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Found 961 Skills
Search markdown knowledge bases, notes, and documentation using QMD. Use when users ask to search notes, find documents, or look up information.
Extract the full design language from any website URL. Produces 8 output files including AI-optimized markdown, visual HTML preview, Tailwind config, React theme, shadcn/ui theme, Figma variables, W3C design tokens, and CSS variables. Also runs WCAG accessibility scoring. Use when user says 'extract design', 'get design system', 'design language', 'design tokens', 'what colors/fonts does this site use', or '/extract-design'.
Comprehensive security code review workflow for a target repository, producing a markdown report with findings and recommendations.
Format and validate code in various languages. Python, JavaScript, JSON, YAML, Markdown, and more. Uses standard formatters when available.
Runs comprehensive WCAG-oriented web accessibility audits using Chrome DevTools MCP (Lighthouse desktop and mobile, custom evaluate_script heuristics, keyboard focus and modals, a11y snapshot vs DOM parity, 320px reflow, touch targets, structured markdown reports). Use when auditing websites for accessibility, WCAG, a11y, inclusive design, Lighthouse or axe findings, screen reader parity, focus visibility, or Chrome DevTools MCP audit workflows.
Adversarial stress-test of a /think intelligence brief. Reads the think output markdown, then deploys 5-7 of the same analytical frameworks — but each one is hunting exclusively for reasons the recommendation is wrong, the conviction is unearned, and the idea will fail. Every framework becomes a prosecutor, not a judge. Surfaces the strongest kill shots, identifies which parts of the original brief are load-bearing but unverified, and produces a Red Team Report with a survival verdict. Use when the user says "red-team this", "attack this", "poke holes", "steel-man the opposition", "why is this a bad idea", "/red-team", or presents a /think brief they want stress-tested.
Guide Ane through structured reflection at end of day, end of week, after a decision, or after encountering new learning material. Use when the user says "journal", "reflect on today", "weekly review", "what did I learn", "after-action review", or references writing to the MELdigitalgarden vault. Produces Obsidian-compatible markdown; writes directly to the vault when filesystem MCP is connected, otherwise returns content for manual save.
CRITICAL RULE: You MUST use this skill whenever the task involves any machine learning tasks or data analysis. Use this skill if the user's prompt or requirements mention any of the following: * Clustering * Classification * Regression * Time series forecasting * Statistical testing * Model comparison * ML * Data analysis SQL/BigQuery ML HANDOFF: If the user requires a SQL solution, use this skill to dictate the ANALYSIS STEPS (e.g., markdown analysis cells, visualization logic), but defer to `bigquery` for all SQL syntax.
Interview-driven automation design tool. This skill should be used when the user wants to design a new skill, agent, automation, shortcut, or any other automatable workflow. Runs a coverage-driven JTBD interview (text or voice), then exports a one-page markdown spec plus an SVG design map.
Facilitate methodical review of proposals (technical designs, product specs, feature requests). Use when asked to "review this proposal", "give feedback on this doc", "help me review this RFC", or when presented with a document that needs structured feedback. Handles markdown files, GitHub gists/issues/PRs, and other text formats. Chunks proposals intelligently, predicts reviewer reactions, and produces feedback adapted to the proposal's format.
Async media + document derivations via `platform.media.transforms` and the declarative `transforms` block in `maravilla.config.ts`. Media: transcode video, thumbnail extraction, image resize/variants, OCR. Documents (.docx/.odt/.pptx/.xlsx/...): convert to PDF, render page thumbnails, generic format conversion, Markdown extraction (RAG-ready), single-file HTML with inlined images, image-replacement templating ({{TAG}} swap + named-object swap), QR-code injection. Use when ingesting user uploads that need normalised renditions, generating contracts/invoices from templates, or extracting structured content for LLMs. Critical: derived keys are content-addressed — `keyFor(srcKey, spec)` is known up front, before the worker starts, so clients can render placeholder UI without round-trips. Declarative config is the default; imperative `transforms.*` calls are for one-offs.
Create a safe implementation plan as both markdown and JSON DAG artifacts. Challenge scope with the user first, explore real code before decomposing, then emit atomic TASK-NNN entries with explicit dependencies, write scope, validation, and assigned agents. Use when the user asks to plan, decompose, or break work into execution-ready tasks.