com um clique
marshal
marshal contém 5 skills coletadas de chiruu12, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Drive a fleet of headless coding agents through Marshal's MCP server: decompose a goal into independent tasks, run them in parallel in isolated git worktrees, review each diff, and integrate the good ones. Use when you have a multi-part coding goal to delegate to worker agents (Cursor, OpenCode, Codex, Antigravity, Claude Code) instead of doing it all yourself. The engine is mechanism; this playbook is the judgment - decomposition, prompt-writing, and merge decisions live here.
Author and run declarative YAML workflows on the Marshal fleet - reusable orchestration recipes (fan a goal out across clients, collect the diffs, then merge the good ones) that you run by name instead of re-planning each time. Use when the same multi-agent shape recurs (review, compare, fix-across-clients). For a one-off decomposition, use marshal-orchestrate instead. The engine runs the recipe by sequencing safe primitives; the judgment - which recipe, and which diff to keep - stays with you.
Compare AI coding strategies on a real task with Marshal: run the same goal through several configured clients (e.g. a premium model vs a cheaper one) and get a measured cost/latency/outcome comparison. Use when you want evidence for which provider/model to route a kind of work to, or to prove what a cheaper strategy actually saved. Honest by construction - it measures, it never guesses.
Gate a candidate diff behind an independent, multi-reviewer consensus before integrating it. Spawn several biased reviewers (architect, quality, tests) that each judge the SAME diff in isolation, then apply a fixed truth table - integrate only when no reviewer rejects and at least one approves. Use when a single-pass review (marshal-orchestrate step 4) is not enough: a high-stakes merge, or when you want a quorum instead of one opinion. The engine runs the agents; this playbook is the judgment.
Reach a consensus on the APPROACH before committing a fleet to build it. Spawn several biased, independent solvers that each propose a plan for the same question, then an independent judge that converges them into one concrete plan (or narrows the question and re-runs). Use when the approach is contested - multiple valid designs, ambiguous scope, or a costly wrong turn - not for obvious work. The engine runs the agents; this playbook is the judgment. Hand the converged plan to marshal-orchestrate to build it.