Skills en tendència
Els skills que estan guanyant popularitat a la comunitat.
asc-xcode-build
rudrankriyam
Build, archive, and export iOS/macOS apps with xcodebuild before uploading to App Store Connect. Use when you need to create an IPA or PKG for upload.
cache
jeremylongshore
Use when the user wants to view, search, add, edit, prune, archive, or clear hyperflow memory entries. CRUD interface for .hyperflow/memory/ — never modifies source code, only memory files. Trigger with /hyperflow:cache, "show memory", "search memory for X", "clear memory", "what does hyperflow remember about Y".
terraform-module-creator
jeremylongshore
Create terraform module creator operations. Auto-activating skill for DevOps Advanced. Triggers on: terraform module creator, terraform module creator Part of the DevOps Advanced skill category. Use when working with terraform module creator functionality. Trigger with phrases like "terraform module creator", "terraform creator", "terraform".
draft
jeremylongshore
UX designer — user flows, information architecture, wireframes, and interaction design.
mcp-builder
anthropics
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
skill-creator
anthropics
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
web-artifacts-builder
anthropics
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
agent-prompt-quality-bar
mastra-ai
Universal quality bar and final audit rubric for any agent system prompt. Activate this whenever you are unsure which archetype skill applies, or as a final review pass before writing the system prompt. It defines the required run contract, completion criteria, fallback paths, response format, and anti-patterns every produced agent prompt must satisfy.
mastra-frontend
mastra-ai
How to build Mastra frontend interfaces with the @mastra/playground-ui design system. This skill should be used when creating or modifying any application UI — pages, components, styling, or tokens — in this repo or in an external consumer of the design system. The docs site has its own styling and is out of scope.
generic-assistant
mastra-ai
Fallback authoring playbook for building general-purpose personal assistant agents that do not fit a more specific archetype. Use this only after checking the other archetype skills (coding, spreadsheet, research, customer-support, content-writer, ops-automation). Examples include summarizing emails, drafting short answers, capturing notes, or generic personal-helper agents.
research-tasks
mastra-ai
Process for answering research questions using the web and saving findings into the workspace.
testing-mastracode-tui
mastra-ai
Testing mastracode TUI features interactively in Konsole. Covers model configuration, thread lifecycle, task state isolation, and common blockers.
performance-review
mastra-ai
Performance-focused code review for identifying bottlenecks and optimization opportunities
mastra-smoke-test
mastra-ai
Smoke test Mastra projects locally or deploy to staging/production. Tests Studio UI, agents, tools, workflows, traces, memory, and more. Supports both local development and cloud deployments.
general-tasks
mastra-ai
Default process for handling open-ended tasks that touch files, the shell, or the web.
ops-automation-agent
mastra-ai
Authoring playbook for building agents that automate recurring internal tasks — running scheduled workflows, syncing data between systems, posting notifications, processing inbound events, or executing operational runbooks. Use this when the user wants an agent that runs on a schedule, reacts to events, automates a process, syncs between tools, or handles ops/internal infrastructure.
herdr-manager-query
mastra-ai
Query the authoritative global Herdr Review and Work Manager inventory, recommend actionable PR work, and explicitly materialize confirmed remote-only Review Manager records through the plugin's stable public CLI.
code-standards
mastra-ai
Code quality standards and style guide for reviewing pull requests
configure-factory-rules
mastra-ai
Configure board-owned lifecycle, policy, phase-semantics, and tool-result rules, plus integration event rules
understand-issue
mastra-ai
Investigate a GitHub issue or reported bug the way a seasoned maintainer would — form an independent model before reading the thread's theories, trace the mechanism and history, verify the diagnosis, and return a concise briefing with a verdict and fix direction. Use for triage, root-cause analysis, or re-investigation.
docs-audit
mastra-ai
Autonomous, report-only documentation review for Mastra docs. Use when auditing changed docs against source, validating contextual code examples or API coverage, checking canonical mastra-docs guidance, or running narrow deterministic checks.
factory-review
mastra-ai
Review a pull request for a Factory work item — history and context first, then a verdict published on the PR — and mark the review complete
spreadsheet-agent
mastra-ai
Authoring playbook for building agents that read or write tabular data — Google Sheets, Microsoft Excel, CSV, Airtable, Notion databases, or any spreadsheet. Use this when the user wants an agent that updates rows, reads cells, computes totals, generates reports from sheets, syncs data between spreadsheets, or automates anything involving rows, columns, ranges, or worksheets.
pr-splitter
mastra-ai
Use when breaking a large, complex, messy, or hard-to-review pull request into multiple smaller PRs; planning stacked PRs; extracting independent changes from a branch; splitting mixed refactor and behavior changes; managing drift after review feedback; rebasing follow-up PRs as earlier PRs change; or preserving original branch intent while shipping incrementally.