Check for license compliance, PII, and IP risks

Create a draft pull request for the current branch. Summarises the diff, fills in any PR templates, and opens the PR via the gh CLI.

Proofreads a blog post for clarity, balance, and general quality. Use when asked to proofread, review, or critique a blog post or article.

Open a PR, wait for CI to pass, fix failures, address review comments, and loop until fully green. Use when opening a PR, fixing CI, or addressing review feedback.

Multi-agent iterative development with parallel testing and code review. Use for building features, implementing changes, or coding tasks that need testing and review.

Generate SVG logo alternatives with side-by-side comparison. Use when creating logos, branding, or project icons.

Clean up merged and stale git branches, prune old local and remote branches safely. Use for cleaning up old branches or pruning stale remotes.

Run a structured retrospective or post-incident review with optional knowledge base capture. Use for running retrospectives, postmortems, or incident reviews.

Analyze codebase for code smells and refactor to drastically improve code quality. Expert in clean code, SOLID principles, Ruby patterns, service objects, and refactoring. Use for code quality audits, refactoring sessions, and cleaning up technical debt.

Code review panel for current branch changes. Use for reviewing PR changes, code review, or getting feedback on branch changes.

Create a versioned release with changelog generation, git tag, and GitHub release. Use for creating releases, tagging versions, or publishing changelogs.

Re-review with fresh eyes. Zero regressions. Go slow and analyze everything. Use for a paranoid final review before merging.

Conduct high-quality, persona-driven code reviews. Use when reviewing PRs, critiquing code quality, or analyzing changes for team feedback.

Implements advanced AI patterns like Reflection, ReAct, Planning, and Tool Use.

Survey recent work on this branch. Analyze commits, diffs, and code quality. Create beads for any deficiencies found.

SOLID principles for object-oriented design. Use when designing classes, interfaces, or refactoring code to improve maintainability.

Freeze each tool result ID's replacement fate after it is observed so budget decisions stay deterministic across turns and forks.

Merge one or more GitHub pull requests, especially when the user wants to merge multiple PRs in one batch. Use when Claude needs to inspect PR relationships, squash-merge by default, retry with --admin only when GitHub requires it, resolve conflicts against main or another base branch, and retarget or refresh dependent open PRs after earlier merges.

Perform static application security testing with tools like Semgrep, CodeQL, and SonarQube. Identify security vulnerabilities in source code before deployment. Use when implementing secure SDLC, code review automation, or security gates in CI/CD pipelines.

Use when asked to add or modify hooks for Claude Code specifically. Or, if the user is asking to automate an action, for example run a formatter after edits, or running a script right before git commits, those are hooks and you should use this skill to implement them.

Review tax returns, identify missed deductions, and suggest strategies to reduce tax liability.

Durable software engineering agent for reusable code and artifacts.

Improve mobile web apps to feel native by auditing and fixing common mobile UX issues (input zooming, tap highlights, touch delays, overscroll bounce, accidental horizontal scroll, text selection, zoom behavior, viewport units/address bar issues, safe-area padding, CLS, loading feel, caching/optimistic UI, scroll traps like maps, touch target sizing). Use when asked to review, diagnose, or polish mobile web UX or interaction performance.

Autonomous optimization loop that improves any measurable thing. Point it at files to change, a command to check, and a number to improve — then walk away. Works with any AI agent. Use when the user wants to autonomously optimize code performance, ML training, Docker images, SQL queries, prompts, CI speed, bundle size, Kubernetes configs, or any domain with a measurable score. Triggers include requests like 'optimize this', 'improve performance', 'make this faster', 'reduce allocations', 'autoimprove', 'run the optimization loop', 'let it run overnight', or when the user has an improve.md file.

grill-me-coding

Address actionable GitHub pull request review feedback. Use when the user wants to inspect unresolved review threads, requested changes, or inline review comments on a PR, then implement selected fixes. Use the GitHub app for PR metadata and flat comment reads, and use the bundled GraphQL script via `gh` whenever thread-level state, resolution status, or inline review context matters.

Generate a code review with atomic views and remediation requirements for the current branch vs a base branch. Use this skill when the user wants a code review, branch review, diff review, change analysis, pre-merge review, or quality pass on their current work. Also use when the user asks to understand what changed on a branch, wants a narrative explanation of their changes, or needs a review document before merging.

> CI/CD pipeline analysis, deployment strategy design, and environment management. From commit to production with confidence.

Express shell-command safety as declarative flag maps so tooling knows exactly what passes.

> Organizations that conduct blameless post-incident reviews after every significant security

Deploy ServiceNow configuration changes safely — either via Update Sets (classic instances) or now-sdk install (Fluent SDK projects). Covers Update Set naming, parent/child batching, preview validation, and SDK build/install workflows. Use when managing releases, migrating between instances, promoting changes from dev to test to prod, or orchestrating complex deployments with multiple Update Sets. Trigger this skill whenever the user mentions deployment, Update Sets, moving changes between environments, release management, or now-sdk install.

Gate plan mode entry with permission updates so complex tasks run in a controlled, reviewable state.

Analyze PRs authored by the current user across all tracked repos, extract human reviewer feedback, identify improvement patterns, and produce an HTML report.

Ask AI's opinion on code - identify improvements, code smells, anti-patterns, and quality issues. Suggest fixes in structured format with Problem/Solution/Why triplets. Read-only, makes no changes.

Audit AI-generated or AI-shaped backend/general code diffs for duplicate helpers, over-defensive control flow, broad exception wrappers, speculative scaffolding, comment/docstring boilerplate, local style drift, hallucinated APIs/dependencies, fixture-shaped test hacks, and obvious safety/performance gaps. Use when reviewing or safely cleaning up Python, TypeScript, or other implementation code after a feature, bugfix, or prototype pass.

Wrap up current work: review + test + gates + commit in one operation. Use when user says 'ship', 'ship it', 'wrap up', 'done', 'finish', 'готово', 'отправляй', 'заверши', 'закрывай'.

Systematic review of existing architecture using ATAM-lite methodology. Evaluates architectural fitness against quality attribute scenarios, identifies risks, sensitivity points, tradeoffs, and anti-patterns. Produces structured review report with findings and recommendations.

Scaffolds a new custom Tool class for the Agent Development Kit (ADK).

Surface hook-provided startup context by packaging it as metadata attachments before the agent's first request.

Code review for Jujutsu (jj) revision ranges. Uses the same rubric as the `code-review` skill — any changes to that rubric are automatically picked up here.

Analyze conversation history, find gaps and drift in AGENTS/CLAUDE instructions and skills, propose and apply targeted improvements.

Repository management through Git CLI and GitHub API with branch protection, commit conventions, and security controls

Ensures .NET/C# code follows modern best practices, SOLID principles, and industry standards for production-ready applications

Use when the user asks to implement a plan end-to-end, test it, run codex review against the base branch in a loop until no P0/P1 issues remain, and make sure CI/CD is green before finishing.

Monitor pipeline agent health, task update buffers, and live agent state. Use when checking agent health, investigating task progress, querying pipeline agents for diagnostic state, or reviewing historical health trends. Covers query_agent_health, query_health_history, query_buffer, and query_pipeline_state skills.

Use when creating, reviewing, or migrating telemetry pipelines that collect, transform, route, buffer, validate, and deliver logs, metrics, traces, events, or profiles across tool-agnostic observability systems.

> Deep soundness analysis of specs and plans. Auto-fixes inferrable issues, surfaces design decisions to you. Runs automatically before sign-off.

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Verify academic paper references — automated ground truth check + live arXiv verification + multi-agent cross-review protocol.

Retry Git bundle creation across decreasing scopes (all, HEAD, squashed) to stay under upload size limits while keeping relevant history.