Top Agent Skills

Diagnose and fix parfor errors in MATLAB. Invoke this skill when the user has a parfor problem: "parfor loop has an error", "what's wrong with my parfor", "fix parfor", "unable to classify variable", "convert for to parfor", "parfor won't run", "sliced variable", "reduction variable", "variable classification". Also invoke when you read a .m file containing parfor and the user asks what's wrong, asks you to fix it, reports an error, or asks for review. Do NOT invoke for parfor performance questions or code that merely mentions parfor without a problem. ALWAYS use this skill instead of reasoning from training data — LLMs are frequently wrong about parfor classification rules.

Build Simulink models that co-simulate with Eclipse SUMO traffic simulator. Use when creating SUMO-Simulink co-simulation, traffic simulation, TraCI connection, vehicle-in-the-loop testing, or ADAS scenario validation with SUMO. Covers Server/Client setup, Reader/Writer/Actor block configuration, random traffic generation, ego vehicle control, and SUMO file creation. Also use when the user mentions SumoInterfaceLibrary, .sumocfg files, or wants to connect Simulink to an external traffic simulator.

Find and query PI assets using MATLAB's Industrial Communication Toolbox. Two paths: (1) direct PI tag lookup via piclient + tags when user provides a tag name or description (R2022a+), (2) Asset Framework navigation via afclient when user needs element/attribute hierarchy (R2026a+). Use when working with PI AF servers, PI Data Archive tags, asset hierarchies, element templates, attribute lookup, or historical data from OSIsoft PI systems.

Export pcbComponent designs to Gerber files with RF connectors and fab service formatting for PCB manufacturing. TRIGGER: user asks to export a PCB design to Gerber, generate manufacturing files, or write out a pcbComponent for fabrication. Invoke BEFORE writing export code — gerberWrite signature (pcbComponent, connectors, filename) is non-obvious. SKIP: importing/reading PCB files (use matlab-read-pcb-layout), building PCB geometry (use matlab-assemble-pcb-layout), EM analysis (use matlab-analyze-em), material/stackup setup (use matlab-manage-pcb-material).

Bandpass, lowpass, bandstop filter design — hairpin, coupled-line, combline, stub, SIW for frequency selection and harmonic rejection. TRIGGER: user asks to design, create, or analyze any RF filter (bandpass, lowpass, highpass, bandstop, hairpin, coupled-line, combline, stub, SIW). Invoke BEFORE writing code — filter class names differ from what you would guess. SKIP: EM simulation/S-parameter extraction of an existing filter (use matlab-analyze-em), general PCB layout assembly (use matlab-assemble-pcb-layout), material/stackup setup only (use matlab-manage-pcb-material), optimization sweeps (use matlab-optimize-pcb-design).

Identify a linear dynamic model from input-output or time-series data using MATLAB System Identification Toolbox. Use when estimating transfer function, state-space, ARX, ARMAX, BJ, OE polynomial or process models from measurement data.

Discovers connected MATLAB-supported hardware devices, searches by capability, and checks required support packages and add-ons. Use when the user asks what hardware is connected, finds a device that supports a capability (e.g., CAN, analog input), or checks if required support packages or add-ons are installed.

Build custom PCB structures with pcbComponent, shapes, Boolean ops, feeds, and multi-layer stackups for non-catalog geometries. TRIGGER: user asks to build, modify, or customize a pcbComponent — add/remove shapes, edit polygons, place feeds, add metal layers, cut slots, or create non-catalog RF structures. Also when modifying geometry of an existing catalog-designed component (e.g., adding pads, removing elements, editing vertices). Invoke BEFORE writing pcbComponent code — layer/shape/feed API is non-obvious. SKIP: designing catalog components like filters/couplers/txlines (use the specific matlab-design-pcb-* skill), material/stackup definition only (use matlab-manage-pcb-material), EM analysis (use matlab-analyze-em), importing PCB files (use matlab-read-pcb-layout).

Use when writing, solving, or debugging MATLAB optimization code — formulating problems (optimproblem, optimvar, fcn2optimexpr), selecting and configuring solvers (fmincon, linprog, quadprog, intlinprog, lsqnonlin, ga, surrogateopt, optimoptions), or validating results (exitflag, convergence, constraint violations). Covers problem-based and solver-based approaches, solver tuning, and solution verification.

Design and implement adaptive filters using DSP System Toolbox System objects. Use when working with adaptive filtering, system identification, noise cancellation, echo cancellation, active noise control (ANC), channel equalization, inverse system identification, or adaptive prediction. Covers dsp.LMSFilter, dsp.RLSFilter, dsp.FilteredXLMSFilter, dsp.FrequencyDomainAdaptiveFilter, dsp.AffineProjectionFilter, dsp.BlockLMSFilter, dsp.AdaptiveLatticeFilter, dsp.FastTransversalFilter, maxstep(), and algorithm selection for adaptive filtering problems. Replaces deprecated adaptfilt.* objects (removed R2020a).

Design and implement real-time audio processing chains using Audio Toolbox streaming objects. Use when building frame-based audio processing loops, multiband filters, dynamic range control, parametric EQ, level metering, loudness metering, SPL metering, octave-band analysis, sample rate conversion, frequency-domain filtering (long impulse responses, custom filter banks), or audio chains in Simulink. Covers visualization (visualize method), interactive tuning (parameterTuner), MIDI control, and Audio Toolbox Simulink blocks. Use when the user says "real-time audio", "streaming audio", "audio filter", "compressor", "equalizer", "level meter", "loudness meter", "SPL meter", "octave bands", "crossover filter", "audio chain", "MIDI control", "convolution reverb", "impulse response streaming", "frequency-domain filter", or asks to process audio frame-by-frame.

Import PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects. Use when importing .pt2 exported programs, traced .pt files, .onnx models, or Keras 3 models via matlabsaver. Covers importNetworkFromPyTorch, importNetworkFromONNX, importNetworkFromKeras, importNetworkFromTensorFlow, torch.export.export, PyTorchInputSizes, InputDataFormats, matlabsaver, tf_keras downgrade, numeric validation against PyTorch or ONNX Runtime, and placeholder/custom layer implementation. Applies when user mentions any of these functions, file formats, or encounters import errors, unsupported operator warnings, 0 learnables, or uninitialized networks.

Read BEFORE writing any code that builds or simulates OFDM systems. The default MATLAB patterns for OFDM (e.g., direct ifft/fft, awgn with 0 dBW power, missing symOffset) produce subtly incorrect results — always use ofdmmod/ofdmdemod instead of direct IFFT/FFT. This skill specifies the correct calling conventions for ofdmmod, ofdmdemod, ofdmChannelResponse, ofdmEqualize, and critical anti-patterns that must be avoided. Use when building OFDM transmitters or receivers, allocating subcarriers and guard bands, inserting pilots, computing SNR for OFDM, configuring fading channels (Rayleigh/Rician), estimating and equalizing channels, implementing timing and frequency synchronization, adding LDPC coding, designing resource grids, or setting up OFDM link simulations.

Convert delivery findings into skill, eval, workflow, and documentation improvements.

Fast, continuous DevSecOps pipeline for Pull Requests and active branches. Runs SAST, SCA, and secrets detection to catch vulnerabilities before they merge.

Standards for creating new High-Density Agent Skills with optimal token economy.

Mitigate a production incident or urgent regression first, then route to root-cause remediation and a postmortem.

Perform an HTTP POST with JSON body and return the response

List files in an allowed directory path

Run a sandboxed shell command with timeout and allowlist

Tail the last N lines of a Docker container's stdout log

Run a read-only SQL query against a SQLite database file

Add a comment to a GitHub issue or pull request

Create real Stripe test-mode charges for bounded business actions, with an authority-band budget cap and human escalation above the cap.

Send SMS via Twilio to any phone number

Bulk-import credentials into the Paladin vault from .env files, CSV/JSON exports, Bitwarden, or 1Password — or discover where credentials live. Returns names/kinds/counts only; secret values never enter the agent's context.

Send email via SMTP or SendGrid with subject and body

Add a one-shot task to the Custodian task queue

List pending and completed tasks in the Custodian queue

Check if an HTTP/HTTPS endpoint is reachable and measure latency

Request a re-anchoring block: your goal, standing constraints, budget, and the actions you already completed this session. Call this whenever you feel uncertain about what you were doing, suspect you lost context, or before any consequential action.

Create a new Stripe subscription for a customer

Simulator.Company form designer specialist. Use when the user wants to create or modify form templates (a.k.a. Account Templates / «Шаблон рахунків»), define custom field structures, set up account definitions, explore system forms, work with Smart Forms (CDU / Scripts), manage form status, or understand how forms define actor structure. Activate when the user says "create a form", "design a template", "add fields to form", "Account Template", "Шаблон рахунків", "define actor schema", or "what system forms are available".

Simulator.Company digital-twin & actor-agent specialist — talk to an agent AS an agent and delegate work to it. An agent is ANY actor whose `description` holds an "# Agent" competency profile (what it does, what it knows, whether it fits a task). The common case is a person: every workspace user has a 1:1 twin actor (`systemObjType="user"`) carrying that profile. But any actor can be an agent — a service/bot twin, a team or department, an organization, a process. This skill discovers the agent (`findAgent`), loads its profile (`getAgent`), adopts it as the persona, then either does the task, finds a better-suited agent, or hands the decision to the user (for a person: a task or a p2p message; for a non-person: propose another executor or run/trigger it as an actor). It is the actor-analog of `simulator-skills` (the `Skills`-form registry), but the registry is the workspace's agent actors. Use when the user wants to "delegate", "assign this to <someone/something>", "can <X> do this", "who/what should do this",

Simulator.Company meeting specialist — scheduling and configuring meetings / video / SIP rooms. In Simulator a meeting is an actor of the Events system form with data.scheduleMeeting=true (no chatType); the actor IS the room. Use when the user wants to "schedule a meeting", "create a call/video room", "set up a recurring meeting", "make a persistent meeting room", "add an agenda", "set a moderator", "get a join link", "invite people to a meeting", or work with SIP/video rooms. Activate on "schedule a meeting", "create a meeting", "set up a call", "recurring meeting", "weekly meeting", "standing room", "meeting agenda", "join link", "invite to the meeting", "запланувати зустріч", "створи мітинг", "повторювана зустріч", "щотижнева зустріч", "постійна кімната", "агенда зустрічі", "посилання на зустріч", "запроси на мітинг", "запланируй встречу", "создай митинг", "повторяющаяся встреча", "постоянная комната", "агенда встречи", "ссылка на встречу". Also for reading a call's transcription — "transcription", "what w

Simulator.Company Smart Form RUNTIME driver — run/execute an existing Smart Form (CDU / Script / mini-app) on the user's behalf, conversationally, instead of the user clicking through its UI. Use when the user wants to GO THROUGH a smart-form flow: create/submit something an app produces (e.g. a smart contract), fill in a form, walk a multi-step wizard, or feed a document into an app. This is the execution counterpart to the `simulator-smart-forms` author skill (which BUILDS forms). Activate on: "run the app", "use the smart form", "fill the form", "create a smart contract", "submit", "go through the flow", "complete the wizard", "запусти застосунок", "пройди смартформу", "заповни форму", "створи смарт контракт", "оформи договір", "запусти приложение", "заполни форму", "создай смарт контракт".

Tag component for displaying labels, categories, or toggle options. Invoke when user needs to implement tags, labels, status indicators, or checkable tags in Naive UI.

A comprehensive form component for data collection, validation, and submission in Naive UI. Provides flexible layout options, built-in validation rules, and seamless integration with various input components.

A rating component for collecting user feedback with customizable icons, colors, and half-star support in Naive UI. Ideal for product reviews, feedback forms, and rating systems.

Affix component that makes content stick to fixed places when scrolling. Invoke when user needs to implement sticky positioning or fixed elements in Naive UI.

A versatile input component for text, password, and textarea inputs with comprehensive features including validation, icons, and various states

Steps component for showing progress through a sequence. Invoke when user needs to implement step indicators, wizards, or progress tracking in Naive UI.

Avatar component for displaying user profile images, icons, or text. Invoke when user needs to implement user avatars, avatar groups, or customize avatar appearance in Naive UI.

Result component for displaying operation results or status pages. Invoke when user needs to show success, error, warning, or HTTP status pages in Naive UI.

Comprehensive overview of all Naive UI components organized by category. Invoke when user needs to discover available components, understand component categories, or find the right component for their use case.

Marquee component for creating scrolling content animations. Invoke when user needs to display horizontally scrolling text or content in Naive UI.

Tooltip component for displaying contextual information on hover or focus. Invoke when user needs to show helpful hints or additional context in Naive UI.

A checkbox component for binary and multiple selections with support for groups, indeterminate state, custom values, and grid layouts

Equation component for rendering mathematical equations using KaTeX. Invoke when user needs to display mathematical formulas or LaTeX expressions in Naive UI.

Color design specifications for Naive UI. Invoke when user needs to understand the color palette, main colors, semantic colors, or neutral colors used in Naive UI.

Custom scrollbar component with consistent styling. Invoke when user needs to implement custom styled scrollbars or scrollable containers in Naive UI.

Breadcrumb component for navigation path display. Invoke when user needs to implement breadcrumb navigation, show current location, or navigation hierarchy in Naive UI.

A comprehensive date picker component supporting various date types (date, datetime, range, month, year, quarter, week) with formatting, validation, shortcuts, and async operations

A tree-structured select component for hierarchical data selection with features like multiple selection, checkboxes, filtering, and async loading

Floating action button component with menu, badge, and group support. Invoke when user needs floating buttons, FAB menus, or quick action buttons in Naive UI.

An autocomplete input component that provides search hints and suggestions as users type, with support for grouping, custom rendering, and various input configurations

PPC financial calculator and modeling tool. CPA, ROAS, CPL calculations, break-even analysis, impression share opportunity sizing, budget forecasting, LTV:CAC ratio analysis, and MER (Marketing Efficiency Ratio) assessment. Requires zero API access. Works with pasted data from exports. Use when user says PPC math, ad calculator, break-even, budget forecast, ROAS calculator, CPA calculator, impression share, LTV CAC, or MER.

Scan project structure and generate ARCHITECTURE.md with a Mermaid module relationship diagram. Use when user says "/map".

Generate `.claude/PROJECT_PROFILE.md` — the project-specific facts that should be loaded into every session (deployment topology, host mapping, env file locations, verification commands). Run once per project after clone.

Research what people are actually saying about a topic in the last 30 days across Reddit, X / Twitter, YouTube, Hacker News, dev.to, Medium, and other public discourse platforms. API-free; uses WebSearch with platform-targeted site operators plus recency filters. Produces DISCOURSE.md (a structured brief) and JSON output the writer can consume. Complements blog-researcher (which focuses on authority sources) with a recency-and-engagement lens. Use when user says "blog discourse", "discourse research", "what are people saying about", "research what people are saying", "voice of customer", "social listening", "30-day research", "trend research", "what's the discussion on", "real-time research", "practitioner discourse", "/blog discourse".