'PR creation workflow, title format, description template, and quality gates'

Start the multi-AI pipeline with a given request. Guides through plan -> review -> implement -> review workflow.

React 19 and Next.js 16 performance optimization for the Arcanea platform. Use when writing, reviewing, or refactoring React components, data fetching logic, bundle optimization, or any frontend performance work. Triggers on: React components, Next.js pages, hooks, data fetching, bundle size, re-renders, Server Components, Client Components, hydration. Sourced from Vercel Engineering's official React best practices (57 rules, 8 categories) and adapted for the Arcanea stack.

Use when scanning code, skills, dependencies, or configurations for security vulnerabilities, threat modeling, secrets exposure, insecure defaults, auth issues, and hardening opportunities.

Audit SoulMap AI evals so datasets, assertions, source markers, and golden responses stay source-backed, failure-oriented, and hard to game.

Start work on a new PR — review context and propose a mid-level approach

Reference for agents working with the workflow checkpoint system.

Review an entity store PR

Mandatory core-4 reviewer with P0-P3 severity classification and specialist escalation

Create a GitHub pull request from current working changes. Handles all git states - uncommitted changes, no branch, unpushed commits, etc. Analyzes diffs and changesets to generate a PR with filled-in template. Opens the PR in the browser when done. Use when the user asks to create a PR, open a PR, submit changes, or push for review.

Authoring and styling guidelines for the Opentrons /docs MkDocs project. Covers file conventions, frontmatter, page titles, header IDs, image formats, tables, code blocks, Python API reference (mkdocstrings, autorefs, macros), and CSS patterns (parts lists, screenshots, icons, instruction lists, side-by-side figures, fonts, colors). Use when writing, editing, or reviewing any file in the docs/ directory, or when the user asks about MkDocs conventions, docstrings, CSS classes, or the Python API reference.

Fix a pull request based on review feedback

Collection of project-specific skills for Contentstack CLI monorepo development. Use when working with CLI commands, testing, framework utilities, or reviewing code changes.

Create or update GitHub pull requests using gh CLI. Use when creating PRs, updating PR titles/descriptions, opening pull requests, or submitting changes for review.

Create, review, and merge GitHub pull requests using GitHub CLI and best practices. Use when the user asks to open a PR, review a PR, merge a branch, squash merge, or work with GitHub pull requests and merges.

Prepare code for review by running quality checks, creating conventional commits, and opening pull requests. Use when the user wants to commit changes, create a PR, prepare for code review, or asks to commit their work.

Applies project Git commit message conventions. Use when writing commit messages, reviewing staged changes, or when the user asks for git commit help.

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Review a feature and enhance it with purposeful animations, micro-interactions, and motion effects that improve usability and delight. Use when the user mentions adding animation, transitions, micro-interactions, motion design, hover effects, or making the UI feel more alive.

Practical guide for creating human-readable and agent-parseable diagrams using Mermaid. Includes conservative, renderer-compatible templates and when-to-use guidance.

Uses the Selora AI MCP server to inspect home state, validate/create automations, manage automation lifecycle, and handle proactive pattern/suggestion workflows. Use when users ask to analyze their home, review Selora automations, validate YAML, create/enable/delete automations, list or act on suggestions/patterns, trigger a scan, or continue Selora chat sessions.

METAINFORMANT rules for directory scripts. Use when editing, adding tests, or reviewing code under this path. Read the linked AGENTS.md first; use uv only, write outputs to output/, no mocks.

Generate a sprint review changelog from GitHub pull requests. Lists PRs by a given author since a given date, groups them into Features and Fixes, and writes a markdown summary.

Generate or review least-privilege MCP configs for this project.

Describes the sub-agent pipeline: task-decomposer breaks a task into subtasks, task-worker implements them, work-reviewer checks the result; on issues feedback goes back to the worker. Use when orchestrating multi-step work with task-decomposer, task-worker, and work-reviewer agents, or when the user asks how these agents work together.

Brand voice, visual identity, messaging frameworks, asset management, brand consistency. Activate for branded content, tone of voice, marketing assets, brand compliance, style guides.

Enforces Next.js 16 best practices for App Router, React Server Components, caching, routing, TypeScript, and performance. Use when building, reviewing, or refactoring Next.js applications, creating pages/layouts/routes, configuring next.config.ts, handling data fetching, or working with server/client components.

Serve MarkdownViewer-web-pro locally for testing. Use when the user says /localdeploy, asks to test locally, run a local server, or preview before pushing.

Translates discovery and product design artifacts into implementation-ready backend specifications. Produces API contracts (OpenAPI), schema design, auth model, and integration point specs for human r

Goal: build a skill that finds real vulnerabilities while minimizing false positives.

Verify an E2E test fix by running the test multiple times and checking code quality

Process all unaddressed PR review comments in parallel. Each comment gets a dedicated subagent that either applies the fix or replies with technical reasoning for disagreement.

Guides writing clear, well-structured technical documentation following Mintlify's best practices (Diátaxis framework, audience awareness, style/tone, navigation, SEO/AEO). Use when writing, reviewing, or improving documentation, guides, tutorials, API references, or any user-facing technical content.

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Reviews local git changes and generates a pull request summary following the project template. Use when the user asks to automate PR summary, generate PR description, fill PR template, or review local changes for a PR.

Add or modify tasks in Implementation Plan. Use when user proposes new requirements, changes priorities, or adjusts existing task scope.

'Stage files and create a conventional commit with a well-formed message.'

'Use when staging and committing code changes with conventional commit messages'

METAINFORMANT rules for directory scripts/ontology. Use when editing, adding tests, or reviewing code under this path. Read the linked AGENTS.md first; use uv only, write outputs to output/, no mocks.

METAINFORMANT rules for directory examples/templates. Use when editing, adding tests, or reviewing code under this path. Read the linked AGENTS.md first; use uv only, write outputs to output/, no mocks.

Create a GitHub Pull Request to merge the current branch into main with a well-structured title and description using GitHub CLI. Use when the user asks to create a PR, open a pull request, submit a merge request, or send changes for review.

METAINFORMANT rules for directory examples/multiomics. Use when editing, adding tests, or reviewing code under this path. Read the linked AGENTS.md first; use uv only, write outputs to output/, no mocks.

Import/export validation post-implementation. Checks that all imports resolve to actual exports, catches broken references and circular dependencies.

Security and compliance for MCPAtlas: threat model, RBAC, audit, supply chain, input validation, plugin sandbox. Use when implementing auth, hardening, or reviewing security-sensitive code.

Design product behavior and user experience with a product designer mindset. Use when shaping features, reviewing UX, improving flows, evaluating usability, clarifying copy, or making user-facing trade-off decisions.

Rosetta ad-hoc adaptive meta-workflow that constructs, tracks, reviews, and executes a tailored execution plan per user request. Use when no other specific workflow matches the request.

Autonomous PR creation from a worktree branch.

Reviews code changes with findings-first output focused on correctness, security, regression risk, and test gaps. Use when reviewing diffs, commits, pull requests, or when the user asks for a code review.

Evaluate design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based testing, and actionable feedback. Use when the user asks to review, critique, evaluate, or give feedback on a design or component.

Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.