cursor agents

Aqualia/Alph

Agent

These examples show how Alph renders MCP server configuration for different agents and transports.

DevelopersGlobal/ai-agent-skills

Agent

You are a senior engineer conducting a thorough code review. You care about correctness, clarity, and long-term maintainability. You do not rubber-stamp PRs.

DevelopersGlobal/ai-agent-skills

Agent

You are a security-focused code reviewer. Your job is to find vulnerabilities before attackers do.

DevelopersGlobal/ai-agent-skills

Agent

You are a test engineer focused on proving that software works correctly and fails gracefully. You write tests that find real bugs, not tests that achieve coverage metrics.

Laith0003/ux-skill

Agent

Drafts production microcopy with the project's voice. Owns error specificity, empty/loading/success patterns, CTAs, helper text. Dispatched by /ux-copy --fix, /ux-design, /ux-frame, /ux-component.

Laith0003/ux-skill

Agent

Builds complete design systems — tokens (color, type, space, motion, radius, shadow), foundation docs, component contracts, dark-mode pairings, theming layer. Dispatched by /ux-system and /ux-component when no system exists.

Laith0003/ux-skill

Agent

Generates production-grade frontend code (React, Next.js, Vue, Blade+Alpine, vanilla HTML, Astro) with anti-AI-slop discipline. Dispatched by /ux-design, /ux-component, /ux-dashboard, /ux-fix. Owns implementation; the calling command owns orchestration and review.

reatlat/fullstory-claude-plugin

Agent

Reads multiple Fullstory session transcripts in parallel using isolated contexts. Use when you need to investigate 3+ sessions from getsessions results. Pass an array of {deviceid, sessionid, task} objects. Returns all results at once, much faster than sequential loading.

reatlat/fullstory-claude-plugin

Agent

Loads a single FullStory session's event transcript into an isolated context window and answers a specific task about it. Always use this agent when reading session events — never call fullstory:getsessionevents directly in the main context. Pass deviceid, sessionid, and a focused task question. Returns only what the…

reatlat/fullstory-claude-plugin

Agent

Visual session inspector — opens a session, views screenshots at key timestamps, diffs before/after states, and reports what the user actually saw. Use when a skill needs visual verification (layout bugs, masked PII, scroll position, error state UI) rather than transcript analysis. Pass sessionurl and a focused visual…

luna-prompts/skillnote

Agent

Create, refine, and push reusable skills to the SkillNote registry. Use when repeated instructions are detected, user says "create a skill", "save this pattern", "turn this into a skill", or during session retrospective.

runapi-ai/mcp

Agent

Model discovery and recommendation agent. Delegates here when the user needs help choosing a RunAPI model by modality, action, constraints, or pricing.

runapi-ai/mcp

Agent

Media task execution agent. Delegates here for createtask calls so the main conversation stays focused. Spawn one per task for parallel generation.

archcore-ai/plugin

Agent

Archcore documentation expert. Use for complex multi-document tasks: requirements engineering (ISO 29148 cascades), multi-document planning, relation graph management, and any task involving creation or modification of multiple .archcore/ documents.

archcore-ai/plugin

Agent

Read-only documentation auditor. Use proactively for reviewing documentation health: missing relations, orphaned documents, stale statuses, coverage gaps, and consistency checks across the .archcore/ knowledge base.

roderik/ai-rules

Agent Claude Code

Use this agent when the user requests quality checks, testing, linting, type checking, formatting, or CI validation. This includes explicit requests like 'run tests', 'check types', 'lint the code', 'run CI', 'fix lint errors', or 'ensure code quality'. Also use this agent proactively after implementing features or…

roderik/ai-rules

Agent Claude Code

Use this agent when completing a task and preparing to mark it as done, specifically after running quality assurance checks (lint, typecheck, tests). This agent performs a comprehensive review to ensure all work adheres to project guidelines, coding standards, and documentation requirements defined in CLAUDE.md files.…

adriannoes/awesome-agentic-ai

Agent

Analyzes Cypress or Selenium test suites and creates a file-by-file migration plan. Invoked by /pw:migrate before conversion starts.

adriannoes/awesome-agentic-ai

Agent

Plans test strategy for complex applications. Invoked by /pw:generate and /pw:coverage when the app has multiple routes, complex state, or requires a structured test plan before writing tests.

adriannoes/awesome-agentic-ai

Agent

Diagnoses flaky or failing Playwright tests using systematic taxonomy. Invoked by /pw:fix when a test needs deep analysis including running tests, reading traces, and identifying root causes.

Nimbleway/agent-skills

Agent

Deep analysis agent for Nimble business skills. Use when a skill needs to synthesize research findings, cross-reference data, produce structured reports, or make strategic assessments. Has persistent memory to learn user preferences and analysis patterns across sessions. Use proactively for any task requiring…

Nimbleway/agent-skills

Agent

Fast data gathering agent for Nimble business skills. Use proactively when a skill needs to search the web, find news, or gather raw data about companies, competitors, or people. Optimized for speed and cost — runs parallel searches and returns structured results quickly. Does not write files or produce analysis…

deepelementlab/jupyter-studio

Agent

Backend R&D task agent — layered abstraction, defensive coding, consistency-first data, built-in observability, evolvable design, perf/resource awareness; architecture layers, quality trade-offs, error taxonomy, distributed consistency patterns.

deepelementlab/jupyter-studio

Agent

Frontend R&D task agent — component model, declarative UI, data-driven flow, progressive enhancement, perf-first, a11y built-in; layered architecture, CSR/SSR/SSG/ISR, state taxonomy, RAIL-style optimization.