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Found 736 Skills
Turn papers, technical articles, or knowledge content into highly realistic AIGC slides. First create a narrative structure and page-by-page visual direction, then call an image generation model to produce a 16:9 slide image for each page, and finally synthesize into PPTX/PDF. Suitable for paper presentations, group meetings, open courses, technical sharing, and commercial research presentations; use this skill when users mention "paper PPT", "AI-generated PPT", "PPT that doesn't look like AI", "high-quality slides", or "page-by-page AI-generated PPT".
Translate approved GDDs + architecture into epics — one epic per architectural module. Defines scope, governing ADRs, engine risk, and untraced requirements. Does NOT break into stories — run /create-stories [epic-slug] after each epic is created.
ELI5-style explanations with analogies and multiple examples. Explains concepts at different levels (ELI5, high school, undergraduate, graduate). Uses real-world analogies and visual metaphors. Use when explaining difficult concepts, clarifying confusing topics, or learning new subjects. Triggers - explain concept, ELI5, explain like I'm 5, what is, how does, why does, analogy for, simple explanation.
Fetch raw OHLCV price data using the aipa CLI. Use this skill whenever the user asks for price data, candle data, OHLCV data, historical prices, stock quotes, crypto prices, moving averages, volume data, or any raw market data without AI analysis. Also use for: top performers, worst performers, best stocks, top gainers, biggest losers, market movers, ranking tickers by price change / volume / value / MA scores / money flow (`aipa performers`); volume profile, POC, point of control, value area, support/resistance by volume, volume-by-price histogram (`aipa volume-profile`). Also use for fundamental data: company info, financial ratios, PE, PB, ROE, NPL, CAR, fundamental ranking and screening (`aipa fundamentals info/ratios/rank/screen`). Also use when the user wants to inspect what data is available, build charts, perform their own calculations, or get numbers for a spreadsheet. Even if the user doesn't mention "aipa", trigger this skill for any raw financial data, fundamental data, or market ranking request.
Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Can critique architecture. Use why for motivation.
Design stress-test engine. Does NOT generate designs — it pressure-tests YOUR existing draft against real-world edge cases, code constraints, and failure paths. One sharp question at a time, drilling down the decision tree, using code facts to stress-test assumptions, then outputs a tight Facet Brief. NOT for: executing clear tasks, factual Q&A, or pure brainstorming (go brainstorm first, then come back with a direction). Triggers: "facet / pressure-test this plan / stress-test the design".
Reverse-engineers a UI animation from a screen recording — extracts frames, tracks motion per frame, fits easing and spring curves, annotates choreography, and emits CSS, Motion/Framer Motion, SwiftUI, React Native, or UIKit code. Use when the user shares or uploads a screen recording or video of a UI animation, or asks to "reverse engineer this animation", "recreate this animation", "match this easing", "extract the animation curve", "figure out the spring from this video", "copy this transition from a video", "how does this animation work", or "reproduce this motion".
Generate a pull request subject line and a concise description by analyzing the commits and diff on the current local git branch. Use this whenever the user is preparing a PR and wants help writing its title or body — phrases like "write a PR description", "summarize my changes for a PR", "what should the PR title be", "draft the PR for this branch", or "describe these commits". Trigger even if the user doesn't say the exact words "pull request" but is clearly wrapping up branch work and wants it summarized for review. This skill only reads git locally and prints the result for the user to copy — it never pushes or edits anything on GitHub.
Query papers using RAG (PaperQA2 or LEANN). Use when user needs synthesized answers from papers, asks "what does paper X say about Y", or needs cited responses.
Verify code against paper. Use when user asks "does this match the paper", "check my implementation", or is implementing equations/algorithms from literature.
DigiFT RWA platform CLI — query products, prices, fees, calendar, whitelist, orders; build subscribe/redeem/approve transactions (outputs TxBody, does NOT sign)
Debug Django web applications with systematic diagnostic approaches. This skill covers troubleshooting Django-specific errors including TemplateDoesNotExist, ImproperlyConfigured, IntegrityError, migration conflicts, CSRF failures, N+1 query problems, and circular imports. Includes Django Debug Toolbar setup, ORM query logging, pdb/ipdb usage, shell_plus debugging, and comprehensive logging configuration. Provides four-phase methodology for root cause analysis and regression prevention.