Results for “content-json”

Fetches any X/Twitter post as structured JSON via the ADHX API, including full article content, author info, and engagement metrics, without scraping or a browser.

Fetches any X/Twitter post as clean, structured JSON via the ADHX API, including full article content, author info, and engagement metrics, without scraping or a browser.

Aggregates multiple RSS, Atom, or JSON feeds into a single daily digest with cross-feed deduplication, themed clustering, weighted ranking, and source-status reporting.

Generates custom safety policies for NVIDIA Nemotron content-safety guardrails, producing a Markdown policy, JSON taxonomy, and inference prompts from rough user input.

Fetch any X/Twitter post as clean LLM-friendly JSON, converting x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics.

Manages a personal operating system for content creation, relationship management, goal tracking, and weekly reviews using progressive disclosure and append-only data files.

Detects and eliminates AI writing tropes that make text sound artificial or formulaic. Use when generating text content, writing documentation, creating code comments, or reviewing writing style. Supports four-tier JSON preferences (global/project x shared/local office.json) read via load-preferences.sh.

Generate JSON-LD structured data for AEM Edge Delivery Services pages by analyzing page content and metadata to determine schema.org types, extract properties, and produce validated snippets for head.html or scripts.js.

Transforms raw content into polished, audience-appropriate deliverables by selecting formats, calibrating tone, and applying structure standards.

Implement schema.org structured data markup to help search engines understand content and enable rich results in search.

Routes a research topic through a structured two-phase workflow: generate an extensible outline, then fan out parallel web-search agents to investigate each item into validated JSON, producing a complete markdown report with table of contents.

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or

Generate, fill, or reformat PDFs with a token-based design system that adapts typography, color, and layout to document type.

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.

为X、LinkedIn、TikTok、YouTube、新闻通讯和跨平台重新利用的多平台活动创建平台原生内容系统。适用于当用户需要社交媒体帖子、帖子串、脚本、内容日历，或一个源资产在多个平台上清晰适配时。

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.

Generate SEO-informed content briefs with competitive positioning

Creates a machine-readable phased JSON plan bundle from a spec or feature description, producing a compact master manifest plus per-phase step files for resumable execution.

Creates a machine-readable phased JSON plan bundle from a spec or feature description, producing a compact master manifest plus per-phase step files for resumable execution.

Establish durable brand and voice context for cross-skill consumption. Generates BRAND.md (audience, positioning, do/don't editorial rules, taboo phrases, competitor differentiation) and VOICE.md (existing persona JSON re-expressed as readable prose), both written to the project root. When present, all blog sub-skills auto-load these files before writing or reviewing. Pairs with blog-persona, which manages the structured persona JSON. Use when user says "blog brand", "create brand context", "brand voice doc", "BRAND.md", "VOICE.md", "establish editorial brand", "brand guidelines for blog".

Diagnoses how to turn a confirmed content topic into effective content, covering format matching, five-dimensional quality assessment, and actionable next steps.

Creates platform-native content for X, LinkedIn, TikTok, YouTube, newsletters, and multi-platform campaigns, adapting source material while preserving the author's voice.

Detect, validate, and generate Schema.org structured data in JSON-LD format for SEO and rich results.

Plan content strategies that drive traffic, build authority, and generate leads by classifying topics as searchable or shareable.

Creates animated flow diagrams from articles, workflow notes, architecture sketches, or process descriptions using a JSON specification and a local Python/Pillow renderer.

Plan and govern product content: audit existing material, define content models, establish voice and tone, and set ownership workflows.

Design loading, skeleton, and progressive content reveal patterns that maintain user confidence and perceived performance.

Create, schedule, and optimize social media content across LinkedIn, Twitter/X, Instagram, TikTok, and Facebook with platform-specific strategies, hooks, content calendars, and repurposing workflows.

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.