370 skills · sorted by relevance
Generate trading signals using Smart Money Concepts, a framework for interpreting institutional trading behavior. Analyze trend continuation, reversals, price gaps, and order concentration zones, then combine structural signals and gaps to determine a trading direction.
Create distinct paid advertising concepts, headlines, copy, and production briefs from validated brand information and campaign goals. Each concept connects its message to evidence, audience needs, platform requirements, and a hypothesis to test.
Learn Apache Beam's core concepts through Java and Python examples. Understand distributed datasets, processing steps, pipeline execution, and time windows, with guidance on aggregation, late data, error handling, and sharing processing steps across languages.
Turns concepts, processes, and software architecture into diagram files. Choose a standalone HTML file containing SVG for browser viewing, or an editable Excalidraw whiteboard for flowcharts, sequences, and architecture sketches.
Generate mobile app screen images and connected screen flows for iOS, Android, or cross-platform concepts. The skill emphasizes readable text, consistent colors and components, logical navigation, and balanced phone mockup framing. It produces images only.
Create logo concepts from a brand name, industry, or reference image using Beatra’s paid service. The skill guides verified package installation, account authorization, cost approval, and review of the generated artwork.
Organize scattered concept notes into a map of recurring ideas. Merge duplicates, rank concepts into four tiers, trace how stronger ideas developed across sources, and assess which notes to keep, rewrite, merge, or remove.
Audit saved project learnings against the current codebase to find outdated explanations, overlapping documents, and contradictions. Maintain the documentation with evidence-based updates, consolidation, replacement, or deletion, and deliver a per-document report with committed changes when applicable.
Assess understanding of medical guidelines through self-assessment and short quizzes, identify priority topics, and plan revision. Study diagnostic criteria and how concepts connect, with guideline versions and sources, within an educational scope that excludes individual patient care.
Create evidence-based Meta ad creative briefs, copy angles, and testable asset concepts for Facebook and Instagram. Use when asked for Meta ad creative, Facebook ads copy, Instagram ad assets, UGC concepts, creative briefs, new ad concepts, or creative refreshes.
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LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.
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LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.
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Create source-grounded paid-ad campaign concepts, messaging, copy, creative briefs, and production plans from a validated brand profile, campaign objective, platform requirements, and optional audit evidence. Triggers on: campaign brief, campaign concepts, create a campaign, ad concepts, ad copy, ad messaging, creative brief, headlines, descriptions.
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Audit and maintain the learnings in `docs/solutions/` against the current codebase — fix drifted paths and links, merge overlapping docs, replace guidance the code no longer supports, delete obsolete docs, reconcile the `CONCEPTS.md` glossary, then report and commit. Also bootstraps `CONCEPTS.md` on request and, when asked, culls docs whose reasoning the code already explains. Use for "refresh the learnings", "audit docs/solutions", "are our solution docs still accurate", "clean up / prune the learnings", "create a CONCEPTS.md", or after a refactor, rename, migration, or dependency upgrade that likely invalidated documented solutions. Not for capturing a new learning — use `learn-with-docs`.
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Create source-grounded paid-ad campaign concepts, messaging, copy, creative briefs, and production plans from a validated brand profile, campaign objective, platform requirements, and optional audit evidence. Triggers on: campaign brief, campaign concepts, create a campaign, ad concepts, ad copy, ad messaging, creative brief, headlines, descriptions.
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Create short animated explainers with Manim for technical concepts, graphs, system diagrams, and product walkthroughs. Plan scenes, render a video, and prepare a thumbnail, with optional handoff for further editing or compositing.
Create clear educational diagrams for scientific concepts, physical structures, workflows, and data. Output SVG, a scalable vector image format, inside one standalone HTML file with consistent styling and automatic light and dark modes.
Design and generate simple, cute mascot images for products, brands, or communities, aiming for recognition at 32 × 32 pixels. Explore distinct concepts and color choices through separately generated square candidates with labeled design details.
Create animated explanations of mathematical concepts, equation derivations, and algorithms with Manim Community Edition. The skill guides scene planning, Python animation code, rendering, and clip assembly into a finished explainer video.
Turn a captured source document into linked LLM Wiki pages for sources, entities, concepts, and combined insights. Update the index and log, preserve the original material, and flag contradictions with existing knowledge instead of silently replacing it.
Generate mobile app screen concepts and connected screen flows for iOS, Android, or cross-platform products. The skill emphasizes readable text, consistent colors and navigation, and clean phone mockups. It produces images rather than implementation code.
Create a brand overview image combining logo concepts, colors, typography, and examples across digital and physical materials. The skill bases the visual direction on the brand’s purpose and audience, arranging connected panels in a clear presentation grid.
Create ad headlines, body text, and static or video concepts tailored to advertising platforms. Use performance data and customer feedback to develop variations, check format limits, and define measurable tests for the next round.
Design subject lessons that also teach students how to learn. Add recall practice, explanations in their own words, predictions, and reflection to help learners check their understanding and plan later review while studying the main concepts.