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Found 582 Skills
Review AI-generated code changes before committing using GitHuman. Use when reviewing code changes, creating code reviews, checking what the AI agent wrote, preparing to commit, or when user mentions "review", "GitHuman", or "before commit".
GitHub best practices for pull requests, code reviews, issues, Actions workflows, and repository management
Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', or reviewing a small diff you don't trust.
Looks up Fusion Design Guidelines and applies them to any frontend code in the Fusion ecosystem. USE FOR: layout, spacing, component usage, interaction patterns, any UI implementation decision. DO NOT USE FOR: backend changes, CI/CD, skill authoring, data layer logic.
Use when you need durable, repo-specific context (architecture, domain model, how a flow works, standards, gotchas, decisions) before engineering or reviewing, or when you have learned something worth recording. Reads and writes an in-repo Obsidian knowledge base (docs/<repo>-vault/), synced by git.
Security vulnerability expert covering OWASP Top 10 and common security issues. Use when conducting security audits or reviewing code for vulnerabilities.
PASS, FLAG, and BLOCK review discipline for workflow review, QA verification, release checks, and issue closeout.
Explore any codebase from scratch and generate six quality artifacts: a quality constitution (QUALITY.md), spec-traced functional tests, a code review protocol, an integration testing protocol, a multi-model spec audit (Council of Three), and an AI bootstrap file (AGENTS.md). Works with any language (Python, Java, Scala, TypeScript, Go, Rust, etc.). Use this skill whenever the user asks to set up a quality playbook, generate functional tests from specifications, create a quality constitution, build testing protocols, audit code against specs, or establish a repeatable quality system for a project. Also trigger when the user mentions 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', 'coverage theater', or wants to go beyond basic test generation to build a full quality system grounded in their actual codebase.
Runs the full validator workflow after coding tasks for requests such as "run the validator", "run final verification", "validate before commit", or "run validation". Executes checks and reviews before commit, push, or PR creation.
Reviews Go test code for proper table-driven tests, assertions, and coverage patterns. Use when reviewing *_test.go files.
Evaluate verified findings from merge-ready, Greptile, pull-request, CI, security, billing, and other code reviews, then promote durable review gaps into the version-controlled .greptile configuration. Use when a review uncovers a recurring or high-risk repository invariant that Greptile does not capture, when Greptile repeatedly produces a false positive, or when asked to audit or update OpenSEO's Greptile rules and context.
Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code generation. Also use when user explicitly requests Gemini operations.