Individual skill
tweet-writing
Draft or revise tweets and quote posts for swyx or Latent Space using real peer examples, source material, and the account's voice.
tweet-writing/SKILL.md
Source commit 1acf58f08cca24b764a4352a6c30fed1f7fb9fb6
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 7, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 197
- Repository last updated
- Nov 9, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- writing Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 8,255 bytesSKILL.mdcore · 8,255 bytesSKILL.mdcore · 8,255 bytesSKILL.mdcore · 8,255 bytesSKILL.mdcore · 8,255 bytesSKILL.mdcore · 8,255 bytesSKILL.mdcore · 8,255 bytesreferences/launch-and-promotion.mddoc · 24,236 bytesreferences/liked-author-leads.mddoc · 2,283 bytesreferences/media/ali-quantization-code.jpgasset · 73,543 bytesreferences/media/ali-quantization-diagram.jpgasset · 55,777 bytesreferences/media/ali-quantization-logits.jpgasset · 49,858 bytesreferences/media/bertgodel-ultramarine.jpgasset · 73,229 bytesreferences/media/bhalligan-podcast.jpgasset · 67,322 bytesreferences/media/elcine-animation.jpgasset · 72,683 bytesreferences/media/elcine-animators.jpgasset · 85,026 bytesreferences/media/elcine-quoted-video.jpgasset · 87,505 bytesreferences/media/epoch-benchmark-reviews.jpgasset · 48,597 bytesreferences/media/epoch-survey-chart.jpgasset · 58,320 bytesreferences/media/geoffrey-understanding-talk.jpgasset · 35,042 bytesreferences/media/google-tabfm-graphic.jpgasset · 40,575 bytesreferences/media/google-timesfm3-architecture.jpgasset · 90,295 bytesreferences/media/helena-fish-audio-demo.jpgasset · 27,315 bytesreferences/media/helena-fish-audio.jpgasset · 72,596 bytesreferences/media/jxnlco-launch-video.jpgasset · 57,734 bytesreferences/media/jxnlco-openai-recruiting-video.jpgasset · 30,852 bytesreferences/media/milichab-coaster.jpgasset · 124,733 bytesreferences/media/milichab-mail-announcement.jpgasset · 68,922 bytesreferences/media/milichab-notion-mail-teaser.jpgasset · 11,359 bytesreferences/media/mrinal-exponents.jpgasset · 53,889 bytesreferences/media/mrinal-redis.jpgasset · 12,134 bytesreferences/media/mrinal-tier-list.jpgasset · 84,499 bytesreferences/media/nathan-trillium-labs-launch.jpgasset · 31,099 bytesreferences/media/olivia-agentic-browser-podcast.jpgasset · 90,984 bytesreferences/media/olivia-ai-apps-2024-mobile.jpgasset · 85,676 bytesreferences/media/olivia-ai-apps-2024-web.jpgasset · 85,211 bytesreferences/media/olivia-ai-apps-2025-4-mobile.jpgasset · 70,471 bytesreferences/media/olivia-ai-apps-2025-4-web.jpgasset · 63,800 bytesreferences/media/olivia-ai-apps-2025-5-mobile.jpgasset · 51,865 bytesreferences/media/olivia-ai-apps-2025-5-web.jpgasset · 52,120 bytesreferences/media/olivia-ai-productivity-map.jpgasset · 81,661 bytesreferences/media/olivia-apps50.jpgasset · 85,305 bytesreferences/media/olivia-startup-revenue-benchmark.jpgasset · 81,057 bytesreferences/media/olivia-top150-mobile.jpgasset · 85,138 bytesreferences/media/olivia-top150-revenue.jpgasset · 86,576 bytesreferences/media/olivia-top150-web.jpgasset · 83,293 bytesreferences/media/philip-inference-book-launch.jpgasset · 48,019 bytesreferences/media/philip-inference.jpgasset · 71,095 bytesreferences/media/quinten-tolan-film.jpgasset · 74,087 bytesreferences/media/waterloo-22580-article.jpgasset · 89,512 bytesreferences/media/waterloo-kernel-article-cover.jpgasset · 59,666 bytesreferences/media/waterloo-kimi-promo-video.jpgasset · 71,595 bytesreferences/media/waterloo-masterclass-diagram.jpgasset · 99,671 bytesreferences/media/waterloo-masterclass-highlight.jpgasset · 9,336 bytesreferences/media/waterloo-masterclass-overlap.jpgasset · 74,641 bytesreferences/media/waterloo-masterclass-quoted-clip.jpgasset · 27,018 bytesreferences/partial-media-captures.mddoc · 2,176 bytesreferences/unverified-research-queue-2026-10-21.mddoc · 18,226 bytes
Read excerpt
# Tweet writing
The user rejected generic promotional copy and a first research sample drawn
from very large accounts. Treat this skill as a starting point to improve with
feedback, not a finished house style.
## Research the right examples
For inspiration, study accounts @swyx follows with at most 200,000 followers.
The user explicitly named four exceptions to the follower cap: [@aakashgupta](https://x.com/aakashgupta),
[@creatine_cycle](https://x.com/creatine_cycle), [@lennysan](https://x.com/lennysan),
and [@GergelyOrosz](https://x.com/GergelyOrosz). Search X as @swyx using
`filter:follows min_faves:200` and verify the follow relationship, follower
count, and at least 200 likes when collecting examples. Record when the counts