「dependencies」の検索結果

Use for module boundaries and dependencies. Triggers: circular import, coupling, barrel, re-export, validation placement, 모듈 경계, 순환 참조.

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。

Convert Claude Code plugins into generic, platform-agnostic format. Supports full conversion (skills, agents, hooks), flatten mode (skills only — agents converted to skills, hooks absorbed), or nested mode (agents nested as pure markdown within parent skills, hooks absorbed). Full mode supports per-group or unified output layouts — unified merges all groups into a single directory organized by component type. Strips Claude Code-specific implementation details to produce clean markdown files preserving only the intent and instructions. Use when asked to "make this portable", "convert to generic format", "export plugin", "create universal skills", "strip platform dependencies", "make harness-agnostic", "decouple from Claude Code", "flatten to skills only", "nest agents in skills", or when the user wants their plugin content usable outside Claude Code. Also use when the user wants to share skills with teams using different agent frameworks.

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。

Transform SDD tasks into test-first TDD task pairs. Reads existing tasks from /create-tasks and generates paired test tasks with RED-GREEN dependencies. Use when user says "create tdd tasks", "add tdd pairs", "convert to tdd", or wants to apply test-first ordering to SDD tasks.

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 when working with Rust code, reviewing Rust code, managing Rust dependencies, creating Rust projects, or fixing Rust compilation errors. It provides strict coding standards (especially FAIL FAST error handling), workspace architecture guidance, dependency management automation, and common Rust patterns.

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。

Automated brownfield codebase analysis with weighted keyword scoring, three-stream analysis, and design pattern recognition. Detects project type, frameworks, dependencies, architecture patterns, and generates comprehensive project profile.

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。

Creates structured plans from requirements. Generates comprehensive plans with steps, dependencies, risks, and success criteria. Coordinates with specialist agents for planning input and validates plan completeness. Uses template-renderer for formatted output.

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 code vulnerability analysis and dependency scanning using Gemini CLI security extension patterns. Detects hardcoded secrets, injection attacks, weak cryptography, authentication flaws, and LLM prompt injection. Also scans dependencies against the OSV.dev vulnerability database.

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。

Deeply analyzes Agent Studio framework structural health: catching phantom require() references, wrong module depth paths, missing skill/agent dependencies, bloated configurations, archived references in active code, stale catalog counts, and empty tool/skill directories.

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。

Analyzes project dependencies, detects outdated packages, identifies breaking changes, and suggests safe update strategies. Helps maintain dependency health and security.

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。

Rules pertaining to Composer dependency management, promoting best practices for declaring and updating dependencies.

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。

Structural code graph queries via CodeGraphContext MCP (tree-sitter + KuzuDB). Find callers, callees, class hierarchies, dead code, and module dependencies.

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。

Specifies best practices, including following RESTful API design principles, implementing responsive design, using Zod for data validation, and regularly updating dependencies. This skill promotes modern coding standards and helps developers write consistent, maintainable code.

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。

Check voice message pipeline config — verify Whisper, ElevenLabs/OpenAI TTS keys and dependencies.

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。

Guide for creating WaveEnv narrowings in Wave Terminal. Use when writing a named subset type of WaveEnv for a component tree, documenting environmental dependencies, or enabling mock environments for preview/test server usage.

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 EZ_math_model runs in multi or hybrid mode and has two or more independent subtasks that can be assigned to subagents without shared files, shared state, or dataflow dependencies.

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。

Git-native issue tracking (beads), coding guidelines, knowledge injection, and spec-driven planning for AI agents. Drop-in replacement for bd/Beads with simpler architecture. Use for: tracking issues/beads with dependencies, creating bugs/features/tasks, planning specs, implementing features from specs, code reviews, committing code, creating PRs, loading coding guidelines (TypeScript, Python, TDD, golden testing, Convex, monorepo patterns), code cleanup, research briefs, architecture docs, agent handoffs, and checking out third-party library source code. Invoke when user mentions: tbd, beads, bd, shortcuts, issues, bugs, tasks, features, epics, todo, tracking, specs, planning, implementation, validation, guidelines, templates, commit, PR, pull request, code review, testing, TDD, test-driven, golden testing, snapshot testing, TypeScript, Python, Convex, monorepo, cleanup, dead code, refactor, handoff, research, architecture, labels, search, checkout library, source code review, or any workflow shortcut.

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。

Curate tests then decompose dependencies

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。

Produce a visible, evidence-backed privacy and security report for a local iOS app by scanning permission declarations, network code, dependencies, persistence, and risky APIs, while complementing the official Claude Code security-guidance plugin. Use after implementation, in a live security lane, or before claiming that an app is offline and account-free.

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 polished local launch page in twelve minutes from a frozen app brief and design handoff, including a playable micro-demo, responsive copy, privacy proof, and zero remote dependencies. Use for the parallel marketing lane of a live iOS build, a fallback landing page, or a fast product teaser that must run offline.

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。

Optimize Docker build times using layer caching, multi-stage builds, BuildKit features, and dependency-first copy patterns. Applicable to R, Node.js, and Python projects. Use when Docker builds are slow due to repeated package installations, when rebuilds reinstall all dependencies on every code change, when image sizes are unnecessarily large, or when CI/CD pipeline builds are a bottleneck.

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 a complete EU/DACH relocation timeline with dependency mapping between bureaucratic steps, deadline tracking, and country-specific procedure identification. Use when planning a move between EU/DACH countries, relocating from a non-EU country to an EU/DACH destination, coordinating employment-based relocation with employer HR, managing a relocation with tight deadlines, or when needing a single document that maps the entire relocation process end-to-end.

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。

Orchestrate end-to-end machine learning pipelines using Prefect or Airflow with DAG construction, task dependencies, retry logic, scheduling, monitoring, and integration with MLflow, DVC, and feature stores for production ML workflows. Use when automating multi-step ML workflows from data ingestion to deployment, scheduling periodic model retraining, coordinating distributed training tasks, or managing retry logic and failure recovery across pipeline stages.

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。

Install and configure the putior R package for workflow visualization. Covers CRAN and GitHub installation, optional dependencies (mcptools, ellmer, shiny, shinyAce, logger, plumber2), and verification of the complete annotation-to-diagram pipeline. Use when setting up putior for the first time, preparing a machine for workflow visualization tasks, when a downstream skill requires putior to be installed, or restoring an environment after an R version upgrade or renv wipe.

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 an arbitrary codebase to auto-detect workflows, data pipelines, and file dependencies using putior's put_auto() engine. Produces an annotation plan that maps detected I/O patterns to source files across 30+ supported languages with 902 auto-detection patterns. Use when onboarding onto an unfamiliar codebase to understand data flow, starting putior integration in a project without existing annotations, auditing a project's data pipeline before documentation, or preparing an annotation plan before running annotate-source-files.

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。