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Found 739 Skills
Provides comprehensive Google Cloud Platform (GCP) guidance including Compute Engine, Cloud Storage, Cloud SQL, BigQuery, GKE (Google Kubernetes Engine), Cloud Functions, Cloud Run, VPC networking, load balancing, IAM, Cloud Build, infrastructure as code (Terraform, Deployment Manager), security configuration, cost optimization, and multi-region deployment. Produces infrastructure code, deployment scripts, configuration guides, and architecture designs. Use when deploying to Google Cloud, designing GCP infrastructure, migrating to GCP, configuring GCE instances, setting up Cloud Storage, managing Cloud SQL databases, working with BigQuery, deploying to GKE, or when users mention "Google Cloud", "GCP", "Compute Engine", "Cloud Storage", "BigQuery", "GKE", "Cloud Run", "Cloud Functions", "VPC", "Cloud SQL", or "Google Cloud Platform".
Titanium SDK official fundamentals and configuration guide. Use when working with, reviewing, analyzing, or examining Titanium projects, Hyperloop native access, app distribution (App Store/Google Play), tiapp.xml configuration, CLI commands, memory management, bridge optimization, CommonJS modules, SQLite transactions, or coding standards. Applies to both Alloy and Classic projects.
Drizzle ORM reference for PostgreSQL — schema definition, typesafe queries, relations, and migrations with drizzle-kit. Use when: (1) defining pgTable schemas with column types, indexes, constraints, or enums, (2) writing select/insert/update/delete queries or joins, (3) defining relations and using the relational query API (db.query.*), (4) running drizzle-kit generate/migrate/push/pull, (5) configuring drizzle.config.ts, (6) using the sql`` template operator, or (7) working with PostGIS/pg_vector extensions.
Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.
Use when writing or running Nushell commands, scripts, or pipelines - via the Nushell MCP server (mcp__nushell__evaluate), via Bash (nu -c), or in .nu script files. Also use when working with structured data (JSON, YAML, TOML, CSV, Parquet, SQLite), doing ad-hoc data analysis or exploration, or when the user's shell is Nushell.
Use this skill when defining ideal customer profiles, building scoring models, identifying intent signals, or qualifying leads. Triggers on lead scoring, ICP definition, scoring models, intent signals, MQL, SQL, lead qualification, BANT, and any task requiring lead prioritization or qualification framework design.
Use this skill when architecting on Google Cloud Platform, selecting GCP services, or implementing data and compute solutions. Triggers on Cloud Run, BigQuery, Pub/Sub, GKE, Cloud Functions, Cloud Storage, Firestore, Spanner, Cloud SQL, IAM, VPC, and any task requiring GCP architecture decisions or service selection.
Use this skill whenever the user needs backend infrastructure management — creating database tables, running SQL, deploying serverless functions, managing storage buckets, deploying frontend apps, adding secrets, setting up cron jobs, checking logs, or running backend diagnostics — especially if the project uses InsForge. Trigger on any of these contexts: creating or altering database tables/schemas, writing RLS policies via SQL, deploying or invoking edge functions, creating storage buckets, deploying frontends to hosting, managing secrets/env vars, setting up scheduled tasks/cron, viewing backend logs, diagnosing backend health or performance issues, or exporting/importing database backups. If the user asks for these operations generically (e.g., "create a users table", "deploy my app", "set up a cron job", "check backend health") and you're unsure whether they use InsForge, consult this skill and ask. For writing frontend application code with the InsForge SDK (@insforge/sdk), use the insforge skill instead.
Diagnose and manage Alibaba Cloud databases through natural language. Use when users need to troubleshoot database performance issues (high CPU, slow queries, abnormal connections, lock waits), check instance status, analyze disk space, optimize SQL, run health inspections, or detect security baseline violations. Supports RDS (MySQL/PostgreSQL/SQL Server), PolarDB, MongoDB, Redis (Tair), and Lindorm. Trigger this skill even for casual descriptions like "my database is slow", "can't connect to the database", "help me check this SQL", or "database disk is almost full". Also suitable for consulting Alibaba Cloud-specific database features (e.g., PolarDB Serverless, DAS autonomy capabilities) and comparing product differences (RDS vs PolarDB). Do NOT use this skill for general SQL tutorials, non-Alibaba Cloud databases, or local database administration.
Run SQL queries against the attached DuckDB database or ad-hoc against files. Accepts raw SQL or natural language questions. Uses DuckDB Friendly SQL idioms.
Complete security remediation workflow. Scans code for vulnerabilities using Snyk, fixes them, validates the fix, and optionally creates a PR. Supports both single-issue and batch mode for multiple vulnerabilities. Use this skill when: - User asks to fix security vulnerabilities - User mentions "snyk fix", "security fix", or "remediate vulnerabilities" - User wants to fix a specific CVE, Snyk ID, or vulnerability type (XSS, SQL injection, path traversal, etc.) - User wants to upgrade a vulnerable dependency - User asks to "fix all" vulnerabilities or "fix all high/critical" issues (batch mode)
Agent-first OpenRouter introspection — terse output for cron and AI agents (--agent and --llm modes), local SQLite... Trigger phrases: `openrouter credits`, `check openrouter budget`, `openrouter cost by cron`, `shortlist openrouter models`, `openrouter providers degraded`, `use openrouter`, `run openrouter`.