larkcowork/lark-cowork-plugins/system-design

Claude Code and agent skill by larkcowork/lark-cowork-plugins

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Design systems, services, and architectures. Trigger with "design a system for", "how should we architect", "system design for", "what's the right architecture for", or when the user needs help with API design, data modeling, or service boundaries.

Install

npx vskill@latest install larkcowork/lark-cowork-plugins/system-design

SKILL.md

System Design

Help design systems and evaluate architectural decisions.

Lark-native execution (depth core: LARK-PATTERNS,
LARK-FUSION). The reasoning below is methodology — keep it.
Where it touches collaboration: ground requirements by searching prior design docs with
lark_doc_search (project with jq, P3); land the finished design doc in Wiki
(lark_wiki_node_create, P8), filling the body via the lark-doc skill; resolve reviewer names
to open_id with lark_contact_search (P1) and surface the "design ready for review" decision as
an interactive card (lark_im_card_send, P4). To record a specific decision with trade-offs,
hand off to the architecture skill (ADR → Wiki + tasks).

Framework

1. Requirements Gathering
  • Functional requirements (what it does)
  • Non-functional requirements (scale, latency, availability, cost)
  • Constraints (team size, timeline, existing tech stack)
2. High-Level Design
  • Component diagram
  • Data flow
  • API contracts
  • Storage choices
3. Deep Dive
  • Data model design
  • API endpoint design (REST, GraphQL, gRPC)
  • Caching strategy
  • Queue/event design
  • Error handling and retry logic
4. Scale and Reliability
  • Load estimation
  • Horizontal vs. vertical scaling
  • Failover and redundancy
  • Monitoring and alerting
5. Trade-off Analysis
  • Every decision has trade-offs. Make them explicit.
  • Consider: complexity, cost, team familiarity, time to market, maintainability

Output

Produce clear, structured design documents with diagrams (ASCII or described), explicit assumptions, and trade-off analysis. Always identify what you'd revisit as the system grows.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

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Source

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