「eas」の検索結果

AI situational awareness — internal threat detection for hallucination risk, scope creep, and context degradation. Maps Cooper color codes to reasoning states and OODA loop to real-time decisions. Use during any task where reasoning quality matters, when operating in unfamiliar territory, after detecting early warning signs such as an uncertain fact or suspicious tool result, or before high-stakes output like irreversible changes or architectural decisions.

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 a feature store using Feast for centralized feature management, configure offline and online stores for batch and real-time serving, define feature views with transformations, and implement point-in-time correct joins for ML pipelines. Use when managing features for multiple ML models, ensuring training-serving consistency, serving low-latency features for real-time inference, reusing feature definitions across projects, or building a feature catalog for discovery and governance.

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 WIT (Writing Is Thinking) as a human–LLM collaborative scientific reasoning skill for scientific question formulation, finding-driven research planning, next-experiment selection, Results or Discussion review, claim–evidence and reviewer stress tests, manuscript logic audits, deadline closure, and researcher growth. Use when the user invokes WIT or asks for these question-driven scientific reasoning workflows; do not use for generic copyediting, summarization, or literature search alone.

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。

Generalised autonomous optimisation loop — soft RLVR for any artifact a user can measure. Use this skill whenever a user wants to iteratively improve an artifact — code, prompts, documents, configs, designs, content — by running structured experiments, evaluating results against a multi-dimensional rubric, and learning from each attempt. Triggers include: "optimise this", "keep improving until it's good", "run experiments on", "autoresearch", "iterate on this overnight", "try different approaches and pick the best", or any request implying repeated evaluate-and-improve cycles. Also use when the user wants to improve a system prompt, a data pipeline, a writing style, or any artifact where quality can be decomposed into measurable tracks. For inference optimisation tasks (model latency, throughput, quantization, GPU deployment), a* delegates the low-level tuning to AITune while maintaining quality tracking and learning.

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。

xUnit, Moq/NSubstitute, FluentAssertions, and coverlet patterns for any .NET project. Covers test structure ([Fact]/[Theory]/[InlineData]), mocking discipline, fluent assertions, integration test setup with WebApplicationFactory, and coverage measurement. Stack-agnostic — referenced by every .NET plugin in the marketplace. Use this skill to: - Write clear, maintainable unit tests with xUnit [Fact] and [Theory]. - Mock dependencies with Moq or NSubstitute without overusing mocks. - Write expressive assertions with FluentAssertions. - Measure coverage with coverlet and enforce a minimum threshold. Do NOT use this skill for: - ASP.NET Core-specific integration tests (WebApplicationFactory, HttpClient — those are in aspnet-core-plugin:aspnet-conventions). - EF Core in-memory or SQL Server LocalDB test patterns (aspnet-core-plugin:efcore-patterns). - C# language idioms — see csharp-foundation:csharp-conventions.

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。

Design and build runnable iOS UI mockups in SwiftUI, including UI direction, multiple visual or interaction variants, realistic sample data, state switching, Xcode Previews, and Simulator validation. Use when the user wants to explore what an iOS screen should look like, compare SwiftUI UI ideas, create a clickable native prototype, validate an app flow before production implementation, or asks for a SwiftUI mock, iOS mockup, native prototype, 画面モック, UI案, SwiftUIで動くモック, or 実際に触れるiOSモック.

Maintain and publish the advisor-owned current research state, durable research-ideas syntheses, and dataset analysis. Use when evidence or human guidance changes the research focus or direction, durable research ideas should be recorded, or dataset understanding changes.

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。

Fetch upcoming economic events and data releases using FMP API. Retrieve scheduled central bank decisions, employment reports, inflation data, GDP releases, and other market-moving economic indicators for specified date ranges (default: next 7 days). Output chronological markdown reports with impact assessment.

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。

Release one current Proto UI work-item claim when it expired, became invalid, or the contributor stopped. Use only for the contributor's own recorded claim and only when the exact reversible GitHub mutation is authorized. Do not select replacement work, change readiness, or release another contributor's claim.

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 reviewed Proto UI global release candidate as repository state after current project authority has chosen the exact version and stage. Use for draft Version identity, exact package metadata, notes, bill of materials, rehearsal, and publish dry-run. Publication remains a distinct privileged operation.

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。

Force `rust-embed` to re-embed assets from `$GRAFEMA_UI_DIST` (or any env-driven path) when cargo's incremental compilation skips the macro re-expansion. Use when: (1) you rebuilt the GUI bundle but the rust-server binary still serves the OLD bundle, (2) `cargo build --release` finishes in seconds (incremental hit) and `strings target/release/binary | grep <new-hash>` finds nothing, (3) any rust-embed pipeline where assets live outside the cargo source tree and are picked up via env var or symlink. Cargo only re-runs the proc macro when the rust file declaring `#[derive(RustEmbed)]` changes — env var changes alone don't trigger 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。

Tag a new release, push, and publish on GitHub

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。

Cut a NowStack Mobile release. Bump version, generate changelog, and promote existing TestFlight/Play internal builds to production. Does not rebuild.

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-shot NowStack Mobile iOS deployment with asc App Store Connect CLI. Use when preparing TestFlight/App Store releases, uploading IPAs, syncing screenshots/metadata, validating review readiness, or submitting the iOS app without EAS Submit.

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-shot NowStack Mobile iOS deployment with asc App Store Connect CLI. Use when preparing TestFlight/App Store releases, uploading IPAs, syncing screenshots/metadata, validating review readiness, or submitting the iOS app without EAS Submit.

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 a NowStack Mobile iOS app and upload it to TestFlight. Always check OS first: macOS uses local `eas build --local`; Windows/Linux must run ns-setup-expo and use EAS cloud.

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。

Finish NowStack Mobile Google Play setup and internal Android releases. Use for signed AAB upload, gpc/browser fallback, privacy/app-content gates, or gpc commit failures.

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-shot NowStack Mobile Android deployment with GPC Google Play Console CLI. Use when preparing Play Store releases, uploading AABs, syncing listings/screenshots, monitoring rollout health, or submitting Android without EAS Submit.

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。

Uses OpenSEO as the measured SEO data plane for keyword volume and difficulty, SERPs, ranked keywords, backlinks, local SEO, rank tracking, Search Console, GA4, and site audits. Use for measured SEO metrics, indexing evidence, organic analytics, local rankings, backlink profiles, or rank trackers. Prefer OpenSEO over guessed metrics when connected; otherwise continue with qualitative web research and mark numeric metrics unknown.

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 keyword research powered by web search and brand context. Use this skill whenever the user mentions keywords, keyword research, SEO topics, content topics, 'what should I write about', content strategy, blog ideas, search traffic, or content planning. Also trigger when the user wants to plan what content to create, when existing content isn't attracting search traffic, when any skill needs keyword-plan.md but it doesn't exist, or when the user asks about SEO in the context of content creation. Even casual mentions like 'I need blog post ideas' or 'what topics should I cover' warrant this skill. 8-phase process from seed to content brief.

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。

本番に出る前の修正が積まれたrelease pull requestに、デプロイの前後に人間がやる事をまとめたコメントを投稿・更新する。 codepatrol skillが起動したsubagentが実行する。ユーザーが直接呼び出す事は想定していない。

ライブラリ更新pull requestのレビュー。 dependabotやrenovatebotが作成したPR、または手動で作成されたライブラリ更新PRをレビューし、 release note分析、コード更新、依存関係調査、過去の失敗調査を行う。

Codex CLIと相談するスキル。 ユーザーが「codexと相談して」「codexに聞いて」「codexにレビューしてもらって」と言った時に使用する。 現在の会話コンテキストに基づいてCodex CLIにプロンプトを送り、結果を要約して報告する。 「codexはAstraで」「effortはhighで」のようにCodexのmodelやreasoning effortを指定された時は、そのmodelとeffortで実行する。

Use after a release succeeds, when maintainers need to sync apps/pythinker-code/CHANGELOG.md into docs/release-notes/changelog.md, then open a PR on a dedicated branch.

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。