sf-debug
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 sf-testing), fixing Apex code (use sf-apex), or Agentforce session tracing (use sf-ai-agentforce-observability).
- Installs
- 1.5K
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/jaganpro/sf-skills --skill sf-debug- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads sf-debug automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
sf-debug: 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 sf-debug when the work involves:
.logfiles 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 → sf-testing
- implementing the code fix → sf-apex
- debugging Agentforce session traces / parquet telemetry → sf-ai-agentforce-observability
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
sf apex list log --target-org <alias> --json
sf apex get log --log-id <id> --target-org <alias>
sf apex tail log --target-org <alias> --color
2. Analyze in this order
- entry point and transaction type
- exceptions / fatal errors
- governor limits
- repeated SOQL / DML patterns
- CPU / heap hotspots
- 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:
- What failed
- Where it failed (class / method / line / transaction stage)
- Why it failed (root cause, not just symptom)
- How severe it is
- Recommended fix
- 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>
Cross-Skill Integration
| Need | Delegate to | Reason |
|---|---|---|
| Implement Apex fix | sf-apex | code change generation / review |
| Reproduce via tests | sf-testing | test execution and coverage loop |
| Deploy fix | sf-deploy | deployment orchestration |
| Create debugging data | sf-data | targeted seed / repro data |
Reference Map
Start here
- references/analysis-playbook.md
- references/common-issues.md
- references/cli-commands.md
Deep references
- references/debug-log-reference.md
- references/log-analysis-tools.md
- references/benchmarking-guide.md
Rubric
- references/scoring-rubric.md
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 |
FAQ
What does the sf-debug skill do?
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 sf-testing), fixing Apex code (use sf-apex), or Agentforce session tracing (use sf-ai-agentforce-observability).
How do I install sf-debug?
Run npx skills add https://github.com/jaganpro/sf-skills --skill sf-debug in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sf-debug/ (personal) or .claude/skills/sf-debug/ (project).
Which AI agents can use sf-debug?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is sf-debug safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains sf-debug?
It is published by jaganpro in jaganpro/sf-skills. It has 1,462 recorded installs.
More from jaganpro/sf-skills
sf-apex
jaganpro/sf-skills
Generates and reviews Salesforce Apex code with 150-point scoring. TRIGGER when: user writes, reviews, or fixes Apex classes, triggers, test classes, batch/queueable/schedulable jobs, or touches .cls/.trigger files. DO NOT TRIGGER when: LWC JavaScript (use sf-lwc), Flow XML (use sf-flow), SOQL-only queries (use sf-soql), or non-Salesforce code.
sf-lwc
jaganpro/sf-skills
Lightning Web Components with PICKLES methodology and 165-point scoring. TRIGGER when: user creates/edits LWC components, touches lwc//.js, .html, .css, .js-meta.xml files, or asks about wire service, SLDS, or Jest LWC tests. DO NOT TRIGGER when: Apex classes (use sf-apex), Aura components, or Visualforce.
sf-flow
jaganpro/sf-skills
Creates and validates Salesforce Flows with 110-point scoring. TRIGGER when: user builds or edits record-triggered, screen, autolaunched, or scheduled flows, or touches .flow-meta.xml files. DO NOT TRIGGER when: Apex automation (use sf-apex), process builder migration questions only, or non-Flow declarative config (use sf-metadata).
sf-metadata
jaganpro/sf-skills
Salesforce metadata generation and querying with 120-point scoring. TRIGGER when: user creates custom objects, fields, validation rules, or touches .object-meta.xml, .field-meta.xml, .profile-meta.xml files. DO NOT TRIGGER when: permission set analysis (use sf-permissions), deploying metadata (use sf-deploy), or Flow XML (use sf-flow).
sf-soql
jaganpro/sf-skills
SOQL query generation, optimization, and analysis with 100-point scoring. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use sf-data), Apex DML logic (use sf-apex), or report/dashboard queries.
sf-deploy
jaganpro/sf-skills
Salesforce DevOps automation using sf CLI v2. TRIGGER when: user deploys metadata, creates/manages scratch orgs or sandboxes, sets up CI/CD pipelines, or troubleshoots deployment errors with sf project deploy. DO NOT TRIGGER when: writing Apex/LWC code (use sf-apex/sf-lwc), creating metadata XML (use sf-metadata), or querying org data (use sf-data).
Popular code quality & workflow skills
grill-me
mattpocock/skills
A relentless interview to sharpen a plan or design.
improve-codebase-architecture
mattpocock/skills
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
handoff
mattpocock/skills
Compact the current conversation into a handoff document for another agent to pick up.
domain-modeling
mattpocock/skills
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.
codebase-design
mattpocock/skills
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.