What’s New in VEKTOR Slipstream 1.7.6: Faraday, Jot & Skills Updates | by Vektor Memory | Jul, 2026 | MediumSitemapOpen in appSign up<br>Sign in

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Agentic work is the majority of what people do with Claude and similar tools now. This release is us actually building specifically for those tasks.<br>Ten tailored skills, built for how people actually work with agents now<br>Faraday keeps getting better at detection.<br>JOT actually looks and behaves better with design improvements<br>The reliability pass underneath all of it<br>Where that leaves 1.7.6

What’s New in VEKTOR Slipstream 1.7.6: Faraday, Jot & Skills Updates

Vektor Memory

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Agentic work is the majority of what people do with Claude and similar tools now. This release is us actually building specifically for those tasks.<br>Press enter or click to view image in full size

Most of what slows an agent down is the overthinking and missing harness tools.<br>The setup you have to explain every time, the security question you never quite get a straight answer to, the interface that almost does what you want but fights you on the last ten percent with paragraphs of thinking text.<br>1.7.6 is a release aimed squarely at that surrounding layer: ten refined skills built for agentic workflows specifically, a real hardening pass on Faraday, our security gate, and a set of JOT interface fixes that make the writing and research panel interact the way it was designed to.<br>Ten tailored skills, built for how people actually work with agents now<br>Skills are one of the more underused parts of working with Claude. A skill is a small, self-contained instruction file that Claude loads only when it’s relevant, and a good one turns a task you’d otherwise re-explain every session into something the agent acts fast and with accuracy on.<br>We went looking at what the wider Claude ecosystem has built, reviewed a large subset of existing plugins and a large collection of community skills, and pulled out the ten that filled real gaps in what VEKTOR ships with, without overlapping anything we already had.<br>A few worth calling out specifically. Token conservation gives an agent explicit discipline around what to read and how much, instead of pulling in whole files when a targeted search would do. Agent delegation gives a clear decision framework for when a task should be handed off to a subagent versus handled directly, which matters a lot more now that most serious work is multi-agent by default.<br>Task orchestrator manages a backlog of work across a full pipeline rather than treating each task as a one-off. PR prep runs a proper self-review checklist before code goes out the door. Writing rules and slop detector both catch the specific tells of AI-generated text that reads as generic or unearned, phrase patterns, structural tics, claims without evidence, before a human reader has to.<br>Each one was rewritten to actually work in the tools available in this kind of session rather than assuming a different product’s feature set, and then tested for real rather than assumed to work.<br>We took the slop detector skill specifically and had a fresh agent in co-work, with no memory of building it, apply it cold to our own README. It caught a genuine, unbacked benchmark claim and a latency figure that contradicted another number elsewhere in the same document. That’s exactly the kind of thing a skill should do: catch what a human skimming past it would miss.<br>Token conservation — read-budget discipline; pulls targeted excerpts instead of whole files, cutting wasted context.<br>Agent delegation — a clear framework for when to hand a task to a subagent versus doing it directly.<br>Task orchestrator — runs a multi-item backlog through a full pipeline instead of treating each item as a one-off.<br>PR prep — a self-review checklist to run before code goes out, catching the obvious stuff before a human has to.<br>Writing rules — documents and enforces house style/guardrails so output stays consistent across sessions.<br>Slop detector — flags generic AI-writing tells: unearned claims, filler phrasing, structural clichés.<br>Onboarding — a staged reading order for getting an agent (or a person) oriented in an unfamiliar codebase fast.<br>Debugging wizard — a systematic method for tracking down bugs instead of guessing and poking.<br>Legacy modernizer — a incremental approach to migrating old code forward without a risky big-bang rewrite.<br>Test master — strategy and discipline for writing tests that actually catch regressions, not just pad coverage.<br>Faraday keeps getting better at detection.<br>Faraday is the security gate that sits in front of every consequential action an agent tries to take, a memory write, a file operation, a remote command, and checks it before it happens. We’ve written before about being precise regarding what it actually does versus what it sounds like it does, and this release is more of that same refined discipline applied to closing real gaps rather...