harness-mcp
Harness MCP (Model Context Protocol) server integration for AI-powered CD operations, pipeline management, Git repositories, pull requests, code review comments, and bidirectional Jira synchronization
Skills matching the name, description or GitHub author.
Harness MCP (Model Context Protocol) server integration for AI-powered CD operations, pipeline management, Git repositories, pull requests, code review comments, and bidirectional Jira synchronization
Comprehensive knowledge for creating, managing, and merging pull requests with Jira integration, following best practices for code review, deployment, and team collaboration
Comprehensive code review knowledge including security, performance, accessibility, and quality standards across multiple languages and frameworks
Use this agent when you need a brutally honest Rails code review from the perspective of David Heinemeier Hansson. This agent excels at identifying anti-patterns, JavaScript framework contamination in Rails cod...
This skill should be used when managing the file-based todo tracking system in the todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integratin...
Use this agent when you need to address comments on pull requests or code reviews by making the requested changes and reporting back on the resolution. This agent handles the full workflow of understanding the...
Code reviewer providing objective quality metrics, security analysis, and actionable feedback. Use for code reviews with scoring, linting, type checking, and duplication detection.
Work with Gerrit code reviews using the ger CLI tool. Use when reviewing changes, posting comments, managing patches, or interacting with Gerrit. Covers common workflows like fetching changes, viewing diffs, ad...
Domain-Driven Design system for software development. Use when designing new systems with DDD principles, refactoring existing codebases toward DDD, generating code scaffolding (entities, aggregates, repositori...
Ruthless code review for Python, Kubernetes, and AWS. Hunts for downstream problems, security issues, and unnecessary complexity. Triggers on "review", "check", "audit", "what could go wrong".
Ruthless code review for Python, Kubernetes, and AWS. Hunts for downstream problems, security issues, and unnecessary complexity. Use on 'review', 'check', 'audit', 'what could go wrong'.
Perform code reviews using OpenAI Codex CLI to identify bugs, security vulnerabilities, performance issues, and code quality problems. Use when the user asks to review code, check for issues, security audit, or...
Perform code reviews using GitHub Copilot CLI to identify bugs, security vulnerabilities, performance issues, and code quality problems. Use when the user asks to review code, check for issues, security audit,...
Ensures proper use of PAL MCP tools (thinkdeep, debug, codereview, consensus, planner) for complex tasks requiring deep analysis, multi-model collaboration, or systematic investigation. Auto-activates when: -...
Critical Code Reviewer. Focuses on security, performance (Big O), and strict typing.
Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success c...
Use when you have received code review feedback and need to process it. [DEPRECATED] Routes to code-review --feedback
Comprehensive security analysis framework teaching STRIDE threat modeling, OWASP Top 10 vulnerabilities, CVSS risk scoring, and secure coding patterns. Use when conducting security assessments, code reviews, th...
Use when receiving code review feedback, before implementing suggestions. Requires technical rigor and verification, not performative agreement or blind implementation.
External AI code review using Codex or Gemini. Reads project.yaml to determine which provider to use for frontend vs backend tasks. Includes hallucination detection to avoid blindly applying AI suggestions.
Evaluate external PR suggestions (Gemini, CodeRabbit) against project conventions. Use when asked to review or agree with external code review comments.
Use during verification phase when conducting thorough code reviews and providing constructive feedback based on universal software quality principles.
Reviews the git changes, identifies critical and high-priority issues, generates review summaries, and collects metrics data for local use. Use this when users need to code review or analyzing code changes for...
Safely merges GitHub pull requests using gh CLI. Use when the user wants to merge a PR, merge a pull request, or complete code review.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.