Use this skill when the user needs Apex test execution and failure analysis: running tests, checking coverage, interpreting failures, improving coverage, and managing a disciplined test-fix loop for Salesforce code.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsf-testingExecute the skills CLI command in your project's root directory to begin installation:
Fetches sf-testing from jaganpro/sf-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate sf-testing. Access via /sf-testing in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
1
total installs
1
this week
292
GitHub stars
0
upvotes
Run in your terminal
1
installs
1
this week
292
stars
Use this skill when the user needs Apex test execution and failure analysis: running tests, checking coverage, interpreting failures, improving coverage, and managing a disciplined test-fix loop for Salesforce code.
Use sf-testing when the work involves:
sf apex run test workflowsDelegate elsewhere when the user is:
Ask for or infer:
Identify:
Start narrow when debugging a failure; widen only after the fix is stable.
Focus on:
When the issue is code or test quality:
Cover:
SeeAllData=false@TestSetup when they improve clarity and speedTest.startTest() with Test.stopTest() when async behavior mattersWhen finishing, report in this order:
Suggested shape:
Test run: <scope>
Org: <alias>
Result: <passed / partial / failed>
Coverage: <percent / key classes>
Issues: <highest-signal failures>
Next step: <fix class, add test, rerun scope, or widen regression>
| Need | Delegate to | Reason |
|---|---|---|
| fix production code or author tests | sf-apex | code generation and repair |
| create bulk / edge-case data | sf-data | realistic test datasets |
| deploy updated tests | sf-deploy | rollout |
| inspect detailed runtime logs | sf-debug | deeper failure analysis |
| Score | Meaning |
|---|---|
| 108+ | strong production-grade test confidence |
| 96–107 | good test suite with minor gaps |
| 84–95 | acceptable but strengthen coverage / assertions |
| < 84 | below standard; revise before relying on it |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
github/awesome-copilot
aj-geddes/useful-ai-prompts
refoundai/lenny-skills
skillcreatorai/ai-agent-skills
supercent-io/skills-template
davila7/claude-code-templates
I recommend sf-testing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
sf-testing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in sf-testing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for sf-testing matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: sf-testing is focused, and the summary matches what you get after install.
I recommend sf-testing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: sf-testing is focused, and the summary matches what you get after install.
sf-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.
sf-testing has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: sf-testing is the kind of skill you can hand to a new teammate without a long onboarding doc.
showing 1-10 of 74