AI Skills for Agents, Founders and Engineers
For engineers and agents, to change how a decision gets reasoned about rather than what gets built.
npx skills@latest add zaidmukaddam/skillsThree are working rules about how changes get made, one drafts against a published ranking model, and three more are general methods. The rest apply the judgment of a particular person. Each ends with the cases where it goes wrong, so two of them disagreeing is more useful than one being confident. Source on GitHub.
Available Skills
no-scripted-editing- Never edit tracked files by running a script. No sed, no perl, no one-liners that write files, because each lands a change with no reviewable diff.pr-discipline- Decide whether work is one pull request or a stack before writing it, and keep the description matching the diff as it exists now.commit-discipline- One line, a conventional type prefix, lowercase after the colon, no body. A body is the rare exception, not the default.draft-x-post- Draft against what the published For You ranking code rewards. A private share outranks a like by a wide margin, and irritation costs more than everything else earns.think-first-principles- Rebuild a decision from what must be true rather than from precedent, then name the cheapest test that settles the rest.think-like-a-staff-engineer- Treat the decision as the unit of work, not the diff. Design the interface twice, and build a feedback loop before a theory.think-like-a-design-engineer- Own the shipped result rather than the handoff, and verify in the running interface.think-like-zaid- The engineering standards for these codebases, where unverified claims count as defects.think-like-rauchg- Count the round trips and delete one, and design the limits in from the start.think-like-leerob- Let the artifact carry the argument, and name the confounders behind any single number.think-like-shadcn- Ship open code the consumer owns, with great defaults and an escape hatch to zero.think-like-thdxr- Price what actually gets consumed rather than the sticker rate.think-like-dillon-mulroy- Plan at the call-stack level before any code exists, and design for the person debugging at 2am.think-like-theo- Stop asking how much code to read and start asking how much to generate.think-like-dok2001- Pick the cheapest compute primitive that fits, and argue from traffic composition rather than benchmarks.think-like-karpathy- Predict capability from what the supervision signal can verify, and name where your analogy breaks.think-like-naval- Treat truth as the goal rather than a tactic, and prefer explanations that are hard to vary.think-like-garrytan- Judge by outcomes rather than inputs, and ask who is funded by the problem continuing.think-like-sama- Commit to a dated goal with the failure probability stated, and concede errors in the first clause.think-like-elonmusk- Find the actual limiting factor and solve only that, and gate releases on a condition rather than a date.