Sundial retweetledi
Sundial
24 posts
Sundial
@sundialmd
A document editor built for human-agent collaboration. Run by @belindmo @turboblitzzz
Katılım Ekim 2025
93 Takip Edilen167 Takipçiler
This explains part of the motivation behind Sundial
Belinda@belindmo
Reviewing agentic work matters more than ever. As AI agents do more of the research, the bottleneck becomes reviewing the work. My ICML position paper argues that science in the age of agents needs three things: observability, attribution, reproducibility.
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Sundial retweetledi
love this!! 😍 actual collab >>> outsourcing the thinking
turboblitz@turboblitzzz
Today we're introducing Sundial, a new kind of document editor built for human-agent collaboration at scale. Agents should be a force multiplier our intentions. The bottleneck is not generation anymore, but supervision and review. Building the right systems of record will be key to keeping humans at the center of knowledge work.
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Sundial retweetledi
Sundial retweetledi
Today we're introducing Sundial, a new kind of document editor built for human-agent collaboration at scale.
Agents should be a force multiplier our intentions. The bottleneck is not generation anymore, but supervision and review.
Building the right systems of record will be key to keeping humans at the center of knowledge work.
English
@PeterSkott 5/ If your AI agent keeps making the same mistakes every session, start here.
Try it: sundialhub.com/pskoett/self-i…
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@PeterSkott 4/ Honest take:
✅ Stupidly simple concept. Surprisingly effective.
✅ One of the only skills focused on 𝘱𝘳𝘰𝘤𝘦𝘴𝘴, not output
⚠️ Works best when you actually correct the agent rather than re-prompting from scratch
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1/ "I kept having the same experience with AI coding agents: they'd make a mistake, I'd correct them, and later they'd make the exact same mistake again." — gwangee on Hacker News
That's exactly what "Self Improvement" by @PeterSkott (173K installs) fixes. It logs errors, corrections, and lessons so your agent stops tripping over the same stuff twice.
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Sundial retweetledi
We're co-hosting one of the largest hackathons of the year with @agihouse_org on March 14.
Come if you want to build:
- New agent skills to turn your workflows into reusable playbooks
- Skill benchmarks to measure and improve them
- Self-improving skills for continual learning with just a filesystem
- Skill orchestration and metaskills
We'll have speakers from @sundialhub, @GoogleDeepMind , @xai, Adept AI, @inworld_ai, @moonlake, @benchflow_ai, @LaudeInstitute, @skillbossAI and more.
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Sundial retweetledi
we have >50k agent skills for OpenAI, Gemini, Claude, and more gathered now at sundialhub .com 👀☀️ they are security verified, versioned, and semantically searchable ☀️✨ @claudeai @OpenAI @GeminiApp
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Sundial retweetledi
Join us for the largest skills hackathon ever!
Belinda@belindmo
OpenClaw has 226k stars and 10k+ skills!! But 90% of agent skills are barely useful. Vibe-coded with the wrong context, they don't work or make things worse. However, when they're built well, skills save you so much time and energy. That's why they're used internally across teams at the major research labs. @bcherny @OfficialLoganK @kevinweil We need way more high-quality, vetted skills. Come to the first agents skills hackathon: skillathon.ai
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Come to the first agent skills hackathon, in SF March 6-7!
Belinda@belindmo
OpenClaw has 226k stars and 10k+ skills!! But 90% of agent skills are barely useful. Vibe-coded with the wrong context, they don't work or make things worse. However, when they're built well, skills save you so much time and energy. That's why they're used internally across teams at the major research labs. @bcherny @OfficialLoganK @kevinweil We need way more high-quality, vetted skills. Come to the first agents skills hackathon: skillathon.ai
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Sundial retweetledi
Sundial retweetledi
Sundial retweetledi
You can now install the tinker skill for Claude Code in seconds
Belinda@belindmo
Did you know that Claude Code is so powerful now that it can fine-tune models for you? We made a Claude Code skill using @thinkymachine's Tinker to fine-tune models ->
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