「cro」の検索結果

Convert between LaTeX and Microsoft Word for academic manuscripts in either direction, and assemble .tex from mixed sources. Fires on: converting .tex/LaTeX to Word/.docx ("tex to docx", "latex to word", "tex2docx", "convert to word", "pandoc convert"); converting .docx manuscripts to LaTeX for editing and back ("convert to latex", "manuscript", "footnotes", "reference doc", the docx-to-tex-to-docx round-trip / academic paper editing pipeline); high-fidelity delivery where plain pandoc loses tables, mangles cross-references, or fails on custom macros — booktabs/regression tables, OMML equations, cleveref, \estauto, \@@input, \thanks, TikZ, native Word tables, longtable, siunitx; and building .tex from mixed PDF/docx/LLM-generated sources. Replaces and reroutes the retired skills manuscript-editing-template-latex, latex-to-docx-fidelity, tex2docx, and latex-from-mixed-sources.

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 optimizing or reviewing large lists, virtual scrolling, windowing, react-window, TanStack Virtual, variable-height rows, dynamic measurement, infinite scroll, grid virtualization, or scroll performance; Chinese triggers include virtual lists, large list optimization, scroll performance.

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 crossing guard or traffic flagger — siting a school crossing or work-zone flagger station, choosing high-visibility apparel class and taper length for a lane closure, deciding whether a crossing needs an adult guard versus a signal, or writing site-specific positioning instructions for a new location.

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。

Configure and troubleshoot Google Cloud cross-project centralized logging and read-time aggregation. Use when: - Setting up log routing from multiple projects/folders/organizations to a central log bucket. - Creating cross-project log sinks and configuring central log buckets. - Troubleshooting cross-project routing. Don't use for single-project basic configurations.

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 configure a Lightning Service Console app in Salesforce — Console Navigation (split view), workspace tabs and subtabs, the utility bar with Omni-Channel, Macros and History, Quick Text, keyboard shortcuts, and navigation rules per object. Trigger keywords: Service Console, console app, workspace tabs, subtabs, utility bar macros, Omni-Channel utility, split view, Quick Text, console navigation rules, keyboard shortcuts service console, navType Console, workspaceConfig mappings, WorkspaceMapping fieldName, UtilityBar FlexiPage, tabLimitConfig, listPlacement, MacroInstruction, QuickText Channel multipicklist, isNavTabPersistenceDisabled. NOT for opening or refreshing console tabs from code — use lwc/lwc-console-workspace-api. NOT for Omni-Channel routing setup — use admin/omni-channel-routing-setup.

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Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

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。

Cross-platform desktop development for macOS and Windows -- platform abstractions, UI convention differences, and multi-platform CI/CD. Activate on: cross-platform app, macOS and Windows, platform differences, DMG installer, MSI installer, NSIS installer, Cmd vs Ctrl, platform abstractions, menu bar differences, native conventions. NOT for: mobile apps, web-only apps, Tauri-specific internals (use rust-tauri-development).

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Which docs in nuxt-crouton to trust and how to resolve contradictions between them. Use when two docs disagree, when a doc's claim doesn't match the code ("the README says packages/nuxt-crouton but that dir doesn't exist"), when deciding whether a guide/writeup is authoritative before following it, or when asked "is this doc current", "which doc wins", "why does CLAUDE.md say X but the code says Y". Also the reference for the supersession-banner practice.

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Turn a proven POC into a real, crouton-native, documented package(s) + a consuming app — the deliberate "step back and rebuild" checkpoint. SPEC-DRIVEN — the POC discovers a behaviour spec (captured at each sign-off), graduation freezes it as authoritative, the app is rebuilt the crouton way to satisfy it, and nothing is done until it's checked + signed off against two gates (experience + crouton-conformance). Use when a `pocs/*` app is proven and "done", or asked to "graduate this poc", "make it a real app", "extract the package".

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Symptom → root-cause lookup table for nuxt-crouton's recurring failure modes — exact error strings mapped to their known cause, fix, and evidence issue. Use when you hit an error you don't recognize in this repo, before debugging from first principles. Trigger phrases and symptoms: "Cannot resolve entry module .nuxt/hub/db/schema.entry.ts", "Could not load '@fyit/crouton'", "No migrations present", "No schema files found", "$setup.t is not a function", "does not provide an export named 'Map'", "no such table: translations_ui", "collection pages 500 in production", "the build was green but the app is broken", "is this a known issue?".

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Correlate events across multiple log files from different sources, systems, or time periods. Build unified timelines, identify causal relationships between events, and highlight anomalies that span multiple data sources. Supports timezone normalization and gap detection. Use when analyzing logs from multiple systems (frontend, backend, database, infrastructure), investigating distributed system failures, or building event timelines across services. Triggers: "correlate these logs", "build timeline from multiple logs", "cross-system analysis", "find related events across logs", "multi-source log analysis", "distributed trace 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。

新しいプロジェクトまたは既存リポジトリに Claude 用の kickoff 文脈を導入するスキル。 テンプレートとリポジトリ証跡、ユーザー入力をもとに `CLAUDE.md`、`docs/PROJECT_BRIEF.md`、 `docs/SKILL_ROUTING.md`、`docs/QUALITY_GATES.md`、`docs/TEST_STRATEGY.md`、 `docs/DECISION_LOG.md`、`docs/HIDDEN_CONTRACT_REGISTER.md`、 `docs/CROSS_MODULE_CONSISTENCY_MATRIX.md`、`.claude/rules/*`、 `.claude/commands/project-kickoff.md` を必要に応じて作成・更新する。 Use when starting a new project, retrofitting AI project context into an existing repository, bootstrapping Claude memory, or standardizing kickoff documents, rules, and slash-command scaffolding. Distinct from project-manager / project-plan-creator (which plan work), and from completion-quality-gate-designer / hidden-contract-investigator / safe-by-default-architect / cross-module-consistency-auditor / production-parity-test-designer (which deeply refine individual artifacts after bootstrap).

Configures autonomous heartbeat and cron-based proactive routines (e.g., morning briefing setup, unanswered-message scan cadence). Invoke when user is SETTING UP or MODIFYING a proactive routine, not when the routine itself fires. Cron crons execute their own logic — they do NOT load this skill. Triggers: "set up proactive check", "configure heartbeat", "add morning briefing", "tune cron cadence".

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 working with Cronofy — cronofy calendar API platform management covering calendars, events, availability, scheduling, and account sync health. Use when monitoring calendar integrations, analyzing scheduling patterns, reviewing availability rules, managing connected accounts, or troubleshooting Cronofy calendar sync issues.

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 working with Crossplane — crossplane Kubernetes-native infrastructure management. Covers managed resources, compositions, provider configurations, composite resource definitions (XRDs), claims, and provider health. Use when managing Crossplane resources, debugging provisioning failures, inspecting compositions, or auditing cloud resource status.

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 working with Crowdstrike — crowdStrike Falcon endpoint detection and response, threat intelligence, host management, and incident investigation. Covers detection queries, host inventory, IOC searches, real-time response sessions, and vulnerability assessment. Use when investigating security incidents, reviewing endpoint health, analyzing threat detections, or managing CrowdStrike Falcon sensors.

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Activate this skill when BenchmarkDotNet (BDN) is involved in the task — creating, running, configuring, or reviewing BDN benchmarks. Also activate when microbenchmarking .NET code would be useful and BenchmarkDotNet is the likely tool. Consider activating when answering a .NET performance question requires measurement and BenchmarkDotNet may be needed. Covers microbenchmark design, BDN configuration and project setup, how to run BDN microbenchmarks efficiently and effectively, and using BDN for side-by-side performance comparisons. Do NOT use for profiling/tracing .NET code (dotnet-trace, PerfView), production telemetry, or load/stress testing (Crank, k6).

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Implements data loss prevention policies using Microsoft Purview to protect sensitive information across Exchange Online, SharePoint, OneDrive, Teams, endpoint devices, and Power BI. The analyst configures sensitivity labels with encryption and content marking, creates DLP policies using built-in and custom sensitive information types with regex patterns, Dağıt:s endpoint DLP rules to control file operations on Windows and macOS devices, and monitors policy effectiveness through Activity Expl...

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。

Cross-Entity Disclosure Tracker App-in-Skill — a Busabase review workspace that helps a compliance/IR team assemble and track a standardized disclosure package per financing vehicle (fund/SPV), across a generic onshore origination entity, an offshore fund-manager entity, and a listing/exchange venue. Use when the user invokes $kelly-disclosure-tracker or /kelly-disclosure-tracker, wants to review disclosure checklists, vehicle readiness, cross-entity reconciliation flags, or reviewer notes across multiple financing vehicles. Review workspace only — it never files anything or calls any external system.

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Cross-chain interoperability for Stellar. Entry point with a rail-selection decision table and shared pitfalls, routing to two companion files — cctp.md (Circle CCTP V2, native USDC burn-and-mint between Stellar and EVM/Solana chains, domain 27, the CctpForwarder requirement for Stellar recipients) and axelar.md (Axelar GMP for Soroban contracts calling contracts on other chains, and the Interchain Token Service for multichain tokens). Also covers NEAR Intents (intent-based cross-chain swaps into XLM or Stellar USDC) at the routing level. Use when bridging USDC to or from Stellar, sending messages between a Stellar contract and another blockchain, making a token exist on multiple chains, or adding cross-chain swaps to an app.

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Turns Hi-C/Micro-C FASTQ into a deduplicated, filtered .pairs file with pairtools and decides whether the library worked. Covers the bwa mem -SP5M / bwa-mem2 / chromap --preset hic alignment idiom (mates mapped as independent single-end reads), pairtools parse vs parse2 and the walks-policy choice (5unique pairwise vs all for Pore-C/Micro-C concatemers), pair-type classification (keep UU and rescued UC), dedup (PCR vs optical/by-tile), select by pair_type/MAPQ/distance, restriction-fragment handling (restrict, Arima dual-enzyme, Micro-C/DNase fragment-free), and allele-specific phasing (pairtools phase to two coolers). The library-QC decision uses % long-range cis as the one-number quality metric, trans as the noise floor, orientation balance as fragment-map-free dangling-end/self-circle QC, and % duplicates as a complexity proxy. Use when processing Hi-C/Micro-C/Omni-C reads into pairs, judging library quality, handling multi-enzyme or restriction-agnostic protocols, or generating allele-specific contacts.

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Transfers gene annotations between genome assemblies via coordinate liftover (UCSC liftOver, CrossMap for same-species version updates) or feature/sequence projection (Liftoff for same/close species, miniprot for protein-level cross-species, TOGA/GeMoMa/CAT for distant clades). Covers the coordinate-vs-projection decision by divergence, why a successful lift is not biological confirmation, reference bias, the silent-dropping of unmapped features, build/PAR/MHC/inversion hazards, and transfer-vs-de-novo validation. Use when annotating a new assembly of a species with an existing reference, harmonizing coordinates across builds, or mapping annotations across related species.

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。

Automate browser testing, web scraping, and user workflow testing with Playwright across multiple browsers. Use when writing end-to-end tests for web applications, automating repetitive browser tasks, scraping data from websites, testing across Chrome/Firefox/Safari, taking screenshots for visual regression testing, testing authentication flows, filling and submitting forms programmatically, testing responsive designs across viewports, or any browser automation requiring reliable, cross-browser testing capabilities.

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。