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Trace backend flow

Skill xylvvv/agent-skills/skills/trace-backend-flow

Install
npx -y skills add xylvvv/agent-skills --skill trace-backend-flow

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What its author says it does

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Use when analyzing backend services, APIs, RPC handlers, message consumers, schedulers, jobs, domain/application services, repositories, transactions, persistence, events, external dependencies, or cross-service business flows.

SKILL.md

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Trace Backend Flow

Purpose

Use this skill to reconstruct backend business flows from code with an evidence trail. The goal is not to guess the architecture; it is to enumerate discovered entry points, trace representative and critical flows, and disclose uncertainty.

Core Rules

  • Prefer code evidence over inference. Mark anything without direct evidence as inferred or unconfirmed.
  • Build an entry coverage matrix before writing the narrative flow.
  • For every core step, record file path plus function, method, class, or configuration key.
  • Do not claim invisible services, generated code, runtime registration, or unavailable repositories were fully analyzed.
  • Keep independent business flows and backend projects in separate output directories.

Output Layout

  • Default each backend analysis leaf to docs/trace-code-flow/<flow-slug>/backend/<project-slug>/.
  • Derive <flow-slug> from the business goal in lowercase hyphen-case, such as create-order or user-login.
  • Derive <project-slug> from the service/application manifest or configuration name; fall back to the normalized project directory name.
  • If one request covers multiple independent flows, create one <flow-slug> directory per flow.
  • If one flow crosses multiple backend projects or services, create one <project-slug> directory per project.
  • Treat a user-provided output path as the root for this layout unless the user explicitly identifies it as the final leaf directory.

Workflow

  1. Determine scope and assumptions.

    • Use the user-provided path first.
    • If the path is missing, infer likely backend roots from repository structure and document the assumption.
    • Record exclusions such as tests, generated files, vendor code, or unavailable sibling repositories.
  2. Discover backend entry points.

    • Look for HTTP/API controllers, RPC handlers, CLI commands, scheduled jobs, MQ consumers, event listeners, webhooks, and framework route configuration.
    • Use references/backend-search-patterns.md when choosing search terms.
    • Produce an entry coverage matrix with status: expanded, partially expanded, or not expanded.
  3. Trace each selected core flow.

    • Start at user/system trigger.
    • Continue through validation, authorization, orchestration, domain decisions, transaction boundaries, persistence, event publication, external calls, and response/acknowledgement.
    • Include critical failure paths: validation failure, idempotency hit, downstream timeout, retry exhausted, transaction rollback, compensation, dead-letter, or degraded response.
  4. Reconstruct system interactions.

    • Separate internal calls from external dependencies.
    • Identify DB, cache, MQ, object storage, third-party APIs, SDKs, RPC/HTTP clients, and shared libraries.
    • For cross-service calls, record service/repository boundary, protocol, endpoint/topic, contract source, timeout, retry, circuit breaker/degradation, and idempotency key when visible.
  5. Generate artifacts.

    • Use references/backend-report-template.md for the report structure.
    • In each selected backend leaf directory, generate:
      • coverage-matrix.md
      • analysis-report.md
      • flow-core.puml
      • system-interaction.puml
    • PlantUML is preferred for backend activity and sequence diagrams.
  6. Validate diagrams with graceful fallback.

    • Use $plantuml-check when it is installed and available.
    • If it is unavailable, perform a minimal static check and state that render-level validation was not completed.
    • Do not send diagrams to remote PlantUML or Kroki services unless the user explicitly permits it.
    • PlantUML-compatible PNG/SVG rendering is valid evidence; generative or manually produced images are not.

Evidence Format

Use this table shape for important steps:

StepBehaviorEvidenceEvidence TypeConfidence
S1Receive create-order requestsrc/order/OrderController.java#createdirecthigh

Evidence types: direct, configuration, test, generated, inferred, unconfirmed.

Completion Checklist

  • Entry coverage matrix lists all discovered backend entries in scope.
  • Report explains scope, assumptions, main flow, failure paths, data/state changes, external interactions, and risks.
  • Each core step has code evidence.
  • Cross-service or cross-repository jumps are explicit; unavailable downstream code is listed as not expanded.
  • Diagram files and report describe the same flow and do not contradict each other.
  • Diagram validation result or fallback reason is recorded.

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