claude

poteto

Lauren Tan's pstack engineering skills ported to Claude Code (MIT). Optional companion to deliver: design exploration, subsystem walkthroughs, multi-model review, blast-radius proofs, verification skills, unslop, 21 principles.

2 on GitHubby Lauren Tanv0.15.17MITupdated 16 days agoworkflow
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Plugin poteto from marketplace deliver in bendusz/deliver. Commands read from the repo's manifest — 16 days ago.

What it installs

Skills (40)

  • architect

    Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /poteto:architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.

  • arena

    Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /poteto:arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.

  • benchmark-checklist

    Vet a perf measurement (limiter, tuning, limits, errors, repeatability, relevance, and whether the work happened) before you report or act on it. Use when you run a benchmark or report a speedup or regression you measured.

  • blast-radius

    Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', or reviewing a small diff you don't trust.

  • bro

    Restate the last message in plain human language, with no jargon.

  • create-verification-skill

    Generate a project-local verification skill that drives your app the way a user does — any language, framework, or platform. Use for /poteto:create-verification-skill, \"make a control skill for this repo\", or when a project has no scripted way to prove UI/CLI/service behavior.

  • how

    Use for \"how does X work\", code walkthroughs before changing something, and placement / ownership / layering questions (\"where should this live\", \"which package owns this\", \"is this the right layer\"). Explains subsystem architecture, runtime flow, onboarding mental models. Use why for motiva

  • interrogate

    Use for \"interrogate\", \"adversarial review\", \"multi-model review\", \"challenge this\", \"stress test this code\", \"find blind spots\", or \"tear this apart\". Multiple LLM reviewers challenge changes from independent angles.

  • ketchup

    Catch the user up on everything in this chat since their last message, in plain words. Give each action item an executive summary with enough context to make the call. Use for /poteto:ketchup.

  • maintain-verification-skill

    Periodic pass that keeps a project's verification skill and feature map honest: parallel source readers per feature, one live session driving every feature, at most one PR of proven corrections. Use for /poteto:maintain-verification-skill or \"audit the verify skill\".

  • principle-attack-the-premise

    Apply when two or more fixes that share one premise have failed the same gate. Take a census of which actors hold the imbalance before the next fix, then question the premise instead of writing another fix that assumes it.

  • principle-boundary-discipline

    Apply when wiring validation, error handling, or framework adapters. Concentrate guards at system boundaries (CLI, config, network, external APIs); trust internal types and keep business logic in pure functions.

  • principle-build-the-lever

    Apply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks. Build the tool that does it or proves it (codemod, script, generator, or a skill your subagents follow) instead of working by hand. The tool is the artifact a reviewer can rerun.

  • principle-encode-lessons-in-structure

    Apply when you catch yourself writing the same instruction a second time, or notice a recurring correction. Encode the rule as a lint, metadata flag, runtime check, or script instead of more text.

  • principle-exhaust-the-design-space

    Apply when facing a novel UI interaction or architectural decision with no precedent in the codebase. Build 2-3 competing prototypes and compare side by side before committing.

  • principle-experience-first

    Apply when product, UX, or feature-scope tradeoffs come up. Choose user delight over implementation convenience; ship fewer polished features over more rough ones.

  • principle-explain-the-number

    Apply before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.

  • principle-fix-root-causes

    Apply when debugging. Trace each symptom to its root cause and fix it there; reproduce first, ask why until you reach it, resist nil-check guards that silence crashes.

  • principle-foundational-thinking

    Apply before writing logic: choosing core types and data structures, sequencing scaffold-vs-feature work, asking what concurrent actors share. Get the data structures right so downstream code becomes obvious.

  • principle-guard-the-context-window

    Apply when context is filling up: large outputs, long files, repeated reads, fan-out planning. Route bulk to subagents; keep summaries in the main thread, not raw payloads.

  • principle-laziness-protocol

    Apply when refactoring, evaluating diff size, or tempted to add abstractions, layers, or signal threading. Bias toward deletion and the smallest change that solves the problem.

  • principle-make-operations-idempotent

    Apply when designing commands, lifecycle steps, or processing loops that run amid crashes, restarts, and retries. Converge to the same end state regardless of partial prior runs.

  • principle-migrate-callers-then-delete-legacy-apis

    Apply when introducing a new internal API while old callers still exist. Migrate callers and delete the old API in the same wave instead of preserving compatibility layers.

  • principle-minimize-reader-load

    Apply when reviewing or shaping code that's hard to trace. Count layers between question and answer, and hidden state in the reader's head; collapse one-caller wrappers and shrink mutable scope.

  • principle-model-the-domain

    Apply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files.

  • principle-never-block-on-the-human

    Apply when tempted to ask 'should I do X?' on reversible work.

  • principle-outcome-oriented-execution

    Apply during planned rewrites and migrations with explicit phase boundaries. Converge on the target architecture; don't preserve smooth intermediate states with throwaway compatibility code.

  • principle-prove-it-works

    Apply after completing a task, before declaring done. Verify against the real artifact (run the feature, read the actual value, inspect the diff), not a proxy, self-report, or 'it compiles.'

  • principle-redesign-from-first-principles

    Apply when integrating a new requirement into an existing design.

  • principle-separate-before-serializing-shared-state

    Apply when concurrent actors might write to the same file, branch, key, or state object. Eliminate the sharing first; serialize structurally only when one shared writer is a real invariant.

  • principle-sequence-verifiable-units

    Apply to multi-step work (sweeps, migrations, runs of similar edits) and to how you stack commits and PRs. Break work into small units that each end in a verifiable state, check each before the next, and order delivery so the sequence proves itself to a reviewer.

  • principle-subtract-before-you-add

    Apply when sequencing an addition, refactor, or rewrite. Remove dead code, redundant validators, and stub references first, then build on the simpler base.

  • principle-test-behavior-not-implementation

    Apply when you write, change, or keep a test. Call the code as its users do and assert the exact result they see. Rewrite or delete a test that would pass if every imported function returned undefined.

  • principle-type-system-discipline

    Apply when designing types, reviewing a function signature, or writing code in any statically-typed language. Make illegal states unrepresentable, brand semantic primitives, parse external data at boundaries, refuse to lie to the compiler, exhaust variants, derive from authoritative schemas.

  • reflect

    Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect.

  • teach

    Explain a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what they find into one clear explanation. Use for 'teach me this', 'help me really understand X', 'explain this change or subsystem to me'.

  • technical-writing

    Layered technical-writing standard: Diátaxis structure, Google developer style sentences, STE instruction rules, Global English syntax. Use for /poteto:technical-writing or when writing or reviewing docs, RFCs, readmes, PR descriptions, or commit messages.

  • typescript-best-practices

    TypeScript best practices. Use when reading or editing any .ts or .tsx file.

  • unslop

    Cut AI tells from any writing. Must always apply.

  • why

    Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, prod

View source on GitHub

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