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Found 426 Skills
Generate structured narrative text visualizations from data using T8 Syntax. Use when users want to create data interpretation reports, summaries, or structured articles with semantic entity annotations. T8 is designed for unstructured data visualization where T stands for Text and 8 represents a byte of 8 bits, symbolizing deep insights beneath the text.
Audits the creator's own Instagram account through Treg - installs Treg if needed, connects their Instagram, pulls the profile, the last 30 to 50 reels with their real stats (views, reach, average watch time, saves, shares, comments), and the account's reach over 28 days, finds what over-performs against their own median, looks at the first seconds of the best and worst reels, and writes video-agent/audit.md with what works, what doesn't and the 3 changes to make. Use when the user says audit, audit my Instagram, analyse my account, my stats, why my reels don't work, what works on my account, my best reels, Instagram insights, or connect my Instagram.
Debug ASP.NET Core and .NET applications with systematic diagnostic approaches. This skill covers troubleshooting dependency injection container errors, middleware pipeline issues, Entity Framework Core query problems, configuration binding failures, authentication/authorization issues, and startup failures. Includes Visual Studio and VS Code debugging, dotnet-trace, dotnet-dump, dotnet-counters tools, Serilog configuration, Application Insights integration, and four-phase debugging methodology.
Transform conversations and unstructured information into structured Notion documentation. Extract key insights, decisions, and action items. Create cross-linked knowledge bases with templates for meeting notes, how-to guides, decision records, and project documentation. Integrates with Notion API for seamless content creation.
Comprehensive audit of a Webflow site including pages, CMS collections, health scoring, and actionable insights. Use for site analysis, migration planning, or understanding site structure.
Unified quality gates for Laravel projects; Pint, static analysis (PHPStan/Psalm), Insights (optional), and JS linters; Sail and non-Sail pairs provided
Use to make social content discoverable through SEARCH across social platforms — the social-SEO / keyword-discovery skill. Run when the user says "social SEO," "get found in search," "TikTok SEO," "YouTube SEO," "keywords for social," "searchable captions," or wants search across platforms rather than just the feed. For single-platform depth, route "Instagram SEO" to instagram-seo and Pinterest asks to pinterest-seo; this skill owns the cross-platform framework. Reads brand-profile and audience first. All platforms are search engines; keywords, not hashtags, are the lever. Covers per-platform indexed surfaces, keyword research via autocomplete + native analytics (never fabricates volumes), the triple-mention technique, topical clusters, and the profile as a search asset. Routes hashtags to hashtag-strategy; hands the AI-search/LLM-citation (GEO) layer to ai-search-optimization. Measures via native search insights, not WoopSocial analytics.
Synthesize answer from wiki; persist new insights as wiki entries. Trả lời kèm mục Evidence trích dẫn edge ID (eid) của các cạnh trong đồ thị wiki thật sự chống lưng kết luận — dùng khi cần biết "căn cứ nào", "trích dẫn cạnh nào", "đường đi trong graph", "cite evidence".
Conducts an interactive, Socratic interview to extract authentic insights, lived experiences, tacit knowledge, and unique perspectives from the user on any topic, draft, notes, or highlights. Use this skill whenever the user wants to be interviewed, explore ideas through guided Q&A, "flip the script" on a review or draft, or draw out raw reflections before writing.
Strategic guidance for AI startup founders based on Sam Altman's insights from OpenAI's journey. Use this skill when users ask about starting an AI company, evaluating AI startup ideas, hiring for early-stage AI startups, building products with reasoning models, finding defensibility in AI, or navigating the current AI landscape. Triggers include questions like "Should I start an AI company?", "How do I hire for my AI startup?", "Is my AI startup idea good?", "How do I compete with OpenAI/big tech?", "What should I build with AI?", or "How do I find product-market fit in AI?"
Knowledge base containing insights from Aravind Srinivas (Perplexity CEO) on building AI-powered search products, competitive strategy against well-funded incumbents, and the future of agentic browsers. Use this skill when users ask about Perplexity's strategy, AI search product development, competing with Google/OpenAI/Anthropic, building answer engines, agentic browser concepts, startup competitive moats, or when analyzing the AI search market landscape. Also use when discussing how to position AI products against incumbents or when exploring the "cognitive operating system" concept for browsers.
Strategic framework for evaluating and building B2B AI startups based on Aaron Levie's insights from building Box through the cloud transformation. Use when founders or advisors need to - (1) Evaluate AI startup ideas for defensibility and market timing, (2) Design pricing models for AI products (consumption vs seat-based), (3) Analyze competitive positioning against incumbents, (4) Identify high-value AI opportunities in enterprise unstructured data, (5) Assess whether to target "core" vs "context" business functions, (6) Understand the 2024-2027 AI startup window dynamics, or (7) Apply Innovator's Dilemma and Crossing the Chasm frameworks to AI market entry.