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Found 1,316 Skills
Copilot agent that assists with requirements analysis, user story creation, specification definition, and acceptance criteria definition Trigger terms: requirements, EARS format, user stories, functional requirements, non-functional requirements, SRS, requirement analysis, specification, acceptance criteria, requirement validation Use when: User requests involve requirements analyst tasks.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Specify micro-interactions with trigger, rules, feedback, and loop/mode definitions.
Write a feature spec or PRD from a problem statement or feature idea. Use when turning a vague idea or user request into a structured document, scoping a feature with goals and non-goals, defining success metrics and acceptance criteria, or breaking a big ask into a phased spec.
Use when decisions could affect groups differently and need to anticipate harms/benefits, assess fairness and safety concerns, identify vulnerable populations, propose risk mitigations, define monitoring metrics, or when user mentions ethical review, impact assessment, differential harm, safety analysis, vulnerable groups, bias audit, or responsible AI/tech.
oRPC (v1.12+) typesafe API layer for TypeScript. Covers contract-first development, procedure definition, middleware, routers, context, error handling, Hono integration, TanStack Query, event iterators, plugins, file uploads, WebSocket adapter, and best practices. Use when building or modifying API procedures, data fetching hooks, server handlers, or real-time features. Triggers on tasks involving oRPC, typesafe APIs, RPC procedures, or server route handlers.
Design and create a new hive task through guided conversation. Walks the user through problem definition, eval design, constraint specification, repo scaffolding, baseline testing with iteration, and upload. Use when user wants to create a new task, add a benchmark, or publish a challenge to the swarm.
Create LinkedIn ad campaigns, write sponsored content, define professional audiences, and plan B2B advertising budgets. Use when the user asks about LinkedIn Ads, sponsored content, LinkedIn Campaign Manager, InMail ads, lead gen forms, B2B advertising, professional targeting, or LinkedIn retargeting. Trigger phrases include "LinkedIn Ads", "LinkedIn campaign", "sponsored content", "InMail ad", "LinkedIn lead gen", "B2B ads", "LinkedIn retargeting", "LinkedIn audience", "LinkedIn ad copy", "LinkedIn Campaign Manager".
Enonic XP server-side JavaScript/TypeScript API reference for all /lib/xp/* libraries. Provides function signatures, parameters, return types, and usage examples for lib-content, lib-node, lib-auth, lib-portal, lib-context, lib-event, lib-task, lib-repo, lib-io, lib-mail, and lib-schema. Use when looking up Enonic XP library functions, parameter shapes, return types, or usage examples. Do not use for Guillotine GraphQL queries, content type schema definitions, Enonic CLI commands, or non-Enonic JavaScript APIs.
Interpreted crypto wallet data for AI agents. Use when an agent needs portfolio values, token positions, DeFi positions, NFT holdings, transaction history, PnL data, token prices, charts, gas prices, swap quotes, or DApp information across 41+ chains. Zerion transforms raw blockchain data into agent-ready JSON with USD values, protocol labels, and enriched metadata. Supports x402 pay-per-request ($0.01 USDC on Base) and API key access. Triggers on mentions of portfolio, wallet analysis, positions, transactions, PnL, profit/loss, DeFi, token balances, NFTs, swap quotes, gas prices, or Zerion.
Construct comprehensive Investment Policy Statements governing return objectives, risk tolerance, and portfolio constraints. Use when the user asks about building an IPS, setting return objectives, assessing risk tolerance, defining investment constraints, or establishing rebalancing and benchmark policies. Also trigger when users mention 'investment plan', 'policy portfolio', 'risk capacity vs willingness', 'spending rate for an endowment', 'foundation payout', 'manager selection criteria', or ask how to document their investment strategy.
Odoo frontend JavaScript patterns for website themes. Covers publicWidget framework (complete pattern with editableMode handling), Owl v1/v2 component patterns, _t() translation best practices, Bootstrap 4-to-5 migration, version detection, and critical development rules. Supports Odoo 14-19. <example> Context: User wants to create a publicWidget user: "Create a publicWidget for my Odoo website" assistant: "I will create a publicWidget with editableMode handling and proper cleanup." <commentary>publicWidget creation.</commentary> </example> <example> Context: User asks about Owl components user: "How do I create an Owl component in Odoo 18?" assistant: "I will show the Owl v2 pattern with static template and props." <commentary>Owl component pattern.</commentary> </example> <example> Context: User needs help with translations user: "How do I translate JavaScript strings in Odoo?" assistant: "Use _t() at DEFINITION TIME for static labels, not runtime wrappers." <commentary>Translation best practices.</commentary> </example> <example> Context: User migrating Bootstrap classes user: "Convert Bootstrap 4 classes to Bootstrap 5 for Odoo 17" assistant: "Replace ml-* with ms-*, mr-* with me-*, text-left with text-start." <commentary>Bootstrap migration.</commentary> </example>