3.4K skills · sorted by relevance
Investigate failed Power Automate cloud flows through FlowStudio MCP. Inspect each action’s inputs and outputs, trace incorrect data upstream, fix expression or data issues, and replay a previous run to check the repair.
Organize Node.js, Express, and TypeScript APIs into layers with clear responsibilities. This guide covers request handling, business logic, database access, input validation, error tracking, configuration, and testing to support consistent implementation and refactoring across services.
Set up users, organizations, roles, and dataset sharing in cognee. The skill explains SDK and HTTP authentication, helps investigate permission errors or missing datasets, and clarifies how access settings separate each user’s stored data.
Write and review interface text, including button labels, error messages, empty screens, and onboarding instructions. Get recommended wording, alternatives, and explanations tailored to the user's situation, tone, and character limits.
Inspect production errors recorded in Sentry using read-only queries. The skill summarizes recent issues, retrieves details of individual error occurrences, and accesses AI-generated cause analysis or fix plans through the command-line tool.
Write and troubleshoot n8n expressions, the formulas that pass and transform data between workflow steps. Covers field references, webhook inputs, dates, strings, and choosing between expressions and Code nodes for data transformations.
Investigate crashes, out-of-memory errors, and device initialization failures on GKE TPU v6e nodes. The skill checks logs and custom metrics collection for conflicting operations, then guides temporary mitigation by disabling an identified collector.
Build AI applications with Genkit in Node.js and TypeScript, including conversational agents, generation workflows, and tools. Use documentation, type checks, and execution traces—records of model inputs and tool calls—to verify behavior and troubleshoot errors.
Investigate 403 and 500 errors in Google Cloud Gemini Enterprise Agent Platform. Examine logs, registered destinations, agent identities, and authorization policies to produce a diagnostic report with evidence, recommended fixes, and verification steps.
Set up credentials and a development environment for your first Google Ads API request to retrieve campaigns. Choose from six official client libraries or direct HTTP requests, with guidance for account IDs, developer tokens, and common authorization errors.
Operate Chrome or Brave using signed-in browser sessions to verify deployed pages, reproduce bugs, inspect page structure, and examine errors or network traffic. An optional macOS bridge extends control to native applications and operating system input.
Set up Sentry error tracking, investigate production failures, and prioritize issues by user impact. Configure useful alerts and analyze performance traces, which show how time is spent across application operations and services.
Investigate software errors, version conflicts, and API questions across official documentation, GitHub, technical Q&A, and Chinese developer communities. Results distinguish matching errors, source authority, and reported environments, giving you documented leads and next checks for debugging.
Investigate production errors using Sentry stack traces, which show the code execution path, and events leading up to the failure. Identify likely causes, triggering conditions, affected users, and releases before changing code.
Define reliability targets for production services and calculate error budgets, the allowed amount of failure. Create monitoring rules, incident response runbooks, capacity plans, and automation scripts, with failure experiments to check recovery behavior.
Build Next.js 14+ applications with App Router, server-rendered components, and form actions. Produces routes, page layouts, data fetching, loading and error states, and SEO metadata, while supporting performance optimization and deployment preparation.
Write and review interface text, including button labels, error messages, empty screens, and onboarding instructions. Get recommended wording, alternatives, and explanations tailored to the user's situation, tone, and character limits.
Build Node.js, Express, and TypeScript APIs with consistent structure. Separate request handling, business logic, and database access, while following guidance for input validation, error tracking, configuration, and tests when adding features or refactoring existing services.
Investigate and fix production errors reported in Sentry through MCP, a connection to external tools. Analyze error details and execution history, check them against source code, implement fixes, and verify them with tests and regression checks.
Fix Native SDK build failures caused by older Zig APIs. Organized by compiler error, this guide shows Zig 0.16 patterns for file access, output, lists, processes, environment variables, clocks, networking, and build configuration.
Recover from file-writing errors involving emoji or special symbols by switching to shell-based writing. Guides character preservation or replacement, literal text handling, directory preparation, and checks of the saved content.
Save large text files when write_file or shell_agent encounters payload size limits. Create the parent directory first, write the content with Python through run_shell, and verify the resulting file.
Run TypeScript checks without generating output files, with a fallback when the usual commands fail. The workflow records existing errors, filters diagnostics to changed files, and repeats checks after fixes to assess the modified code.
Decide when repeated search failures justify continuing document creation with existing knowledge. Track errors, distinguish retryable problems, and record verification limits, while excluding tasks that require current information or explicit external verification.