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 (us

By jaganpro · 1,455 installs

npx skills add jaganpro/sf-skills --skill sf-deploy

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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 apex/SKILL.md), [sf lwc](../sf lwc/SKILL.md) creating metadata definitions → [sf metadata](../sf metadata/SKILL.md) building Flows → [sf flow](../sf flow/SKILL.md) doing org data operations → [sf data](../sf data/SKILL.md) authoring Agent Script logic → [sf ai agentscript](../sf ai agentscript/SKILL.md) 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 sf data after 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: Recommended Workflow 1. Preflight Confirm auth, repo shape, package directories, and target scope. 2. Validate first 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 [sf data](../sf data/SKILL.md) 4. run tests / smoke checks 5. orchestrate multiple post deploy steps in order 4. Deploy the smallest correct scope 5. Verify 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](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/orchestration.md), [references/trigger deployment safety.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) as documented in sf apex . Static analysis now uses Code Analyzer v5 ( sf code analyzer ), not retired sf scanner . Deep reference: [references/deployment workflows.md](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](../sf ai agentscript/SKILL.md) for .agent authoring and validation [sf ai agentforce](../sf ai agentforce/SKILL.md) 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](references/agent deployment guide.md) Cross Skill Integration Need Delegate to Reason custom object / field creation [sf metadata](../sf metadata/SKILL.md) define metadata before deploy Apex compile / review / fixes [sf apex](../sf apex/SKILL.md) code authoring and repair Flow creation / repair [sf flow](../sf flow/SKILL.md) Flow authoring and activation guidance test data or seed records [sf data](../sf data/SKILL.md) describe first data setup and cleanup Agent Script build/publish readiness [sf ai agentscript](../sf ai agentscript/SKILL.md) agent specific correctness Reference Map Start here [references/orchestration.md](references/orchestration.md) [references/deployment workflows.md](references/deployment workflows.md) [references/deployment report template.md](references/deployment report template.md) Specialized deployment safety [references/trigger deployment safety.md](references/trigger deployment safety.md) [references/agent deployment guide.md](references/agent deployment guide.md) [references/deploy.sh](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