debugging-apex-logs

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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).

forcedotcom By forcedotcom schedule Updated 6/16/2026

name: debugging-apex-logs description: "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)." license: MIT metadata: version: "1.1"

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:


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 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


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


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:

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 code change generation / review
Reproduce via tests running-apex-tests test execution and coverage loop
Deploy fix deploying-metadata deployment orchestration
Create debugging data handling-sf-data 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
Install via CLI
npx skills add https://github.com/forcedotcom/sf-skills --skill debugging-apex-logs
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