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Found 1,095 Skills
Grounding an assistant in your app with assistant-ui copilots (@assistant-ui/react). Use when steering assistant behavior with useAssistantInstructions, feeding lazy app-state context via useAssistantContext({ getContext }), exposing rendered components with makeAssistantVisible(Component, { clickable, editable }), building two-way interactable state with useAssistantInteractable and Interactables(), or registering instructions and tools imperatively through useAui().modelContext().register({ getModelContext }). Reach for this when the assistant should read the current page, click or edit UI, or read and update component state through auto-generated update_{name} tools. For LLM tools and tool-call UI use the tools skill; for runtime and thread state use the runtime skill.
Crear o actualizar Architecture Decision Records (ADRs) en docs/adr/. Activar siempre que el usuario quiera documentar, registrar, actualizar o cambiar el estado de una decisión arquitectónica — incluso si no usa la palabra "ADR". Frases que activan este skill: "registrar decisión", "documentar por qué usamos X", "dejar constancia de esta elección técnica", "decision record", "cambiar ADR a Accepted", "marcar como Superseded", "crear ADR", "actualizar ADR", "nuevo ADR", "ADR-XXX". Usar también cuando el usuario describa una tensión arquitectónica que deba quedar documentada.
Use whenever you need an email address to receive something and then read or wait for it, especially during a signup or login flow. PROACTIVELY, and you can usually do this without asking the user first: a service is about to send a verification code, OTP, one-time code, 2FA or two-factor code, confirmation link, magic link, or password reset and you need to wait for it and read the value out; you are signing up for or registering with a service and must confirm an email address to continue; you need a fresh, managed, throwaway, or burner address instead of using a real one; you sent something and need to watch for what lands. REACTIVELY: the user asks "did it arrive?", "check the inbox", "what came in?", "wait for the email", or wants an address to catch replies, codes, receipts, or alerts. Provides a managed `*.primitive.email` address plus `primitive emails latest` and `primitive emails wait` to read and block for mail, and hosted Functions to run JavaScript on every inbound message. No SMTP, no DNS, no mail server. Use this when a third party sends mail TO you; to send your own message and wait for its reply, use the primitive-chat skill. Gets a free `*.primitive.email` address via `primitive agent start-agent-signup` if you do not already have one. Part of the Primitive CLI (Primitive, primitivedotdev, primitive.dev; the `primitive` or `prim` command).
THE workflow for picking up and carrying ONE ticket/card forward, for an autonomous worker agent or for a human doing it locally. Resolves the repo's tracker from the AFK registry (~/.claude/afk.json; GitHub Projects or Linear), picks one ticket by priority, routes by status x label (interview / human walkthrough / execute), loads LEARNINGS.md as binding constraints, implements test-first, verifies end-to-end and simplifies the diff (the /go finish), then branches to a PR for the reviewer. Use when the user says "pick up <id>", "work on issue <id>", invokes /engineer, invokes /pickup, says "pickup", or at the very start of working any card.
AI SDLC installation diagnostics and safe upgrade planning. Use when an AI assistant needs to inspect harness prerequisites, repository layout, module and skill registration, detect actionable installation problems, compare versioned file inventories, preview additions/modifications/removals/schema migrations, or produce backup and rollback plans without applying an upgrade. Supports `--quick-flow` and `--full-flow`.
Use when one Python service must send each agent's, tenant's, team's, or request's spans to its correct Arize space and project using application metadata. Covers dynamic OpenTelemetry routing for custom agent builders and multi-tenant applications, including register_with_routing, set_routing_context, multi-space tracing, and custom span routing.
Run a managed pentest of a web app or API through the app.strix.ai REST API — no local Docker, LLM key, or install needed. Create an API token, register domain/repository assets, launch and poll scans, triage vulnerabilities, export SARIF, download PDF/DOCX pentest reports for SOC 2 and other compliance evidence (Enterprise plan), start PR reviews, and set up schedules and webhooks. Use when the user wants continuous or scheduled pentesting-as-a-service, an auditor-ready pentest report, scans tracked in a team dashboard, or security testing from a sandboxed agent/CI environment with no infrastructure.
Quick setup for Umbraco extension development - creates instance, extension, and registers it
Implementing providers for Beluga AI v2 registries. Use when creating LLM, embedding, vectorstore, voice, or any other provider.
This skill should be used when the user asks about Bootstrap forms, Bootstrap form controls, Bootstrap input fields, Bootstrap select, Bootstrap checkboxes, Bootstrap radio buttons, Bootstrap switches, Bootstrap range inputs, Bootstrap input groups, Bootstrap floating labels, Bootstrap form validation, Bootstrap form layout, how to create Bootstrap forms, needs help with form styling and validation in Bootstrap, wants to create a form, add form validation, style form inputs, make an inline form, add floating labels to inputs, create a login form, build a registration form, or validate user input.
Generate Chi router implementations following GO modular architechture conventions (Chi router from bricks package, Fx DI with chi.Route interface, REST endpoints). Use when creating HTTP route registration for resources in internal/modules/<module>/http/chi/router/ including REST routes (GET, POST, PUT, DELETE) for CRUD operations, custom endpoints, versioned APIs, and route groups.
Convert mixed-format datasheets and hardware reference files (PDF, DOCX, HTML, Markdown, XLSX/CSV) into normalized Markdown knowledge files for AI coding agents. Use when a user asks to ingest datasheets, register maps, pinout/timing sheets, revision histories, or internal hardware notes before searching datasheet content or generating code. Produce RAG-ready section chunks, anchors, image references, and metadata under .context/knowledge.