L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Design et création · SKILL.md

hypothesis-elimination

hypothesis-elimination

Diagnostic reasoning for finding root causes. Generates multiple hypotheses, designs tests to eliminate each, and converges on the true cause through evidence.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: hypothesis-elimination description: Diagnostic reasoning for finding root causes. Generates multiple hypotheses, designs tests to eliminate each, and converges on the true cause through evidence. metadata: {"clawdbot":{"requires":{"env":[]}}} user-invocable: true

Hypothesis-Elimination (HE)

Find the root CAUSE of issues through systematic hypothesis testing and elimination.

When to Use

  • Debugging complex issues
  • Root cause analysis
  • Diagnostic problems
  • Evidence can be gathered to test hypotheses
  • Multiple possible causes exist

Process

Phase 1: Hypothesis Generation

Generate 5-8 possible causes:

Symptom: [observed problem]

H1: [possible cause 1]
H2: [possible cause 2]
H3: [possible cause 3]
H4: [possible cause 4]
H5: [possible cause 5]

Phase 2: Test Design

For each hypothesis, design a test:

HypothesisTestExpected if TRUEExpected if FALSE
H1[test][result][result]
H2[test][result][result]
H3[test][result][result]

Phase 3: Evidence Gathering

Execute tests in order of:

  1. Easiest to perform
  2. Most discriminating (eliminates most hypotheses)
  3. Lowest risk

Phase 4: Elimination

After each test, update hypothesis status:

  • ELIMINATED: Evidence contradicts
  • SUPPORTED: Evidence consistent
  • INCONCLUSIVE: Need more data

Phase 5: Convergence

Continue until:

  • One hypothesis remains (root cause found)
  • Multiple remain (need more tests)
  • All eliminated (missing hypothesis - regenerate)

Output Template

## HE Analysis: [Problem]

### Symptom
[Detailed description of observed issue]

### Hypotheses
| ID | Hypothesis | Prior Confidence |
|----|------------|------------------|
| H1 | [cause] | X% |
| H2 | [cause] | X% |
| H3 | [cause] | X% |

### Tests Performed

#### Test 1: [description]
- **Result**: [observation]
- **Eliminates**: H2, H4
- **Supports**: H1, H3

#### Test 2: [description]
- **Result**: [observation]
- **Eliminates**: H3
- **Supports**: H1

### Elimination Matrix
| Hypothesis | Test 1 | Test 2 | Test 3 | Status |
|------------|--------|--------|--------|--------|
| H1 | ✓ | ✓ | ✓ | **ROOT CAUSE** |
| H2 | ✗ | - | - | Eliminated |
| H3 | ✓ | ✗ | - | Eliminated |
| H4 | ✗ | - | - | Eliminated |

### Root Cause
**H1: [description]**

### Evidence Summary
- [evidence 1 supporting H1]
- [evidence 2 supporting H1]

### Recommended Fix
[action to address root cause]

Example

Symptom: API requests failing intermittently

Hypotheses:

  • H1: Database connection pool exhaustion
  • H2: Memory leak causing OOM
  • H3: Network timeouts to external service
  • H4: Rate limiting by upstream API
  • H5: DNS resolution failures

Tests:

  1. Check connection pool metrics → H1 supported (pool at 100%)
  2. Check memory graphs → H2 eliminated (memory stable)
  3. Check external service logs → H3 eliminated (all succeed)
  4. Check rate limit headers → H4 eliminated (under limit)

Root Cause: H1 - Database connection pool exhaustion Fix: Increase pool size, add connection timeout

Skills enregistrées