Design & Media

luokai0 Skill

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luokai0 Bundle

Analyzes design image files or Figma links (when Figma MCP is available) and generates a structured design context document. Handles three output formats: (1) User Flow Document — sequential multi-screen journeys with screen-by-screen breakdowns, state transitions, and error handling; (2) Design Description — screen/component documentation covering visual design, layout, and interaction behavior; (3) Context Summary — structured six-context analysis (Business/Product/UX) used as input for requirements generation. Use when given design images, Figma URLs, or asked to document a screen, flow, or feature from mockups.

luokai0 Bundle

Generates Mermaid.js diagrams in FigJam from requirements documents, user flows, state descriptions, or verbal input. Supports flowcharts, sequence diagrams, state diagrams, and gantt charts via the Figma MCP generate_diagram tool. Applies client-reviewed flow modeling conventions (shape vocabulary, actor naming, audit nodes, cross-system handoffs). Runs a 6-priority verification gate (accuracy, clarity, readability, completeness, conciseness, structure) before generating. Use when asked to: create a FigJam diagram, generate a user flow in FigJam, create a flowchart from requirements, build a sequence diagram, generate a state diagram, visualize a user flow, or any request involving Mermaid diagrams in FigJam.

luokai0 Bundle

Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection.

luokai0 Skill

Applies Anthropic's official brand colors and typography.

vikingokft Bundle

Open the standard WordPress Media Library picker from plugin admin UI with `wp_enqueue_media()` and `wp.media()`. Covers the screen-gated enqueue, `media-editor` dependency, `wp.media( { frame, title, button, library, multiple } )`, `library` filters for type / MIME / uploadedTo / author, `multiple` values `true` and `'add'`, `select` and `open` events, `frame.state().get( 'selection' ).first().toJSON()`, attachment `sizes`, frame caching, pre-selecting existing attachments, and saving attachment IDs instead of URLs. Use for image, file, gallery, logo, avatar, cover, or per-row icon pickers in settings pages, metaboxes, and repeaters.

johnalbertini14-glitch Bundle

Post to X (Twitter) using the OpenTweet API. Create tweets, schedule posts, publish threads, and manage your X content autonomously.

johnalbertini14-glitch Bundle

Build Webflow Designer Extensions that run inside the Webflow Designer. Use when creating, debugging, or modifying Designer Extensions (iframes that interact with Webflow's Designer API). Covers CLI usage, element manipulation, styles, components, pages, variables, assets, error handling, and UI design patterns for Webflow's design system.

johnalbertini14-glitch Skill

Automate your

brycewang-stanford Skill

Use when converting an accepted UAI paper into its PMLR proceedings version, covering de-anonymization, final formatting against the UAI template, metadata for the PMLR volume, restoring public code and data links, poster and spotlight preparation for the conference, and sequencing work back from the camera-ready deadline.

brycewang-stanford Skill

Use when judging whether computation belongs in a STOC (ACM Symposium on Theory of Computing) paper at all — STOC accepts on theorems, with no empirical-evaluation expectation — and when it does, scoping it as certified proof computation, constructive search, or clearly labeled illustration rather than benchmarking.

brycewang-stanford Skill

Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.

brycewang-stanford Skill

Use when preparing the final version of an accepted CVPR paper, covering de-anonymization, the dataset-release-by-camera-ready obligation, CVF open access versus the IEEE Xplore version of record, oral/highlight/poster preparation at conference scale, and arXiv/preprint synchronization after acceptance.

brycewang-stanford Skill

Use when preparing an accepted ICLR paper for camera-ready submission, OpenReview metadata, poster instructions, slide deck, project page, video, and publication logistics. Use when de-anonymizing the final PDF, folding in promised discussion-period fixes, confirming the camera-ready page allowance for the current cycle, or assembling poster and presentation assets for ICLR's poster-heavy program.

brycewang-stanford Skill

Use when reasoning about UAI peer review on OpenReview, including bidding, double-blind evaluation against the correctness, novelty, backing, and clarity criteria, the author-response window, the reviewer-and-area-chair discussion that follows it, decision timing, spotlight versus poster outcomes, and PMLR publication of accepted papers.

brycewang-stanford Skill

Use when preparing a WACV camera-ready after acceptance, covering de-anonymization, IEEE Xplore plus CVF open-access dual publication, IEEE copyright and PDF checks, the dataset and code release obligation, per-paper registration, and preparing the winter-conference talk or poster once a paper clears Round 1 or Round 2.

brycewang-stanford Skill

Use when deciding what belongs in an IPSN-lineage paper body versus its artifact, appendix, and demo/poster track, covering the ≤12-page ACM two-column budget, the rule that decision-critical evidence stays inside the reviewed pages, double-blind supplementary material, dataset release, and how to split a sensor-systems paper between body and package.

brycewang-stanford Skill

Use when reasoning about how CVPR review actually works at 16,000-submission scale, covering the OpenReview pipeline and timeline, reviewer-duty enforcement and desk rejects, the reviewer LLM ban, AC and discussion dynamics, oral/highlight/poster decision tiers, and calibrating expectations to a ~25% acceptance rate.

brycewang-stanford Skill

Use when interpreting the UIST review pipeline — anonymous PC-plus-external review of papers and videos, the rebuttal's role, PC-meeting decisions, conditional acceptance mechanics, reading systems-reviewer psychology, and choosing the demo/poster fallback or resubmission path after a rejection.

brycewang-stanford Skill

Use when preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely, completing the ACM rights form and CCS concepts, meeting ACM sigconf requirements, releasing code/data/media artifacts and any earned reproducibility badge, registering, and planning the oral/poster presentation in Rio.

brycewang-stanford Skill

Use when strengthening the reproducibility of a COLT (Conference on Learning Theory) paper, where reproducing means re-deriving — complete proofs, explicit assumptions, tracked constants, correctly invoked external results, self-contained notation — plus seeds and scripts for any numerical illustration the paper carries.

brycewang-stanford Skill

Use when reasoning about how a PPoPP submission is evaluated, covering double-blind review, the Program Committee plus External/Extended Review Committee model, TPMS reviewer matching, the author-response rebuttal, the accept/reject decision with automatic poster consideration, and how PPoPP's process differs from PLDI's and CGO's.

brycewang-stanford Skill

Use when reasoning about the ACM MM (ACM Multimedia) review pipeline — thematic-area routing to reviewers and area chairs, the OpenReview double-blind process and its single-blind track exceptions, the optional anonymous rebuttal, the meta-review and decision, and the oral/poster and award tiers, and where an author actually has leverage.

brycewang-stanford Skill

Use when reasoning about ICASSP peer review — the IEEE Signal Processing Society technical-committee pipeline, EDICS-based assignment, single-blind reviewing, the recently added short rebuttal, oral-versus-poster allocation, the roughly-even acceptance rate, and how a signal-processing decision is actually made and should be decoded.

brycewang-stanford Skill

Use when running the final pre-submission preflight for The Art Bulletin — double-blind anonymization, the required Word files (manuscript, abstract, illustrations, captions, cover sheet), word/abstract/illustration caps, Chicago formatting, and the permissions status. Final checks; it does not draft content.

brycewang-stanford Skill

Use when an INTERSPEECH paper is accepted and the camera-ready, registration, and presentation chain begins — de-anonymizing for the ISCA Archive, restoring acknowledgments on the references page, meeting the author-registration requirement for proceedings inclusion, DOI metadata, and oral/poster preparation for the conference week.

brycewang-stanford Skill

Use when reasoning about how INTERSPEECH review actually works — area-based assignment inside ISCA's scientific program, multi-reviewer scoring and meta-review on CMT, what the rebuttal can and cannot move, oral/poster allocation, ISCA best student paper selection, and reading a decision letter for next-cycle strategy.

brycewang-stanford Skill

Use when building exhibits for a Management Science (INFORMS) manuscript — propositions and numerical-illustration figures for analytical papers, or result/identification tables and effect plots for empirical papers — keeping notation clean, exhibits self-contained, and the page budget tight for the invited-revision limit. It builds exhibits; it does not run the analysis (mgsci-data-analysis).

brycewang-stanford Skill

Use for the Monte Carlo and numerical-illustration component of an Econometric Theory (ET) paper — designing simulations that show finite-sample behavior tracks the asymptotics, plus any illustrative empirical example. Lighter than empirical journals; the spine stays the theory.

brycewang-stanford Skill

Use when designing the Monte Carlo study and empirical illustration that demonstrate a Journal of Econometrics (JoE) method works in finite samples. Covers size/power simulation design, DGP stress tests, and the role of the applied illustration relative to the theory.

brycewang-stanford Skill

Use when a Games and Economic Behavior (GEB) manuscript involves experimental data or numerical illustration — analyzing strategic-game experiments and building verified worked examples. Adapts analysis to GEB's game-theory nature, where data supports the theory rather than carrying a causal claim.

brycewang-stanford Skill

Use when responding to a Sociological Methods & Research (SMR) decision letter — drafting the point-by-point response and revision plan for properties, simulations, the empirical illustration, software, and exposition under SMR's verbatim-comment response format. Plans the response; does not run new analyses itself.

brycewang-stanford Skill

Use when sequencing a Sociological Methods & Research (SMR) manuscript from method-contribution fit through derivation and properties, Monte Carlo simulation, real-data empirical illustration, released software, ScholarOne submission, double-anonymized review, and rebuttal. Routes to the right SMR skill; does not itself draft sections.

brycewang-stanford Skill

Use to plan and execute the illustration, copyright-permission, and reproduction-quality workflow for an Art Bulletin article — the distinctive, slow, author-funded task of art-historical publishing. The author secures and pays for rights and supplies high-resolution images. Manages the image workflow; it does not grant rights or waive fees.

brycewang-stanford Skill

Use when designing the Monte Carlo simulation study for a Sociological Methods & Research (SMR) paper — data-generating processes, competing methods, performance metrics, and the regimes where the method wins or breaks. Designs the simulation; does not derive properties or run the real-data illustration.

brycewang-stanford Skill

Use when building the real-data empirical illustration for a Sociological Methods & Research (SMR) paper — a demonstration that the method changes a substantive conclusion, not a decorative example. Designs the illustration; does not derive properties or design the Monte Carlo.