From antigravity-awesome-skills
Spins up four parallel read-only sub-agents to investigate bugs, regressions, crashes, or flaky tests, then ranks root causes for fastest fix.
How this skill is triggered — by the user, by Claude, or both
Slash command
/antigravity-awesome-skills:bug-hunt-swarmThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this skill when you need parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures. Use when the user asks to investigate a bug, find the root cause, trace a regression, understand why something broke, or wants a ranked diagnosis with the...
Use this skill when you need parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures. Use when the user asks to investigate a bug, find the root cause, trace a regression, understand why something broke, or wants a ranked diagnosis with the...
Investigate a bug with four read-only sub-agents in parallel, then have the main agent rank the likely causes and recommend the fastest path to prove or fix the issue. This skill is diagnosis-first: do not edit files or implement fixes as part of this workflow.
Start by collecting the smallest useful investigation packet:
Prefer this source order:
If the bug report is underspecified, infer a minimal problem statement and say what is still unknown.
Before launching sub-agents, read the closest project instructions and relevant docs for the touched area, such as:
AGENTS.mdWrite a short investigation brief for the swarm:
Use read-only evidence gathering where useful:
rg, git diff, git log, git showDo not edit files, inject new instrumentation, or implement fixes as part of this skill.
Launch four sub-agents when the problem is large or ambiguous enough that parallel investigation helps. For a tiny and obvious issue, it is acceptable to investigate locally instead.
For every sub-agent:
apply_patch, stage changes, commit, or perform any other state-mutating actionUse these four investigation roles.
Clarify the exact failure shape and its boundaries.
Check for:
This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes.
Recommended sub-agent role: reviewer
Trace the most likely execution path and identify the seam where behavior diverges.
Check for:
This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes.
Recommended sub-agent role: explorer for broad tracing, or reviewer when a stronger local reasoning pass is more useful
Look for likely regressors in nearby history or changed contracts.
Check for:
This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes.
Recommended sub-agent role: reviewer
Determine the fastest way to confirm or reject the leading hypotheses.
Check for:
This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes.
Recommended sub-agent role: reviewer
Report only hypotheses that materially improve the odds of finding the real cause. It is better to return two evidence-backed theories than six vague guesses.
The main agent owns synthesis. Treat sub-agent output as raw investigation input, not final output.
Merge and rank the hypotheses:
Normalize the surviving hypotheses into this shape:
If the evidence is too weak for a real ranking, say so directly and present the leading open questions instead.
Present the result in this order:
When the fix is not yet clear, recommend the next proving step instead of pretending the diagnosis is complete.
When helpful, group actions into:
prove nowfix nextfollow up laterDo not implement fixes as part of this skill. The output is a read-only diagnosis with a prioritized path forward.
npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-bundle-aas-localization-international-growthParallel swarm debugging for bugs with multiple plausible explanations. Multiple agent teams test competing hypotheses simultaneously to avoid anchoring bias and converge on root cause faster.
Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use when bugs have multiple potential causes.
Deploys parallel agent investigators to test multiple bug hypotheses simultaneously, gather confirming/disproving evidence, synthesize findings, rank causes, and apply minimal verified fixes.