Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
Switch existing text-to-speech code from OpenAI TTS (audio.speech) or ElevenLabs to Svara TTS Turbo, usually by changing only the base URL and API key, or port it to the native svara-voice SDK for lower latency. Use when the user wants an OpenAI TTS or ElevenLabs alternative, cheaper or more multilingual TTS, better Hindi or Indian-language voices, or asks to replace, compare or A/B test TTS providers in Python or JavaScript.
Turn long text into narrated audio with Svara TTS Turbo, such as audiobooks, article and blog read-alouds, course and e-learning narration, YouTube or explainer video voiceovers, podcasts and news briefings, with optional SRT subtitles from word timestamps. Use when the text is longer than one request (5,000 characters), when audio must be produced in batch, when the user needs captions or karaoke highlighting synced to speech, or for narration in Indian and other languages.
Speak Indian, African, Asian and other non-English text naturally with Svara TTS Turbo, which covers 82 languages and switches automatically inside mixed-script text such as Hinglish (Hindi plus English). Use for Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, Urdu, Bhojpuri, Arabic, Swahili, Yoruba, Japanese and other language TTS; for code-mixed text; for forcing a language or normalising numbers and dates; and for fixing the pronunciation of brand names and acronyms with pronunciation dictionaries.
Generate phone-quality speech with Svara TTS Turbo for calls, IVR menus and voice bots, as native 8 kHz G.711 mu-law/A-law with no transcoding. Use when the user is building a phone agent, IVR prompts, call-center or outbound calling bot, or is integrating TTS with Twilio Media Streams, Plivo, Vobiz, Telnyx, Exotel, Asterisk/FreeSWITCH or LiveKit SIP, including Hindi and other Indian-language phone lines.
Build low-latency conversational voice agents and voice bots with Svara TTS Turbo, streaming LLM tokens straight into speech (~80 ms to first audio). Use when building a voice assistant, AI receptionist, realtime voice bot, speech output for an LLM or chatbot, or when wiring TTS into LiveKit Agents, Pipecat, or a custom WebSocket pipeline, especially for Indian or multilingual users. Covers Python (svara-voice) and raw WebSocket from JavaScript.
Find, compare and preview Svara TTS voices (320 voices, 82 languages) and choose the right voice id for a task, filtered by language, gender, age, style (calm, confident, professional, storytelling...) and quality. Use when the user asks which voice to use, wants a Hindi, Tamil, Arabic, British, Indian-English or other accent, wants a male or female voice, wants to hear voice samples, or code needs a Svara voice id (sv_...). Works without an API key.
Generate speech from text with Svara TTS Turbo (Kenpath Labs), a multilingual text-to-speech API with 320 voices and 82 languages, including 28 Indian languages, Hinglish and other mixed-script text. Use when the user wants text to speech, TTS, a voiceover, an audio file from text, spoken output for an app, streaming audio, or speech in Hindi, Tamil, Bengali, Arabic, Swahili or any other language. Covers the Python SDK (svara-voice), curl/REST, JavaScript via the OpenAI SDK, output formats and errors.
Drives development with tests using the red-green-refactor loop. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove that code works, when a bug report arrives, or when you're about to modify existing functionality.
Prepares production launches. Use when preparing to deploy to production, or when asking what needs to be in place before shipping. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch. Use when asked to review a diff or a pull request, even when the diff is pasted inline.
Write, adapt, or troubleshoot Kling 4.0 video prompts for text-to-video, image-to-video, references, dialogue, camera movement, and multi-shot sequences. Use when the user wants a copyable Kling prompt or help revising one; does not execute video generation.
Work with the Aerospike core database end to end — run a local instance with Docker and verify a first write and read, build or review client code with the official SDKs (Python, Node.js, Go, Java, C#), and design or review a data model, whether from requirements or against a schema that already exists. Covers namespaces, sets, bins, primary key design, TTL and NSUP, collection data types, expressions, secondary indexes, batch and scan workflows, client policies, connection pooling, record sizing, and schema deliverables. Use when the user sets up Aerospike, writes or debugs Aerospike client code, chooses keys or models data for it, reviews an Aerospike schema before building, or evaluates it as a persistent replacement for Redis or Memcached in real-time, low-latency, feature-store, or user-profile workloads. Core database only — not Aerospike Graph, and not cluster operations, sizing, XDR, or backup and restore, which belong to Aerospike Operations documentation.
The master program for producing or editing a video end to end — read this at the START of any video task (after video-router), then follow the gates and the per-line steps. Trigger for "make / edit / cut / caption / dub / animate a video"; it sequences the compose / generate / edit lines and the approval gates. Do NOT trigger for a single low-level operation (just transcribe a file, just probe a clip) — call that operation directly.
Design effective data visualizations and charts. Generate chart configurations for ECharts, Chart.js, and other libraries. Create dashboards and reports.
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
Cross-references C# Web API controllers/DTOs against their TypeScript/JavaScript consumers (React, Angular, Vue, Svelte, Node.js, or hand-written/auto-generated HTTP clients like Fetch, Axios, NSwag) to catch contract drift in both directions: backend changes that break client applications (renamed/removed JSON keys, new required parameters, status code shifts) and frontend code sending fields the backend no longer reads. Works directly against source code, not exported OpenAPI spec files. Use when the user asks to check for breaking API changes, verify frontend/backend contract sync, or audit a DTO/controller change against its TypeScript/JS consumers before merging. Not for generating new API code from a spec (see openapi-to-application-code) or scaffolding new endpoints (see aspnet-minimal-api-openapi).
Create and refine images with Eye.Art Polyphemus through its public MCP, including artist-guided images, reference edits, web visuals, editable SVG, and supported motion.
Framework for building competitive landscape decks — market positioning, competitor deep-dives, comparative analysis, strategic synthesis. Use when the user asks for a competitive landscape, competitor analysis, peer comparison, market positioning assessment, strategic review, or investment memo deck. Also triggers on "who are the competitors to X", "benchmark X against peers", "build a market map", or any request to systematically evaluate competitive dynamics across an industry.
Investigate data incidents and find root causes using Monte Carlo's
observability data. Guides the agent through systematic investigation:
alert lookup, lineage tracing, ETL checks, query analysis, and data
profiling. Activates when a user asks about data issues, incidents,
alerts, or why data looks wrong.
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to \"review since X\".
Compare screenshots against the intended design, distinguishing approved references from historical baselines. Use for iterative implementation matching, before/after visual review, objective image telemetry, or checking a lone capture for flat, empty, or badly framed content.
Make a showreel-grade motion-graphics launch video, with music, that introduces a CLI, library, or product from its repo. Use when asked for a launch, promo, sizzle, or showreel video, an animated intro for a project, or a video to post on X/social.
Create or revise agent skills. Use when adding a new skill file, renaming a skill, simplifying an existing skill, improving trigger descriptions, or deciding what belongs in a skill versus references, scripts, assets, or ordinary docs.
Analyses free-text answers from a WebAsk survey: finds themes, counts frequency and picks representative quotes. Use when someone asks to read the comments, understand what respondents write about, or summarise open answers.
Analyses the quality of leads collected by a WebAsk survey: how many reached the contact question, which questions scare people off, and how leads differ by channel. Use when a survey works as a lead form and someone asks about the number or quality of leads.
Checks the quality of collected WebAsk responses: too-fast submissions, flat-lined answers, duplicates and junk text. Use when someone doubts the data, suspects manipulation, or is preparing results to present.
Compares WebAsk survey results against each other: one questionnaire across periods, or different surveys in the account. Use when someone asks whether things improved, how ratings changed, or which survey performs better.
Compares A/B variants of a WebAsk survey and checks whether the difference is real or within noise. Use when someone asks which variant performs better or is about to make a decision based on a test.
Use the DBX CLI to inspect DBX-managed database connections, explore schemas, run bounded read-only queries, generate DBML or schema documentation, and open tables in DBX Desktop. Use when the user asks to work with a database configured in DBX from a shell-capable AI agent. Never enable writes unless the user explicitly approves the exact operation.
Design, build or restyle websites, landing pages, app UIs, dashboards, React components, CSS/Tailwind layouts, branded documents and slides. Choose fonts and color palettes, improve visual hierarchy, or make an interface look better and less generic. Not for backend-only, database, infrastructure or nonvisual logic changes.
Run LinkedIn prospecting and outreach through Omentir MCP. Use this when Claude, a Cursor agent, or Grok Bot should find people, score fit, draft messages, or check campaigns. Never sign into LinkedIn in a browser.
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the `cacheComponents` flag, work through a flood of blocking-prerender / instant validation errors, run the `cache-components-instant-false` codemod, or decide between opting routes out with `export const instant = false` and fixing them in place.
Produce QA acceptance criteria and a manual validation plan for a feature change — golden path, edge cases, error states, performance limits, and explicit pass/fail evidence.
Find and use existing images with Lightdrift when building websites, presentations, or educational content, or when asked to source photographs or visual references. Search by meaning and retrieve files with source and license details. Use for image retrieval, not image generation.
Search and chat with AI agents across the Universal Agentic Registry via the Hashgraph Online Registry Broker API. Use when discovering agents, starting conversations, finding incoming messages, or registering new agents.
Run browser-grounded, read-only social research through Jev Social when a user wants posts, profiles, comments, video evidence, or a source-linked report from Instagram, TikTok, or LinkedIn and the local socai CLI reports support for that platform. Do not use for publishing, engagement actions, or general web research.
Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.
jlc-cli is an unofficial, community-maintained JLC China (嘉立创, jlc.com) CLI skill, not affiliated with or endorsed by JLC. Use it for PCB/Gerber upload, preview, manufacturing parameters, quotes, orders, login and QR login. Use jlc-cli for website business workflows, human-confirmed balance payments, and Jia Xiaozhi; not schematic editing, local Gerber conversion, or overseas JLCPCB.
Preview and import StatePort Cards from .scard files or Share URLs, export a Card to a file, or create a temporary sharing link for a requested handoff.
Investigate StatePort replay mismatches or test frontend behavior with request remaps, replay/block/local-live routes and JSON response overlays, then compare or restore the baseline.