「cast」の検索結果

Authorization Code Flow for web applications using MSAL.NET confidential client to sign in users and access APIs on their behalf

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。

Platform detection and adaptive spawning for CLI vs VS Code vs other surfaces

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。

Manage personal AI agents that travel with you across projects

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。

Squad branching model: dev-first workflow with insiders preview channel

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。

One-time skill for completing Aspire initialization in an existing app after `aspire init` has dropped the skeleton AppHost. Use this skill when an `aspire.config.json` exists but the AppHost has not yet been wired up.

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。

Team-wide charter and history optimization through skill extraction

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。

ที่ปรึกษาธุรกิจ SME + startup ทำ SWOT, Business Canvas, Porter 5 Forces, pitch deck, และ 3-year forecast

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。

ผู้จัดการ supply chain — ABC analysis, EOQ, safety stock, demand forecast, JIT, supplier mgmt, 3PL selection

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。

MUST USE when user wants to research/search/look up/find anything on the internet — e.g. "research this topic", "do a deep dive on X", "search the web for X", "see what people say about X", "look this up". Also MUST USE when user mentions any platform or shares any URL/link: Twitter/X, Reddit, Facebook, Instagram, YouTube, GitHub, Bilibili, XiaoHongShu, Xiaoyuzhou Podcast, LinkedIn/jobs/recruiting, V2EX, Xueqiu (stocks), RSS. 15 platforms, multi-backend routing (OpenCLI / per-platform CLIs / APIs). Zero config for 6 channels. Run `agent-reach doctor --json` to see which backend serves each platform right now. NOT for: writing reports/analysis/translation (this skill only FETCHES internet content); posting/commenting/liking (write operations); platforms that already have a dedicated skill installed (prefer that skill).

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 forensically auditing a Claude Code skill/agent/command/workflow library against RULESET.md by a fixed mechanical protocol — probing every file against the mechanically-checkable rules and reporting CONFORMS / VIOLATES / UNVERIFIABLE / N-A counts with quoted evidence. It casts NO judgment and emits NO pass/fail verdict; counts are the headline. Triggers on "investigate the library", "audit against RULESET", "find every violation", "forensic library audit", "evidence-only check". Not for routing/quality/single-responsibility judgment — use skill-library-review. Not the full sharded sweep — use the audit-library command.

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。

Apply these opinionated C# conventions whenever writing or reviewing C# 12 / .NET 8+ code: nullable enabled with warnings as errors, records and primary constructors, pattern matching over cast chains, the Result pattern for expected failures, async all the way with CancellationToken, IOptions config, IHttpClientFactory, and never returning EF entities from an API.

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 AR workflows: aging analysis, collection prioritization, payment follow-ups, cash application, and bad debt forecasting.

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。

Broadcast agent activity status to Discord channel (thinking, tool use, web search, coding, done, error). Use for transparency so users know agent is working.

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。

Operate Aavegotchi Gotchiverse player workflows on Base mainnet (8453): alchemica channeling, surveying and harvesting, crafting installations/tiles, building on parcels (equip/unequip/move/batch equip), installation upgrades, craft/upgrade queue management, and parcel access-right management. Use when interacting with Realm/Installation/Tile diamonds via subgraph-first discovery and onchain verification/execution with Foundry cast.

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。

案件预算和持续的 WIP/偏差监控。在案件设立时构建分阶段费用估算，按法域或工作流运行自下而上预算，计算应急准备金，并构建 AFA 安排（固定费用、上限费用、分阶段固定费用）。持续监控：对照预算的 WIP 跟踪、比例性评估（支出与进度）、带根本原因分析的偏差评述、完成预测、变现率监控、核销分析。触发词：'build a budget'、'fee estimate'、'what will this cost'、'WIP review'、'budget vs actual'、'how are we tracking against budget'、'we're over budget'、'realisation is poor'、'what's our ETC'、'budget for the German workstream'、'model the financial impact of this scope change'、'draft a fee adjustment'、'write-off analysis'、'how much contingency'、'AFA structure'、'fixed fee estimate'、'budget update'、'forecast to complete'。

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 design trends and recommend appropriate styles, color palettes, and typography systems for your project based on current design movements. NOT for accessibility auditing or full design system creation.

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。

Strategic analyst that maps competitive landscapes, identifies white space opportunities, and provides positioning recommendations. Use when users need competitive analysis, market positioning strategy, differentiation tactics, or "how do I stand out?" guidance across any domain (portfolios, products, services). NOT for market size estimation or financial forecasting.

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。

Detects acquired antimicrobial-resistance determinants and chromosomal point-mutation resistance in bacterial assemblies using AMRFinderPlus, ResFinder 4.0 (acquired + PointFinder), CARD-RGI, abritAMR, staramr, and species-specific callers (TB-Profiler, Mykrobe). Harmonises cross-tool output via hAMRonization, contextualises determinants with mobile-genetic-element annotation (MOB-suite, PlasmidFinder, MobileElementFinder, ICEberg), predicts phenotype against EUCAST or CLSI breakpoints, and translates calls into WHO GLASS reporting categories. Use when screening clinical or surveillance isolates for AMR, distinguishing acquired vs intrinsic vs point-mutation resistance, calling rpoB / katG / pncA / gyrA / mgrB mutations, reconciling AMRFinderPlus vs RGI vs ResFinder disagreement, contextualising carbapenemases or mcr alleles on plasmids, predicting susceptibility from genotype against the WHO Mtb 2nd-edition catalogue, or building a hAMRonized multi-lab AMR surveillance pipeline.

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。

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

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。

Up-to-date Zig programming language patterns for version 0.17.0-dev (0.16.0 stable APIs plus the 0.17 deltas). Use when writing, reviewing, or debugging Zig code, working with build.zig and build.zig.zon files, or using comptime metaprogramming. Critical for avoiding outdated patterns from training data - especially std.net→std.Io.net (requires Io instance), std.time timestamps removed (use clock_gettime), std.Thread.Mutex/Condition/sleep removed (use pthreads), std.crypto.random removed, build system APIs (root_module, Compile methods→Module methods), I/O APIs (buffered writer pattern), container initialization (.empty/.init), allocator selection (DebugAllocator), ArrayList now unmanaged by default, @typeInfo lowercase fields (.@"struct" not .Struct), and removed language features (async/await, usingnamespace). Also covers 0.17.0-dev deltas: b.args→run_cmd.addPassthruArgs(), std.gpu→std.spirv, @bitCast logical-bit (endian-agnostic) semantics, build configurer/maker split, and the zig-pkg/ package directory. Also covers quality tooling Zig does not ship: coverage with kcov (and why in-file tests wreck the denominator), detecting unused private functions (neither the compiler nor zlint's unused-decls finds them), duplicate detection with jscpd, zlint (NOT the same-named X.509 linter in Homebrew), and the built-in fuzzer whose testOne now takes *std.testing.Smith rather than []const u8.

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。

AI-powered flashcard management with automated podcast.

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 weather data and forecasts for farm fields via the Agronomy module.

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。

Integrates with the EchoDecks External.

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 songs, instrumentals, lyrics, podcasts using Mureka AI.

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。