「rag」の検索結果

Azure Key Vault SDK for Python. Use for secrets, keys, and certificates management with secure storage.

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。

Deploy web apps with backend APIs, database, and file storage. Use when the user asks to deploy or publish a website or web app and wants a public URL. Uses HTTP API via curl.

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 and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

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 production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.

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。

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt ...

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。

Collect this machine's local Claude Code conversation data with the asz collector. Resolves the local Claude data directory (honouring CLAUDE_CONFIG_DIR and XDG_CONFIG_HOME), builds the binary, lists what is discoverable, and lands everything into the storage root. Use when asked to collect, backfill, re-collect, or inspect local Claude Code sessions, or to check what the collector can see.

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。

Review FriendlyBet privacy, RLS security, auth, recovery codes, session storage, data minimization, public snapshots, share surfaces, legal/gambling wording, real-money risk, and compliance-sensitive product changes. Use when a task changes data access, user identity, public sharing, money-like language, security posture, or legal risk.

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 sequencing and cross-layer readiness before phase slicing, including coverage and consistency hard 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。

Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E 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。

Systematic methodology for verifying that IA, BE, and FE specification layers are mutually consistent. Covers coverage matrices, field mapping checks, error code propagation, access control consistency, and data contract drift detection.

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。

Leverage concurrent terminal background processes to debug multiple independent failures simultaneously using ACH methodology. Use when you have 2+ failures across different subsystems.

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 when changing persisted local data, storage keys, caches, or any offline/sync 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。

Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.

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 an agent, harness, gateway, MCP workflow, or multi-step automation claims completion and the available traces, checkpoints, approvals, tool calls, or deployment records must be judged without

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。

Multi-tiered memory management (HOT/WARM/COLD) for context compaction. Invoke ONLY for explicit compaction events: post-`/compact` cleanup, MEMORY.md tier promotion, archive batch, or "trim my context". NOT for general recall (use deep-recall) or routine memory writes (use storage-router). Triggers: "compact memory", "promote to durable", "archive old context", "tier this".

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。

Decide where to save any piece of information — monday.com, local file, daily notes, or MEMORY.md. Use this skill before saving anything to ensure the right destination. Prevents local clutter and ensures the owner can access all relevant content in monday.com.

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 Deepsource — deepSource code analysis management. Covers automated code reviews, issue detection, antipattern analysis, coverage tracking, and analyzer configuration. Use when managing DeepSource projects, reviewing detected issues, configuring analyzers, or tracking code health metrics.

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 Cucumber — cucumber BDD testing management and analysis. Covers feature file organization, step definition mapping, scenario tagging, Gherkin syntax validation, test report parsing, and step reuse analysis. Use when managing Cucumber test suites, investigating BDD scenario failures, or reviewing feature file coverage.

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 Coolify — coolify self-hosted PaaS management covering application inventory, service status, deployment history, server resource utilization, database instances, S3 storage configurations, webhook settings, and team management. Use for managing Coolify-based infrastructure.

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 Codeowners — cODEOWNERS file management covering ownership mapping analysis, coverage gap detection, team assignment validation, orphaned path identification, and review requirement auditing. Use when auditing code ownership across repositories, identifying unowned code paths, validating team configurations, or optimizing pull request review workflows.

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 Confluence Deep — deep Confluence management covering spaces, pages, content analytics, permissions, and workspace health. Use when performing deep audits of Confluence usage, analyzing content freshness, reviewing space permissions, or assessing documentation coverage across an Atlassian Confluence instance.

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 Box — box cloud content management platform covering files, folders, users, collaborations, metadata, and usage analytics. Use when monitoring storage usage, analyzing file activity, reviewing collaboration health, managing Box users and permissions, or troubleshooting content sharing 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 Codacy — codacy code quality management. Covers automated code reviews, pattern configuration, coverage tracking, security analysis, and repository settings. Use when managing Codacy projects, reviewing code patterns, configuring quality gates, or tracking code quality trends.

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 Appwrite — appwrite backend platform management covering project inventory, database collections, user authentication stats, storage bucket usage, function deployments, webhook configuration, and platform health. Use for comprehensive Appwrite project assessment and resource monitoring.

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。