Claude
Skill
summarize
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 it. Use when the user asks to summarize a link or file, wants a TLDR, or asks "what does this video/article say" / "is th
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Download
serhiikorniienko-bullshit-detector-skills_analysis_summarize-1a5955e.zip · 1 KB
Install
skills CLI
npx skills add https://github.com/SerhiiKorniienko/bullshit-detector/tree/main/skills/analysis/summarize
Claude Code
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install serhiikorniienko-bullshit-detector@llmmart
Git
git clone https://github.com/SerhiiKorniienko/bullshit-detector.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole serhiikorniienko/bullshit-detector collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
summarize
Give someone the content without the runtime.
Workflow
- Get the text. If the input is a URL and the
fetch-contentskill is installed, use its script; otherwise use your web fetch tool or ask for a paste. Keep the metadata. - Read fully, then write:
# <title>
**<author> · <platform> · <date> · <duration/length> · <views if notable>**
**TLDR:** one paragraph, ≤3 sentences — the actual thesis, not the topic.
## Key points
Bulleted. Each point = one idea, with [timestamp] or [p.N] so the
reader can jump to it. Preserve the content's own structure (if it
promises "14 ways", list all 14 — compressed, not truncated).
## Notable quotes
1–3 verbatim quotes that carry the content's voice, with locations.
## Worth your time?
One honest sentence per audience: who gains from the full version,
who is fine with this summary.
Rules
- Summarize what the content says, not what you think of it (that's the
bullshit-detectorskill — mention it if the content smells hyped, don't perform its job here). - Numbers, names, and claims must come from the content verbatim — no rounding, no "improving".
- If the content is listicle-shaped, the summary must contain the complete list. Never "...and 9 more ways".
- Scale length to source: a tweet gets 3 lines, a 3-hour podcast gets a full page.
Files (bullshit-detector)
-
SKILL.md 1.7 KB
--- name: summarize description: 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 it. Use when the user asks to summarize a link or file, wants a TLDR, or asks "what does this video/article say" / "is this worth watching". --- # summarize Give someone the content without the runtime. ## Workflow 1. **Get the text.** If the input is a URL and the `fetch-content` skill is installed, use its script; otherwise use your web fetch tool or ask for a paste. Keep the metadata. 2. **Read fully**, then write: ```markdown # <title> **<author> · <platform> · <date> · <duration/length> · <views if notable>** **TLDR:** one paragraph, ≤3 sentences — the actual thesis, not the topic. ## Key points Bulleted. Each point = one idea, with [timestamp] or [p.N] so the reader can jump to it. Preserve the content's own structure (if it promises "14 ways", list all 14 — compressed, not truncated). ## Notable quotes 1–3 verbatim quotes that carry the content's voice, with locations. ## Worth your time? One honest sentence per audience: who gains from the full version, who is fine with this summary. ``` ## Rules - Summarize what the content says, not what you think of it (that's the `bullshit-detector` skill — mention it if the content smells hyped, don't perform its job here). - Numbers, names, and claims must come from the content verbatim — no rounding, no "improving". - If the content is listicle-shaped, the summary must contain the complete list. Never "...and 9 more ways". - Scale length to source: a tweet gets 3 lines, a 3-hour podcast gets a full page. -
VERSION 7 B · in bundle
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