Writing & Content Workflows

Source tier definitions, citation formatting, verification patterns, and hallucination prevention. Load when writing content that requires external evidence, statistics, or expert claims. Covers what sources to use, how to cite them, and what to avoid.

Generate citation-grounded GEO content briefs from LLM prompt execution data, citation exports, AI responses, competitor pages, and keyword evidence. Use when the user needs differentiated article briefs that explain what to write, why it should win citations, which competitor patterns to address, and which sources or entities the writer should cover.

Use for any human-facing prose: drafting, revising, reviewing, or polishing text a person will read. Guides the agent through the universal writing reasoning that sits beneath every surface: genre, audience, situation, voice, register, tone, claim precision, structure, scanability, sentence clarity, information flow, and AI-artifact cleanup. Pair with surface skills when a specific artifact also has its own contract.

Use when drafting, revising, triaging, or reviewing GitHub issue titles and bodies, bug reports, feature requests, internal implementation issues, acceptance criteria, scope boundaries, decomposition notes, and links to supporting documents. Handles issue framing, scope, title shape, checkable outcomes, and when context belongs somewhere else. Pair with content-styleguide for deeper prose quality.

Generate brand-representative prompts for LLM visibility tracking and AI-search discovery monitoring. Use when the user needs natural-language prompts grouped by topic and funnel stage, including prompt sets for ChatGPT, Claude, Gemini, Perplexity, or AI Overviews tracking. Produces CSV-ready prompts that reflect how buyers, consumers, or researchers ask LLMs about a market.

Use before writing ANY text for outside consumption — blog posts, articles, emails, social media, documentation aimed at readers, letters, advocacy copy, newsletter content. Produces engaging, human prose and runs a review gate on all output.

Analyze Reddit citations in LLM tracking exports and produce a GEO strategy for Reddit-sourced AI answers. Use when the user asks where a brand appears on Reddit, how AI answers cite Reddit, which subreddits matter, branded versus unbranded Reddit patterns, competitor Reddit tactics, Reddit citation strategy, or a Reddit-specific report from citation data.

Conduct SEO keyword research and competitor analysis for GEO strategy. Use when the user asks for SEO research, keyword gaps, competitor keyword analysis, content opportunities, organic search strategy, or search evidence to support AI-search visibility work. Produces a markdown report with domain metrics, keyword clusters, competitor benchmarks, page patterns, SERP notes, and prioritized recommendations.

Build a GEO sitemap and page strategy from prompt execution data, citation exports, competitor pages, and a brand domain. Use for sitemap audits, AI-search page strategy, GEO page playbooks, "what pages should we build", "what existing pages should we improve", citation gap analysis, and page-level content architecture recommendations.

Use when the user asks to "clean up a transcript", "fix speech artifacts", "edit interview quotes", "polish transcription", "clean up quotes from a recording", or when working with speech-to-text output that needs light editing while preserving the speaker's voice.

Use when the content brief specifies a video script, video narration, or TTS-ready script. Covers writing pure narration for text-to-speech delivery, including pacing, hook structure, verbal transitions, and the strict no-visual-cues constraint.

Create an executive GEO visibility progress report from time-series LLM prompt execution data. Use when the user needs a monthly or quarterly AI-search visibility update, progress narrative, performance report, platform gap analysis, topic trend summary, or executive briefing from prompt tracking exports.

Use when producing or revising designed communication surfaces for the organization: reading-first HTML/PDF pages, executive guides, briefing pages, presentation support pages, visual docs, landing pages, and other rendered prose surfaces where layout, type, color, and link styling affect the result. Load references/yolando-design-system.md for Yolando-branded surfaces. Pair with content-styleguide when the work also needs voice, structure, tone, or AI-writing artifact cleanup.

Use when designing ANY Yolando surface — product screens, marketing, email, slides, Looms, internal docs. Yolando is Birdseye Global's AI visibility / GEO (Generative Engine Optimization) B2B SaaS platform. Default to dark mode; product is dashboard-heavy and data-dense. Brand is dry, technical, confident, quietly witty — never breathless, never "magical." Lavender-purple (8658EC) is the ONLY accent color; everything else is neutral greys. Skill provides: (1) full token set via colorsandtype.css, (2) 23 preview cards under /preview for every foundation + component, (3) a working React UI kit of the real product under uikits/seowebapp/ to copy from, (4) brand voice + logo rules. Load this BEFORE starting any Yolando work.