Agent skills for Zed

Use this agent when you need to track operational expenses, manage domain registrations, or get hosting recommendations.

Project knowledge accumulation system - learn from practice, avoid repeating mistakes

Apply when product, UX, or feature-scope tradeoffs come up.

Structure a direct experience into a full learning cycle with concrete experience, reflection, and conceptual transfer.

Audit experiment integrity before claiming results.

Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap.

Use when designing experiments for subject lines, offers, cadences, or

Guides work on `packages/frontend/editor-ui` experiments. Use when creating, extending, wiring, testing, reviewing, or retiring editor-ui experiments, PostHog feature flags, experiment key indexes,…

The student is unsure whether to use the expert opinion style or the judgment style.

Require the learner to explain a concept in their own words before the AI evaluates or extends it.

Create a durable, visual teaching artifact — plus an optional check-in (predict-then-reveal for diffs, corrected exercises) that makes it…

Generates a reviewer-facing HTML explanation page for the current branch's pull request, publishes it to gh-pages for public repositories…

Use when dense technical reports, status updates, incidents, errors, decisions, or prior answers need to be restated for a nontechnical…

Automatically explain every completed implementation from repository and verification evidence; also use whenever someone requests a…

Explicit Identity Across Boundaries

Exploits the Zerologon vulnerability (CVE-2020-1472) in the Netlogon

Profile and explore a dataset to understand its shape, quality, and patterns.

Explore and compare multiple meaningfully different UI directions grounded in the current project's design system and 21st inspiration.

Use this skill when the user gives a request or prompt requiring non-trivial work.

First-encounter orientation on a repository nobody here has worked in yet.

Investigate AI observability clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency…