fabioc-aloha/Alex_Skill_Mall - 2ページ

content-safety-implementation

Azure Content Safety API integration, multi-layer defense pipeline, output validation, and operational safety controls

原文の言語: 英語

context-compression

This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve decisions, files, risks, and next actions.

原文の言語: 英語

context-degradation

This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-pattern issues, and agent performance degradation caused by accumulated or conflicting context.

原文の言語: 英語

copilot-sdk

Build applications powered by GitHub Copilot using the Copilot SDK — session management, custom tools, streaming, hooks, MCP servers, BYOK, deployment patterns

原文の言語: 英語

evaluate-plugin

Evaluate plugin quality. Use when user says "evaluate plugin", "review plugin quality", "score my plugin", "check plugin", "rate plugin".

原文の言語: 英語

foundry-agent-platform

Microsoft Foundry agent deployment, orchestration, and cloud-native AI service patterns

原文の言語: 英語

hosted-agents

This skill should be used when designing hosted or background agent infrastructure: sandboxed execution, remote coding environments, warm pools, session persistence, multiplayer collaboration, self-spawning agents, or Modal-style sandboxes.

原文の言語: 英語

llm-model-selection

Choosing the right model for the task — power vs. cost vs. speed.

原文の言語: 英語

make-skill-template

Create new Agent Skills for GitHub Copilot from prompts or by duplicating this template. Use when asked to "create a skill", "make a new skill", "scaffold a skill", or when building specialized AI capabilities with bundled resources. Generates SKILL.md files…

原文の言語: 英語

mcp-builder

Build MCP servers for LLM tool integration — Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK)

原文の言語: 英語

mcp-development

Domain: AI Infrastructure

原文の言語: 英語

multi-agent-architect

Design and optimize production-grade multi-agent systems with LangGraph, LangChain, and DeepAgents for complex AI workflows.

原文の言語: 英語

multi-agent-orchestration

Coordinate multiple AI agents for complex tasks — decomposition, delegation, and synthesis

原文の言語: 英語

multi-agent-patterns

This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.

原文の言語: 英語

prompt-builder

Create and validate .prompt.md files that pass brain-qa on first attempt

原文の言語: 英語

prompt-engineering

Craft effective prompts that get the best results from language models.

原文の言語: 英語

rag-architecture

Build retrieval-augmented generation systems that ground LLMs in your data.

原文の言語: 英語

sse-streaming

POST-based Server-Sent Events streaming for Azure Functions — HTTP streaming, chunked response parsing, reconnection

原文の言語: 英語

token-waste-elimination

Audit and eliminate token waste from cognitive architecture memory files -- instructions, prompts, skills, and agents

原文の言語: 英語

api-connector-builder

Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.

原文の言語: 英語

api-design

Design APIs that developers love to use.

原文の言語: 英語

architecture-audit

Comprehensive project consistency review across code, documentation, diagrams, and configuration

原文の言語: 英語

architecture-refinement

Meta-skill for maintaining and evolving Alex's cognitive architecture through deliberate documentation and pattern extraction.

原文の言語: 英語

default-fast-opt-slow

AI/LLM features default to verbose responses, causing:

原文の言語: 英語

defaults-plus-overrides

Provide sensible defaults with user-overridable configuration — reduce boilerplate without limiting flexibility

原文の言語: 英語

early-filter-optimization

Cross-domain early-filtering paradigm for reducing cognitive and computational load in data pipelines, AI context, and human attention

原文の言語: 英語

microservices-patterns

Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.

原文の言語: 英語

opt-in-workspace-writes

Extensions/tools that auto-write to user workspaces without consent:

原文の言語: 英語

saga-orchestration

Implement saga patterns for distributed transactions and cross-aggregate workflows. Use this skill when implementing distributed transactions across microservices where 2PC is unavailable, designing compensating actions for failed order workflows that span…

原文の言語: 英語

staged-transformation-pipeline

Monolithic transformations are hard to test and debug:

原文の言語: 英語

weighted-scoring-matrix

Multi-factor decisions become arbitrary without explicit weights:

原文の言語: 英語

workflow-orchestration-patterns

Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice…

原文の言語: 英語

az-cost-optimize

Analyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.

原文の言語: 英語

azure-architecture-patterns

Well-Architected Framework principles and Azure best practices

原文の言語: 英語

azure-cost-management-api

In PowerShell, inline JSON for Cost Management API causes "Unsupported Media Type" errors:

原文の言語: 英語

azure-deployment-operations

Production deployment patterns for Azure Static Web Apps, Container Apps, App Service, and infrastructure

原文の言語: 英語

azure-deployment-preflight

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…

原文の言語: 英語

azure-devops-automation

CI/CD pipelines, infrastructure as code, and deployment automation for Azure workloads

原文の言語: 英語

azure-identity-msi

Time Saved: 1-2 hours debugging identity and RBAC

原文の言語: 英語

azure-openai-patterns

Azure OpenAI API patterns for rate limiting, function calling, error handling, and token optimization

原文の言語: 英語