Instructions file GitHub Copilot
Python coding conventions and guidelines.
Instructions file GitHub Copilot
Python coding conventions and guidelines.
Instructions file GitHub Copilot
Security best practices based on OWASP Top 10.
Instructions file GitHub Copilot
Shell scripting best practices and conventions for bash, sh, zsh.
Instructions file GitHub Copilot
Stored procedure development patterns, parameter handling, and transaction management.
Instructions file GitHub Copilot
SQL Server coding conventions and guidelines.
Instructions file GitHub Copilot
Streamlit development standards for dashboards and applications.
Instructions file GitHub Copilot
Response discipline — eliminate token-wasteful AI habits: preamble, summaries, narration, filler. Keep responses dense and direct.
Instructions file GitHub Copilot
Testing guidelines for applications using pytest.
Instructions file GitHub Copilot
Validation discipline — rules for fact-checking, git status verification, and absence confirmation to prevent false positive/negative verdicts.
Skill Claude CodeCodex
AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.
Skill Claude CodeCodex
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically.…
Skill Claude CodeCodex
This skill provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security assessment.
MCP server Claude CodeCodexCursor
Agentic pipeline orchestration MCP server — manage pipeline state, modes, and supervision gates for AI-driven software development workflows. Runs locally from the junai-mcp Python package. Needs 2 environment variables to run.