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Found 9,857 Skills
Processes GCP infrastructure design and deployment workflows. Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting deployment failures. Don't use for non-GCP cloud providers, or general Terraform coding outside the ADC context.
Use when operating Inngest API resources from the terminal with `npx inngest-cli@latest api`: Cloud/local run debugging, event-run lookup, function traces, function invocation, app syncs, webhooks, environments, keys, account checks, and Insights queries. Provides prescriptive command routing for agents: which CLI command to run for a run ID, event ID, app ID, function ID, Cloud environment, API key, missing ID, or potentially mutating operation. Use `inngest-cli` for dev server setup/general CLI workflows and `inngest-api` only when raw REST API v2 docs or OpenAPI fallback are needed.
Use when building, migrating, or debugging Agent Evals on Inngest: scoring AI agent or workflow outcomes, deferred scorers, sessions, traces, step experiments, experiment variant attribution, Insights queries, or production eval loops for prompts, models, tools, providers, and agent behavior. Covers TypeScript SDK v4 scoring beta APIs, `scoreMiddleware`, `step.score`, `inngest.score`, `createScorer`, `defer`, `group.experiment`, `experimentRef`, `meta.sessions`, and when to use durable workflow primitives for outcome-based evaluation.
Router over the workflow catalog. Ask which skill or flow fits your situation and get pointed at the right one. Use when unsure where to start.
Use this skill when working with the GitLab MCP server tools for merge requests, issues, repositories, pipelines, work items, variables, dependency proxy, vulnerabilities, webhooks, search, CI catalog, and related GitLab workflows.
Comet Classic Workflow (OpenSpec + Superpowers). Used when the user explicitly calls /comet-classic, requests to start or resume Comet Classic, or resume-probe returns an active Classic change that can be unambiguously resumed.
Ask me questions within this workspace regarding the workflow requirements I want to build.
Use when one ready GitHub issue or one explicitly confirmed conversation specification needs a repository-aware implementation plan for a later implementation workflow.
Systematically diagnose and fix software bugs by analyzing error messages, stack traces, logs, and runtime behavior across multiple languages. Use when the user requests debugging or provides relevant inputs for this workflow.
Persist gotchas, preferences, or a repeated workflow from recorded agent history into AGENTS.md or a new skill. Use when the user asks to extract lessons from past sessions or turn prior agent work into a skill.
As a standard S0 pre-skill for larger page workflows like `hiui-page-workflow`, it focuses on requirement refinement for B-end back-office systems and before HiUI page generation. It transforms vague or abstract back-office/management/operation/configuration/approval workflow requirements into executable product solutions, MVP scopes, user flows, business rules, traceable page inventories, product PRDs, global generation contexts, page-level prompts, and HiUI handoff packages. It is suitable for clarifying back-office product ideas, converting rough requirements into PRDs or product solutions, breaking down work surfaces such as lists/details/editing/configuration, defining role permissions/data permissions/state machines/audit rules, and supplementing permission matrices, state transition tables, field dictionaries, exception and audit matrices, batch/import-export specifications, and legacy system transformation and release strategies when needed; it also acts as a B-end product expert to provide judgments including business value decomposition, priority suggestions, solution trade-offs, multi-tenant/version/activation models, master data and system boundaries, anti-pattern identification and risk prompts, continuously turning vague B-end requirements into implementable inputs; when requirements arise in existing projects/repositories, it is also used to perform context-aware requirement refinement combining the current repository's pages, modules, interfaces, types, and documents.
Coordinate a high-fidelity Figma-to-code workflow for screens, layouts, drawers, dialogs, or component groups. Use when Codex receives one or more Figma URLs or node IDs and must decide how to extract exact design intent, split work into reusable components, route implementation safely, and keep conversion and apply work aligned with the local design system and verification constraints.