Swarm design
A shared knowledge vault + full software-engineering workflow for AI coding agents — run Claude Code and Codex in parallel with one memory, one plan.
npx -y skills add AnmarHani/SwarmVault --skill swarm-designAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 19 days oldThe repository was created 19 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
System design phase — architecture, tech-stack options, module boundaries, data model, and ADRs from a validated SRS. Use after requirements are validated, when choosing a tech stack, designing system structure/APIs/data models, or recording an architecture decision.
SKILL.md
2.7 KB, as published. Nobody here has run it
swarm-design — system design phase
Gate: requires a validated SRS (else route back to swarm-spec). Read the SRS and feature specs first; the design must answer them, not your habits.
Lane: this is the standard, agent-driven lane — you propose, the user validates. If the user wants to own the system rather than receive it (deep design, pseudocode, algorithm-level planning, "developer mode"), hand the phase to swarm-design-deep instead; the two replace each other and never run together.
Produce, in order
- Tech stack — options with trade-offs measured against the NFRs (not fashion), recommendation first; the user decides. Significant picks become ADRs.
- Decomposition — modules/services with single responsibilities, boundaries, and data flow. Prefer deep modules behind simple interfaces. Mermaid diagrams for the system view and any non-obvious flow.
- Data model & contracts — entities, relationships, API contracts where relevant.
- Cross-cutting strategy — error handling, logging, testing approach fit for the stack.
- Milestone boundaries — group FRs into build milestones; these become swarm-implement's ticket batches.
Rules
- Traceability table required: every Must-FR ↦ component; every NFR ↦ one line on how the design satisfies it. Nothing silently dropped.
- Options with recommendation for anything that meaningfully affects cost, lock-in, or complexity — never decide those silently (mode: in auto, only stack-level choices already delegated by the user proceed without asking; queue the rest).
- Simplicity doctrine: every moving part justifies itself; prefer known patterns (refactoring.guru names) over invention; when two designs both satisfy the NFRs, ship the smaller one.
- Each significant decision →
50 Decisions/<P>/ADR-NNN-<slug>.md(template:90 Templates/decision.md): context, options, decision, consequences, FR/NFR links.
Output & gate
docs/design.md (human lane) + ADRs, mirrored to the vault by sync. End with the user
validation gate (gated mode) or a self-check against the traceability table (auto mode);
update flow-state to phase: design-ui (if the SRS declares an interface) or
phase: tickets.
Influences: Jeffallan's architecture-designer & api-designer; Pocock's codebase-design & domain-modeling; refactoring.guru; Nygard ADRs — see CREDITS.md.