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iamHrithikRajiamHrithikRaj/loom/skills/distributed-systems-debugging/SKILL.md

distributed-systems-debugging

Skill0 starsChanged 2 months agoMITView on GitHub

Debug failures involving retries, timeouts, partial success, replication, failover, consistency, ordering, recovery, and distributed state. Use when behavior spans services, nodes, regions, or asynchronous boundaries.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Check duplicate delivery, late completion, stale reads, reordered events, partial persistence, and split ownership.

    line 44
  2. Distinctive:

    Consider whether local success can hide global failure.

    line 46
  3. Distinctive:

    Avoid adding coordination unless the invariant requires it.

    line 52

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Distributed systems debugging

Define the invariant

State the property that should always hold, such as:

  • An acknowledged write remains durable.
  • A request is applied at most once.
  • Failover does not expose stale ownership.
  • Recovery converges without operator intervention.

Describe the observed counterexample precisely.

Map the flow

Identify:

  • State owners and durable stores.
  • Control-plane and data-plane paths.
  • Synchronous and asynchronous boundaries.
  • Retry, timeout, cancellation, and failover behavior.
  • Replication, quorum, ordering, and consistency assumptions.

Build an evidence table

For each signal capture:

  • Timestamp and clock source.
  • Component and correlation identifier.
  • Observation.
  • Reliability and possible ambiguity.
  • Hypotheses supported or contradicted.

Test hypotheses

  • Rank hypotheses by explanatory power, not familiarity.
  • Design tests that distinguish between leading hypotheses.
  • Check duplicate delivery, late completion, stale reads, reordered events, partial persistence, and split ownership.
  • Consider whether local success can hide global failure.

Recommend changes

  • Restore the invariant at the narrowest responsible boundary.
  • Make retries and recovery explicit and observable.
  • Avoid adding coordination unless the invariant requires it.
  • Include telemetry and regression coverage needed to detect recurrence.

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