platform-metadata-deploy: Comprehensive Salesforce DevOps Automation

SkillCloud & infra

Lets your agent deploy Salesforce metadata, manage scratch orgs and sandboxes, and fix deployment errors.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the platform-metadata-deploy: Comprehensive Salesforce DevOps Automation skill

About this skill

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 code (use platform-apex-generate), building LWC componen

What this skill tells your AI

The instructions your AI receives, as published by forcedotcom/sf-skills in skills/platform-metadata-deploy/SKILL.md and read by ahel’s review.

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 platform-metadata-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:


Critical Operating Rules

  • Use sf CLI v2 only.
  • On non-source-tracking orgs, deploy/retrieve commands require an explicit scope such as --source-dir, --metadata, or --manifest.
  • Prefer --dry-run first before real deploys.
  • For Flows, deploy safely and activate only after validation.
  • Keep test-data creation guidance delegated to platform-data-manage after metadata is validated or deployed.

Default deployment order

PhaseMetadata
1Custom objects / fields
2Permission sets
3Apex
4Flows as Draft
5Flow 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:

  1. deploy now
  2. assign permission sets
  3. create test data via platform-data-manage
  4. run tests / smoke checks
  5. 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 / symptomLikely causeDefault fix direction
FIELD_CUSTOM_VALIDATION_EXCEPTIONvalidation rule or bad test dataadjust data or rule timing
INVALID_CROSS_REFERENCE_KEYmissing dependencyinclude referenced metadata first
CANNOT_INSERT_UPDATE_ACTIVATE_ENTITYtrigger / Flow / validation side effectinspect automation stack and failing logic
tests fail during deploybroken code or fragile testsrun targeted tests, fix root cause, revalidate
field/object not found in permsetwrong orderdeploy objects/fields before permission sets
Flow invalid / version conflictdependency or activation problemdeploy as Draft, verify, then activate

Full workflows: references/orchestration.md, references/trigger-deployment-safety.md


CI/CD Guidance

Default pipeline shape:

  1. authenticate
  2. validate repo / org state
  3. static analysis
  4. dry-run deploy
  5. tests + coverage gates
  6. deploy
  7. verify + notify
  • When org policy and release risk allow it, consider --test-level RunRelevantTests for Apex-heavy deployments.
  • Pair this with modern Apex test annotations such as @IsTest(testFor=...) and @IsTest(isCritical=true) — see platform-apex-generate for authoring guidance.

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 skill for authoring decisions:

For full agent DevOps details, including Agent: pseudo metadata, publish/activate, and sync-between-orgs, see:


Cross-Skill Integration

NeedDelegate toReason
custom object creationplatform-custom-object-generatedefine objects before deploy
custom field creationplatform-custom-field-generatedefine fields before deploy
Apex authoring / fixesplatform-apex-generatecode authoring and repair
Flow creation / repairautomation-flow-generateFlow authoring and activation guidance
test data or seed recordsplatform-data-managedescribe-first data setup and cleanup
Agent authoring and publish readinessagentforce-generateagent-specific correctness

Reference Map

Start here

Specialized deployment safety

Asset templates


Score Guide

ScoreMeaning
90+strong deployment plan and execution guidance
75–89good deploy guidance with minor review items
60–74partial coverage of deployment risk
< 60insufficient 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>

Signals

GitHub stars
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Forks
348
Last commit
Sep 2026
Advanced
Item type
skill
Key
platform-metadata-deploy
Source
github.com/forcedotcom/sf-skills