Results for “concepts”

Use when you have a finalized brainstorm-beagle spec at `.beagle/concepts/<slug>/spec.md` and need a bite-sized, TDD-driven implementation plan before any code is written. Triggers on: "write a plan", "plan this spec", "turn the spec into a plan", "now plan the implementation", "write-plan". Reads the spec, designs the file structure, decomposes work into 2-5 minute TDD steps with exact paths and commands, self-reviews against the spec, gets user approval, then writes to `.beagle/concepts/<slug>/plan.md` and offers to generate an execution handoff prompt via the subagent-prompt skill. Does NOT brainstorm specs, write code, or execute the plan — produces the plan document (and an optional handoff prompt) only.

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Use when you need a bite-sized, TDD-driven implementation plan but do NOT have a brainstorm-beagle spec to plan against. quick-plan reconstructs intent from the current conversation, fans out domain-expert exploration subagents across the codebase, and synthesizes the same plan format write-plan produces — without requiring `.beagle/concepts/<slug>/spec.md`. Triggers on: "quick plan", "plan this out", "plan what we just discussed", "turn this into an implementation plan", "plan this without a spec", "I don't have a spec, just plan it", "write-plan but no spec". Make sure to use this skill whenever the user wants an implementation or TDD plan and there is no spec to plan against — even if they just say "plan it" after discussing a feature. Writes to `.beagle/plans/<slug>/plan.md`. If a finalized spec already exists at `.beagle/concepts/<slug>/spec.md`, prefer write-plan. Does NOT brainstorm specs, write code, or execute the plan — produces the plan document (and an optional handoff prompt) only.

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Create polished, code-driven Remotion motion explainers from scripts, narration, subtitles, product specifications, reference videos, UI recordings, diagrams, or abstract concepts. Use for product launches, AI demonstrations, UI interactions, algorithms, scientific principles, electrical systems, data flows, architecture, charts, equations, and concepts best expressed with React, SVG, Canvas, WebGL, or Three.js. Prioritize continuous spatial logic, visible cause and effect, precise interaction states, editable parameters, deterministic rendering, and evidence-backed visual QA.

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Builds and audits a concept-ontology for a regelrecht corpus to decide and verify reference types — cross-law source-binding vs intra-law source-binding vs open-norm leaf vs external-fact leaf — and to catch concept conflation across laws. Core principle: a value's reference type is fixed by WHO derives it, and a binding is sound only when producer and consumer denote the SAME concept; the lexical surface (the word in the text) is not the concept. Detects false friends (one term, different concepts — e.g. a register-based vs a factual "naar de omstandigheden"-based residence/ingezetene concept), orphan plain-params (a value a regulation actually derives, modeled as a brute input), negation/complement re-entry (¬X modeled as an independent leaf next to X), and duplication (one concept re-entered as several independent leafs, losing the single-source-of-truth invariant). Produces a law-level glossary and a stelsel-level concept map with sound same-concept binding edges and flagged lexical-match-but-concept-mismatch edges. Use when deciding whether a value should be cross-law/intra-law/leaf, when the same term means different things across laws, or when a binding might silently conflate concepts.

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Use when creating scientific magazine cover style images or prompts, research hero visuals, journal-cover-inspired concepts, academic poster covers, PPT covers, and high-impact scientific visual concepts. If the user asks to generate the image, use ChatGPT image generation.

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Continuously detect recurring UI/UX concepts during frontend discussions, track conversation-wide recurrence, and register repeated concepts as structured knowledge assets in a Notion database via MCP. Activates when UI/UX principles, heuristics, laws, or design patterns recur during frontend work, or on manual @ux commands (@ux save, @ux skip, @ux link).

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Generate three radically distinct, on-trend brand concepts for any app or product and present them as a single no-scroll hero webpage — a bento "brand book" (logo + tagline, in-app screen, out-of-home, merch, palette, type, voice) that assembles itself with a staggered pop on every toggle. Grounded in 2024-2026 design trends, not safe defaults. Triggers: "brand kit", "brand book", "brand concepts", "show me a few directions", "make it look like an agency did it", "build a brand for my app".

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Comprehensive JavaScript reference covering 33+ essential concepts every developer should know. From fundamentals like primitives and closures to advanced patterns like async/await and functional programming. Use when explaining JS concepts, debugging JavaScript issues, or teaching JavaScript fundamentals.

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Facilitate ideation, explore alternatives, and refine concepts through structured brainstorming techniques before implementation. Use when starting new projects, designing features, exploring solutions, evaluating tradeoffs, challenging assumptions, generating creative ideas, planning architecture, or refining rough concepts into detailed designs.

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Use when explaining concepts at different expertise levels, moving between abstract principles and concrete implementation, identifying edge cases by testing ideas against scenarios, designing layered documentation, decomposing complex problems into actionable steps, or bridging strategy-execution gaps. Invoke when user mentions abstraction levels, making concepts concrete, or explaining at different depths.

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Generate logo directions — "give me logo concepts for", "logo ideas for", "design a logo for". Emits 3 to 5 distinct directions as real editable SVG vector code, not raster mockups.

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Comprehensive JavaScript reference covering 33+ essential concepts every developer should know. From fundamentals like primitives and closures to advanced patterns like async/await and functional programming. Use when explaining JS concepts, debugging JavaScript issues, or teaching JavaScript fundamentals.

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Turn collected Markdown material into an article by choosing one narrative step at a time. Compare possible directions, introduce concepts before relying on them, and build the article while preserving the user's edits.

• Turning collected notes into an article
• Comparing possible article openings
• Ordering explanations for unfamiliar readers

Clarify a project's business concepts and terminology through concrete scenarios and comparisons with code. Record agreed definitions in a glossary and document significant design trade-offs in ADRs, records explaining why a decision was made.

• Resolving ambiguous business terms
• Creating or updating GLOSSARY.md
• Checking whether code matches business definitions

Explain concepts through detailed, interactive machines drawn from an angled view. The skill produces standalone HTML, SVG, or React components, with moving parts and numerical readouts driven by the same model so readers can explore how the idea works.

• Explain an abstract concept through a moving machine
• Add an interactive figure to a technical article
• Create a standalone HTML explainer

Explore concepts learned by language models using sparse autoencoders, which separate internal activity into a small set of features. Analyze pretrained models, train custom autoencoders, assess reconstruction quality, and experiment with feature based output adjustments.

• Exploring features with a pretrained SAE
• Training an SAE for a chosen model layer
• Comparing feature responses across input texts

Create animated GIFs for Slack emoji and messages from uploaded images or drawn shapes. Adjust dimensions, colors, and frame rate, combine motion effects, and use included validation tools to check the finished file.

• Creating animated emoji for Slack reactions
• Animating an uploaded image
• Making GIFs for Slack messages

Turn a rough idea into a concrete concept through guided discussion. Explore alternatives, compare user value and feasibility, and produce a Markdown brief covering the recommended direction, assumptions to test, minimum scope, and explicit exclusions.

• Shaping a vague product or feature idea
• Exploring alternatives before choosing a direction
• Testing assumptions before committing to a plan

Build an HTML presentation for introducing a brand’s logo, colors, typography, and usage rules. A coordinated cream background, colorful accents, and fixed visual style support brand reviews and client presentations.

• Presenting an outdoor brand’s visual identity
• Preparing a creative agency pitch
• Reviewing brand concepts with a client

Develop campaign concepts and guide design work from the brief to presentation. Combine structured idea generation, repeated self-assessment, and available design resources to define a direction, critique work, and plan improvements.

• Developing a campaign concept
• Defining a page's visual direction
• Reviewing a design and planning improvements

Extract and analyze competitors’ ads from ad libraries to study their messages and creative approaches. Use the findings as reference material when reviewing how other brands communicate and considering the direction of your own advertising.

• Research competitors’ advertising messages
• Review creative approaches in competing ads
• Gather references for your own ad concepts

Prepare Ant Design pull requests from all changes on a branch. It uses official templates, drafts an English title and a Chinese or English body, and asks for approval before creating the pull request.

• Summarize all branch changes for a pull request
• Draft a title and body using an official template
• Check the target branch and change type

Create an onboarding guide for new project members from a knowledge graph, a map of project components. The Markdown guide covers architecture, key concepts, a suggested learning path, important files, and areas that need extra care.

• Preparing a guide for new team members
• Organizing project architecture and key files
• Planning a codebase walkthrough

Represent dependency trees, taxonomies, and other hierarchies inside a Poincare ball, a geometric model for hierarchical distances. Use tree depth for radius and text embeddings for direction, then measure distances to examine the encoded structure.

• Analyze subtrees in module dependencies
• Examine structural patterns in class hierarchies
• Organize concepts by taxonomic relationships