すべてのSkill (6,277)
🛠️ 開発・MCP コミュニティ
control-loop-extraction
Extract and analyze agent reasoning loops, step functions, and termination conditions.
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🛠️ 開発・MCP コミュニティ
component-model-analysis
Evaluate extensibility patterns, abstraction layers, and configuration approaches in frameworks.
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🛠️ 開発・MCP コミュニティ
codebase-mapping
Repository structure and dependency analysis for understanding a codebase's architecture.
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🛠️ 開発・MCP コミュニティ
architecture-synthesis
Generate a reference architecture specification from analyzed frameworks.
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🛠️ 開発・MCP コミュニティ
architectural-forensics
Master protocol for deconstructing agent frameworks to inform derivative system architecture.
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🛠️ 開発・MCP コミュニティ
antipattern-catalog
Document technical debt, anti-patterns, and patterns to avoid from analyzed frameworks.
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🛠️ 開発・MCP コミュニティ
pydanticai-docs
Use this skill for requests related to Pydantic AI framework - building agents, tools, dependencies, structured outputs, and model integrati…
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🛠️ 開発・MCP コミュニティ
technical-analysis
Technical analysis capabilities for APIs, data models, integrations, and security requirements.
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🛠️ 開発・MCP コミュニティ
functional-patterns
Functional programming patterns that promote testability, composability, and maintainability.
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🛠️ 開発・MCP コミュニティ
cqs-patterns
Command Query Separation (CQS) and CQRS patterns for .NET.
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🛠️ 開発・MCP コミュニティ
performing-orthonotone-polychoral-instrument
Guides agents through launching, playing, sculpting, and capturing performances with the Orthonotone polychoral instrument MVP.
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🛠️ 開発・MCP コミュニティ
when-verifying-quality-use-verification-quality
Comprehensive quality verification and validation through static analysis, dynamic testing, integration validation, and certification gates
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🛠️ 開発・MCP コミュニティ
when-training-neural-networks-use-flow-nexus-neural
This SOP provides a systematic workflow for training and deploying neural networks using Flow Nexus platform with distributed E2B sandboxes.
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🛠️ 開発・MCP コミュニティ
when-releasing-software-use-github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management…
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🛠️ 開発・MCP コミュニティ
when-optimizing-prompts-use-prompt-optimization-analyzer
Active diagnostic tool for analyzing prompt quality, detecting anti-patterns, identifying token waste, and providing optimization recommenda…
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🛠️ 開発・MCP コミュニティ
when-optimizing-prompts-use-prompt-architect
Comprehensive framework for analyzing, creating, and refining prompts for AI systems using evidence-based techniques
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🛠️ 開発・MCP コミュニティ
when-optimizing-agent-learning-use-reasoningbank-intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement
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🛠️ 開発・MCP コミュニティ
when-managing-multiple-repos-use-github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration.
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🛠️ 開発・MCP コミュニティ
when-developing-ml-models-use-ml-expert
Specialized ML model development, training, and deployment workflow
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🛠️ 開発・MCP コミュニティ
when-detecting-fake-code-use-theater-detection
Detects non-functional "theater" code that appears complete but doesn't actually work.
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🛠️ 開発・MCP コミュニティ
when-debugging-ml-training-use-ml-training-debugger
Debug ML training issues and optimize performance including loss divergence, overfitting, and slow convergence
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🛠️ 開発・MCP コミュニティ
when-debugging-code-use-debugging-assistant
Intelligent debugging workflow that systematically identifies symptoms, performs root cause analysis, generates fixes with explanations, val…
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🛠️ 開発・MCP コミュニティ
when-creating-slash-commands-use-slash-command-encoder
Create ergonomic slash commands for fast access to micro-skills with auto-discovery and parameter validation
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🛠️ 開発・MCP コミュニティ
when-chaining-agent-pipelines-use-stream-chain
Chain agent outputs as inputs in sequential or parallel pipelines for data flow orchestration
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