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Found 414 Skills
Customer Relationship Management (CRM) vertical skill for the Customware SPA. Defines the section layout, entity views, and mapping rules for transforming a DOMAIN.md into a CRM tool. Use this skill when the Builder Agent classifies a customer's domain as contact management, sales pipeline, deal tracking, or customer relationship workflows. Trigger signals: contacts, leads, deals, pipeline, follow-ups, opportunities, accounts, customer data everywhere, can't track who talked to whom, sales process, referrals.
Unified macro intelligence feed — reads 7 sources, classifies events, scores sentiment, generates AI insights, exposes signals via HTTP API
Beat Editor for aibtc.news: review and approve/reject signals on assigned beat, file editorial reviews, manage beat cap via displacement, earn per-review sats
Smart Money Signal Copy Trade v1.0 — onchainos Agentic Wallet + Cost-Aware TP + Dev/Bundler Safety + Session Risk Control. Triggers when the user mentions smart money strategy, signal strategy, copy trading, whale tracking, KOL copy trading, on-chain signal trading, co-riding addresses, take profit / stop loss, risk preference, or wants to automatically buy/sell based on smart money signals. Runtime file: bot.py (includes Web Dashboard http://localhost:3248) Config file: config.py (hot-reload)
Earnings estimate revision analysis for listed companies via Longbridge — tracks analyst consensus revision direction (upgrade / downgrade), earnings surprise (SUE = standardised unexpected earnings), PEAD post-earnings drift signals (consecutive beats + upward revisions = positive momentum), and management guidance revision impact. Builds on raw data from longbridge-consensus. Triggers: "预期修正", "盈利修正", "分析师上调", "分析师下调", "超预期", "低于预期", "PEAD", "财报后漂移", "业绩意外", "管理层指引", "預期修正", "盈利修正", "分析師上調", "分析師下調", "超預期", "低於預期", "財報後漂移", "業績意外", "管理層指引", "earnings revision", "estimate revision", "analyst upgrade", "analyst downgrade", "beat miss surprise", "SUE", "PEAD post-earnings drift", "guidance revision", "estimate cut raise".
Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search / freedom-to-operate / competitive landscape / acquisition diligence / litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Triggers: 'prior art search for [invention]', 'patent search on [topic]', 'freedom to operate analysis', 'FTO for [product]', 'patent landscape for [field]', 'is [invention] novel', 'patents on [topic]', 'competitive patent analysis', 'prior art for litigation', 'patent diligence on [company]'. Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.
Gathers and filters information systematically. Applies scanning, focusing, filtering, triangulating, monitoring, and synthesizing modes to build accurate situational awareness. Use when researching, verifying claims, monitoring signals, or combining multiple sources. Triggers on "what's happening", "verify this", "monitor for", "gather information", "is this true".
Comprehensive guide for creating Telegram Mini Apps with React using @tma.js/sdk-react. Covers SDK initialization, component mounting, signals, theming, back button handling, viewport management, init data, deep linking, and environment mocking for development. Use when building or debugging Telegram Mini Apps with React.
Use when investigating inbox placement, reputation, and compliance signals across senders.
When the user wants to write copy for e-commerce websites, webshops, or online stores. Use when building product pages, product descriptions, checkout flows, category pages, transactional emails, cart copy, or any online store copy. Also use when the user mentions product description, checkout copy, e-commerce copy, webshop copy, abandoned cart email, or order confirmation. Covers single and bulk product descriptions, cart/checkout UX copy, trust signals, promotional copy, SEO meta content, and email sequences.
Knowledge Blacksmith: Used to non-destructively merge and append new practical experience (new pitfalls encountered, new boundaries discovered, better solutions) into existing knowledge cards. The core principle is "extremely conservative minimally invasive surgery" - strictly prohibited from deleting or over-simplifying high-value experience (pain points, mistake records) in the original assets, and only upgrade old assets through Append and structured Merge. Trigger signals: `/asset-evolve`, `/asset-update`
Generate personalized outreach messages using Common Room signals. Triggers on 'draft outreach to [person]', 'write an email to [name]', 'compose a message for [contact]', or any outreach drafting request.