Browse skills

Full-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.

Generate a concise and structured PR description from commit history with minimal token usage

Capture a full DevTools-protocol trace of any browser automation — CDP firehose, screenshots, and DOM dumps — then bisect the stream into per-page searchable buckets. Use when the user wants to debug a failed run, audit network/console/DOM activity, attach a trace to an in-progress session, or feed structured per-page summaries back into an agent loop so its next iteration learns from the last one.

Use BuyWhere's MCP and API surfaces to add product search, price comparison, and deal discovery to AI shopping agents.

Audit a shipped repo for production-readiness gaps across RLS, webhooks, secrets, grants, Stripe idempotency, mobile UX, and deployment health.

Optimizes AI agent performance by pruning redundant context, managing token usage, and enforcing ultra-concise, direct-to-value responses.

Provision and manage AlloyDB for PostgreSQL clusters and instances on Google Cloud — a managed, PostgreSQL-compatible database with disaggregated compute/storage, columnar engine, and AlloyDB AI for vector search and natural-language queries. Use for HA clusters, read pools, IAM database auth, and Terraform-managed AlloyDB deployments.

Configure authentication and authorization for Google Cloud — Application Default Credentials (ADC), service account impersonation, Workload Identity Federation for GKE and external clouds, and OIDC ID tokens for service-to- service auth. Use when setting up local dev access, deploying to Cloud Run / Cloud Functions / GKE, or calling private Google Cloud APIs.

Provision and manage Cloud SQL instances on Google Cloud for MySQL, PostgreSQL, and SQL Server. Configure high availability, read replicas, automated backups, IAM database authentication, the Cloud SQL Auth Proxy, and Terraform deployments. Use for managed relational databases on GCP.

Provision and operate production-ready Google Kubernetes Engine (GKE) clusters using Autopilot as the golden path. Covers Autopilot vs Standard, private clusters, Workload Identity, autoscaling, GPU/TPU node pools for AI inference, cost optimization with Spot VMs, and observability via Managed Prometheus.

Investigate Google Cloud networking issues by analyzing VPC Flow Logs, firewall logs, Cloud NAT logs, threat logs, and networking metrics. Run Connectivity Tests for path diagnostics and use BigQuery linked datasets for high-volume traffic analysis. Use when troubleshooting connection failures, latency, packet loss, or top-talkers.

Apply the Google Cloud Well-Architected Framework's Cost Optimization pillar to evaluate workloads and recommend FinOps practices — billing exports, budgets, rightsizing via Active Assist, Spot VMs, Committed Use Discounts, storage lifecycle policies, and serverless adoption. Use for cloud cost reviews, monthly billing analysis, and architecture cost decisions.

Apply the Google Cloud Well-Architected Framework's Reliability pillar — define user-centric SLOs, eliminate single points of failure with multi-zone/region redundancy, configure horizontal autoscaling, observability via Cloud Monitoring, graceful degradation patterns, DR testing, and blameless postmortems. Use for production readiness reviews and SRE practices.

Apply the Google Cloud Well-Architected Framework's Security pillar — security by design, zero trust with IAP and BeyondCorp, shift-left scanning in CI/CD, Binary Authorization, VPC Service Controls, Cloud Armor, Sensitive Data Protection, and Security Command Center. Use for security architecture reviews, hardening checklists, and compliance evaluations.

Discover and install AI agent skills from terminalskills.io. Use when the user asks for a capability the agent does not already have a skill for — search the catalog by keyword, category, or tag; inspect a skill before installing; install for the current agent (Claude Code, Codex, Gemini CLI, Cursor); or browse via the public REST API or MCP server. Trigger words: "install skill", "find a skill for", "browse skills", "terminal-skills", "search the skill catalog".

Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.

Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.

Use formula-backed WorkPaper JSON and MCP tools for agent spreadsheet tasks without driving Excel or a browser UI.

Build natural-language crypto/DeFi agents and EVM MCP plugins (Claude Code, Cursor, Codex, Gemini). Aomi turns prompts into wallet-signed txs on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated. 40+ apps: Uniswap, Aave, Lido, Morpho, GMX, Hyperliquid, Polymarket.