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SKILL verified MIT Self-run

Parallel Debugging

skill-on-deck-society-love-stack-parallel-debugging · by on-deck-society

Debug a bug by investigating multiple hypotheses simultaneously rather than sequentially, then converge on the most likely cause based on evidence.

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Install

$ agentstack add skill-on-deck-society-love-stack-parallel-debugging

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Parallel Debugging

When activated, help the user debug a reported issue by pursuing multiple hypotheses in parallel instead of the traditional linear "try one thing, see if it works" loop.

The Process

  1. Clarify the symptom: Ask for the exact behavior observed, the expected behavior, and the reproduction steps. Do not skip this. A vague symptom makes parallel debugging impossible because you can't score evidence against hypotheses.
  1. Generate 3-5 hypotheses: Before touching code, list the possible causes. Each hypothesis should be a concrete, testable claim. Examples:
  • "The API returns stale data because the cache TTL is longer than we think."
  • "The race condition fires when two users submit within the same 100ms window."
  • "The migration didn't run in production but did in staging."
  1. For each hypothesis, identify a cheap test: What's the single fastest check that would either rule this in or rule it out? A log statement, a database query, a git log, a test repro.
  1. Run all tests in parallel: Execute the cheap tests for every hypothesis before drawing conclusions. Do not pick a favorite and chase it to the end.
  1. Score the evidence: After all tests return, rank hypotheses by how well the evidence supports them. Eliminate the disproven ones.
  1. Narrow and repeat if needed: If no hypothesis is clearly correct, generate new ones based on what you learned.

Anti-patterns to Avoid

  • Fixating on the first hypothesis and ignoring contradicting evidence
  • Running tests sequentially when they're independent
  • Skipping the clarification step because you "already know" what's wrong
  • Confirming a hypothesis without also running tests that would disprove it

Output

For each debugging session, produce:

  • The stated symptom and reproduction
  • The 3-5 hypotheses considered
  • The test and result for each
  • The conclusion with evidence references
  • The fix (or the next round of hypotheses if not yet resolved)

When to Invoke

Invoke when the user says: "debug this", "I can't figure out why X is happening", "something is broken and I don't know what", "help me troubleshoot", or presents an unexpected behavior that isn't obvious from the code alone.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.