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Found 833 Skills
Lossless DFlash speculative decoding for MLX on Apple Silicon — 1.7–4x faster LLM inference using block diffusion drafting with target model verification.
A brand product-launch email — masthead with wordmark, hero image block, headline lockup with skewed-italic accent, body copy, primary CTA, and a specifications grid. Pure HTML email layout (centered single column, table fallback). Use when the brief asks for an "email", "newsletter blast", "MJML", "product launch email", or "email template".
Write programmatic Node.js or TypeScript scripts that drive the DatoCMS Content Management API using @datocms/cma-client, @datocms/cma-client-node, or @datocms/cma-client-browser — the code-first companion for content-heavy and automation work. Prefer this skill whenever the task needs real code for records, uploads, or project automation — including short mid-conversation asks like "publish them", "fix those slugs", "delete all drafts", or "bulk import this CSV", and longer checked-in scripts. Covers four areas: (1) content operations — create/update/delete/publish records, bulk import/export and CSV pipelines, pagination over large record sets, asset uploads from URL or local files with metadata, structured text and block payload edits; (2) environment and project governance — fork/promote environments, webhooks and build triggers, project settings and maintenance mode, scheduled publish/unpublish workflows, audit logs, usage analytics, subscription limits; (3) access control and typed flows — roles and API tokens, upload tracks and tags, generated CMA schema types for type-safe record operations; (4) schema and UI configuration when the user explicitly bypasses the migrations workflow or wants schema mutations embedded in a larger script — models, fields, blocks, saved filters, dashboard and schema menus, plugin install and configuration. For ordinary schema changes inside a project with a migrations workflow or a secondary environment, prefer `datocms-cli` migrations as the safe default; reach for this skill only when the user opts out or the mutation is part of a broader automation. Works for both one-off execution via `cma:call` / `cma:script` and checked-in `buildClient()` scripts for reusable or unattended code.
Convert Markdown documents to professionally styled DOCX (Word) files with python-docx. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, cover pages, TOC field, watermarks, and page numbers. Supports multiple color themes matching any2pdf (Warm Academic, Nord, GitHub Light, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled Word document, generate an editable report from markdown, or create a DOCX from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions "markdown to docx", "md2docx", "any2docx", "md转word", "md转docx", "生成word", or asks for an "editable document" from markdown source.
Write, edit, or review chapters of an arc42 architecture documentation. Use when user says 'write arc42', 'update the architecture documentation', 'fill out chapter 5', 'arc42 chapter', 'architecture docs', or 'document our building blocks'. Do NOT use for ADRs (use document-decision — ADRs belong inside arc42 chapter 9) or user-facing feature docs (use document-feature).
Use this skill when sending TON or jettons (tokens) to an address or TON DNS domain. It transfers TON, jettons, or other assets to any wallet address, .ton domain, or .t.me domain. Also use when the user wants to pay someone, send funds, transfer tokens, or move assets on the TON blockchain.
Pi-hole installation, blocklist management, DNS-over-HTTPS setup, DHCP integration, local DNS records, and troubleshooting broken DNS resolution on a home network.
Query IDA disassembly. Use when asked about functions, segments, instructions, blocks, operands, control flow, or raw code structure.
Verifies code implements exactly what documentation specifies for blockchain audits. Use when comparing code against whitepapers, finding gaps between specs and implementation, or performing compliance checks for protocol implementations.
Coverage analysis measures code exercised during fuzzing. Use when assessing harness effectiveness or identifying fuzzing blockers.
Use when implementing on-device AI with Apple's Foundation Models framework — prevents context overflow, blocking UI, wrong model use cases, and manual JSON parsing when @Generable should be used. iOS 26+, macOS 26+, iPadOS 26+, axiom-visionOS 26+
Use browser-use to perform Google searches, open results, and extract key information from live pages. Use when the user asks to "search Google", "look this up on Google", or needs current web results via a real browser session (often to avoid bot blocks).