Essential command-line tools and system utilities.
Audit a Go package in this repository for subtle correctness bugs, including both bugs inside the package and bugs in how the rest of the repository uses it. Optimized for Pebble- and CockroachDB-style code where invariants, iterator semantics, ownership, and API contracts matter more than style issues.
CLI tool for automating any terminal application — TUI apps, shells, CLI tools, REPLs, and more. Use when you need to launch a process in a virtual terminal, capture its screen output, inject keystrokes or mouse input, take screenshots, record sessions, or assert on what's visible.
Reviews .NET API surface area PRs for design guideline violations. Analyzes api/*.cs file diffs, applies review rules from .NET Framework Design Guidelines and Aspire conventions, and attributes findings to the developer who introduced each API (via git blame). Use this when asked to review API surface area changes.
Guide for diagnosing GitHub Actions test failures, extracting failed tests from runs, and creating or updating failing-test issues. Use this when asked to investigate GitHub Actions test failures, download failure logs, create failing-test issues, or debug CI issues.
Review a GitHub pull request for problems. Use when asked to review a PR, do a code review, check a PR for issues, or review pull request changes. Focuses only on identifying problems — not style nits or praise.
Measures Aspire application startup performance using dotnet-trace and the TraceAnalyzer tool. Use this when asked to measure impact of a code change on Aspire application startup performance.
Specialized agent for creating and improving Connection Properties in Aspire resource and README files
Updates Docker container image tags used by Aspire hosting integrations. Queries registries for newer tags, uses LLM to determine version-compatible updates, and applies changes. Use this when asked to update container image versions.
Use this skill when the user is working with an Aspire distributed application and needs to operate the AppHost or its resources through the Aspire CLI: start, restart, stop, or wait on the app; inspect resources, logs, traces, docs, or health; add integrations; manage secrets or config; publish, deploy, or rerun a named pipeline step; initialize Aspire in an existing app; recover missing `.modules` files in a TypeScript AppHost; discover the right frontend URL for Playwright from Aspire state; expose custom dashboard/resource commands; or understand unfamiliar Aspire AppHost APIs in C# or TypeScript. Use it even if they describe the task in terms of an AppHost, resources, dashboard, existing app bootstrap, missing generated modules, Playwright URL discovery, C# API understanding, or local distributed app workflow without explicitly naming Aspire. Do not use it for non-Aspire .NET apps, container-only repos with no AppHost, or ordinary build and test tasks.
Four-phase debugging methodology with root cause analysis. Use when investigating bugs, fixing test failures, or troubleshooting unexpected behavior. Emphasizes NO FIXES WITHOUT ROOT CAUSE FIRST.
Export and analyze Vibe Aptabase analytics for recent time windows or existing CSV exports, with emphasis on failure rates, affected users, app versions, and OS breakdowns. Use when Codex needs to: (1) export recent analytics with `scripts/export_analytics.py`, (2) filter an export to the exact last N hours, (3) restrict analysis to specific `app_version` values, (4) quantify the impact of the current failure-related events defined in the repository, or (5) produce a concise reliability report with fix suggestions.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
Guide for Lightdash's CASL-based authorization system. Use when working with scopes, custom roles, abilities, permissions, ForbiddenError, authorization, or access control. Helps with adding new scopes, debugging permission issues, understanding the permission flow, and creating custom roles.
Use when working with Lightdash YAML files, dbt models with Lightdash metadata, the lightdash CLI (deploy, upload, download, preview, lint, sql, set-warehouse), or creating/editing charts, dashboards, metrics, and dimensions as code
Debug the Lightdash app using PM2 logs, Spotlight traces, and browser automation. Use when investigating issues, tracking down bugs, understanding request flow, or correlating frontend actions with backend behavior.
Fix a Snyk vulnerability PR by regenerating the pnpm lockfile, checking changelogs for breaking changes, and posting findings as a PR comment. Use when asked to fix a vulnerability PR or handle a Snyk dependency upgrade.
Replay a HAR file as a mock backend to reproduce frontend performance issues with production data. Use when asked to replay a HAR file, reproduce a dashboard with a HAR, or test frontend performance with captured traffic.
Regenerate the local emitter and diff the generated code against the upstream baseline checked into autorest.python. Use this skill when the user wants to see how their emitter changes affect generated code compared to what's currently in production, says things like "diff upstream", "compare to baseline", "what changed vs production", "show me the diff", "how does this affect generated code", or wants to validate their changes produce the expected output differences.
Discovers and implements gaps in Spector test coverage for the C# HTTP client emitter. Use when asked to find missing Spector scenarios, add Spector test coverage, or implement a specific Spector spec for the C# emitter.
DeepChat app settings modification (DeepChat 设置/偏好) skill. Activate ONLY when the user explicitly asks to change DeepChat's own settings/preferences (e.g., theme, language, font size...). Do NOT activate for OS/system settings, editor settings, or other apps.
Comprehensive code review assistant that analyzes code quality, security, and best practices
Run or continue model benchmarks, collect measured results, and refresh README/docs benchmark sections from generated artifacts. Use when benchmark tables in model docs need to be created, updated, or corrected.
Reviews anomalib docstrings, documentation updates, and changelog expectations
Reviews anomalib model, data, callback, metric, and CLI integration conventions
