audio-mix-maker
Mix music/audio onto an existing video via ffmpeg. Modes: replace, overlay, duck (sidechain compressor lowers music under…
Write viral social media content using the project's proven methodology — hooks, numbered points, NLP questions, CTA. Wraps `writer` (clean-prose engine).
Claude Code
$ npx -y skills add Mikefluff/skills --skill viral-text --agent claude-code
Codex
$ npx skills add Mikefluff/skills --skill viral-text -a codex -y
Cursor
$ npx skills add Mikefluff/skills --skill viral-text -a cursor -y
Gemini CLI
$ npx skills add Mikefluff/skills --skill viral-text -a gemini-cli -y
GitHub Copilot
$ npx skills add Mikefluff/skills --skill viral-text -a github-copilot -y
OpenCode
$ npx skills add Mikefluff/skills --skill viral-text -a opencode -y
Windsurf
$ npx skills add Mikefluff/skills --skill viral-text -a windsurf -y
name: viral-text description: "Write viral social media content using the project's proven methodology — hooks, numbered points, NLP questions, CTA. Wraps `writer` (clean-prose engine)." license: MIT allowed-tools: - Read - Write - Edit - Bash - Grep - Glob - WebSearch - WebFetch
<objective> Generate viral social media content. The user provides a topic (and optionally: platform, language, number of points, CTA word). You produce a hook + body text ready to publish.
This skill is a thin shell over the base `writer` skill. Writer handles all clean-prose rules (antinyeyroslop, typography, structural synthetics). Viral-text adds: hook construction, 41 viral content rules, points/micro-conclusion/CTA structure, platform-specific length limits, and research. </objective>
<instructions>
Before output, ALWAYS run the text through the `writer` skill's 4-layer cleaning pass (full neuroslop regex 25 categories + structural synthetics + surgical patches + read-aloud final). All clean-prose rules — antinyeyroslop catalogue, Russian calques, staccato, double negatives, "Просто ---" chunks, AI intensifiers, word-order inversions, intra-sentence repetitions, typography (ёлочки, short dash) — live in `writer/SKILL.md` and apply by default.
This file only contains what is viral-specific.
You are a master of viral content for social media. Your texts collect millions of saves and reposts.
Write in the language the user specifies or the language of their topic. Default to Russian if unclear.
41 mandatory viral-specific rules (resentment-and-perspective opening, no bold, only numbered lists, controversial takes, NLP-question micro-conclusions, unique-form paragraphs, etc.). Load the full catalogue from [references/viral-rules.md](references/viral-rules.md) before drafting.
Hooks must be 7-12 words, end with colon, contain one CAPS word, a bait bracket, a specific character + transfer verb, and spark burning curiosity without blaming the reader. Viral-specific banned constructions (Red/Green flags lists, CTA cliches like "write YES", cliche metaphors) live alongside the criteria. Full checklist + hook structure formula: [references/hook-criteria.md](references/hook-criteria.md).
Before generating content, ALWAYS research the topic via WebSearch + WebFetch to gather real facts, quotes, and insights. Organize into 3 buckets (FACTS / INSIGHTS / QUOTES), prefer recent and named sources, never fabricate. Full process + quality criteria + failure-mode handling: [references/research-workflow.md](references/research-workflow.md).
Run WebSearch queries, gather facts/insights/quotes. Show a brief summary to the user before the final text:
Research found: - [2-3 key facts/insights that will be used]
Write a viral hook following the criteria above.
Write the numbered points (default 5, user can specify 3-7):
After the last point, a SEPARATE paragraph: micro-conclusion/insight with an NLP question (1-2 sentences). NOT inside the last point — between it and CTA.
CTA = keyword + human call to dialogue.
Apply the `writer` skill's 4-layer cleaning pass:
In addition, run two viral-specific validations (Viral Layer A — hook, Viral Layer B — content + structure) and the "would I repost this?" final pass. Full validation checklist: [references/validation.md](references/validation.md).
**Delete the water, not the function.** The CTA and the micro-conclusion are working parts, not decoration — writer's default treatment is deletion, and a post that reads cleaner but asks for nothing has stopped doing its job. Treat them by replacement or simplification. After the pass, verify the CTA survived. See `forbidden-substitutions.md` in the `writer` skill.
If length exceeds limit — trim the longest point first, preserving CTA and micro-conclusion.
IMPORTANT: Do NOT show intermediate validation steps to the user. Only show the final clean text. The cleaning happens silently. If you had to make significant fixes, you may briefly note: "Cleaning fixed N issues" after the text.
Each platform has its own length limit, audience, and tone (Telegram 4096 chars / deep, Threads 500 / energetic, Instagram 2200 / emotional, Twitter 280 / sharp, LinkedIn 3000 / professional-alive, Facebook any / warm). Default: Telegram. Full table: [references/platforms.md](references/platforms.md).
(Most typography enforced by writer. Viral-specific additions only.)
User says: `/viral-text [topic]` Optional params (user can specify inline):
45 skills for Claude Code that make content — and refuse to let it read like a machine made it. Prose editing that strips the tells. Prompt engineering for 40+ image, video and music models, with optional one-command execution against the real APIs.
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