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Run smoke tests, or basic operational checks, for Mastra projects locally or in staging and production. Verify Studio screens, agents, tools, workflows, traces, and memory, then report results, blockers, and skipped checks.

中文简介正在准备中。当前显示英语简介。

• Checking a local Mastra project before release
• Testing Studio and server deployments in the cloud
• Running targeted checks for agents or traces

Audits Mastra documentation against repository source and canonical writing guidance. Checks examples in context, API reference coverage, and targeted automated results, then produces an evidence-based report with findings and limitations without editing files.

中文简介正在准备中。当前显示英语简介。

• Auditing every changed documentation page in a pull request
• Checking code examples against source and surrounding explanations
• Finding missing or incorrect API reference details

Prepare and publish FastMCP releases, from reviewing changes and crediting contributors to updating changelogs, creating release tags, checking Python package publication on PyPI, and confirming that the documentation site reflects the release.

中文简介正在准备中。当前显示英语简介。

• Previewing changes for the next FastMCP release
• Preparing release notes and contributor credits
• Publishing a patch or maintenance release

Build Python APIs with FastAPI and Pydantic V2, including input validation, database operations that avoid blocking other work, and token-based authentication. Implement REST or WebSocket endpoints, then check their behavior with automated tests and generated API documentation.

中文简介正在准备中。当前显示英语简介。

• Build REST APIs with FastAPI
• Validate input data with Pydantic V2
• Implement JWT authentication and authorization

Find and replace code using syntax patterns with ast-grep. Search for function calls, imports, and definitions while excluding matches inside strings or comments, then preview proposed replacements before applying changes across selected files or directories.

中文简介正在准备中。当前显示英语简介。

• Finding function calls or import statements
• Replacing logging calls across a codebase
• Searching selected directories or file types

Forecast sales, sensor readings, and other single-variable time series with Google's TimesFM, without training a custom model. Accept CSV files, DataFrames, or arrays and obtain forecast values with prediction intervals that express uncertainty.

中文简介正在准备中。当前显示英语简介。

• Forecast monthly sales from a CSV file
• Forecast demand across multiple stores
• Plot sensor forecasts with prediction intervals

Control NVIDIA Broadcast effects for cameras, microphones, and speakers through MCP, an agent connection interface. Apply effects to local media files, switch devices, adjust camera resolution, and check the current effect settings.

中文简介正在准备中。当前显示英语简介。

• Adjust camera and microphone effects
• Apply effects to local video or audio files
• Switch cameras, microphones, or speakers

DevOps 与站点可靠性工程 (SRE) — 平台 / 基础设施 / 可靠性工程师的认知操作系统, 覆盖软件交付 + 运维全生命周期 (CI/CD 与发布工程 trunk-based + 渐进式发布 canary/blue-green/feature flag + GitOps Argo CD/Flux / 基础设施即代码 Terraform/OpenTofu/Pulumi/Ansible + policy-as-code OPA / 容器与编排 Docker/Kubernetes + Helm/Kustomize + service mesh Istio/Linkerd / 可观测性 Prometheus + Loki + OpenTelemetry + Honeycomb + eBPF + RED/USE / SLO-SLI-error budget 与可靠性工程 Google SRE 学科 + 容量规划 + 优雅降级 / 事件管理与 on-call 事件指挥 + PagerDuty + runbook + 无指责复盘 + MTTR / 云平台与 FinOps AWS/GCP/Azure + 成本优化 + 弹性伸缩 / 平台工程与开发者体验 IDP + Backstage + golden path + Team Topologies / DevSecOps 与供应链安全 shift-left + SBOM + SLSA + sigstore + Vault / 韧性与混沌工程 fault injection + game day + 安全科学 / DORA 指标与工程效能 部署频率 + 变更前置时间 + 变更失败率 + Accelerate 研究 / 数据库与有状态运维 schema 迁移 + 备份容灾) — 不含 通用应用开发 / 纯云销售认证速成 / 'DevOps = 跑 Jenkins 的岗位' 窄化误解 / ITIL 工单文化传统运维 (旧范式仅做边界) / 把手工运维 ClickOps 当稳态 (是 toil, 本 skill 核心反模式) (DevOps & Site Reliability Engineering — the cognitive operating system of platform / infrastructure / reliability practitioners who own the full software delivery + operational lifecycle, covering (a) CI/CD & release engineering (build pipelines, trunk-based development, progressive delivery — canary / blue-green / feature flags, GitOps with Argo CD / Flux), (b) Infrastructure as Code (Terraform / OpenTofu, Pulumi, CloudFormation, Ansible, Crossplane — module design, state management, drift, policy-as-code OPA / Sentinel / Checkov), (c) containers & orchestration (Docker / OCI, Kubernetes — scheduling, networking CNI, storage CSI, operators / CRDs, Helm / Kustomize, service mesh Istio / Linkerd), (d) observability (the three pillars + beyond — metrics Prometheus / VictoriaMetrics, logs Loki / ELK, traces OpenTelemetry / Jaeger / Tempo, high-cardinality observability Honeycomb, eBPF, RED / USE methods, SLO-based alerting), (e) SLO / SLI / error budgets & reliability engineering (Google SRE discipline — service level objectives, error budget policy, toil budgets, capacity planning, load shedding, graceful degradation), (f) incident management & on-call (incident command, PagerDuty / Opsgenie, runbooks, blameless postmortems, MTTR / MTTD, error budget burn), (g) cloud platforms & FinOps (AWS / GCP / Azure well-architected, multi-region, cost optimization, autoscaling), (h) platform engineering & developer experience (internal developer platforms, Backstage, golden paths, self-service, Team Topologies), (i) DevSecOps & supply-chain security (shift-left, SAST / DAST, SBOM, SLSA, sigstore / cosign, secrets management Vault), (j) resilience & chaos engineering (chaos experiments, fault injection, game days, resilience engineering / safety science), (k) DORA metrics & engineering effectiveness (deployment frequency, lead time, change failure rate, MTTR, the Accelerate research), (l) databases & stateful operations (schema migrations, backups / DR, replication); NOT generic software development / app feature coding (是 平行学科, DevOps/SRE 关注 delivery + operability 不是 product feature), NOT pure cloud sales / certification cram without operational depth, NOT 'DevOps = a job title that runs Jenkins' 的窄化误解 (DevOps 是 文化 + 实践, SRE 是 Google 对 reliability 的工程化具体实现), NOT ITIL-heavy 传统运维 工单文化 (是 被 DevOps 取代的旧范式, 仅做边界标注), NOT manual ops / ClickOps as a steady state (是 toil, 本 skill 的核心反模式).) Master OS — automated mastery of DevOps & Site Reliability Engineering — the cognitive operating system of platform / infrastructure / reliability practitioners who own the full software delivery + operational lifecycle, covering (a) CI/CD & release engineering (build pipelines, trunk-based development, progressive delivery — canary / blue-green / feature flags, GitOps with Argo CD / Flux), (b) Infrastructure as Code (Terraform / OpenTofu, Pulumi, CloudFormation, Ansible, Crossplane — module design, state management, drift, policy-as-code OPA / Sentinel / Checkov), (c) containers & orchestration (Docker / OCI, Kubernetes — scheduling, networking CNI, storage CSI, operators / CRDs, He

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Launch a podcast or plan podcast guest strategy — format, content planning, episode production, guest outreach, and distribution. Use when "podcast", "start a podcast", "podcast marketing", "podcast guest", "podcast strategy", "be a podcast guest", "launch a show", or any request related to podcast creation or guest appearances.

中文简介正在准备中。当前显示原文说明。

协助使用FastAPI开发Python网页API，整理输入验证、错误处理和异步调用，并通过代码组织与缓存兼顾实现的可读性和响应性能。

• 设计API路由与输入验证
• 检查异步数据库与API调用
• 整理错误处理和日志

Review form fields for code that blocks pasting, then remove those restrictions. The skill helps check password manager use, keyboard interactions, and accessibility so people can paste passwords and other long values into inputs.

中文简介正在准备中。当前显示英语简介。

• Checking why passwords cannot be pasted
• Reviewing credit card fields for paste restrictions
• Improving form accessibility

Analyze pooled CRISPR screens from FASTQ reads or guide-count tables using MAGeCK. Validate inputs, assess library and replicate quality, and rank enriched or depleted genes with effect sizes and false discovery rates, which estimate false-positive proportions.

中文简介正在准备中。当前显示英语简介。

• Counting guide reads from FASTQ files
• Checking library representation and replicate consistency
• Comparing treatment and control screens

Use Python to analyze astronomical data, convert celestial coordinates, units, and times, and read or write FITS astronomy files. It also guides catalog matching and calculations of cosmic distances and ages using cosmological models.

中文简介正在准备中。当前显示英语简介。

• Converting celestial coordinates for an observing location
• Reading FITS images and inspecting their headers
• Matching objects across astronomical catalogs

Develop and review FastGPT APIs with consistent input and output checks, TypeScript types, and OpenAPI documentation. It guides the use of Zod schemas, definitions that describe and validate data, alongside permission checks and reusable structures.

中文简介正在准备中。当前显示英语简介。

• Adding a new FastGPT API route
• Changing API inputs or responses
• Reviewing API validation and documentation

Retire a FastGPT workflow node while preserving existing workflows. The skill guides changes to templates, execution handlers, and interface references so the node disappears from creation menus but still loads, runs, and displays a replacement notice.

中文简介正在准备中。当前显示英语简介。

• Retiring a FastGPT workflow node
• Hiding a node from creation menus
• Preserving existing workflows during node retirement

Create Vitest tests for Mastra playground features using MSW to simulate network responses. Exercise the real client SDK, React Query cache, and components with typed sample data to check loading, access conditions, redirects, and errors.

中文简介正在准备中。当前显示英语简介。

• Test loading, empty, and error states
• Check requests controlled by permissions or feature flags
• Verify pagination and query parameters

Test mastracode’s terminal interface in Konsole, covering model setup, conversation switching, task state isolation, and display issues. The guide combines interactive checks with scripted rendering tests and troubleshooting steps for common build and configuration problems.

中文简介正在准备中。当前显示英语简介。

• Checking task state when switching conversations
• Setting up OpenRouter for interactive tests
• Testing borders and wrapping at different terminal widths

Set up Herdr Kit and its Mastra Code integration, manage repository synchronization, and create or remove managed worktrees, separate working copies for review or development. The workflow checks supported operations and verifies the resulting manager state.

中文简介正在准备中。当前显示英语简介。

• Installing Herdr Kit and the Mastra Code integration
• Keeping repositories synchronized after closing their workspaces
• Creating or removing managed Review and Work worktrees

Write and revise FastMCP documentation pages with consistent structure, clear explanations, and runnable code examples. Covers accessibility, link and Python checks, and the publishing steps needed to confirm changes reach the live site.

中文简介正在准备中。当前显示英语简介。

• Documenting a new FastMCP feature
• Reworking an existing documentation page
• Reviewing accessibility and page consistency

Find worthwhile FastMCP issues within a backlog or release window. Investigate user impact, intended behavior, likely causes, and existing pull requests, then recommend concrete candidates with links and next steps.

中文简介正在准备中。当前显示英语简介。

• Choosing the next FastMCP issue to work on
• Finding issues reported or updated since the last patch
• Organizing fixed issues and competing pull requests

Discover MCP servers and inspect their available tools from the command line, then invoke operations with typed arguments or JSON. Use local files, remote endpoints, or configured server names, and return structured output for scripts.

中文简介正在准备中。当前显示英语简介。

• Finding MCP servers configured in editors or a project
• Inspecting available tools and input definitions
• Calling tools on local or remote MCP servers

Set up NVIDIA infrastructure for synthetic data generation on MicroK8s or Azure AKS. Coordinate Kubernetes, inference services, and OSMO workflow execution, with prerequisite checks, deployment validation, capacity planning, and failure investigation before workloads are retried.

中文简介正在准备中。当前显示英语简介。

• Set up a synthetic data generation environment on MicroK8s
• Deploy an Azure AKS environment with OSMO and inference services
• Check GPU quotas and capacity before scaling

Prepare single-cell or single-nucleus RNA-seq analysis by checking inputs and selecting workflows that turn FASTQ sequencing files into count matrices. Route quality checks, cell annotation, clustering, and UMAP visualization to the embedded downstream skill.

中文简介正在准备中。当前显示英语简介。

• Start single-cell RNA-seq analysis from FASTQ files
• Choose a workflow for generating count matrices
• Route existing matrices to quality checks and cell annotation

Search UniProt protein records by gene or identifier and receive concise summaries. The skill supports UniProtKB, UniRef, and UniParc lookups, with optional file saving for full JSON records or FASTA, a text format for biological sequences.

中文简介正在准备中。当前显示英语简介。

• Find protein records by gene and organism
• Look up a protein by its accession
• Inspect UniRef clusters and UniParc records