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Found 70 Skills
Create and modify NeMo AutoModel training and evaluation recipes, including YAML structure, builders, and execution flow.
All-atom protein design using BoltzGen diffusion model. Use this skill when: (1) Need side-chain aware design from the start, (2) Designing around small molecules or ligands, (3) Want all-atom diffusion (not just backbone), (4) Require precise binding geometries, (5) Using YAML-based configuration. For backbone-only generation, use rfdiffusion. For sequence-only design, use proteinmpnn. For structure validation, use boltz.
Design and build SuperPlane workflow canvases from requirements. Translates workflow descriptions into canvas YAML with triggers, components, edges, and expressions. Use when the user wants to create a new workflow, build a canvas, design a pipeline, or wire up components. Triggers on "build canvas", "create workflow", "design pipeline", "automate".
Saleor Configurator patterns for managing store configuration as code. Use when writing config.yml, running deploy/introspect/diff commands, understanding entity identification (slug vs name), deployment pipeline order, or debugging sync issues.
Define list views for displaying Steedos object records in table format. List views are .listview.yml files in objects/{name}/listviews/. Covers column configuration, filter operators and conditions, date-based filters, searchable fields, sorting, mobile columns, view types (grid, calendar, kanban), crud_mode, shared settings, and filter scope.
Utiliza esta habilidad cuando el usuario quiera crear, modificar o analizar una nueva "Skill" (habilidad) para Antigravity. Proporciona instrucciones sobre estructura de carpetas, YAML y Markdown.
Create and debug Home Assistant automations, scripts, blueprints, and Jinja2 templates. Use when working with triggers, conditions, actions, automation YAML, scripts, blueprints, or template expressions. Activates on keywords: automation, trigger, condition, action, blueprint, script, template, jinja2.
Deploys and monitors TrueFoundry batch jobs, scheduled cron jobs, and one-time tasks. Uses YAML manifests with `tfy apply`. Use when deploying jobs, scheduling cron tasks, checking job run status, or viewing execution history. For listing job applications, use `applications` skill.
Generates detailed implementation plans with milestones and tasks from business and technical requirements. Embeds best practices including task sizing (30m-2.5h), style anchors, TDD requirements, and quality constraints. Outputs milestones.yaml and milestone-m*.tasks.yaml files ready for development.
CrewAI agent design and configuration. Use when creating, configuring, or debugging crewAI agents — choosing role/goal/backstory, selecting LLMs, assigning tools, tuning max_iter/max_rpm/max_execution_time, enabling planning/code execution/delegation, setting up knowledge sources, using guardrails, or configuring agents in YAML vs code.
Check whether AutoDeploy YAML configs were actually applied by analyzing server logs and optionally graph dumps (AD_DUMP_GRAPHS_DIR). Use when the user wants to verify config application, debug config issues, or check if AutoDeploy transforms (piecewise CUDA graph, multi-stream, sharding, fusion, etc.) were applied or fell back. Triggers on: "check config", "verify config", "ad-conf-check", "were my configs applied", "config not working", "check if piecewise is enabled", "check log for config", or any request to compare AD YAML settings against runtime behavior.
Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use rag-blueprint).