247 件 ・ 関連度順
概要と使いどころ
Find which ChatGPT search queries mention a given brand. Tests long-tail queries against ChatGPT's web-search-enabled model and reports which ones surface the brand. Use when the user asks to "find queries for [brand]", "check GEO visibility", "which queries mention [brand]", "geo query finder", "find AI mentions", or "test ChatGPT queries for [brand]".
日本語の概要は準備中です。原文の説明を表示しています。
Use AiZynthFinder for retrosynthetic planning, configuration, route analysis, custom extensions, and focused development workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Detect and remove doublets (multiple cells captured in one droplet) from single-cell RNA-seq data. Uses Scrublet (Python), DoubletFinder (R), and scDblFinder (R). Essential QC step before clustering to avoid artificial cell populations. Use when identifying and removing doublets from scRNA-seq data.
日本語の概要は準備中です。原文の説明を表示しています。
Detect and track antimicrobial resistance genes using AMRFinderPlus and ResFinder with epidemiological context. Monitor resistance trends and identify emerging resistance patterns. Use when screening genomes for AMR genes or tracking resistance in surveillance programs.
日本語の概要は準備中です。原文の説明を表示しています。
Detect antimicrobial resistance genes using AMRFinderPlus, ResFinder, and CARD. Screen isolates and metagenomes for resistance determinants. Use when characterizing resistance profiles in clinical isolates, surveillance samples, or metagenomic data.
日本語の概要は準備中です。原文の説明を表示しています。
Identify coverage gaps in existing insurance portfolios. TRIGGERS - Use when user needs help with coverage-gap-finder related tasks.
日本語の概要は準備中です。原文の説明を表示しています。
Extract endpoints, secrets, and hidden routes from JavaScript files using LinkFinder, SecretFinder, JSluice, and source-map analysis. Use when the user has live hosts and needs to mine the JS for attack surface that's not visible in the UI.
日本語の概要は準備中です。原文の説明を表示しています。
Enumerate subdomains using passive and active techniques (subfinder, amass, chaos, assetfinder, crtsh, DNS brute force). Use when the user has a root domain in scope and needs the full subdomain list before probing.
日本語の概要は準備中です。原文の説明を表示しています。
Plan synthetic routes and judge whether a proposed molecule can actually be made, using AiZynthFinder's Monte-Carlo tree search over template-derived reactions and a purchasable building-block stock. Use this skill to configure expansion and filter policies, choose a stock file, run route search over a candidate set, and read the returned trees — solved fraction, route depth, and which building blocks a route bottoms out in. Also trigger on AiZynthFinder, retrosynthetic tree search, synthetic accessibility, SAscore, RAscore, building-block stock, reaction template, or route scoring.
日本語の概要は準備中です。原文の説明を表示しています。
Retrieve up-to-date library, framework, and project documentation using scripts + MCP tools (Context7, Context Hub) with intelligent fallback. Use this skill whenever the user or agent needs documentation for any library, framework, API, SDK, or internal project spec. Triggers on "docs for [X]", "how does [library] work", "find documentation", "API reference for", "look up [feature] in [library]", "latest docs", "what's the API for", "find our [internal spec]", or any request that requires current, accurate documentation rather than relying on training data. Always prefer this skill over raw WebSearch for documentation retrieval — it returns structured, context-efficient results.
日本語の概要は準備中です。原文の説明を表示しています。
Command-line fuzzy finder for interactive filtering.
日本語の概要は準備中です。原文の説明を表示しています。
Universeller Skill für LLM-Navigation, Orientierung und Ausfallsicherheit. Stellt aktives Wayfinding, Selbstorientierung und Wiederherstellungsheuristiken bereit, wenn Agenten mit Kontextdrift, fehlschlagenden Werkzeugen, Schleifen oder Sackgassen konfrontiert sind. Enthält die synonymen Strategien survival-routing, dead-reckoning, pathfinder-routing und celestial-routing.
日本語の概要は準備中です。原文の説明を表示しています。
指定されたファイルやフォルダを種別に応じた最適なアプリで開くスキル。Markdown (.md) は grip で GitHub 風にレンダリングしてブラウザ表示、HTML はブラウザ表示 (config でテスト用ブラウザ・プロファイルを指定。未設定なら初回に質問して保存。同じ URL のタブが開いていれば新規タブを増やさずリロード)、フォルダは `open` で Finder 表示、その他は Antigravity IDE で開く。ユーザーが「このファイル開いて」「〜をブラウザで見たい」「〜をプレビューして」などファイルやフォルダを開く・見る・表示する意図を示したら必ず使用する。
Takes raw leads and enriches them to outreach-ready status. Chains company-researcher, cro-auditor, decision-maker-finder, apollo-lead-finder, email-validator, and personalization-enricher.
日本語の概要は準備中です。原文の説明を表示しています。
一度の対話では収まらない大きな企画や変更を、決めるべき問いと依存関係に整理します。課題管理ツールに判断の記録を残し、実行に移るまでの道筋を明らかにするスキル。
Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features, and propose a unified architecture. Use when asked to "find the ideal path," unify duplicated systems, or audit architecture before a refactor. Emits a proposed unified flowchart plus per-system /make-plan prompts.
日本語の概要は準備中です。原文の説明を表示しています。
Pathfinder traversal of the knowledge graph starting from a seed entity
日本語の概要は準備中です。原文の説明を表示しています。
Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein families, and cautiously interpreted dated phylogenies.
日本語の概要は準備中です。原文の説明を表示しています。
Builds a ranked list of prospects worth contacting. Works out the owner's ideal customer profile from the customers they already have, finds look-alike companies and the right contact at each, enriches them with firmographics and buying signals, scores them, and delivers the list as an XLSX, with an offer to also create the records in the CRM. Runs on Apollo when connected and falls back to web research plus an uploaded customer list when it isn't. Use this whenever the owner wants new prospects, a target list, or help finding customers — including phrasings like "who should I be calling," "find me more customers like my best ones," "build me a prospect list," "I need leads," "who else looks like Acme," or "help me find companies in this area that need what we do." Reach for it even when the owner describes the customer they want rather than asking for a list.
日本語の概要は準備中です。原文の説明を表示しています。
Fills the funnel end to end without the owner babysitting it — reads the market and the competition for context, builds a ranked list of named prospects with a reason attached to each, writes personalized outreach in the owner's own voice, and logs every touch to the CRM. Chains lead-finder, outreach-composer, and crm-autopilot behind a web-native market read, with an owner approval at every handoff. Use this whenever the owner wants more pipeline rather than one specific piece of it, including phrasings like "I need more leads," "fill my funnel," "who should I be calling and what do I say," "find me customers like my best ones and reach out," "build me a prospect list and write the emails," or "sales has gone quiet, get something moving." Reach for it when the owner describes wanting new business generally rather than asking for a list or a single email.
日本語の概要は準備中です。原文の説明を表示しています。
Reviews a PR or diff with multi-angle finders and adversarial verification, then reports a findings table, a merge/no-merge recommendation, required followups, and offers to create a follow-up PR. Use when the user types /review-pr [PR# | branch | path].
日本語の概要は準備中です。原文の説明を表示しています。
Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA products, hardware, software, SDKs, GPUs, Jetson/JetPack/L4T/BSP/SDK Manager/driver/flashing/setup, CUDA, NIM, NeMo, Omniverse/OpenUSD/SimReady, RAPIDS/cuDF, cuPyNumeric, cuOpt, Dynamo, Holoscan, TensorRT, DeepStream, VSS, TAO, NGC/NVCF. Do not use for generic non-NVIDIA route, optimize, deploy, AI, video, data, or infrastructure tasks.
日本語の概要は準備中です。原文の説明を表示しています。
Process, quality-control, annotate, and visualize single-cell or single-nucleus RNA-seq datasets across tissues and species. Use when Codex needs to build, adapt, or review a general scRNA-seq QC pipeline; choose dataset-appropriate cell-level filters from QC distributions; run required scDblFinder-based doublet and ambient-RNA filtering; annotate cells with matched references or marker-based fallbacks; or generate global and per-group UMAP visualizations for large scRNA-seq datasets.
日本語の概要は準備中です。原文の説明を表示しています。
Your pathfinder for navigating unknown codebases. Investigates with precision, implements surgically, and never assumes — if it doesn't know, it says so. Maintains a .notebook/ knowledge base that grows across sessions, turning every discovery into lasting intelligence. Summons available skills, MCPs, and docs when the mission demands. Use when fixing bugs, implementing features, refactoring, investigating flows, or any development task in unfamiliar territory. Triggers on "fix this", "implement this", "how does this work", "investigate this flow", "help me with this code". Do NOT use for greenfield scaffolding, CI/CD, or infrastructure provisioning.
日本語の概要は準備中です。原文の説明を表示しています。