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Design Log adds a gated Stop & Think protocol to Claude Code development. It asks clarifying questions, researches several sources through an MCP tool, explores the repository in plan mode, records the design, waits for one approval, and then hands unfinished checks to testing. Projects need a design-log index and research-tool configuration, and the workflow does not auto-merge to the main branch.

Claude UXR Skills is a personal toolkit for UXR and ReOps work at Miro. Its skills draft research plans and interview guides, audit prototype repositories without changing them, summarize weekly activity, and recap action items from Slack messages. Outputs are intentionally drafts for editing, and the end-of-day recap requires a connected Slack MCP. The repository complements rather than replaces the team’s canonical research skills.

Prompt Architect treats prompt writing as an engineering exercise. It diagnoses the task, asks for constraints, recommends suitable frameworks, drafts two or three alternatives, and scores them for clarity, specificity, context, completeness, and structure. The skill includes eight prompt frameworks, agent patterns, and anti-pattern examples, with model-specific guidance for Claude, GPT, Gemini, and local models. It returns a recommended version with tradeoffs and hallucination-risk notes.

Use this Claude Code skill to turn a loose coding request into a condition with a clear end state, visible proof, scope safeguards, and a turn limit. It includes six task patterns, worked examples, and eight rules for avoiding weak completion criteria. You still need to supply project-specific commands and boundaries; the template does not verify the work itself.

Recover mistyped English messages without retyping when the Israeli Hebrew keyboard layout was active. The skill detects likely gibberish, maps Hebrew characters back to their physical QWERTY keys, preserves real Hebrew and mixed text, and includes a deterministic Python decoder plus an optional prompt hook. It also has a reverse mode for English-to-Hebrew mistakes; other layouts are not included.

Use the two skills when an AI coding task needs code from elsewhere without pulling in an entire repository or runtime dependency. One extracts the smallest useful unit with a provenance comment; the other vendors only the slice you own, records its origin, trims unused parts, and supports selective resync. They are aimed at keeping borrowed code deliberate and maintainable.

Analyze a YouTube video by combining a downloaded 720p file, scene-change frames, a NotebookLM transcript and briefing, and Claude's multimodal reading. The skill writes a structured Markdown synthesis with a TL;DR, technical stack, step-by-step workflow, annotated frames, quotations, and actionable decisions. It requires yt-dlp, ffmpeg, the NotebookLM CLI, and an authenticated NotebookLM session.

Measure tempo from MP3, WAV, FLAC, M4A, OGG, and similar audio files with a two-stage analysis. A coarse pass checks the metric level, then a fine pass refines the BPM within a constrained range; the JSON output includes the primary BPM, metric-level BPM, result status, alternative half/double or 3:2 candidates, and the first 20 beat timestamps. It uses librosa and soundfile.

This experimental Claude Code skill helps solo builders surface the production concerns that an MVP can hide. Before coding, it asks four classification questions, assigns a risk tier, and can guide assumptions, security-tool checks, critical-path walkthroughs, handoff documents, and a cool-down before launch. It does not modify code, enforce deployment controls, or provide legal, compliance, or security certification; the skill content is currently German.

Use this Claude Code skill when a human-facing result benefits from sections, comparisons, or visual structure. It creates one self-contained HTML file with inline CSS, JavaScript, and SVG, using a warm editorial style and responsive layout; the file works offline and is opened in a browser. Short answers, linear explanations, and code-only output remain Markdown.

This Claude Code skill collects references in three sequential layers—UX patterns, visual direction, and mood—and fills a Figma Design file with screenshots, sources, and links as it runs. Claude in Chrome MCP is required; Figma MCP is optional for automatic board creation. It suits designers who want live examples to shape a new project's direction, but it is a reference-discovery workflow rather than a design generator.

Use this Japanese-first Claude Code skill to design, implement, or review presentation dashboards with HTML and ECharts. It organizes requirements through 5W1H, uses a six-part grid, recommends four basic chart types, and checks contrast and accessibility with a 26-item review flow. The scope is presentation dashboards rather than exploratory analysis, and the included guidance and templates are primarily Japanese.

This standalone agent skill scans local files, lockfiles, processes, persistence points, containers, and CI surfaces for indicators from documented npm and PyPI worm campaigns. Its key safety rule is to stop persistence and quarantine evidence before revoking credentials, then release a dependency-ordered rotation plan only after a clean second scan. It supports macOS, Linux, Windows, WSL, containers, and CI, but remains an incident-response runbook rather than a guarantee of safety.

Mentor adds an active teaching mode to Claude Code: it asks questions, offers progressive hints, explains concepts, and can patrol project changes while leaving implementation to the learner. It supports Socratic, tutor, or mixed teaching, multiple languages and humor styles, plus persistent user and project settings. Use it for deliberate practice and accountability, not for having the assistant write functional code.

Use this Claude Code skill to run Screaming Frog headless crawls, query existing Derby databases, diff crawl results, and render client-facing HTML audit reports. The bundled checks cover broken links, redirect chains, titles, H1s, thin content, page size, noindex pages with inlinks, and orphan candidates. Fresh headless crawls require a paid Screaming Frog license; queries and reports can use existing GUI-produced crawls.

Resume Writing Skill turns an unstructured career dump or an existing resume into three artifacts: a clean Markdown resume, a moderncv-banking LaTeX version, and a personalized teaching handbook. It diagnoses whether the problem is packaging or thin experience, compares the target role with current US job descriptions, and flags numbers that need verification instead of silently carrying them forward. It is scoped to US-market resumes, not cover letters or interview preparation.

Agentic AI Security applies a five-category framework while an LLM-based agent is being designed or coded. It checks privilege and identity boundaries, configuration and segmentation, behavior risks such as specification gaming, structural risks such as tool injection and cascading failure, and accountability gaps in monitoring. The coverage spans design through operation, but excludes infrastructure hardening, model-training security, and regulatory compliance.

Wallpaper6 Design Skills packages 40 atomic recipes for turning a source image into a seamless tile. Each recipe combines primitives such as symmetry, density, rotation, twist, graphic effects, and lighting effects, with JSON, JSONL, CSV, and TypeScript formats for different consumers. The repository keeps a legacy 64-skill file for compatibility, but new integrations should use the v2 recipes.json recipes.