1,277 件 ・ 関連度順
概要と使いどころ
Use when a task needs the judgment of a Brewmaster — setting or correcting mash pH before conversion, calibrating yeast pitch rates from wort gravity, deciding whether a diacetyl (VDK) reading clears a batch for cold crash or requires a diacetyl rest, investigating a contamination or off-flavor signal and scoping a recall, or specifying dissolved-oxygen and pasteurization controls to hit a TTB-compliant ABV label.
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 a Biological Technician — troubleshooting a failed assay or contaminated culture, deciding whether a batch of lab data is trustworthy enough to report, auditing a bench's SOP/QC discipline, or diagnosing calibration and reagent-lot problems behind inconsistent 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。
Use when a task needs the judgment of a Character/Motion Animator — triaging which shots in a batch get full 12-principles polish versus blocking-only under a tight schedule, choosing pose-to-pose vs. straight-ahead for a shot, writing a rig-limitation workaround memo, or reading a director's revision note as a pose fix vs. a timing fix.
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 comprehensive histone mark maps by aggregating narrowPeak data across multiple ENCODE experiments, donors, and labs. Use when the user wants to answer "where is this histone mark present in my tissue?" by combining peak calls from multiple studies into a union peak set with confidence annotations. Handles cross-lab batch effects, broad vs narrow marks, and ENCODE blocklist 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。
Compare ENCODE experiments across different biosamples, tissues, or cell lines to identify tissue-specific regulatory patterns. Use when the user wants cross-tissue comparison, cell-type comparison, tissue-specific elements, differential chromatin, biosample matching, disease vs normal comparison, developmental time course, constitutive vs variable regulation, or multi-tissue data availability mapping. Handles batch effect detection, biosample hierarchy, and comparison design.
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 and execute integrative analysis combining multiple ENCODE experiments for cross-dataset or multi-omic workflows. Use when the user wants to combine experiments, perform cross-dataset comparison, multi-omic integration, peak overlap analysis, differential binding, signal correlation, chromatin state segmentation, enhancer-gene linkage, or any analysis that requires merging or comparing data from two or more ENCODE experiments. Covers same-assay cross-sample, multi-omic same-sample, cross-organism, and perturbation integration designs. Guides compatibility checks, batch effect detection, normalization, integration strategy selection, and provenance documentation.
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。
Conduct rigorous cross-study meta-analysis of scRNA-seq data from ENCODE, integrating multiple single-cell transcriptomic datasets for a tissue/cell type. Use when the user wants to answer "what cell types exist in my tissue and what genes define them?" by combining scRNA-seq data across donors, labs, and platforms. Follows the Mawla et al. 2019 framework for assessing cross-study reproducibility, TIN-based quality filtering, and detection-limit-aware interpretation. Handles batch correction (Harmony/Seurat), dropout awareness, cross-contamination artifacts, and platform-specific biases. Use this skill for ANY scRNA-seq integration task, cross-dataset comparison, cell atlas construction, or reproducibility assessment involving ENCODE single-cell 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。
Use when the user mentions tosutil, TOS object storage, bucket/object operations, batch upload or download, object metadata, TOS connectivity, or errors such as 403/network/argument failures. 围绕火山引擎对象存储 tosutil 生成与校验命令、规划桶/对象操作并诊断错误；当用户提到 tosutil、TOS 桶对象管理、批量上传下载或相关排障时调用。
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。
Query and answer questions about Volcengine API specifications. Use when the user asks about API parameters, error codes, request methods, enum values, required fields, response structures, pagination, parameter dependencies, service capability lists, API availability, or API comparisons, even if they do not explicitly say "API". Typical intent includes checking what an action supports, which fields are required, what values a parameter accepts, why an API returns a specific error, how to pass nested or body parameters, how pagination works, what an API response contains, whether a batch operation exists, what services or versions expose an operation, or how two APIs differ. Use API Explorer data as the authoritative source and preserve constraints, examples, and caveats found in the spec. Answer in Chinese or English. When the user needs runnable SDK code, language-specific examples, or SDK configuration, hand off to volcengine-sdk-generator. When they need CLI operations, hand off to volcengine-cli.
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。
Drive a failing GitHub Actions run to green in as few CI runs as possible, with a bounded fix-critique-commit-push-recheck loop that batches every evidenced fix into each push. Use when the user supplies a GitHub Actions run URL or run ID and wants the failure fixed, or asks to "make CI green", "fix the failing workflow/build/tests", "fix the red build", or to keep iterating on a branch or pull request until its checks pass. Pulls run results and failed-job logs through the gh CLI, and sends every fix plan to the rubber-duck reviewer before any code is touched.
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。
Drive running Unity Editor from shell to verify compiles, playmode, scenes, screenshots. Use when editing C# scripts, scenes, or assets in a Unity project and needing to: (1) check compilation succeeds, (2) read console errors, (3) enter/exit Play mode, (4) capture screenshots or frame recordings, (5) select objects or aim the Scene camera, (6) query editor window layout. Injects a file-polling command bridge (UnityRemote.cs) — prefer this over batchmode (fights the Library lock) or GUI automation.
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。
Xilinx/AMD Vivado FPGA build workflow -- batch-mode TCL scripting, ADI HDL reference design integration, Zynq-7000/MPSoC block design, IP builds, synthesis, implementation, and bitstream generation. Use for any Zynq or UltraScale+ design that incorporates ADI transceivers or follows the ADI HDL reference design pattern.
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。
Master FFmpeg for video/audio conversion, compression, trimming, subtitles, streaming, and batch processing.
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。
Reach and sustain inbox zero: triage workflows, filters, templates, batching, and unsubscribing systems. Use when email eats your day or your inbox has become an anxiety source.
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。
Review Dependabot PRs efficiently: triage, risk assessment, batching, and auto-merge policies. Use when dependency update PRs pile up or you want a sane update workflow.
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。
Audit warehouse management system operations -- evaluate WMS platform architecture (Manhattan, Blue Yonder, SAP EWM, Korber, Infor), inbound receiving and ASN processing, putaway rules and cross-docking logic, picking strategy selection (discrete, batch, zone, wave, cluster.
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。
Maps dependencies between stories, code modules, tickets, or specs. Computes optimal implementation order with parallel batches, cycle detection, and critical path analysis.
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。
Analyze game code for performance bottlenecks including draw call batching and overdraw, shader complexity and LOD strategy, per-frame GC allocation pressure, object pooling gaps, physics timestep and collision matrix tuning, spatial partitioning for entity 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。
Four-phase skill for planning and executing large-scale codebase migrations using full-context AI analysis. Produces an impact map, ordered batch plan, subagent execution protocol, and cross-codebase validation pass. Optimized for Fable 5's 1M-token context window.
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 Jira tickets from meeting notes, user stories, or quick lists. Use this skill when: - User says "create tickets", "make Jira tickets from", "push to Jira" - User has meeting action items to convert to tickets - User has user stories from a spec to push to the backlog - User wants to batch-create tasks, stories, or bugs
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。
Convert Confluence pages to clean GitHub-Flavored Markdown files. Use this skill whenever the user wants to pull a Confluence page into the local repo, convert Confluence content to markdown, download a spec from Confluence, or batch-convert multiple pages. Also triggers on Confluence URLs, page IDs, or phrases like "pull this page", "download this spec", "confluence to md". Use this even if the user just pastes a Confluence URL and says something vague like "get this" or "convert this".
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。
Push markdown files to Confluence - update existing pages or create new ones under a parent page. Use this skill whenever the user wants to publish markdown to Confluence, update a Confluence page from a local .md file, create new Confluence pages, or batch-create pages. Also triggers on "push to confluence", "update confluence page", "create confluence page", "publish to confluence", "sync to confluence", or any mention of uploading/pushing markdown content to Confluence. Use this even when the user says "put this on confluence" or "make a confluence page for this".
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 this skill to audit CLI adapter projects (like opencli) for missing output fields, then batch-generate fixes and submit PRs. Turns AI agents into adapter quality reviewers.
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。
**CONVERSION SKILL** — Convert binary/Office documents to Markdown for LLM consumption. USE FOR: converting Word, Excel, PowerPoint, PDF, Visio, MS Project files to Markdown, batch document conversion, extracting text from non-readable formats. DO NOT USE FOR: Markdown formatting/linting, general file I/O, web scraping, image generation.
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。