「standard」の検索結果

Optimize Redis as cache and coordination infrastructure with TTL, eviction, and latency-aware key design. Use when implementing Redis caching, key invalidation, or Redis performance work.

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。

Write safe concurrent Go code with goroutines, channels, and context. Use when implementing concurrency with goroutines, channels, or context in Go.

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 MongoDB data-modeling, indexing, and query rules from access patterns. Use when designing schemas, choosing embed vs reference, or tuning MongoDB query behavior.

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。

Implement typed routes, redirection, and guards using go_router in Flutter. Use when changing go_router navigation; defer widget tests that merely assert redirect behavior and defer slide/transition animation work.

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 additive, zero-downtime schema migrations with rollout, backfill, and rollback awareness. Use when renaming columns, backfilling data, or shipping risky database 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。

Configure service locator setup using injectable and get_it in Flutter. Use when wiring dependency injection with get_it or injectable.

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。

Implement reactive state with GetX controllers, bindings, and observables in Flutter. Use when managing app state with GetxController, Obx, GetBuilder, or dependency lifecycle—not unit tests for existing controllers.

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。

Compose modern Flutter layouts and widgets idiomatically. Use for widget trees, layout constraints, mounted safety, and UI composition—not BLoC state management, routing, dependency injection, or tests.

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。

Right-size, ground, and gate SDLC decisions with SNC-sized depth, said-vs-assumed write-back, an evidence ledger, honest option cards, recorded approval, and self-review. Use when running brainstorm-feature, plan-feature, design-solution, or system-design-session.

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。

Enforce Red-Team verification and adversarial protocol audit. Use only when verifying completion, performing self-scans, or checking protocol violations; do not activate for ordinary implementation, configuration, or unit-test requests.

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。

Pre-write audit for skill violations: checks planned code against loaded skill anti-patterns before any file write. Use when writing Flutter/Dart/TS code or editing SKILL.md files with active project skills. Load as composite; on auto-fixed violation, also load +common/common-learning-log.

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。

Maintains sparse, reviewable cybersecurity framework edges with versioned IDs, relation, rationale, source, and review status. Use when mapping exercise observations or procedures to NIST, ATT&CK, or another named framework.

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。

Designs and reviews detections from telemetry prerequisites, correlation logic, Sigma metadata, severity, status, and benign cases. Use for detection rules, Sigma review, analytic coverage, or tuning; not generic logging advice or live deployment.

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。

Adjudicates authorized exercise outcomes against independently held ground truth, redacted evidence, and explicit status boundaries. Use when comparing observations, resolving discrepancies, or preparing evidence-led security-review handoffs.

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 distinctive, production-grade frontend UI with bold aesthetic choices. Use when building web components, pages, interfaces, dashboards, or applications in any framework (React, Next.js, Angular, Vue, HTML/CSS).

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。

Append a learning entry to AGENTS_LEARNING.md when an AI agent makes a mistake. Auto-activates after a pre-write audit auto-fix, a retrospective correction loop, or a mid-session user correction. Use when: mistake, wrong, correction, my bad, agent error, learning log.

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。

Probe for hardcoded secrets, injection surfaces, unguarded routes, business logic flaws, and platform-specific weaknesses across backend (Node, Go, Java, Python, Rust), frontend (React, Angular, Vue), and mobile (iOS, Android, Flutter) codebases. Use when performing security audits, vulnerability scans, secrets detection, or penetration testing.

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。

Write effective code comments, READMEs, and technical documentation following intent-first principles. Use when adding comments, writing docstrings, creating READMEs, or updating any 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。

Validates bounded cybersecurity exercise observations against approved scope, expected behavior, runtime controls, and redacted evidence. Use when performing safe offline validation or authorized runtime checks with explicit stop and status gates.

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。

Define the delivery metrics contract for agent-assisted SDLC — DORA four plus per-stage indicators derived from artifact and git history, and the control bands that turn metric drift into a routed intake. Use when reporting cycle time, plan adherence, or defining response thresholds.

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。

Enforce universal mobile UX principles for touch-first interfaces including touch targets, safe areas, and mobile-specific interaction patterns. Use when building mobile screens, handling touch interactions, or validating safe area compliance.

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 motion design principles for mobile apps covering timing curves, transitions, gestures, and performance-conscious animations. Use when implementing screen transitions, gesture-driven interactions, shared-element animations, or optimizing animation frame rates on iOS, Android, or Flutter.

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。

Validates cyber exercise authorization, scope, exclusions, runtime controls, expiry, stop and restart gates. Use when planning or reviewing authorized security activity, scope drift, or unsupported execution environments.

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。

Validates defensive controls with paired authorized action and observation evidence, distinguishing blocked, prevented, detected, responded, and telemetry-gap outcomes. Use for purple-team validation design or offline fixture review; not unsanctioned testing or production efficacy claims.

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。