sf-deploy
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).
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/jaganpro/sf-skills --skill sf-deploy- 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-deploy 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-deploy: Comprehensive Salesforce DevOps Automation
Use this skill when the user needs deployment orchestration: dry-run validation, targeted or manifest-based deploys, CI/CD workflow advice, scratch-org management, failure triage, or safe rollout sequencing for Salesforce metadata.
When This Skill Owns the Task
Use sf-deploy when the work involves:
sf project deploy start,quick,report, or retrieval workflows- release sequencing across objects, permission sets, Apex, and Flows
- CI/CD gates, test-level selection, or deployment reports
- troubleshooting deployment failures and dependency ordering
Delegate elsewhere when the user is:
- authoring Apex or LWC code → sf-apex, sf-lwc
- creating metadata definitions → sf-metadata
- building Flows → sf-flow
- doing org data operations → sf-data
- authoring Agent Script logic → sf-ai-agentscript
Critical Operating Rules
- Use
sfCLI v2 only. - On non-source-tracking orgs, deploy/retrieve commands require an explicit scope such as
--source-dir,--metadata, or--manifest. - Prefer
--dry-runfirst before real deploys. - For Flows, deploy safely and activate only after validation.
- Keep test-data creation guidance delegated to
sf-dataafter metadata is validated or deployed.
Default deployment order
| Phase | Metadata |
|---|---|
| 1 | Custom objects / fields |
| 2 | Permission sets |
| 3 | Apex |
| 4 | Flows as Draft |
| 5 | Flow activation / post-verify |
This ordering prevents many dependency and FLS failures.
Required Context to Gather First
Ask for or infer:
- target org alias and environment type
- deployment scope: source-dir, metadata list, or manifest
- whether this is validate-only, deploy, quick deploy, retrieve, or CI/CD guidance
- required test level and rollback expectations
- whether special metadata types are involved (Flow, permission sets, agents, packages)
Preflight checks:
sf --version
sf org list
sf org display --target-org <alias> --json
test -f sfdx-project.json
Recommended Workflow
1. Preflight
Confirm auth, repo shape, package directories, and target scope.
2. Validate first
sf project deploy start --dry-run --source-dir force-app --target-org <alias> --wait 30 --json
Use manifest- or metadata-scoped validation when the change set is targeted.
3. If validation succeeds, offer the next safe workflow
After a successful validation, guide the user to the correct next action:
- deploy now
- assign permission sets
- create test data via sf-data
- run tests / smoke checks
- orchestrate multiple post-deploy steps in order
4. Deploy the smallest correct scope
# source-dir deploy
sf project deploy start --source-dir force-app --target-org <alias> --wait 30 --json
# manifest deploy
sf project deploy start --manifest manifest/package.xml --target-org <alias> --test-level RunLocalTests --wait 30 --json
# manifest deploy with Spring '26 relevant-test selection
sf project deploy start --manifest manifest/package.xml --target-org <alias> --test-level RunRelevantTests --wait 30 --json
# quick deploy after successful validation
sf project deploy quick --job-id <validation-job-id> --target-org <alias> --json
5. Verify
sf project deploy report --job-id <job-id> --target-org <alias> --json
Then verify tests, Flow state, permission assignments, and smoke-test behavior.
6. Report clearly
Summarize what deployed, what failed, what was skipped, and what the next safe action is.
Output template: references/deployment-report-template.md
High-Signal Failure Patterns
| Error / symptom | Likely cause | Default fix direction |
|---|---|---|
FIELD_CUSTOM_VALIDATION_EXCEPTION | validation rule or bad test data | adjust data or rule timing |
INVALID_CROSS_REFERENCE_KEY | missing dependency | include referenced metadata first |
CANNOT_INSERT_UPDATE_ACTIVATE_ENTITY | trigger / Flow / validation side effect | inspect automation stack and failing logic |
| tests fail during deploy | broken code or fragile tests | run targeted tests, fix root cause, revalidate |
| field/object not found in permset | wrong order | deploy objects/fields before permission sets |
| Flow invalid / version conflict | dependency or activation problem | deploy as Draft, verify, then activate |
Full workflows: references/orchestration.md, references/trigger-deployment-safety.md
CI/CD Guidance
Default pipeline shape:
- authenticate
- validate repo / org state
- static analysis
- dry-run deploy
- tests + coverage gates
- deploy
- verify + notify
- When org policy and release risk allow it, consider
--test-level RunRelevantTestsfor Apex-heavy deployments. - Pair this with modern Apex test annotations such as
@IsTest(testFor=...)and@IsTest(isCritical=true)as documented insf-apex.
Static analysis now uses Code Analyzer v5 (sf code-analyzer), not retired sf scanner.
Deep reference: references/deployment-workflows.md
Agentforce Deployment Note
Use this skill to orchestrate deployment/publish sequencing around agents, but use the agent-specific skills for authoring decisions:
- sf-ai-agentscript for
.agentauthoring and validation - sf-ai-agentforce for Agent Builder / Prompt Builder / metadata config
For full agent DevOps details, including Agent: pseudo metadata, publish/activate, and sync-between-orgs, see:
- references/agent-deployment-guide.md
Cross-Skill Integration
| Need | Delegate to | Reason |
|---|---|---|
| custom object / field creation | sf-metadata | define metadata before deploy |
| Apex compile / review / fixes | sf-apex | code authoring and repair |
| Flow creation / repair | sf-flow | Flow authoring and activation guidance |
| test data or seed records | sf-data | describe-first data setup and cleanup |
| Agent Script build/publish readiness | sf-ai-agentscript | agent-specific correctness |
Reference Map
Start here
- references/orchestration.md
- references/deployment-workflows.md
- references/deployment-report-template.md
Specialized deployment safety
- references/trigger-deployment-safety.md
- references/agent-deployment-guide.md
- references/deploy.sh
Score Guide
| Score | Meaning |
|---|---|
| 90+ | strong deployment plan and execution guidance |
| 75–89 | good deploy guidance with minor review items |
| 60–74 | partial coverage of deployment risk |
| < 60 | insufficient confidence; tighten plan before rollout |
Completion Format
Deployment goal: <validate / deploy / retrieve / pipeline>
Target org: <alias>
Scope: <source-dir / metadata / manifest>
Result: <passed / failed / partial>
Key findings: <errors, ordering, tests, skipped items>
Next step: <safe follow-up action>
FAQ
What does the sf-deploy skill do?
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).
How do I install sf-deploy?
Run npx skills add https://github.com/jaganpro/sf-skills --skill sf-deploy 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-deploy/ (personal) or .claude/skills/sf-deploy/ (project).
Which AI agents can use sf-deploy?
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-deploy 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-deploy?
It is published by jaganpro in jaganpro/sf-skills. It has 1,453 recorded installs.
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