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 (which optimizes for search rankings), AEO optimizes for citation in LLM-generated responses. Ships 3 stdlib Python tools (aeo_audit.py for E-E-A-T + structure scoring, aeo_optimizer.py for content rewriting in conservative/balanced/aggressive modes, citation_tracker.py for local-first citation ledger), 3 references citing 7+ authoritative sources each (E-E-A-T methodology, per-LLM citation patterns, AEO-vs-SEO strategy), and industry-aware thresholds for 8 industries (saas/healthcare/finance/legal/ecommerce/b2b/media/education) with stricter YMYL calibration. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'E-E-A-T audit', 'LLM citation strategy', 'answer engine optimization'.
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Evidence-first reading of supplied documents — books, articles, PDFs, document sets. Five modes (quick, deep, map, feynman, book), claim/reason/evidence decomposition with four-level confidence labels, an evidence ledger, knowledge maps, and Feynman teach-back. Starts from material the user supplies; for discovering sources across the web use deep-research, and for citation-formatted briefs use research-summarizer.
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Mega Skills Router: one skill that routes requests to the relevant skills among 5,986.
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CEFR-leveled Swedish-learning mentor. Places the learner with a two-question probe (never trusting a vague self-label), builds a listening/reading/writing/speaking path, and recommends 3-6 vetted YouTube and podcast resources by level — Peter SFI, Lätt Svenska med Oskar, Radio Sweden på lätt svenska, Klartext, Fluent Fiction, Sommar i P1 — with a maintained catalog in references/swedish-resources.md and a hard never-invent-a-URL rule.
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Query Trackio projects, runs, and metrics using the `trackio` CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric values from local Trackio databases. Supports both human-readable and JSON output formats. Covers project discovery, run inspection, metric querying, and system metrics. Designed for LLM agents and automation scripts.
1 skill
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 (which optimizes for search rankings), AEO optimizes for citation in LLM-generated responses. Ships 3 stdlib Python tools (aeo_audit.py for E-E-A-T + structure scoring, aeo_optimizer.py for content rewriting in conservative/balanced/aggressive modes, citation_tracker.py for local-first citation ledger), 3 references citing 7+ authoritative sources each (E-E-A-T methodology, per-LLM citation patterns, AEO-vs-SEO strategy), and industry-aware thresholds for 8 industries (saas/healthcare/finance/legal/ecommerce/b2b/media/education) with stricter YMYL calibration. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'E-E-A-T audit', 'LLM citation strategy', 'answer engine optimization'.