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Create specialized agents for Claude Code. Use for agent, sub-agent, subagent, autonomous, task agent, custom agent, agent definition, agent config
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Create specialized agents for Claude Code. Use for agent, sub-agent, subagent, autonomous, task agent, custom agent, agent definition, agent config
Design framework-agnostic AI agents using Oracle's Open Agent Specification for portable, interoperable agentic systems with JSON/YAML definitions
Build production agentic applications on OCI using Oracle Agent Development Kit with multi-agent orchestration, function tools, and enterprise patterns
Extended reference material for Oracle AI architecture with deep technical implementations
Claude Skill用SKILL.md生成AIエージェント。アーキタイプ駆動設計により、 勝利条件から逆算した高品質プロンプトを生成する。 **Trigger:** 以下のいずれかで起動 - 「〇〇用のスキル/プロンプトを作成」 - 「このプロンプ...
Generate a warm, friendly greeting message for a person. Use when the user asks for a greeting or wants to be welcomed.
Vercel AI SDK 5 patterns. Trigger: When building AI chat features - breaking changes from v4.
Analyze a Claude Code session and suggest configuration improvements. Use when reviewing a completed session to identify opportunities for permissions, memory/rules, skills, agents, or hooks improvements. Trigg...
Load the full content of a previous Claude Code conversation into current context. Use when user asks to "load conversation " or "show me conversation " or references loading/viewing a past conversation by its...
MixSeekのプロンプトビルダー設定ファイル(prompt_builder.toml)を生成します。「プロンプトを設定」「プロンプトビルダーを作成」「ラウンド別プロンプト」といった依頼で使用してください。
Search indexed conversation history to find past conversations, locate when topics were discussed, or identify which project conversations occurred in. Use when user asks questions like "when did we discuss X?"...
MixSeek-Coreで利用可能なLLMモデルの一覧を表示します。「使えるモデル」「モデル一覧」「どのモデルがある」「モデルを取得」「APIからモデル」といった依頼で使用してください。API経由でプロバイダー別のモデル情報を動的...
FEP Octave M1: 知覚モジュール (I-E-F)。状況・文脈を即時認識し、意味を推論する。 Use when: 新規メッセージ受信時、文脈が不明確な時、「これは何?」質問時、セッション開始時。 Use when NOT: 既に状況把握済みで行動決...
日本語の曖昧な要件をClaude 4.5向け最適プロンプトに変換する自動化エージェント。 アーキタイプ駆動設計(Precision + Speed)で、8秒以内に実行可能なプロンプトを生成。
Perform basic arithmetic operations (addition, subtraction, multiplication, division). Use when the user asks to calculate or solve math problems.
Convert between different units of measurement for temperature, distance, weight, and volume. Use when the user asks to convert units or measurements.
Use for autonomous WORKER mode execution - selects highest priority FAILING item with ralph_loop.enabled=true, reads PRD context, implements with iteration tracking, records attempts, commits on success or reve...
Executes infrastructure tasks including builds, deployments, configs, and cluster operations, following acceptance criteria and committing changes
Run plan-forge CLI directly to generate development plans. Use when user asks to run plan-forge, generate a plan via CLI, or needs to use plan-forge commands directly (not via MCP). Covers new plans, resume, fe...
Handle failures and errors during workflow. Use when build breaks, tests fail unexpectedly, or agent gets stuck. Semi-automatic recovery with user confirmation for destructive actions.
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
Create .agent/baseline.md and later compare against it. Use when capturing baseline build/lint/test results or investigating newly introduced findings.
Validate AgnosticV catalog configurations against best practices and deployment requirements
Manifest verification runner. Spawns parallel verifiers for Global Invariants and Acceptance Criteria. Called by /do, not directly by users.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.