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Superpowers just crossed 274,855 stars, and that number alone tells you something the AI labs won't: operators stopped waiting for the next model and started building their own methodology instead. obra/superpowers is a skills framework, a way to give Claude Code (or any agent) a repeatable software development process instead of a fresh improvisation every session. I've watched agents forget the plan mid-task more times than I'd like to admit. This is the fix operators are actually adopting, not the one labs shipped.
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Your competitor just replied. You're still typing.
A lead comes in on Instagram. Another on Messenger. Three more on SMS.
Your team switches tabs, repeats answers, and loses context while hot leads wait hours for replies. At 2am, nobody responds at all.
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The Drops
Reposuperpowers
274,855 stars · obra/superpowers
An agentic skills framework and software development methodology built for Claude Code and compatible agents.
Here is the real problem it solves. Agents lose the plan across a long session, re-deriving process instead of following one. Superpowers packages the process as reusable skills the agent invokes on demand.
Quick start: clone it, point Claude Code at the skills directory, and let it pull a skill instead of freelancing the approach.
Catch: it's a methodology, not a magic fix. You still have to write good skills, or borrow the ones shipped.
AffiliatePlesk
Once you're running something like vllm or a skills framework on your own server instead of a hosted API, the server itself becomes the thing you have to operate, not just the model. Plesk, a control panel for the server your app runs on. Manage sites, domains, databases, SSL, and backups from one GUI instead of raw SSH. When you self host an AI app on a VPS, it turns server ops into clicks.
Use it for: keeping a self-hosted app's server managed from one panel, no raw SSH required.
We may earn a commission.
Repovllm
89,549 stars · vllm-project/vllm
The high-throughput serving engine behind most self-hosted LLM deployments that don't fall over under load.
Use it for: serving your own fine-tuned or open-weight model at production throughput instead of paying per-token to a hosted API.
Catch: PagedAttention gets you the throughput, but you still need GPU capacity to feed it.
RepoUnderstand-Anything
79,925 stars · Egonex-AI/Understand-Anything
Turns any codebase into an interactive knowledge graph you can search and question instead of grepping blind.
Use it for: onboarding an agent (or yourself) onto an unfamiliar repo in minutes, works with Claude Code, Codex, and Cursor.
Catch: a graph that teaches beats one that impresses, but you still have to read it.
Repocareer-ops
66,513 stars · santifer/career-ops
An open-source job search agent that scans portals, scores listings A-F, and tailors your CV, all running locally in your coding agent.
Use it for: turning a job hunt into a pipeline instead of forty open tabs, no cloud dependency.
Catch: the scoring rubric is only as good as the listings it's fed, verify before you trust the "5.0."
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Start Here
Tell it what you do not want.
Vague instructions get vague results. "Make this better" gives the model a thousand directions to guess wrong in. Constraints narrow the guess to something usable. Here's the move:
1. Write your request like normal.
2. Add a second line that starts with "Do not" and name the specific thing you're tired of seeing, too long, too formal, too many bullet points, whatever it actually is.
3. If you get a result you don't like, don't just ask for "better," tell it what was wrong with THIS one specifically.
4. Stack constraints as you go. Each "do not" narrows the next answer closer to what you actually wanted.
5. Save the constraints that worked. That's your real prompt now, not the first one you tried.
TRY THIS: Take the last AI response that annoyed you, and reply with one line: "Do not [the specific thing that was wrong]. Try again."
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Recommended
Once you're comfortable narrowing an AI's output with constraints, the next lever is narrowing the entire tool: a builder where you tell it what you want your app to do and skip the code that gets it wrong the first time. Bubble, the no-code app builder is where you build and ship a real web or mobile app with drag and drop design, workflows, and a database, no code required, free to start. We may earn a commission. |
Frontier Signals
Grok will leak your data if the attack is encrypted first. Researchers found that wrapping malicious instructions in cryptographic encoding routes around Grok's safety guardrails entirely, a reminder that "safe" filters often only catch attacks in plaintext. (Ars Technica AI)
Google is giving publishers a button to fight back against AI search. The new "preferred source" control lets sites request priority placement across Search, Discover, and Google News as AI answers keep sending fewer clicks downstream. If you run content as a channel, this is the first lever Google's handed back. (TechCrunch AI)
Simon Willison ran Claude Fable 5 as a research agent against its own sandbox problem. He tasked it with evaluating smolmachines/smolvm as an isolation layer for running untrusted Python and JavaScript, the exact boundary you need before you let an agent execute arbitrary code from the internet. (Simon Willison)
Engineering teams are compressing migrations that used to take years into weeks. Asana finished a full testing-framework migration in two weeks using AI-assisted tooling, work they'd have delayed indefinitely under the old timeline. The compression thesis keeps showing up in unglamorous places, not just demos. (Pragmatic Engineer)
Anthropic is quietly inserting watermark text into Claude's writing output. Critics are calling it adulteration of the actual prose, not a metadata tag, meaning what you copy out of Claude may carry alterations you didn't ask for and can't see. Worth checking your pipeline for it. (Hacker News)
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Recommended reading
If you like The AIgent, a small group of operator-tier publications worth your inbox: see the shortlist. |
What are you building with right now?
Before You Go
Reply and tell me one constraint you've added to a prompt that actually fixed a recurring problem, I'm collecting the good ones and I'll run the best in a future issue. If Superpowers changes how your agent behaves this week, I want to know what broke and what got better.
See you Monday.
Before you go: we started a room for people actually building with agents. Drop your best Claude Code skill. Join the community →
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