A comprehensive style guide and ruleset specifically designed for AI code generation tools working with OpenStack Python projects.
SeanMooney/openstack-ai-style-guide
Agent
Use this agent when you need to identify and analyze dead code, unused dependencies, code duplication, or refactoring opportunities in your codebase. Specifically invoke this agent when: 1. Targeted Dead Code Review: When you want to verify if a specific module, function, class, or other construct is actually used in…
SeanMooney/openstack-ai-style-guide
Agent
Produces candidate findings for the teim-review pipeline. This agent is invoked by teim-review-agent during OpenStack code review and performs only the initial review pass over supplied context and changed code.
SeanMooney/openstack-ai-style-guide
Agent
Extracts and summarizes git commit information for code review preparation. Invoked when reviewing proposed changes, analyzing commits, or preparing code review context. Creates structured summaries including file trees, metadata, and change rationale following OpenStack commit conventions.
SeanMooney/openstack-ai-style-guide
Agent
Convert documentation into optimized markdown with source citations. Use when you need to transform any documentation (HTML, PDF, web pages) into clean, AI-friendly markdown format that preserves structure and maintains traceability to original sources.
SeanMooney/openstack-ai-style-guide
Agent
Validates candidate findings for the teim-review pipeline. This agent is invoked once by teim-review-agent after candidate finding generation.
SeanMooney/openstack-ai-style-guide
Agent
Extracts and condenses project-specific coding guidelines from in-repo documentation and linter configuration to prepare a concise context file for the code review agent. Reads HACKING.rst, AGENTS.md, CLAUDE.md, linter config files (tox.ini, pyproject.toml, ruff.toml, etc.), and optional review knowledge overlays from…
SeanMooney/openstack-ai-style-guide
Agent
Use this agent when you need comprehensive security analysis of code changes, vulnerability assessment of existing codebases, or security compliance review. Examples: Context: The user has just implemented a new authentication system and wants to ensure it follows security best practices. user: 'I've just finished…
SeanMooney/openstack-ai-style-guide
Agent
Orchestrates the model-reasoning portion of the OpenStack teim-review pipeline. Use this agent after deterministic tooling has prepared review context artifacts, or in an interactive local run where those artifacts can be generated first by the shared deterministic tools.
SeanMooney/openstack-ai-style-guide
Agent
Extracts execution context from Zuul CI inventory files to prepare environment information for code review and analysis. Identifies change context, repository locations, working directories, and log output paths. Invoked when analyzing Zuul CI job results or preparing review context from CI environments.