twilio-conversation-intelligence

Planning skill for transactional notifications, alerts, and reminders. Qualifies the developer's needs across urgency, channel selection, delivery confirmation, and fallback patterns to recommend the right Twilio notification architecture. Handles both "send shipping updates to customers" and "build a multi-channel alert system with delivery confirmation and fallback."

Choose the right Twilio authentication method and implement it correctly. Covers Auth Token (testing only), API Keys (production standard), OAuth2 client_credentials (time-limited bearer tokens), Access Tokens (client-side SDKs), and test credentials. Use this skill before making any Twilio API calls in production.

Handle rate limits, retries, and failures when building on Twilio at scale. Covers 429 exponential backoff with jitter, per-number throughput limits, StatusCallback resilience, thin-receiver pattern, and fallback chains. Use this skill whenever sending messages or making calls at volume, or when building production-grade Twilio integrations.

Manage regulatory compliance for international phone numbers. Covers what bundles are, which countries require them, how to create End-Users and Supporting Documents, evaluate and submit bundles, fix evaluation failures, update bundles when regulations change, and ISV multi-account patterns. Use this skill when provisioning numbers outside the US.

Send RCS Business Messages via Twilio. Covers compliance onboarding (7-part US process), sender profile setup, sending rich cards and carousels, SMS fallback, device support (Android + iOS 18 caveats), and common errors. Use this skill when building RCS messaging or onboarding an RCS sender.

Set up and manage Twilio Organizations for centralized account and user governance. Covers the Organization > Account > Subaccount hierarchy, roles (Owner/Admin/Standard), managed vs independent accounts, domain registration, SSO enforcement, SCIM provisioning, and Organization merging. Use this skill when managing multiple Twilio accounts or users across teams.

Choose the right Twilio number type and sender BEFORE building. Covers phone numbers (local, toll-free, short code, mobile), alphanumeric sender IDs, WhatsApp senders, RCS agents, international availability, and regulatory bundles. Each number type has its own compliance program — choosing wrong means rebuilding. Use this skill first.

Planning skill that helps the developer pick the right Twilio messaging channel — SMS, MMS, RCS, or WhatsApp — for a given use case. Qualifies intent across content type, geography, use case (marketing / notifications / OTP / support), cost model, and brand presence. Use when the developer asks "which channel should I use", "SMS vs RCS vs WhatsApp", mentions a country or region, asks about branded messaging, rich content, or fallback — and proactively when the developer says "send SMS" or "text" but the use case (rich content, international reach, branded experience, marketing campaign, transactional notification) would benefit from a different or multi-channel approach. Also invoke alongside twilio-marketing-promotions-advisor or twilio-notifications-alerts-advisor whenever the developer has not yet confirmed a specific channel.

Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, fair comparison, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow code-only or run-only exploration, passive repo analysis, verified novelty claims, or implicit experimentation.

Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and writes the standardized `repro_outputs/` bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, silent protocol changes, score chasing, or broad research assistance outside repository-grounded reproduction.

Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized `train_outputs/`. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.

Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with fair-comparison caveats and no-overclaim summaries in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline execution, conservative training verification, default routing, verified SOTA claims, or implicit experimentation.

Search, scrape, crawl, extract structured data, and monitor web pages via the ScrapeGraph AI CLI. Use when the user asks to search the web, scrape a webpage, grab content from a URL, extract JSON from a site, crawl documentation or site sections, monitor a page for changes, inspect request history, check ScrapeGraph credits, or validate API setup.

Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative

When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk track,' 'sales playbook,' 'proposal template,' 'buyer persona card,' 'battle card,' 'battlecard,' 'competitive one-pager,' 'win-loss analysis,' 'why are we losing deals,' 'loss reasons,' 'how do I respond to this objection,' 'prospect just said,' 'help my sales team,' 'sales materials,' or 'what should I give my sales reps,' 'cold call script,' or 'voicemail script.' Use this for any document or asset that helps a sales team close deals. For public competitor comparison pages, see competitors. For running buyer interviews or churn research, see customer-research. For marketing website copy, see copywriting. For cold outreach emails, see cold-email. For the offer being sold (bonuses, guarantees, pricing structure), see offers.

When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," "PMF survey," "product/market fit survey," "customer interview questions," "interview outreach," "Sales Safari," or "find out why customers churn/convert/buy." Use for analyzing existing research assets, mining online sources, AND running primary research (interviews and surveys). For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.