「ida」の検索結果

Consult the Eldar — audit a project's moflo + Claude Code setup for portable, high-leverage gaps and guide remediation. Default mode is read-only audit with severity-ranked findings; --fix presents an interactive triage menu and walks the user through each chosen fix (healer, missing CLAUDE.md, sparse guidance, hook/MCP wiring, empty memory namespaces, stack→guidance gaps). Use when starting in a new project, when Claude feels lost or inefficient, when guidance/CLAUDE.md is sparse, or as a periodic health check.

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。

Performs comprehensive preflight validation of Bicep deployments to Azure, including template syntax validation, what-if analysis, and permission checks. Use this skill before any deployment to Azure to preview changes, identify potential issues, and ensure the deployment will succeed. Activate when users mention deploying to Azure, validating Bicep files, checking deployment permissions, previewing infrastructure changes, running what-if, or preparing for azd provision.

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。

Proactive monitoring of Aave V3 borrow positions with liquidation alerts. Queries user collateral, debt, and health factor across chains (Ethereum, Polygon, Arbitrum, etc.). Sends urgent alerts to Telegram/Discord/Slack when health factor drops below configurable thresholds (critical at 1.05, warning at 1.2). Use when you need continuous monitoring of Aave positions, want alerts before liquidation risk occurs, or need periodic summaries of your borrowing health.

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。

Validate a business idea using the minimalist entrepreneur framework before building anything. Use to test if an idea is worth pursuing through manual validation and customer feedback.

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。

Validate Azure deployments against functional, security, performance, and operational criteria before production release. Use this skill when users ask for readiness checks, health verification, or production sign-off gates. Covers Well-Architected Framework validation, SLA verification, and release readiness.

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。

Redacta y crea un issue de GitHub rellenando la plantilla adecuada de .github/ISSUE_TEMPLATE/ según el tipo (bug, funcionalidad o tarea). Úsalo cuando la persona pida abrir/crear un issue, reportar un bug o registrar una tarea/petición (p. ej. "abre un issue por este bug", "crea un issue para la nueva funcionalidad", "registra esta tarea"). No cierra ni comenta issues existentes.

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 la identidad visual de un producto — propone dos o tres direcciones de color y tipografía justificadas por lo que el producto es, las escribe en design/tokens.css y las deja listas para verlas aplicadas en preview.html antes de decidir. Úsalo tras definir el producto y ANTES de prototipar (p. ej. "define la identidad", "qué paleta usamos", "elige los colores del producto"). No construye vistas.

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。

Verifica la paridad de internacionalización — que cada clave de traducción exista en todos los idiomas y que no haya cadenas visibles para la persona usuaria codificadas de forma fija — siguiendo las convenciones de i18n del proyecto. Úsalo cuando la persona pida revisar las traducciones, verificar la paridad entre idiomas, encontrar cadenas faltantes/codificadas o auditar la i18n (p. ej. "revisa la i18n", "¿están todos los idiomas sincronizados?").

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。

Large-scale data migrations with validation, rollback, and zero-downtime strategies. Activate on: data migration, database migration, zero-downtime migration, dual-write, backfill, cutover, data validation, schema migration. NOT for: schema evolution in streams (use schema-evolution-manager), API versioning (use api-versioning-backward-compatibility).

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。

Architect data fetching with TanStack Query v5, SWR, optimistic updates, prefetching, and cache invalidation strategies. Activate on: React Query, SWR, optimistic updates, cache invalidation, prefetching, stale-while-revalidate, infinite queries. NOT for: REST API design (use api-architect), database queries (use database skills), GraphQL schema (use graphql-expert).

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。

Builds, validates, schedules, and dynamically modifies DAG execution graphs. Decomposes problems into nodes with dependencies, performs topological sorting, detects cycles, resolves conflicts, and schedules wave-based parallel execution. Use when designing a DAG structure, validating dependencies, planning execution order, or modifying a DAG at runtime. Activate on "build DAG", "plan workflow", "DAG dependencies", "topological sort", "schedule execution", "modify DAG", "replan". NOT for executing DAGs (use dag-runtime), validating outputs (use dag-quality), or matching skills to nodes (use dag-skills-matcher).

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 agent outputs against schemas and quality criteria, scores confidence, detects hallucinations, monitors convergence, decides when to iterate, and synthesizes actionable feedback. Use when checking if a node's output is acceptable, scoring confidence, detecting fabricated content, deciding whether to re-execute, or generating improvement feedback. Activate on "validate output", "check quality", "confidence score", "hallucination check", "should we iterate", "improvement feedback". NOT for executing DAGs (use dag-runtime), planning DAGs (use dag-planner), or matching skills (use dag-skills-matcher).

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 multi-tier caching architectures for web applications — cache-aside vs write-through vs write-behind, TTL design, cache invalidation, Redis patterns, CDN configuration, browser caching, and stampede prevention. Use when choosing a caching pattern, designing cache invalidation strategies, implementing Redis caching, configuring Cache-Control headers, or preventing cache stampedes. Activate on "cache invalidation", "cache-aside", "write-through", "TTL", "Redis cache", "CDN caching", "cache stampede", "stale data", "browser cache". NOT for database query caching within an ORM, memoization of pure functions, or CPU-level caching.

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。

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

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。

Reads, validates, and prepares CDISC SDTM and ADaM clinical trial data for analysis. Covers SDTM domain joins (DM, AE, EX, VS, LB, DS), ADaM architecture (ADSL, BDS, OCCDS, ADTTE) with traceability, treatment-emergent AE conventions, baseline derivation, SUPPQUAL/NSV handling, Define-XML 2.1, and Pinnacle 21 / CORE validation. Use when working with clinical trial datasets in CDISC SDTM/ADaM format, preparing analysis-ready data, or validating for regulatory submission.

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 database models with clear naming, appropriate data types, constraints, relationships, and validation at multiple layers. Use this skill when creating or modifying database model files, ORM classes, schema definitions, or data model relationships. Apply when working with model files (e.g., models.py, models/, ActiveRecord classes, Prisma schema, Sequelize models), defining table structures, setting up foreign keys and relationships, configuring cascade behaviors, implementing model validations, adding timestamps, or working with database constraints (NOT NULL, UNIQUE, foreign keys). Use for any task involving data integrity enforcement, relationship definitions, or model-level data validation.

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。

Treats a ctDNA assay as a molecule-counting experiment at the Poisson edge and builds its analytical-validation case the measurement-science way. Covers the genome-equivalent currency (~330 haploid copies/ng), the lambda = input_GE x VAF sampling ceiling (lambda>=3 for ~95% detection), the error-suppression ladder (raw NGS ~1e-3 -> single-strand UMI ~1e-4/1e-5 -> duplex <1e-7), the CLSI EP17 LoB/LoD/LoD95/LoQ framework, the per-locus-vs-panel-integrated LoD distinction that lets bespoke MRD reach ppm, contrived/SEQC2 reference standards, and honest LoD reporting conditioned on input mass + consensus depth + replicate detection rate. Use when stating or trusting a sensitivity claim, designing a dilution-series validation, deciding how many genome equivalents are needed at a target VAF, choosing a single-locus vs panel-integrated LoD, or auditing a "detects 0.1% VAF" 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。

Suggests repeat transsphenoidal surgery for patients with persistent hypercortisolism after initial transsphenoidal surgery when imaging shows evidence of incomplete resection or a pituitary lesion. Clinical triggers include postoperative MRI revealing residual adenoma, persistent elevated UFC or late-night salivary cortisol, and visible pituitary lesion on imaging.

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 suggests pituitary-directed medical treatments (e.g., cabergoline, pasireotide) for patients with Cushing's disease who are not surgical candidates or have persistent disease after transsphenoidal surgery. Use when a CD patient cannot undergo surgery or has residual disease post-TSS; triggers include "not a surgical candidate", "persistent disease after TSS", "ongoing hypercortisolism despite prior surgery".

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。

REST/GraphQL API testing with automated validation — test endpoints, validate responses, check status codes, and ensure API contracts

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。

When writing validation — Form Requests, rules, custom rule objects, request-boundary design — even when the user just says 'validate this input' or 'check the request' without naming 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。

Auditar e melhorar a acessibilidade web seguindo as diretrizes WCAG 2.1. Use quando solicitado para "melhorar acessibilidade", "auditoria a11y", "conformidade WCAG", "suporte a leitor de tela", "navegação por teclado" ou "tornar acessível".

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。

Mecanismo de busca de similaridade vetorial de alto desempenho para RAG e busca semântica. Use ao construir sistemas RAG em produção que exigem busca de vizinhos mais próximos rápida, busca híbrida com filtragem ou armazenamento vetorial escalável com desempenho impulsionado por Rust.

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。

Framework para embeddings de última geração em sentenças, textos e imagens. Oferece 5000+ modelos pré-treinados para similaridade semântica, clustering e retrieval. Suporta modelos multilíngues, específicos de domínio e multimodais. Use para gerar embeddings para RAG, busca semântica ou tarefas de similaridade. Melhor para geração de embeddings em produção.

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。