claude

arch-guild

Architectural reasoning with The Guild. 13 specialized agents with orthogonal perspectives for multi-viewpoint architecture review.

8 on GitHubby yzavyasv0.1.0MITupdated 9 months agodevelopment
/

Plugin arch-guild from marketplace claude-1337 in yzavyas/claude-1337. Commands read from the repo's manifest — 1 month ago.

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 (3)

  • architecture

    This skill should be used when the user asks to "review architecture", "evaluate system design", "scaffold a service", "check boundaries", "convene the guild", "design async system", "implement hexagonal", "coordinate agents", or discusses architectural decisions, service structure, event-driven pat

  • design

    This skill should be used when the user asks to "review code design", "check API design", "evaluate abstractions", "review naming", "check SOLID compliance", "design an API", "choose between REST and GraphQL", or discusses code quality, interface design, API contracts, or developer experience.

  • operations

    This skill should be used when the user asks to "review for production", "check production readiness", "evaluate resilience", "assess observability", "review ops", "run chaos experiments", or discusses deployment, monitoring, incident response, failure modes, or chaos engineering.

Subagents (13)

  • ace

    Advocate for the next developer. Use when: developer experience, API discoverability, error clarity, documentation, cognitive friction, onboarding. <example> Context: Reviewing error handling. user: "Our API returns 'Error: 500' with no details." assistant: "I'll invoke Ace to assess the DX impact."

  • burner

    Guardian of boundaries. Use when: architectural boundaries, coupling analysis, dependency direction, hexagonal compliance, layer violations. <example> Context: Reviewing service architecture. user: "Our domain layer imports Prisma directly." assistant: "I'll invoke Burner to assess the boundary viol

  • chesterton

    Voice of historical context. Use when: removing old code, refactoring legacy, encountering mysterious logic, deleting "unused" features. <example> Context: Reviewing old code. user: "This function has a weird sleep(100) in it. Can we remove it?" assistant: "I'll invoke Chesterton to understand why i

  • dijkstra

    Voice of formal correctness. Use when: critical logic paths, state machines, auth flows, payment processing, concurrency, invariant verification. <example> Context: Reviewing authentication flow. user: "Here's our JWT validation logic." assistant: "I'll invoke Dijkstra to verify correctness." <comme

  • erlang

    Voice of flow dynamics. Use when: queue saturation, backpressure, memory bounds, rate limiting, load shedding, capacity planning. <example> Context: Reviewing message processing. user: "We queue all incoming requests and process them." assistant: "I'll invoke Erlang to assess queue saturation risk."

  • ixian

    The empiricist. Use when: defining success metrics, validation criteria, measurement approach. Always invoked after Guild deliberations. <example> Context: Guild has reached a decision. user: "The guild approved the Redis migration." assistant: "I'll invoke Ixian to define validation criteria." <com

  • k

    Strategic advisor. Use when: navigating constraints, breaking stalemates, understanding the field of forces, guiding iterative value, build-vs-buy decisions. <example> Context: Team is stuck between competing concerns. user: "Security wants full audit logging, performance says it'll kill throughput.

  • karman

    Guardian of semantic truth. Use when: domain modeling, naming quality, abstraction drift, model-reality alignment, ubiquitous language. <example> Context: Code review shows questionable naming. user: "This UserService class is 2000 lines." assistant: "I'll invoke Karman to assess the domain model."

  • knuth

    Voice of algorithmic reality. Use when: complexity analysis, scaling concerns, loops, aggregations, high-cardinality data, performance at scale. <example> Context: Reviewing data processing. user: "We iterate through all users and for each, query their orders." assistant: "I'll invoke Knuth to asses

  • lamport

    Voice of distributed reality. Use when: consistency concerns, partition tolerance, latency, eventual consistency, race conditions, ordering guarantees. <example> Context: Discussing caching strategy. user: "Let's use in-memory HashMap instead of Redis." assistant: "I'll invoke Lamport to assess dist

  • lotfi

    Voice of nuance. Use when: trade-off analysis, deadlocks between agents, multi-dimensional scoring, fuzzy evaluation when binary thinking fails. <example> Context: Guild has conflicting verdicts. user: "K says ship it, Dijkstra says block it." assistant: "I'll invoke Lotfi to score the trade-offs."

  • taleb

    Voice of antifragility. Use when: resilience review, failure mode analysis, production readiness, chaos scenarios, Black Swan identification. <example> Context: Pre-production review. user: "Is this service ready for production?" assistant: "I'll invoke Taleb to assess resilience." <commentary> Prod

  • vector

    The attacker's voice. Use when: security analysis, attack surface, trust boundaries, input validation, threat modeling. <example> Context: Reviewing user input handling. user: "We pass the user ID directly to the SQL query." assistant: "I'll invoke Vector to assess the injection risk." <commentary>

Hooks (1)

  • SessionStart

    if [ "$SKIP_GUILD_RATCHET" = "1" ]; then echo '[Guild Ratchet: Skipped via SKIP_GUILD_RATCHET=1]'; elif [ -f "${CLAUDE_PROJECT_ROOT}/.claude/guild-ratchet.md" ]; then echo '[Guild Ratchet: Loading pro

View source on GitHub

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