Eines de línia d’ordres
Eines de línia d’ordres
cloud-sql-basics
This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages. Cloud SQL handles backups, high availability, and secure connectivity for relational database workloads.
cloud-run-basics
Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).
firebase-basics
Use this skill whenever you are working on a project that uses Firebase products or services, especially for mobile or web apps.
alloydb-basics
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations.
agentguard
GoPlusSecurity
GoPlus AgentGuard — AI agent security guard. Automatically blocks dangerous commands, prevents data leaks, and protects secrets. Use when reviewing third-party code, auditing skills, checking for vulnerabilities, evaluating action safety, or viewing security logs.
gpd-metadata-sync
rudrankriyam
Sync and validate Google Play metadata, listings, and assets with gpd, including Fastlane-style workflows. Use when updating store listings or translations.
gpd-ppp-pricing
rudrankriyam
Set region-specific pricing for Google Play subscriptions and products using gpd monetization commands. Use when adjusting prices by territory or PPP strategy.
asc-release-flow
rudrankriyam
End-to-end release workflows for TestFlight and App Store using asc publish, builds, versions, and submit commands. Use when asked to upload a build, distribute to TestFlight, or submit to App Store.
asc-metadata-sync
rudrankriyam
Sync and validate App Store metadata and localizations with asc, including legacy metadata format migration. Use when updating metadata or translations.
gpd-betagroups
rudrankriyam
Orchestrate Google Play beta testing groups and distribution using gpd. Use when managing testers, internal testing, or beta rollouts.
asc-notarization
rudrankriyam
Archive, export, and notarize macOS apps using xcodebuild and asc. Use when you need to prepare a macOS app for distribution outside the App Store with Developer ID signing and Apple notarization.
gpd-build-lifecycle
rudrankriyam
Track build processing, status, and retention for Google Play using gpd publish commands. Use when waiting on processing or managing releases.
asc-shots-pipeline
rudrankriyam
Orchestrate iOS screenshot automation with xcodebuild/simctl for build-run, AXe for UI actions, JSON settings and plan files, Go-based framing (asc screenshots frame), and screenshot upload (asc screenshots upload). Use when users ask for automated screenshot capture, AXe-driven simulator flows, frame composition, or screenshot-to-upload pipelines.
hivemind-goals
activeloopai
Create, track and update team goals + KPIs in Hivemind via the hivemind CLI. Use whenever the user mentions a goal, objective, KPI, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy hivemind tasks CLI and now covers both objectives and tasks.
ascii-terminal-animation-pack
partme-ai
Plan and generate terminal ASCII animations/screensaver-style output (FPS, refresh rules, loop policy, low-flicker guidance), with a static poster frame and an optional local demo script.
running-dbt-commands
dbt-labs
Use when executing dbt commands via CLI - running models, tests, builds, compiles, or show queries. Use when unsure which dbt executable to use or how to format command parameters.
apify-actorization
apify
Convert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (async context manager), or any language (CLI wrapper). Use when migrating code to Apify, wrapping CLI tools as Actors, or adding Actor SDK to existing projects.
databricks-app-apx
databricks-solutions
"Build full-stack Databricks applications using APX framework (FastAPI + React)."
setperms
0xDarkMatter
"Set tool permissions for Claude Code. Configures allowed commands, rules, and preferences in .claude/ directory. Triggers on: setperms, init tools, configure permissions, setup project, set permissions, init claude."
provider-cost-comparison
langwatch
Prices your real LangWatch usage mix against other model providers. Exports your actual token mix per model, including the cache read and write split, fetches current price cards, and reprices the same month of usage under each candidate, with the cache sensitivity stated. Use when someone asks whether a cheaper provider or model would actually save money on your workload.
code-changes
langwatch
Change the user's own program, on their machine or through GitHub. Use when a request needs a change to the user's code (instrument tracing, wire the SDK, fix the agent behind a failing scenario, add a run parameter to a connected agent, version a hardcoded prompt) and not when the platform alone can do it (create a scenario, an evaluation, a prompt version, read traces).
prompt-optimization
langwatch
Improve a prompt on the evaluations workbench through a measured loop. Score the baseline first, then duplicate the target column, form a hypothesis from failing rows, edit the copy's prompt draft, run, compare pass rate and cost, and repeat until the numbers hold. Use when the user asks to optimize or improve a prompt, when they arrive from the workbench's "Optimize this prompt" menu item, or when they want their bot to answer better. Bootstraps a missing dataset or evaluator first.
connect-agent
langwatch
Connect the codebase's AI agent to LangWatch agent simulations, so test suites run against the real agent process. Adds a small connect function beside the service startup that calls the agent already in the codebase, which opens an outbound connection and registers the agent with its environment and its run parameters, confirms the agent is Online, and runs the first test suite. Falls back to an HTTP registration when the agent cannot import the SDK. Use when the user wants platform scenarios to test their real agent.
nlm-skill
jacob-bd
"Expert guide for the NotebookLM CLI (nlm) and MCP server - interfaces for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of \"nlm\", \"notebooklm\", \"notebook lm\", \"podcast generation\", \"audio overview\", or any NotebookLM-related automation task."