| name | troubleshooting |
| type | skill |
| description | Systematic backend debugging — reproduce, isolate root cause, implement fix with regression test. |
| related-rules | ["architecture.md","testing.md"] |
| allowed-tools | Read, Write, Edit, Bash, Grep |
| agentic | {"generated_by":"agentic","source":"areas/software/backend/skills/troubleshooting/SKILL.md","repository":"https://github.com/sawrus/agent-guides"} |
Troubleshooting Skill
Expertise: Systematic debugging, log analysis, query profiling, memory/CPU profiling, regression tests.
Debugging Framework (RRCA)
1. REPRODUCE — make the bug happen reliably before touching code
2. REDUCE — find the smallest input that triggers the bug
3. CAUSE — identify the specific code line/condition responsible
4. ADDRESS — fix + regression test + verify fix doesn't reappear
Never fix what you can't reproduce. A guess-and-check fix is technical debt.
Log Analysis Patterns
journalctl -u myapp --since "1 hour ago" | jq 'select(.level == "error")'
cat app.log | jq -r '.error_code' | sort | uniq -c | sort -rn | head -20
cat access.log | jq 'select(.duration > 1000)' | jq -r '[.method, .path, .duration] | @csv'
grep "request_id=req_abc123" app.log
grep "request_id=req_abc123" app.log | grep "db.query" | wc -l
Database Query Debugging
SELECT pid, now() - pg_stat_activity.query_start AS duration, query, state
FROM pg_stat_activity
WHERE state != 'idle' AND query_start < now() - interval '5 seconds'
ORDER BY duration DESC;
SELECT pg_terminate_backend(<pid>);
SELECT query, calls, mean_exec_time, total_exec_time
FROM pg_stat_statements
ORDER BY total_exec_time DESC LIMIT 10;
SELECT relname, n_dead_tup, n_live_tup,
round(n_dead_tup * 100.0 / nullif(n_live_tup + n_dead_tup, 0), 2) AS dead_pct
FROM pg_stat_user_tables
WHERE n_dead_tup > 1000
ORDER BY dead_pct DESC;
Memory Leak Detection (Python)
import tracemalloc
tracemalloc.start()
snapshot = tracemalloc.take_snapshot()
top_stats = snapshot.statistics("lineno")
for stat in top_stats[:10]:
print(stat)
HTTP Client Debugging
import httpx
import logging
logging.basicConfig(level=logging.DEBUG)
httpx_logger = logging.getLogger("httpx")
httpx_logger.setLevel(logging.DEBUG)
async with httpx.AsyncClient() as client:
response = await client.post(url, json=payload, timeout=30.0)
print(f"Request: {response.request.method} {response.request.url}")
print(f"Request body: {response.request.content}")
print(f"Status: {response.status_code}")
print(f"Response: {response.text[:500]}")
Writing Regression Tests
def test_order_creation_with_zero_quantity_raises_validation_error():
"""Regression: order with zero quantity was silently accepted (bug PROJ-198)"""
with pytest.raises(ValidationError) as exc_info:
CreateOrderRequest(items=[{"product_id": "prod_1", "quantity": 0}])
assert "quantity" in str(exc_info.value)
assert "greater than 0" in str(exc_info.value)
Common Root Cause Patterns
| Symptom | Likely cause | Investigation |
|---|
| Intermittent 500s after deploy | Exception in new code path | Check error logs at deploy time; git diff |
| Slow requests on specific endpoint | N+1 query or missing index | EXPLAIN ANALYZE on DB queries in that request |
| Memory grows over time | Cache without TTL or eviction | tracemalloc; check dict/list sizes in long-running processes |
| Random 429s from upstream | No retry-after respect; burst traffic | Check outbound request rate; add backoff |
| Test passes locally, fails in CI | Env var missing; timing issue | Compare env vars; add explicit waits |
| Occasional duplicate records | Missing idempotency key or DB unique constraint | Add unique constraint; add idempotency check |