「discover」の検索結果

Design consumer ordering experiences — discovery, cart, checkout, tracking, and reorder flows that convert.

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。

ChIP-seq analysis — peak calling, differential binding, motif discovery, and QC with phantom-peak metrics.

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。

Deploy cloud access security brokers — shadow IT discovery, SaaS governance, and cloud data protection.

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。

Optimize content for AI answer engines (AEO/GEO): citation-friendly structure, factual precision, and measuring AI visibility. Use when AI search drives discovery.

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。

Deep codebase exploration, architectural research, and solution discovery. Use when investigating problems, understanding complex flows, or evaluating technical approaches without jumping straight into code mutation or TDD.

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。

Prepare a day-one patch for a game launch. Scopes, prioritises, implements, and QA-gates a focused patch addressing known issues discovered after gold master but before or immediately after public launch. Treats the patch as a mini-sprint with its own QA gate and rollback plan.

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。

Run a structured discovery session to build an Allium specification through conversation. Use when the user wants to create a new spec from scratch, elicit or gather requirements, capture domain behaviour, specify a feature or system, define what a system should do, or is describing functionality and needs help shaping it into a specification.

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 when a task needs the judgment of an airfield operations specialist — running a Part 139 self-inspection of the movement area, assigning a Runway Condition Code (RwyCC) after snow/ice contamination, deciding whether a discovered hazard needs an immediate NOTAM, triggering a Wildlife Hazard Assessment after a strike or sighting, or judging a FOD find as immediate-closure versus scheduled removal.

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。

Integrate multiple ENCODE data types (RNA-seq, ATAC-seq, Histone ChIP-seq, TF ChIP-seq) for a tissue/cell type to build a comprehensive regulatory landscape. Use when the user wants to answer "what are the enhancers, promoters, and regulatory elements active in my tissue, and which transcription factors control them?" by layering expression, chromatin accessibility, histone marks, and TF binding data. Follows the Mawla et al. 2023 framework for cross-assay integration of islet cell type-specific data. Handles chromatin state annotation (ChromHMM), enhancer-gene linkage, TF motif enrichment, and cell type-specific regulatory element identification. Use for ANY multi-omic analysis, enhancer discovery, regulatory network construction, or epigenomic characterization using ENCODE 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。

Orchestrates 6-phase SDLC pipeline (discovery, requirements, architecture, workstreams, implementation, summary) for guided feature development. Use when user runs /core:develop command, requests spec-driven development, wants to create implementation plans with architecture decisions, or mentions "SDLC", "spec-driven", "plan feature", "development pipeline". Supports plan persistence, wave-based resume, autonomous mode, and architecture/implementation verification.

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。

Discover a domain's top organic competitors from Ahrefs: competing domains, keyword overlap count, shared keywords, and unique competitor keywords. Use when user says "Ahrefs competitors", "organic competitors", "competing domains", "keyword overlap", or "who competes with".

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。

Discover newly ranking keywords using Google Search Console data. Finds queries that had zero clicks or impressions in the prior 28 days but started appearing in the current period, revealing emerging content opportunities. Use when user says "new keywords", "new rankings", "keywords started ranking", "recently ranking", or "new queries".

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。

List, select, and install Volcengine skills from the volcengine-skills marketplace. Use when a user asks which Volcengine skill or plugin handles a task, wants to browse every available skill, needs an optional skill that is not currently installed, or asks to install or check the installation status of a Volcengine skill. Also use to discover any core skill, including this finder. Use as a fallback during a Volcengine operation when the currently loaded or installed skills cannot cover the required product, tool, or workflow; inspect the full catalog, select the missing capability, and install it.

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。

Create and manage Volcengine cloud resources using the Volcengine CLI (`ve` command). Supports all Volcengine services including ECS, VPC, CLB, RDS, Redis, and more. Trigger this skill whenever the user asks to create, query, modify, or delete cloud resources on Volcengine, mentions the `ve` command, says "volcengine CLI", or describes infrastructure tasks such as "create an ECS instance", "set up a VPC", "list security groups", "allocate an EIP". Also trigger on Chinese prompts mentioning "火山引擎" or "火山" (e.g., "火山引擎上有哪些 ECS"、"查一下我火山的云服务器"、 "火山引擎创建一个 VPC"、"火山的 Redis 实例列一下"). Also trigger when the user encounters errors from `ve` commands and needs troubleshooting help. Also use for TOS bucket/object operations, tosutil (sometimes written tosutils), Ark CLI / arkcli model discovery, inference, generation, endpoints, fine-tuning, plans, or usage, and TLS (日志服务) / volclog log search, analysis, ingest, export, or LogCollector collection, through `ve tosutil`, `ve arkcli` and `ve volclog`.

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 when operating Volcengine TLS (日志服务) through volclog in agent or CI sessions and you need a contract-first workflow for runtime selector resolution, discover/describe/exec routing, App resource or Topic resolution, envelope reading, large-result delivery, and error recovery without guessing commands, fields, or shortcut flows. 当用户提到火山引擎日志服务 TLS、volclog、日志检索/分析/导入/导出、 日志项目或日志主题等操作时调用。

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。

Generate images via the Stable Diffusion WebUI / Forge HTTP API (AUTOMATIC1111-compatible `/sdapi/v1/*`). Use when the user wants to (1) discover or pick a model / extra module (TE/VAE) / sampler / scheduler / style preset from a running sd-webui server, (2) generate an image with a given prompt (txt2img), (3) check generation progress, (4) cancel/interrupt an in-flight generation, (5) inspect or change a global sd-webui option (e.g. active checkpoint), or (6) test connectivity. This skill talks to a *generic* sd-webui-compatible server (AUTOMATIC1111, Forge, reForge, sd-webui-forge-classic). Do NOT trigger for requests that are purely writing the prompt itself.

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。

Build native Linux packages (.deb / .rpm / .apk / .pkg.tar.zst) from a PKGBUILD or yap.json project using the yap-mcp Model Context Protocol server. Use this skill whenever the user asks to "build a package", "make a deb/rpm", "cross-compile for arm64/aarch64", "sign a release", generate SBOMs, install a built artifact, or diagnose why a yap build failed. The yap MCP server exposes async builds with buildID polling, validation, dependency-graph inspection, and artifact discovery.

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。

Discover, search, and manage Spotify music, audiobooks, podcasts, and playlists, including deleting shows or episodes you created with Save to Spotify.

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。

Autonomous competitive analysis and feature discovery pipeline. Runs /compete and /new-features on each project, produces actionable market positioning insights. Schedule daily or weekly.

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。

Full-spectrum product research pipeline. Runs competitive analysis, technology trend scouting, user feedback analysis, and feature ideation. Triggers: on: research, competitive research, market research, feature discovery, what should we build next.

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。

Feature discovery agent — mines project docs, memory, user feedback, and competitor gaps to surface the highest-leverage features to build next. Outputs a prioritized feature backlog.

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。

Generate user research interview scripts using Mom Test principles. Use this skill when: - You are preparing for user interviews or pilot observation sessions - You need a question bank organized by behavior, context, pain points, and workflow - You want interview guides that avoid leading questions and hypotheticals - You need per-persona interview guides - You are preparing for field visits or pilot debriefs

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。

Update user personas from new feedback, pilot data, or research. Use this skill when: - New pilot data or feedback reveals changed user behaviors or pain points - Annual persona review is due (1-2x per year) - New user segments are discovered that need persona documentation - Existing personas need validation against recent 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。

Facilitate structured requirements gathering. Use when the user says "gather requirements", "elicitation session", "stakeholder interview", "requirements workshop", "what do the users need", "discover requirements", "trawl for requirements", "understand the business need", "conduct interviews", or needs to systematically extract requirements from stakeholders - even if they don't explicitly say "elicitation".

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。