debugging-apex-logs
Salesforce debug log analysis and troubleshooting with 100-point scoring. TRIGGER when: user analyzes debug logs, hits governor limits, reads stack traces, or touches .log files from Salesforce orgs. DO NOT TRIGGER when: running Apex tests (use running-apex-tests), generating or fixing Apex code (use generating-apex), or Agentforce session tracing (use observing-agentforce).
What this skill does
# debugging-apex-logs: Salesforce Debug Log Analysis & Troubleshooting Use this skill when the user needs **root-cause analysis from debug logs**: governor-limit diagnosis, stack-trace interpretation, slow-query investigation, heap / CPU pressure analysis, or a reproduction-to-fix loop based on log evidence. ## When This Skill Owns the Task Use `debugging-apex-logs` when the work involves: - `.log` files from Salesforce - stack traces and exception analysis - governor limits - SOQL / DML / CPU / heap troubleshooting - query-plan or performance evidence extracted from logs Delegate elsewhere when the user is: - running or repairing Apex tests → [running-apex-tests](../running-apex-tests/SKILL.md) - generating or implementing the code fix → [generating-apex](../generating-apex/SKILL.md) - debugging Agentforce session traces / parquet telemetry → [observing-agentforce](../observing-agentforce/SKILL.md) --- ## Required Context to Gather First Ask for or infer: - org alias - failing transaction / user flow / test name - approximate timestamp or transaction window - user / record / request ID if known - whether the goal is diagnosis only or diagnosis + fix loop --- ## Recommended Workflow ### 1. Retrieve logs Use the commands in [references/cli-commands.md](references/cli-commands.md) to list, download, or stream logs for the target org. ### 2. Analyze in this order 1. entry point and transaction type 2. exceptions / fatal errors 3. governor limits 4. repeated SOQL / DML patterns 5. CPU / heap hotspots 6. callout timing and external failures ### 3. Classify severity - **Critical** — runtime failure, hard limit, corruption risk - **Warning** — near-limit, non-selective query, slow path - **Info** — optimization opportunity or hygiene issue ### 4. Recommend the smallest correct fix Prefer fixes that are: - root-cause oriented - bulk-safe - testable - easy to verify with a rerun Expanded workflow: [references/analysis-playbook.md](references/analysis-playbook.md) --- ## High-Signal Issue Patterns | Issue | Primary signal | Default fix direction | |---|---|---| | SOQL in loop | repeating `SOQL_EXECUTE_BEGIN` in a repeated call path | query once, use maps / grouped collections | | DML in loop | repeated `DML_BEGIN` patterns | collect rows, bulk DML once | | Non-selective query | high rows scanned / poor selectivity | add indexed filters, reduce scope | | CPU pressure | CPU usage approaching sync limit | reduce algorithmic complexity, cache, async where valid | | Heap pressure | heap usage approaching sync limit | stream with SOQL for-loops, reduce in-memory data | | Null pointer / fatal error | `EXCEPTION_THROWN` / `FATAL_ERROR` | guard null assumptions, fix empty-query handling | Expanded examples: [references/common-issues.md](references/common-issues.md) --- ## Output Format When finishing analysis, report in this order: 1. **What failed** 2. **Where it failed** (class / method / line / transaction stage) 3. **Why it failed** (root cause, not just symptom) 4. **How severe it is** 5. **Recommended fix** 6. **Verification step** Suggested shape: ```text Issue: <summary> Location: <class / line / transaction> Root cause: <explanation> Severity: Critical | Warning | Info Fix: <specific action> Verify: <test or rerun step> ``` --- ## Rules / Constraints | Rule | Rationale | |------|-----------| | Always base fix recommendations on log evidence | Avoid speculative diagnosis — root cause must be traceable in the log | | Report all six output fields for every issue found | Ensures actionable, complete findings for each problem | | Classify every finding as Critical, Warning, or Info | Helps the user prioritize which issues to address first | | Delegate code generation to `generating-apex` | This skill diagnoses; it does not rewrite Apex code | | Delegate test execution to `running-apex-tests` | This skill does not run or repair test classes | | Never assume limits are safe without reading `LIMIT_USAGE` events | Limits may be consumed by earlier operations not visible in the failure point | --- ## Gotchas | Pitfall | Resolution | |---------|------------| | Log truncated at 2 MB | Reduce debug levels (e.g., `ApexCode: INFO`, `ApexProfiling: FINE`) and re-capture | | Same issue appears as both SOQL and CPU problem | Fix SOQL-in-loop first — it typically drives the CPU spike as a secondary effect | | No logs appear after trace flag is set | Verify the trace flag `ExpirationDate` is in the future and the correct user is traced | | Async context changes limit values | CPU limit is 60,000 ms async vs 10,000 ms sync — check transaction type before flagging limits | | Stack trace points to framework line, not user code | Walk up the call stack past trigger handlers to find the originating user code | --- ## Cross-Skill Integration | Need | Delegate to | Reason | |---|---|---| | Implement Apex fix | [generating-apex](../generating-apex/SKILL.md) | code change generation / review | | Reproduce via tests | [running-apex-tests](../running-apex-tests/SKILL.md) | test execution and coverage loop | | Deploy fix | [deploying-metadata](../deploying-metadata/SKILL.md) | deployment orchestration | | Create debugging data | [handling-sf-data](../handling-sf-data/SKILL.md) | targeted seed / repro data | --- ## Reference File Index | File | When to read | |------|-------------| | `references/analysis-playbook.md` | Start here — expanded step-by-step workflow for any debugging session | | `references/common-issues.md` | Quick lookup for SOQL in loop, DML in loop, CPU/heap pressure, null pointer patterns | | `references/cli-commands.md` | SF CLI commands for retrieving, streaming, and managing debug logs | | `references/debug-log-reference.md` | Full event type catalog, log levels, and governor limit reference values | | `references/log-analysis-tools.md` | Tool guide: Apex Log Analyzer, Developer Console, CLI grep patterns | | `references/benchmarking-guide.md` | Performance benchmarking techniques, benchmark data, and anti-patterns | | `references/scoring-rubric.md` | 100-point scoring rubric for evaluating analysis quality | | `assets/benchmarking-template.cls` | Copy-paste Anonymous Apex template for running performance benchmarks | | `assets/cpu-heap-optimization.cls` | Apex patterns for reducing CPU time and heap allocation | | `assets/dml-in-loop-fix.cls` | Before/after example for resolving DML-in-loop violations | | `assets/soql-in-loop-fix.cls` | Before/after example for resolving SOQL-in-loop violations | | `assets/null-pointer-fix.cls` | Patterns for guarding against null pointer exceptions | --- ## Score Guide | Score | Meaning | |---|---| | 90+ | Expert analysis with strong fix guidance | | 80–89 | Good analysis with minor gaps | | 70–79 | Acceptable but may miss secondary issues | | 60–69 | Partial diagnosis only | | < 60 | Incomplete analysis |
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