232 skills · sorted by relevance
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.
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.
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.
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.
Plan and review Amazon Ads using profit margins, ACoS—the share of advertising sales spent on ads—and product and search-term guardrails. Use it to assess advertising plans or exported performance data.
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.
Audit online store SEO across product and category pages. Check filter URLs, duplicate content, pagination, unavailable products, internal links, and structured data that describes products, offers, reviews, and breadcrumbs to search engines.
Develop evidence-based creative briefs, copy angles, and testable asset concepts for Facebook and Instagram ads. Use it to plan new campaigns, refresh existing creative, or outline UGC concepts—ideas for content presented as user-created posts.
Audit XML sitemaps by checking their structure and listed URLs against actual page conditions. Find errors, redirects, pages excluded from indexing, missing eligible pages, and inaccurate modification dates to identify sitemap problems affecting indexing.
Score and diagnose Google Ads landing pages, checking page quality and how well the content matches the ads. Investigate ad groups that attract clicks but generate few conversions, and identify issues affecting the landing page experience.
Build a dated, prioritized content calendar from real Search Console data. Find queries ranking at positions 5–20, unmet search intent, and related keyword opportunities, then prepare a plan for handoff to /content-writer.
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.
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.
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.
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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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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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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Plan a co-marketing partnership — two brands reaching each other's audiences for mutual gain. Use when asked to plan a partnership, joint campaign, co-branded content/webinar, integration launch, or partner outreach. Produces the partner fit rationale, a fair value exchange, the joint campaign plan, the partner pitch, and how success is split and measured.
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