'rank' 검색 결과

X와 LinkedIn 인맥을 바탕으로 만나고 싶은 상대에게 소개받을 경로를 평가합니다. 경로의 거리와 관계 강도 등을 반영해 소개를 부탁할 후보와 인맥의 빈틈을 정리합니다.

• 목표 인물을 소개해 줄 지인 찾기
• 공통 지인을 소개 가치에 따라 정렬하기
• 목표 기업으로 이어지는 소개 경로 조사하기

Find biological pathways and functions enriched in gene lists or ranked gene data. Choose an appropriate statistical method, align gene identifiers, define comparison backgrounds, and turn results into interpretable tables and plots with multiple-testing corrections.

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• Finding enriched pathways among differentially expressed genes
• Running GSEA on a complete ranked gene list
• Calculating gene-set scores for individual samples or cells

Design recommendation and ranking systems that select the best items for a user or situation. Organize retrieval, enrichment, filtering, scoring, selection, and background actions into six stages, then generate a runnable scaffold for your chosen stack.

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• Designing a personalized content feed
• Reranking retrieved passages for RAG
• Prioritizing suggested tasks

Rank problems and proposed fixes using four scored criteria: expected benefit, implementation cost, deployment ease, and risk. The skill produces a sorted priority table with scoring rationales and explains why the top three items should come first.

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• Prioritize fixes from audit findings
• Rank improvement actions after a retrospective
• Sequence risk mitigation measures

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

Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). **Trigger when user asks to:** - Combine keyword and semantic search - Implement hybrid search or multi-modal retrieval - Use BM25/pg_textsearch with pgvector together - Implement RRF (Reciprocal Rank Fusion) for search - Build search that handles both exact terms and meaning **Keywords:** hybrid search, BM25, pg_textsearch, RRF, reciprocal rank fusion, keyword search, full-text search, reranking, cross-encoder Covers: pg_textsearch BM25 index setup, parallel query patterns, client-side RRF fusion (Python/TypeScript), weighting strategies, and optional ML reranking.

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Argentine Supreme Court citation network analysis using JurisRank — a peer-reviewed PageRank algorithm with temporal decay for measuring jurisprudential authority. Ranks precedents by citation influence, traces doctrinal evolution, and detects constitutional drift. Published methodology: JCLLT (DOI: 10.47852/bonviewJCLLT62027951). Activate with: which cases to cite, rank precedents, case authority, doctrinal evolution, Argentine Supreme Court, CSJN jurisprudence, citation network, leading case, legal research Argentina.

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Amazon keyword rank tracking and performance analysis. Comprehensive ranking factor analysis, change diagnosis, improvement strategy development, and competitive position monitoring. Use when the user asks about keyword rankings, position tracking, ranking changes, or competitive analysis.

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Query TikTok e-commerce product leaderboards via Kalodata and query detailed data for specific products. Supports viewing high-ranking/hot-selling products by region, currency, language, and date range, and using productId to retrieve price range, sales, revenue, commission rate, listing/delisting time, and owning shop. Trigger when users mention TikTok product ranking, TikTok bestseller chart, TikTok top products, kalodata product rank, TikTok product detail, TikTok product profile, product price, product sales, TikTok product ranking, TikTok bestseller chart, TikTok top products, kalodata product rank, TikTok product detail, kalodata product detail, product analytics. Even if the user does not explicitly mention "kalodata", trigger this skill whenever their need involves viewing TikTok product leaderboards or detailed data for a specific TikTok product.

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Audit and repair Gaia user-tree timelines so every skill's current rank is explained by a chain of Hero's Journey events. Trigger this skill when: a contributor's profile chart shows a stale rank (e.g. still shows 3★ after a demotion to 1★); someone asks to "trace what happened" to a skill's rank; `validate_timelines.py` is failing in CI; you need to backfill missing `demote` or `rank_up` events before cutting a release; a skill was reclassified or Star-Bar-reset and the user tree was never updated; or any time the registry node and user tree disagree on a skill's current level. Uses `scripts/trace_timeline.py` (dry-run + apply) and `scripts/validate_timelines.py` (CI gate). Do NOT hand-edit `timeline[]` arrays — the script synthesises properly labelled events with `previousValue`/`newValue` so the rank chart plots correctly.

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Ranks skill matches by fit, performance history, and contextual relevance. Applies multi-factor scoring including success rate, resource usage, and task alignment. Activate on 'rank skills', 'best skill for', 'skill ranking', 'compare skills', 'optimal skill'. NOT for semantic matching (use dag-semantic-matcher) or skill catalog (use dag-skill-registry).

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Plan how to earn backlinks and third-party mentions for specific pages. Compare competing pages, identify suitable placement opportunities, draft outreach messages, and track search rankings alongside mentions on pages cited by AI assistants.

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• Compare backlinks to competing pages
• Request links for existing unlinked brand mentions
• Find inclusion opportunities in AI-cited recommendation lists

Audit a website for problems affecting search visibility, from search engine access and indexing to speed, page titles, content, and links. Receive evidence-based findings and a prioritized action plan, including checks for multilingual and local business sites.

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• Investigating a drop in search traffic or rankings
• Reviewing page titles and internal links
• Checking multilingual search settings

Rank stocks using several indicators, such as recent returns and trading volume, combined on a common scale. Build equally weighted portfolios from the highest scores, or combine existing factors into strategies with buying and selling positions.

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• Rank stocks using several investment indicators
• Build an equally weighted portfolio of top-ranked stocks
• Combine Alpha Zoo factors into a trading strategy

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.

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

Audit how a local business appears on map platforms. Analyze location-based rankings, reviews, nearby competitors, and inconsistent business details, then receive prioritized recommendations and structured business data for website use, depending on the connected APIs.

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• Compare map rankings across a local area
• Review business profile completeness and customer reviews
• Find nearby competitors

Find relevant passages in an Obsidian vault using a local word-based search index. Optionally reorder results by meaning with a multilingual Nomic model, returning note paths and snippets while leaving the original notes unchanged.

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• Find relevant passages across vault notes
• Rerank search results by semantic similarity
• Rebuild search data after note changes

Choose a serving container for models deployed on SageMaker. Match the model type to a compatible image, retrieve its address from the AWS catalog, and check regional availability, CPU or GPU variants, and required host settings.

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• Choose a container for an LLM deployment
• Select images for embeddings and rerankers
• Check regional image addresses and GPU compatibility

Manage participation in OKX Agentic Wallet trading competitions, from finding contests and reviewing rules to registering, checking rankings and reward status, claiming prizes, and providing delivery contact details when required for top-tier winners.

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• Find trading competitions and review their rules
• Register for a competition and check the registered wallet
• Check the leaderboard and personal ranking

Manage a project's stored materials through inventory, migration, archiving, and ranking based on verified source reads. Changes follow owner approval, preserve material references, and include validation records and rollback procedures.

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• Inventory stored materials before migration
• Rank reading candidates using verified sources
• Archive materials while preserving references

Compare a competitor's estimated search rankings with your Search Console data. Find missing keywords and terms where you trail, then get page suggestions and a prioritized action list based on search volume and product relevance.

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• Find content topics covered by competitors
• Identify existing pages that need improvement
• Prioritize keywords by volume and product relevance

Predict how a small molecule may sit within a protein using structural inputs. Generate ranked 3D poses without defining a search region, then use those poses as starting points for further evaluation.

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• Predicting ligand poses from a protein structure and SMILES
• Generating ranked poses for a small fragment library
• Preparing starting poses for downstream rescoring

Develop identification arguments in econometrics: establish whether observed data uniquely determine a target parameter, state assumptions and rank conditions, and write formal propositions. When uniqueness fails, characterize the range of parameter values consistent with the data.

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• Writing an identification proposition for a paper
• Checking assumptions for IV, DiD, or RDD
• Examining rank conditions for moment equations

Monitor changes in the Top Lean AI ranking, keep a history of updates, and produce reports analyzing those changes. It uses an existing OpenClaw environment and saves tracking state for later analysis.

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• Regularly checking the Top Lean AI ranking
• Keeping a history of ranking updates
• Reviewing reports on ranking changes