share
Turn a BS report (or any analysis result) into ready-to-paste posts for X/Twitter, LinkedIn, Facebook, Reddit, Hacker News, or a newsletter issue — plus a…
Skill by SerhiiKorniienko
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/serhiikorniienko-share
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, marketing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/share
What's inside
- Skill name
share- Description
- Turn a BS report (or any analysis result) into ready-to-paste posts for X/Twitter, LinkedIn, Facebook, Reddit, Hacker News, or a newsletter issue — plus a branded image carousel (PNGs + PDF) for visual platforms. Use when the user wants to share, post, publish, or promote a report, asks for "a thread", "a LinkedIn post", "a carousel", or "format this for X".
- License
- MIT
- Instructions
- 50 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- PLATFORMS.md
- SKILL.md
- VERSION
- render_carousel.py · scripts/
SKILL.md (first lines)
# share
Take a finished report and produce platform-native content, ready to paste. Nothing generic: each platform gets its own format, length, and link etiquette.
## Workflow
1. **Locate the report.** A file the user points at, the report from this conversation, or — if there is none — offer to run the `bullshit-detector` skill first.
2. **Ask which platforms** if not stated. Default set: X thread + LinkedIn post.
3. **Write the posts** following the per-platform specs in [PLATFORMS.md](PLATFORMS.md) exactly — hooks, length limits, link placement. Output each as a separate fenced block the user can copy verbatim.
4. **Carousel (if requested or if the platform benefits):** extract the report into a `slides.json` (schema below) and render:
```bash
uv run <this-skill-dir>/scripts/render_carousel.py slides.json -o carousel/
```
First run needs a one-time browser install: `uv run --with playwright playwright install chromium`. Output: `slide-N.png` (1080×1350, works on X, LinkedIn, Instagram) + `carousel.pdf` (LinkedIn document post).
## slides.json schema
```json
{
"title": "Video/article title",
"source": "Author · Platform · 1.16M views",
"score": 5,
"verdict_line": "Real tools, fantasy income math",
"footer": "@their-handle · their-link (the sharer's, not the tool author's — see rules)",
"slides": [
{ "type": "hook" },
{ "type": "claim", "n": "1/12", "claim": "Quoted or paraphrased claim, ≤200 chars",
"verdict": "misleading", "evidence": "One-sentence reality, ≤160 chars" },
{ "type": "cta", "headline": "Run it on anything",
"lines": ["the sharer's own links — ask, don't assume"] }
]
}
```
Verdicts: `confirmed` / `plausible` / `misleading` / `false` / `unverifiable` / `not checked` — the same six the report uses, and the renderer rejects anything else rather than guessing a colour. Pick 3–4 claim slides — the spiciest verdicts with the strongest evidence, not the first four. Hook and CTA slides bookend them.
A `not checked` claim renders, but think before using one: it carries no verdict and no evidence by definition, so it makes a weak slide and a reader may take the empty cell for a finding.
## Rules
- **The report is the content; the tool is the footnote.** Hooks lead with findings ("12 claims, 3 misleading"), never with "I built a tool".
- **Footer and CTA belong to the person sharing.** Ask for their handle/newsletter/links (or omit those slides) — never default to the tool author's branding. Crediting the tool is welcome but optional: one line like "made with bullshit-detector" is plenty.
- Numbers must match the report exactly — a fact-checking brand cannot round its own stats.
- Stay honest in compression: if the report's verdict is nuanced ("competent hype, not a scam"), the post says that too. No rage-bait the report doesn't support.
- Never fabricate engagement bait ("everyone is talking about this").
- Each platform block must be paste-ready: correct length, line breaks, and links already positioned per PLATFORMS.md.From SerhiiKorniienko/bullshit-detector, MIT.
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Compare and alternatives
Featured in
Signals
- Stars
- 160
- Forks
- 10
- Open issues
- 5
- Last commit (this folder)
- Sep 29, 2026 (28 days ago)
- Last release
- Sep 29, 2026 (28 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from SerhiiKorniienko
- 0.790score
bullshit-detector
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Fact-check and hype-audit content.
SkillAFreshness: A★ 160Claude Code +9 - 0.790score
coverage-check
SerhiiKorniienko
Count how many independent origins are behind news coverage of a claim, instead of counting URLs.
SkillAFreshness: A★ 160Claude Code +9 - 0.790score
fetch-content
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Fetch and normalize any content source into clean text with metadata — YouTube video transcripts, TikTok captions, web articles, PDFs, tweets/X posts, local…
SkillAFreshness: A★ 160Claude Code +9 - 0.790score
report-card
SerhiiKorniienko
Render a finished BS report as a self-contained HTML page — score hero, filterable claims, readable on a phone, prints to a clean PDF.
SkillAFreshness: A★ 160Claude Code +9 - 0.785score
explain
SerhiiKorniienko
Explain content or any concept inside it at the depth the user needs — ELI5, practitioner level, or expert deep-dive — with a jargon glossary and context the…
SkillAFreshness: A★ 160Claude Code +9 - 0.785score
summarize
SerhiiKorniienko
Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch…
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Cite this page
share skill. Agent Mart. https://agentmart.dev/skills/serhiikorniienko-share (last updated 2026-10-24)