claudecodex

zstack

Evidence-driven engineering workflows, scoped agents, and task-sized verification.

2 on GitHubby Zach Fullerv0.26.0MITupdated yesterdayproductivity
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Plugin zstack from marketplace zstack-local in fullerzz/agent-skills. Commands read from the repo's manifest — yesterday.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (58)

  • architect

    Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /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 /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.

  • automate-me

    Draft or update a personal mode skill from stated conventions and explicitly scoped history.

  • 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.

  • correct

    Find repeated agent mistakes in this repository and prevent recurrence through architecture, types, lint or CI, then behavioral tests, with docs last. Use for correct.

  • create-formal-verification-skill

    Generate a reusable project-local skill for model checking or proving code-linked properties. Use explicitly for /create-formal-verification-skill, model-checking a race, or proving an invariant; UI and service journey checks belong to create-verification-skill.

  • 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 /create-verification-skill, \"make a control skill for this repo\", or when a project has no scripted way to prove UI/CLI/service behavior.

  • figure-it-out

    Design an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions via show-me-your-work. Use for /figure-it-out, 'figure it out', a large migrati

  • herdr-workflow

    Compatibility entrypoint for selecting Herdr execution and loading the installed herdr-zstack hc-workflow companion.

  • how

    Read-only explanations of how a named code subsystem works: entry points, callers, runtime flow, package ownership, and layering. Use for code walkthroughs and architecture questions. Use why for historical design rationale; do not select for implementation or debugging requests.

  • in-your-own-words

    Restate in your own words what you think the user's goals are and what problem they're trying to solve. Use for in-your-own-words.

  • interrogate

    Adversarial review of a requested diff or design; only findings that a rerun reproduction proves survive.

  • ketchup

    Catch up on this chat since your last message in plain language, with current PR, CI, and agent status where available and enough context to decide what awaits you. Use for ketchup or a catch-up on this chat; use recall for context across sessions.

  • maintain-formal-verification-skill

    Refresh a project's formal checks after covered code changes, distinguish verification drift from product bugs, and retain per-check coverage checkpoints. Use explicitly for /maintain-formal-verification-skill or auditing whether a model still describes the code.

  • 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, a scoped local set of proven corrections. Use for /maintain-verification-skill or \"audit the verify skill\".

  • no-comments

    Review unnecessary comments and workarounds with a scoped comment-sicko report.

  • principle-attack-the-premise

    Apply when two or more fixes sharing a premise fail the same gate. Write down and directly test that premise before another fix 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 measure, and 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 the first wrong decision or missing handling of a legitimate state, and fix it there; do not hide invalid states at the symptom.

  • 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. Encode the domain in a structure instead of scattered conditionals.

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

    Apply when tempted to ask 'should I do X?' on reversible work. Proceed, present the result, let the human course-correct after the fact; stay within authorized scope and reserve clarification for real missing decisions.

  • 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. Redesign as if the requirement had been a foundational assumption from day one, instead of bolting it on.

  • 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. Assert observable behavior so the test catches a broken contract and survives internal refactors.

  • 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.

  • python-best-practices

    Python best practices for writing or reviewing Python source, scripts, and packages with uv, Ruff, mypy, type hints, and Pydantic boundary validation.

  • recall

    Reconstruct your recent working context from your own chat history, live state, and the shared record (user reports, prior fixes, incidents), then hand back a tight current-state brief. Use for 'recall my work on X', 'catch me up', 'what have I been working on', 'where did I leave off', before start

  • reflect

    Review the active session for durable lessons and propose or apply approved skill edits.

  • setup-zstack

    Check zstack installation in Codex, Claude Code, or Hermes and configure requested native model settings.

  • sharpen

    Rewrite a prompt with an expert approach, primary sources, specific methods and tools, and an independent check. Use for sharpen; does not execute the task.

  • show-me-your-work

    Keep a reviewable decision trail for long-running or unattended work: a local TSV log with one row per decision (what, why, evidence, result). Commit only when authorized. Use for /show-me-your-work, autonomous or multi-phase runs, or work a human reviews after stepping away.

  • sketch

    Render Mermaid diagrams as inline text with Sketch for chat responses and terminals. Use when the user asks for Sketch or diagrams displayed without an image viewer.

  • statechart

    Check a TLA+ model of a system that moves between states, such as a product flow, a protocol, or a service, and draw it as a Mermaid statechart with the shortest path to each state that breaks a rule. Use explicitly for /statechart; render with Pele.

  • swarm

    Fan out N parallel workers, drain them, and return one report. Use for /swarm, 'swarm this', or parallel coverage, races, gauntlets, and exploration.

  • tdd

    Use only when the user explicitly asks for TDD, a failing test, or a regression test, OR when the bug has an obvious cheap local test target. Skip when the test path is unclear, expensive, integration-heavy, or not requested.

  • 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 /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 requested writing while preserving meaning and intended tone.

  • why

    Read-only research into historical code design decisions: why a subsystem works this way or why a particular approach was chosen. Uses relevant Git history and available supporting sources, separating documented facts from inference. Use how for runtime behavior; do not select for implementation or

  • z-mode

    Evidence-driven engineering with scoped agents, portable principles, and task-sized verification. Use for z-mode; Herdr execution is selected automatically in a verified live hc terminal.

Hooks (1)

  • SessionStart

    uv

View source on GitHub zstack.zachfuller.sh

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