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Found 158 Skills
Deploys a baseline landing zone foundation for a Google Cloud Organization, establishing security guardrails using Organization Policies, resource hierarchy folders and projects, billing association, and centralized logging and monitoring. Deploys Google Cloud's recommended security controls and architecture. Use when setting up a new Google Cloud Organization or establishing a secure, enterprise-grade landing zone foundation. Don't use for individual project onboarding (use google-cloud-recipe-onboarding or product-specific skills instead).
Core context and guardrails for OpenWork native app
Use when the user asks to define a goal, create a Goal Contract, or clarify a concrete task's goal, scope, success criteria, evidence, or guardrails before planning or execution.
Create and run LangWatch experiments for pre-deployment batch testing. Use when the user wants to test an agent against a dataset, compare prompts or models, benchmark quality, detect regressions, or add a CI quality gate. Do not use for production monitoring or guardrails.
Source-first, self-loop resistant guardrails for Capy GitHub dialogue responders before any write-capable PR, issue, or review action.
Configure Celigo AI agent and guardrail imports -- LLM-powered steps that classify, extract, validate, or generate data within flows. Use when creating agent imports (OpenAI, Gemini), guardrails (PII, moderation), or configuring prompts, structured output, or BYOK connections.
Risk-scaled execution guardrails for repository-scoped code or configuration changes, bug fixes, debugging, refactors, code reviews, test changes, implementation plans that lead to code, and Git mutations. Skip conceptual explanations, contract-preserving prose-only edits, pure architecture design, and read-only repository status.
Use AI to write NEW test code from specs, PRDs, user stories, code diffs, bug reports, or OpenAPI specs. Staged pipeline: requirements extraction → risk analysis → coverage matrix → scenario generation → oracle design → test code → human review, with guardrails against hallucinated APIs and weak assertions. Use when: "generate tests from spec," "tests from PRD," "tests from user story," "auto-generate test cases," "AI write tests for me." Not for: testing AI/LLM features in your product — use ai-system-testing. Not for: auditing a pre-existing test suite you did not just generate — use ai-qa-review (Step 7 here only reviews tests THIS pipeline produced). Related: playwright-automation, unit-testing, api-testing, qa-project-context.
Use this skill for any question or action about the user's AI/GenAI applications or agents — their behavior, prompts/responses, quality, hallucinations, guardrails, security, cost/tokens, errors, evaluations/policies, model pricing, or configuration — including comparing or tracking agents over time. It covers both analyzing AI telemetry (GenAI spans) and managing AI Center config via the `cx ai-center` commands.
**WORKFLOW SKILL** - Top-level router for Aspire 13.4 distributed apps. Detects the AppHost, enforces safety guardrails, and routes to the right sub-skill. USE FOR: Aspire AppHost detected, aspire CLI, distributed app, cloud-native .NET, aspire start, aspire stop, aspire resource, aspire deploy, aspire destroy, aspire publish, aspire init, aspire new, aspire add, aspire integration list/search, aspire wait, aspire describe, aspire ps, aspire dashboard run, aspire doctor, aspire update, aspire logs, aspire otel, aspire agent init, --include-hidden, aspireify, WithBrowserLogs, custom dashboard/resource commands, .aspire/modules recovery, Playwright URL discovery. DO NOT USE FOR: non-Aspire .NET projects (use dotnet directly), Azure provisioning without Aspire (use azure-prepare), container-only repos with no AppHost, ordinary build/test tasks. INVOKES: aspire-init, aspireify, aspire-orchestration, aspire-deployment, aspire-monitoring. FOR SINGLE OPERATIONS: Route directly to the matching sub-skill.
Code quality verification gates wired into the agent lifecycle. Use this skill whenever writing, modifying, reviewing, or debugging code — including new features, bug fixes, refactors, troubleshooting, CI/CD setup, or project bootstrapping. Also use when the user mentions "quality", "testing strategy", "CI pipeline", "guardrails", "debugging", or asks how to improve code reliability. If you're writing code or trying to understand why code isn't working, this skill applies.
Use to talk to the Discord-backed OpenClaw agent/session; not for archive search.