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THE DROPS
🛠️ Ponytail Fixes Claude's Worst Habit
Ponytail is a skill that makes your agent write less code
API style carrier. Hidden in email and web. Carries the sponsor-logo plate CSS in its theme.
The best engineering review I ever heard described was a guy who said nothing, looked at fifty lines, and replaced them with one. Today's lead drop turns that into a skill you install. Not a smarter model. A rule that stops your agent from reaching for a library when a single line does the job. The gap between a model that can write code and one that knows when not to is where a lot of the value is right now.
Repoponytail
173,221 stars · DietrichGebert/ponytail
A Claude Code skill that makes your agent write the smallest correct solution instead of the first one it thinks of.
Here is the real problem it solves. Agents default to installing a library or scaffolding a pattern when the task needs one function. That bloats your codebase and your token bill without making anything safer.
Quick start: install the skill in Claude Code, then ask for something you'd normally expect boilerplate for, like a date picker.
Catch: benchmarked on 39 tasks, including a real FastAPI plus React repo, five runs each. That's a real test, not a universal guarantee across your stack.
AffiliateHubSpot
The same discipline that makes an agent write one line instead of fifty applies to your customer data too, and most teams are still bolting a model onto a CRM that was never built to run one. HubSpot, a CRM with prebuilt AI agents that run on the customer record. A Customer Agent answers support, a Prospecting Agent researches and drafts outreach, a Data Agent answers questions about any contact or company, no plumbing to build first. The CRM underneath has a free tier.
Use it for: putting support, prospecting and data agents on the record your team already keeps.
We may earn a commission.
Repoknowledge-work-plugins
31,499 stars · anthropics/knowledge-work-plugins
Anthropic's own open-sourced plugin marketplace, bundling skills and connectors so Claude works like a specialist for a specific job function.
Use it for: 10 role-based plugins (sales, productivity, and more) plus one for building your own, with connectors for tools like Slack, Notion, Jira and HubSpot depending on the plugin. Built for Claude Cowork, and it works in Claude Code too.
Catch: out of the box gives a strong starting point. The real value is customizing each plugin to your own tools and terminology, which is still work.
MCPGrandet
611 stars · hanzohanzhe/Grandet
A remote MCP server that finds the cheapest listed API for any model and connects it straight from your agent.
Use it for: ask your agent "find me the cheapest Claude Sonnet 4.6 API" and it looks up listed prices across official APIs, inference providers, and relay sites with no sign-up required.
Catch: it compares listed prices. Actual throughput and reliability of a cheap relay are yours to verify before you route production traffic through one.
Repomission-control
6,388 stars · builderz-labs/mission-control
A self-hosted control plane for dispatching tasks, reviewing runs, and tracking spend across OpenClaw, Claude Code, Codex, and other agent runtimes.
Use it for: one local dashboard, backed by SQLite, if you're running more than one agent and losing track of which one did what and what it cost.
Catch: the maintainers label it alpha software. APIs and schemas may change between releases, and it carries explicit security guidance before you expose it to a network.
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Start Here
If you haven't already the real place you should start is with our
The AwakeningWrite a connection note LinkedIn won't flag as a pitch
One prompt today instead of a how-to. It is one of ours, tested on ChatGPT and Claude. Copy it, paste it into the free app you already use, and fill in who the person is, how you found them, and what you actually have in common.
Who they are: [WHO]
How I came across them: [HOW I FOUND THEM]
What we actually have in common: [REAL LINK]
Do I want anything from them right now: [MY INTENT]
Rules:
- Before anything else, check what we actually have in common. If the only thing is being in the same industry, including when all I have under How I came across them is a search result, say so, tell me what to look for on their page before I send anything, and stop there rather than writing a note anyway.
- Under 300 characters including spaces. Count them and show me the count. If the box on my screen shows a different limit, use that number instead.
- One real reason for connecting, taken from what I wrote under What we actually have in common. If it says "nothing yet", say so plainly and build the note around the specific thing of theirs I read or saw, naming it.
- No pitch, no link, no offer, no meeting request, even if what I wrote under Do I want anything from them right now says I want one. That comes later.
- No flattery I cannot back up. Nothing like "your work is inspiring".
- Write it the way I would speak, not the way a company writes.
Give me, in this order:
1. The note, with the character count in brackets after it.
2. A second version under 200 characters.
3. The first message to send if they accept, under 60 words, still with no pitch in it.
4. The line in the note that would make a stranger accept, and the line that would make them ignore it.
The line that makes it work: "If the only thing is being in the same industry, including when all I have under How I came across them is a search result, say so, tell me what to look for on their page before I send anything, and stop there rather than writing a note anyway." Most connection-note prompts write a note no matter what you feed them. This one checks whether you have a real reason first, and refuses to fake one if you don't.
TRY THIS: open LinkedIn, pick one person you were about to send a generic request to, and run the prompt with what you actually know about them instead of guessing.
This is one of 100 in the AIgent prompt pack. The other 99, plus guided builds with Mike on video, are inside the AIgent membership: Join the AIgent membership. Seven days free, then $29 a month. One click to stop.
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Recommended
Once you've got the note that earns a reply, the next bottleneck is where that conversation lives once it turns into a task nobody owns. ClickUp, one workspace for tasks, docs, and chat brings your tasks, docs, chat, and goals into one place so a small team stops switching between seven apps, free to start. We may earn a commission. |
Frontier Signals
1Password launched a way for agents to log into your accounts without ever holding your password. A digital key confirms the agent's identity, you approve the login, and the credential itself never leaves the vault. It's a real answer to "what happens when my agent needs my passwords" that isn't "paste them into a .env file." (TechCrunch)
333 Tor exit nodes were hijacked for three days to intercept SSH traffic and plaintext email. Attackers got into a management server with a reused password, then planted a twelve-year-old Linux backdoor on two more. If you're running anything sensitive over Tor for agent traffic, this is the reminder that the attack surface is still the oldest one: reused credentials. (Ars Technica)
Modal crossed a billion dollars in annualized run rate and closed a $750 million Series D at a $16 billion valuation. The number matters less than what it signals: serverless GPU infrastructure for agent workloads just became a category investors believe is durable, not a phase. If you're renting compute by the sandbox-second, the category is getting more competitive, not less. (Latent Space)
DeepSeek open-sourced DeepInfer, the inference framework that actually runs its production models at scale. It ships optimized kernels, deterministic sampling, and structured outputs, the unglamorous plumbing most labs keep closed. Open infrastructure from a frontier lab is rarer than open weights, and it's the part that actually tells you how to serve a model cheaply. (DeepInfer)
Couchbase shipped an AI data plane claiming semantic caching cuts LLM calls by 40 to 60 percent. It bundles managed agent memory and an MCP server on AWS into one platform, aimed at enterprise teams stitching together fragmented data services. Worth a skeptical look if your agent's token bill is mostly repeated context, not new reasoning. (PR Newswire)
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Before You Go
The real lesson in today's hero isn't the agent, it's the discipline wrapped around it. Same model, same prompt, one rule that says write only what the task needs. That's worth stealing for more than code.
What's the smallest rule you've added to your own stack that paid off bigger than it should have? Hit reply, I read all of them.
See you Monday.
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