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Diagrams are the tax every technical explanation pays. You build the thing, then you burn an hour in a slide tool trying to draw what you built, and the drawing is stale by the next commit. A new agent skill treats that tax as optional: hand it the shape of a system, get back a diagram that moves, exports clean, and updates when you ask again. That is worth more shelf space than another wrapper.
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The Drops
Repoarchify
17,573 stars · tt-a1i/archify
An agent skill that turns a description of your system into a diagram, no drawing tool required.
Here is the real problem it solves. Architecture diagrams rot the moment you ship the next change, and redrawing them by hand never happens, so the doc lies to the next person who reads it.
Quick start: point it at your architecture, workflow, or sequence description and let it generate a self-contained HTML file with motion built in.
Catch: it draws what you describe, not what your code actually does, so a stale description still produces a wrong diagram.
AffiliateTheTop
The same discipline that makes an agent skill worth trusting for a diagram is what you want watching your inbox before you ever open it. TheTop, an AI chief of staff for your workday. Connect Gmail, Calendar, and Outlook and it filters the noise into one prioritized daily briefing, with background agents prepping context before you ask. For operators drowning in inputs.
Use it for: having background agents prep your meeting context before you ever ask.
We may earn a commission.
MCPnuphus-mcp
259 stars · mrpulor-gh/nuphus-mcp
A desktop automation MCP server that gives any agent real computer control: screen, mouse, keyboard, and Chrome.
Use it for: the last-mile automation that API-only agents can't reach, clicking through a legacy admin panel with no API.
Catch: full desktop control means full desktop blast radius. Sandbox it before you point it at anything with real data.
Skillanysearch-skill
5,933 stars · anysearch-ai/anysearch-skill
A unified real-time search skill that gives an agent web search, domain-specific search, parallel batch queries, and full-page extraction in one call.
Use it for: research agents that currently juggle three different search APIs and normalize the output by hand.
Catch: batch parallel search is fast, and fast means you can burn through a rate limit before you notice.
RepoSkyvern
22,851 stars · Skyvern-AI/skyvern
Browser automation that lets an agent click, fill, and navigate any web UI the way a person would, no site-specific scraper.
Use it for: the workflows stuck behind a login form and a JavaScript-heavy dashboard that no API ever covered.
Catch: it's slower than a hand-built scraper for any single site you run often enough to justify one.
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From Our Partners
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Aimfox lets sales teams, founders, and agencies rent dedicated LinkedIn profiles, start more conversations, and hand interested replies to existing sellers. See Aimfox Avatars.
Start Here
When the answer is wrong, say what is wrong instead of starting over.
Most people hit a bad AI answer and delete everything, retype the question, and hope. That throws away the one thing you already have: proof of exactly where it went wrong.
1. Read the answer and find the specific line, number, or step that's off.
2. Reply in the same chat: "This part is wrong: [quote it]. Here's what's actually true: [say the fact]."
3. Ask it to redo just that part, not the whole answer.
4. If it drifts again, get more specific about the wrong part, not more general about the whole task.
5. Keep the correction short. One sentence naming the error beats a paragraph explaining your frustration.
TRY THIS: Go back to the last AI answer that annoyed you and reply with one sentence naming exactly what's wrong. Don't start a new chat.
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Recommended
The same habit, naming exactly what's off instead of restarting, is what a tool needs to actually finish work on your behalf instead of guessing at it from scratch each time. Viktor, the AI that does the work in Slack is the step past chatbots: connect your tools and it executes marketing, ops, and finance tasks for you, free to start with credits included and no card required. We may earn a commission. |
Frontier Signals
OpenAI still can't fully explain its own Hugging Face breach. The debrief admits the company could have done more to stop its agents from going rogue, but leaves open why it didn't catch the pattern earlier. Anyone running autonomous agents against third-party infrastructure should read this as a warning about monitoring, not just prevention. (Wired)
Google shipped Gemini 3.5 Transcribe with automatic filler-word removal and jargon detection across 85-plus languages. For operators building voice pipelines, that's a transcription layer that ships cleaner than most post-processing scripts. (The Verge)
Alice, the AI-safety company formerly known as ActiveFence, raised $140M, bringing its total funding to $280M, to expand model defenses and enterprise guardrails. If you're shipping agents into anything regulated, guardrail infrastructure is becoming its own layer of the stack. (SecurityWeek)
Vercel's AI Gateway now routes to Muse Image, Meta Superintelligence Labs' first image model. One more model behind one gateway call means less vendor lock-in for anyone building an image pipeline today. (Vercel)
Apple refreshed the Mac Mini and Mac Studio with updated chips and AI upgrades. Desktop hardware is quietly becoming inference hardware, which matters if you've been renting GPU time you could be running at your desk. (CNBC)
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Before You Go
Hit reply and tell me what you built with the search skill or the diagram tool this week. I read every one.
If you're still redrawing the same architecture diagram by hand every sprint, today's hero fixes that in five minutes. Steal it before your next standup.
See you Friday.
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