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Found 411 Skills
Root cause analysis on production LLM traces. Diagnoses why an LLM application is failing — works from eval judge verdicts, runtime errors, or structural anomalies depending on what signals are present. Walks the span tree from symptom to root cause. Use when user says "what's wrong with my app", "why is my eval failing", "analyze errors", "root cause analysis", "diagnose failures", or wants to understand production failure patterns.
Scores inbound HubSpot leads by engagement signals, company fit, and urgency markers to produce a "call these 5 today" list with talking points, drafts the follow-ups, and blocks Calendar time. Use when the user asks to prioritize leads, who to call first, or about their pipeline.
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
Analyze China's macroeconomic data, PBOC monetary policy, fiscal policy, and their impact on A-share and Hong Kong stock markets. Track GDP, CPI, PPI, PMI, social financing, and interpret policy signals. Apply this when users inquire about China's macroeconomy, PBOC policies, the impact of economic data on markets, or need to understand policy implications for investment.
Expert signal-based selling strategist for B2B outbound teams. Use when the user asks about buying signals, intent data, signal scoring, signal-based selling, website visitor tracking, job change signals, hiring signals, funding signals, competitor signals, tech stack changes, content engagement signals, multi-signal stacking, RB2B setup, Trigify setup, Common Room, Bombora, Koala, Warmly, 6sense, signal-to-action playbooks, or building signal-driven outbound campaigns. Also triggers on "buying signals", "intent data", "signal scoring", "signal-based", "website visitors", "job change", "hiring signal", "funding signal", "competitor signal", "tech change", "content engagement", "RB2B", "Trigify", "Common Room", "Bombora", "intent signals", "warm outbound", "signal stacking", "visitor tracking", "signal tools", "GTM plays". Do NOT use for general list building without signal context (use list-building skill) or email writing (use cold-email skill).
Detect stale and potentially outdated documents in your Yuque knowledge bases by analyzing update timestamps and content freshness signals. For personal/individual use — scans your own repos.
When the user wants to configure canonical URLs, fix duplicate content, or consolidate URL signals. Also use when the user mentions "canonical," "canonical URL," "duplicate content," "duplicate content fix," "preferred URL," or "URL consolidation."
Read Telegram channels and groups for financial news and market research using tdl (read-only). Use this skill whenever the user wants to read Telegram channels, export messages from financial Telegram groups, list their Telegram chats, search for news in Telegram channels, or gather market intelligence from Telegram. Triggers include: "check my Telegram", "read Telegram channel", "Telegram news", "what's new in my Telegram channels", "export messages from", "list my Telegram chats", "financial news on Telegram", "crypto Telegram", "market news Telegram", any mention of Telegram in context of reading financial news, crypto signals, or market research. This skill is READ-ONLY — it does NOT support sending messages, joining channels, or any write operations.
Use this skill when optimizing for AI-powered search engines and generative search results - Google AI Overviews, ChatGPT Search (SearchGPT), Perplexity, Microsoft Copilot Search, and other LLM-powered answer engines. Covers Generative Engine Optimization (GEO), citation signals for AI search, entity authority, LLMs.txt specification, and LLM-friendliness patterns based on Princeton GEO research. Triggers on visibility in AI search, getting cited by LLMs, or adapting SEO for the AI search era.
Crypto Twitter intelligence and alpha research. Search X/Twitter for real-time crypto narratives, trending tokens, yield strategies, smart money signals, and protocol research. Features TweetRank (PageRank-inspired credibility scoring), multi-signal token detection, coordinated raid detection, and dynamic tool discovery for execution suggestions. Solana-first but covers all major chains.
Build and maintain a global company context file that all other GTM skills read from. Captures product info, voice rules, ICP, win cases, proof library, campaign history, hypotheses, and DNC lists. Supports four modes: create (new context), update (append to existing), call recording capture (extract signals from transcripts), and feedback loop (import campaign results). Triggers on: "company context", "update context", "build context", "ICP", "win cases", "campaign history", "call recording", "feedback loop", "DNC list".
Analyze competitor pricing strategies across e-commerce platforms. Map price positions, identify pricing gaps, evaluate price elasticity signals, and develop data-driven pricing strategies.