Agent Skills
› zereight/gitlab-mcp
› trace
trace
GitHub用于根因分析和故障排查的技能,通过并行生成竞争性假设并收集证据来解释系统行为或错误原因。适用于运行时Bug、性能问题及架构分析等场景。
Trigger Scenarios
trace this
trace
why did this happen
root cause analysis
investigate why
Install
npx skills add zereight/gitlab-mcp --skill trace -g -y
SKILL.md
Frontmatter
{
"name": "trace",
"description": "Evidence-driven tracing with competing hypotheses in parallel. Activate when user says: trace this, trace, why did this happen, root cause analysis, investigate why.\n",
"argument-hint": "<observation to trace>"
}
Trace
Evidence-driven causal tracing using competing hypotheses. Use for ambiguous, causal, evidence-heavy questions where the goal is to explain WHY something happened.
Good Entry Cases
- Runtime bugs and regressions
- Performance / latency behavior
- Architecture / premortem / postmortem analysis
- Config / routing / orchestration behavior
- "Given this output, trace back the likely causes"
Core Contract
Always preserve: Observation → Hypotheses → Evidence For → Evidence Against → Best Explanation → Critical Unknown → Discriminating Probe
Workflow
- Restate the observed result precisely
- Generate 3 deliberately different hypotheses:
- Code-path / implementation cause
- Config / environment / orchestration cause
- Measurement / artifact / assumption mismatch
- Assign @tracer to each hypothesis lane
- Each lane: evidence for, evidence against, critical unknown, discriminating probe
- Apply lenses: Systems, Premortem, Science
- Rebuttal round between top two hypotheses
- Rank, detect convergence, synthesize
Output
### Observed Result
[What happened]
### Ranked Hypotheses
| Rank | Hypothesis | Confidence | Evidence Strength |
|------|------------|------------|-------------------|
### Most Likely Explanation
[Current best explanation]
### Critical Unknown
[Single missing fact]
### Recommended Discriminating Probe
[Single next probe]
Version History
- a8f5d4f Current 2026-07-25 10:04


