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Found 10,508 Skills
Run a generic Vast.ai API lifecycle from offer search to teardown with safety checks and reproducible request steps. Use when users need to list/filter offers, create instances, attach SSH keys, poll readiness, stop/destroy instances, or inspect billing/usage, and when required runtime fields (image, instance type, API key source) should be collected in dialog with default suggestions.
Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.
Retrieves MLflow traces using CLI or Python API. Use when the user asks to get a trace by ID, find traces, filter traces by status/tags/metadata/execution time, query traces, or debug failed traces. Triggers on "get trace", "search traces", "find failed traces", "filter traces by", "traces slower than", "query MLflow traces".
Manage .flow/ tasks and epics. Triggers: 'show me my tasks', 'list epics', 'what tasks are there', 'add a task', 'create task', 'what's ready', 'task status', 'show fn-1-add-oauth'. NOT for /flow-next:plan or /flow-next:work.
Phase-level implementation workflow for builder agents. Handles reading phase files, finding references, invoking domain skills, implementing all steps, and running verification (tests + typecheck). Preloaded into builder agents via skills: field — not user-invocable.
Analyzes an MLflow session — a sequence of traces from a multi-turn chat conversation or interaction. Use when the user asks to debug a chat conversation, review session or chat history, find where a multi-turn chat went wrong, or analyze patterns across turns. Triggers on "analyze this session", "what happened in this conversation", "debug session", "review chat history", "where did this chat go wrong", "session traces", "analyze chat", "debug this chat".
Analyzes a single MLflow trace to answer a user query about it. Use when the user provides a trace ID and asks to debug, investigate, find issues, root-cause errors, understand behavior, or analyze quality. Triggers on "analyze this trace", "what went wrong with this trace", "debug trace", "investigate trace", "why did this trace fail", "root cause this trace".
Work with the Webflow Designer API — either by building Designer Extensions (iframes inside the Webflow Designer) or by generating code snippets for the Designer API Playground. Covers element manipulation, styles, components, pages, variables, assets, error handling, CLI usage, and UI design patterns. Use when creating, debugging, or modifying Designer Extensions, OR when the user wants to run Designer API code in the Playground app.
Orchestrate full development workflow. Use when implementing features, starting structured development, or user mentions "workflow" or "implement issues".
Automatización de flujos de trabajo: Git workflows, migraciones de BD, CI/CD, Terraform, Docker.
Test-driven development methodology — red-green-refactor cycle, writing failing tests first, minimal implementation, and iterative refinement. Use when implementing features test-first, when the user asks for TDD, or when writing tests before code.
Execute git and GitHub operations through Grove Wrap (gw) with safety-tiered commands, Conventional Commits, and agent-safe defaults. Use when making commits, managing branches, working with PRs/issues, or performing any version control operations.