed a gap — so weaknesses surface in private before they surface in public.

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Decode a brand deal or UGC contract before signing — usage rights, exclusivity windows, whitelisting, payment terms, and kill clauses ranked 🔴🟡🟢 by what they can cost a creator, plus the counter-ask email. Use when a creator says 'is this brand deal fair', 'what does perpetual usage mean', 'they sent me a contract', or 'should I sign this collab agreement'. Produces a clause-by-clause decode, a money-math check on the rate, and a ready-to-send negotiation email. Not legal advice.

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Write a fair, enforceable community moderation policy. Use when standing up or overhauling moderation for a forum, Discord, Slack, subreddit, or any user community. Produces a clear code of conduct with examples, a graduated enforcement ladder tied to specific triggers, an appeals process, moderator guidelines, and the handling for the severe cases (threats, doxxing, brigading) that need immediate action. Governs member conduct in a user community — distinct from [[community-management-playbook]], which manages a brand's own social-media channels (comments, DMs, tone, response templates).

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