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Found 2,806 Skills
This skill should be used when the user asks to "build background agent", "create hosted coding agent", "set up sandboxed execution", "implement multiplayer agent", or mentions background agents, sandboxed VMs, agent infrastructure, Modal sandboxes, self-spawning agents, or remote coding environments. Part of the context engineering skill suite — also activates when the user mentions "context engineering" or "context-engineering" in the context of agent deployment and execution infrastructure.
Customer Relationship Management (CRM) vertical skill for the Customware SPA. Defines the section layout, entity views, and mapping rules for transforming a DOMAIN.md into a CRM tool. Use this skill when the Builder Agent classifies a customer's domain as contact management, sales pipeline, deal tracking, or customer relationship workflows. Trigger signals: contacts, leads, deals, pipeline, follow-ups, opportunities, accounts, customer data everywhere, can't track who talked to whom, sales process, referrals.
Trades Operations vertical skill for the Customware SPA. Defines the section layout, config schema, and mapping rules for transforming a DOMAIN.md into a trades operations tool. Use this skill when the Builder Agent classifies a customer's domain as construction, field service, or trades project tracking. Trigger signals: estimates, job specs, scope items, square footage, field scheduling, subtrade payments, trade invoices, customer invoices, project stages, crew tracking.
Define initial seed data for Steedos objects using .data.json, .data.yml, or .data.csv files in main/default/data/. Records are imported on service startup (insert-only) and on space initialization (upsert). Covers file naming, record structure, _id requirement, template variables (${space_id}, ${space_owner_id}), EJSON date format, and import behavior (onlyInsert vs upsert).
Implement end-to-end Medallion Architecture (Bronze/Silver/Gold) lakehouse patterns in Microsoft Fabric using PySpark, Delta Lake, and Fabric Pipelines. Use when the user wants to: (1) design a Bronze/Silver/Gold data lakehouse, (2) set up multi-layer workspace with lakehouses for each tier, (3) build ingestion-to-analytics pipelines with data quality enforcement, (4) optimize Spark configurations per medallion layer, (5) orchestrate Bronze-to-Silver-to-Gold flows via notebooks. Triggers: "medallion architecture", "bronze silver gold", "lakehouse layers", "e2e data pipeline", "end-to-end lakehouse", "data lakehouse pattern", "multi-layer lakehouse", "build medallion", "setup medallion".
Use when an approved plan exists and needs execution, or when a hotfix/one-sentence scope needs direct TDD implementation — dispatches subagents per task, validates, reports
This skill should be used when interacting with Google Workspace services via the gws CLI — Gmail (search, triage, send, labels, filters, drafts), Calendar (agenda, events, Meet conferencing), Drive (upload, list, share, download), Sheets (read, append), Docs, Tasks, Chat (send), People/Contacts, and cross-service workflows (standup, meeting prep, weekly digest, email-to-task). Triggers on queries like "check my email", "search Gmail", "send email", "calendar agenda", "create calendar event", "upload to Drive", "read spreadsheet", "create a task", "triage inbox", "find contact", "post to Chat".
Bootstrap the session into a team position. Loads the position profile from `ai-workspace/team/<name>.md`, loads sibling state directory if present (PLAYBOOK + DECISIONS), runs the position's session-start sequence. Use when a teammate session needs to assume a persistent role identity.
Interactive macOS system cleanup for any dev machine. Frees disk space by pruning caches, package managers, unused apps, stale dev artifacts, and more. Discovers what's installed rather than assuming a specific setup. Always consults the user before deleting anything. Use when the user asks to: clean up their Mac, free disk space, remove unused apps, prune caches, clean developer artifacts, or any disk space maintenance task.
Offer same-day local delivery with geographic zone management, customer-facing time-slot booking, and driver dispatch coordination
Range integration. Manage Workspaces. Use when the user wants to interact with Range data.
Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets. Use when running auto-research campaigns, experiments, training jobs, model or dataset downloads, shared cache-heavy commands, log-producing runs, checkpoint generation, W&B or Hugging Face authenticated workflows, or any workflow that may create large files on Brev.