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Found 12,159 Skills
Clean and finalize authorized natural-language text intended for readers by auditing suspicious invisible Unicode and rewriting prose while preserving facts and meaning. Use in Cursor when the user asks to clean, humanize, polish, or finalize articles, manuscripts, reports, documentation, emails, product copy, UI text, Markdown, or HTML prose, or when an installed Cursor Rule explicitly requires this workflow. Do not use for code-only tasks or undisclosed authorship evasion; leave code, commands, identifiers, paths, APIs, formulas, citations, required disclosures, and verbatim quotations unchanged.
Generate targeted test scenarios for a LiveKit voice or chat agent and run them as simulations — locally, from the agent's own code plus what the user wants stress-tested. Use whenever the user wants to "test my agent", "what should I test", "create/generate simulation scenarios", "make a sim test suite", "use lk agent simulate", "stress-test the X flow", "set up scenarios for my agent", or wants to probe edge cases / refusals / regressions before shipping. Generates scenarios on the user's machine (their code is never uploaded) and lets the user deeply steer what gets tested. Trigger even without the word "simulation" when the user clearly wants to decide what to test and verify how their agent behaves across realistic conversations. Not for building a new agent from scratch (use the livekit-agents skill), load-testing, or ordinary unit tests.
Use eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.
Projetar e revisar CI/CD, artefatos, releases, promoções, migrations, rollout, rollback e supply chain. Use para pipelines, workflows, ambientes, deploys ou estratégia de entrega; use também para escolher entre rolling, blue-green, canary ou feature flag; não publique, promova ou altere produção sem autorização explícita, e para a métrica que decide o rollout use `$specsfy-specialist-observability`.
Set up a GitHub repo's metadata through the gh CLI: an inferred one-line About description + topics from the repo's own contents, and the issuekit lifecycle and priority labels. Use when the user says "repokit", "set the repo description", "add topics/tags", "write an About blurb for this repo", "provision the workflow labels", "set up this repo's labels", "add priority labels", or "configure this repo's metadata", meaning anything about a repo's About panel or its label vocabulary.
Extract component metadata from a Figma design system and generate production-ready QML controls. Use this skill whenever someone wants to turn Figma components into QML files — whether they say "generate components from Figma", "create QML controls based on a design system", "convert Figma components to QML", "build the component library", "extract button/input/checkbox from Figma", or anything similar. Requires design-tokens.json and QML design system singletons to already exist (from the token extraction skill). Uses Figma MCP to inspect components one at a time and maps variants, states, sizing, and token usage to idiomatic Qt Quick Controls 2 patterns. Trigger this skill at the component generation step of any QML design-system workflow.
Use when you know what component, flow, or interface you need but not yet the right accessibility approach. Best for turning WCAG 2.2 requirements into an accessible implementation plan with WAI-ARIA APG patterns before code hardens bad interaction and state patterns.
Serves AI models on AMD Instinct GPU hardware using vLLM. Use this skill whenever the user wants to run, serve, deploy, start, host, or launch a language model on an AMD GPU, AMD Instinct, MI300X, MI325X, MI350X, or MI355X. Also use when the user mentions vLLM on ROCm, vLLM on AMD, serving on HBM, or asks how to get a model running on AMD data center hardware. Use when the user asks "run Qwen3", "serve DeepSeek", "start a vLLM endpoint", "get a model running on my AMD machine", or any similar phrasing. Handles the full flow: GPU detection, environment validation, vLLM configuration, launch, and health verification. Do not use for NVIDIA GPUs, consumer AMD GPUs (RX series, Radeon), Ryzen AI, NPU, MI250X, or MI100.
(NS) Playwright reverse-prototyping face — capture live UI, then create or evolve a single prototype/ tree (git history; never v1/v2 copies). Use when prototyping from a URL, reversing a screen into prototype/, evolving an existing prototype, AS-IS flows/fields, or "prototype this app/page". Do NOT use for normative appearance MDs only (ns-proto-visual-guide), full SDD (ns-spec-driven), bare code fixes (ns-coder), or brownfield prepare (/ns-harness prepare).
Audit a feature spec against the actual implementation to find where behaviours or user-flow contracts no longer match the code. Use when the user says "is this spec still accurate", "check the spec against the code", "I think this wizard bypasses the documented flow", or before relying on a spec that hasn't been touched in a while. Reports only. Pairs with spec-assess-coverage, which asks whether tests exist.
UiPath platform ops via the uip CLI — use for ANY task hitting UiPath Cloud / Orchestrator / Studio Web / Integration Service / Data Fabric / LLM Gateway. Load BEFORE writing code that calls a UiPath API. Covers auth, folders, assets, queues, storage buckets, libraries, webhooks, triggers, processes, jobs, machines, users, roles, sessions, calendars, IS connectors/connections/activities, Data Fabric entities/records/files/choice-sets (`uip df`), BYO LLM product configurations, BYO guardrail (BYOG) configurations, context grounding, traces (execution traces and spans + trace feedback / annotation), licensing. For 'why did X fail' / root-cause→uipath-troubleshoot. For org/tenant audit trail / audit logs / login history→uipath-admin. For `uip solution` lifecycle→uipath-solution. For PDD/SDD design→uipath-planner. For workflow code (.xaml/.cs)→uipath-rpa, .flow (incl. Data Fabric connector nodes)→uipath-maestro-flow, .bpmn→uipath-maestro-bpmn, agents (.py/agent.json)→uipath-agents, Test Manager→uipath-test.
UiPath governance via `uip gov` — author, deploy, and diagnose policies on three layers. AOps product policies (`uip gov aops-policy`): block/restrict/enforce features in Studio, StudioX, Assistant, Robot, AI Trust Layer, Agent Builder; deploy to user/group/tenant. Access ToolUsePolicy (`uip gov access-policy`): allow/deny when one workflow invokes another as a tool (Agent→Agent/Maestro/Flow/RPA/API/Case), gated by tag, caller, or actor (User/Group). Compliance Standards (ISO 42001): check posture and configure recommended settings across products in one operation. Operate: deploy/undeploy, query effective deployed policy. Diagnose: policy not taking effect, deployment precedence (user>group>tenant), blocked tool invocations. For platform ops→uipath-platform.