Sf-skills sf-metadata

install
source · Clone the upstream repo
git clone https://github.com/Jaganpro/sf-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/Jaganpro/sf-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/sf-metadata" ~/.claude/skills/jaganpro-sf-skills-sf-metadata && rm -rf "$T"
manifest: skills/sf-metadata/SKILL.md
source content

sf-metadata: Salesforce Metadata Generation and Org Querying

Use this skill when the user needs metadata definition or org metadata discovery: custom objects, fields, validation rules, record types, page layouts, permission sets, or schema inspection with

sf
CLI.

When This Skill Owns the Task

Use

sf-metadata
when the work involves:

  • object, field, validation rule, record type, layout, profile, or permission-set metadata
  • .object-meta.xml
    ,
    .field-meta.xml
    ,
    .profile-meta.xml
    , and related metadata files
  • describing schema before coding or Flow work
  • generating metadata XML from requirements

Delegate elsewhere when the user is:


Required Context to Gather First

Ask for or infer:

  • whether the user wants generation or querying
  • metadata type(s) involved
  • target object / field / package directory
  • target org alias if querying is required
  • whether new custom objects or fields should also include permission-set / FLS generation

Unless the user explicitly opts out, assume new custom objects or fields need permission-set follow-up.


Recommended Workflow

1. Choose the mode

ModeUse when
generationthe user wants new or updated metadata XML
queryingthe user needs object / field / metadata discovery

2. Start from templates or CLI describe data

For generation, use the assets under:

  • assets/objects/
  • assets/fields/
  • assets/permission-sets/
  • assets/profiles/
  • assets/record-types/
  • assets/validation-rules/
  • assets/layouts/

For querying, prefer

sf
metadata and
sobject describe
commands.

Recent SDR/CLI support worth knowing when reading older examples:

CnfgItemSourceDefinition
,
ExtlClntAppOauthSecuritySettings
, and
UIBundle
are now source-supported under their current names. See references/metadata-types-reference.md.

3. Validate metadata quality

Check:

  • naming conventions
  • structural correctness
  • field-type fit
  • security / FLS implications
  • downstream deployment dependencies

4. Plan permission impact by default

When new custom fields or objects are created:

  • default to generating or updating a Permission Set unless the user opts out
  • include
    fieldPermissions
    for eligible custom fields
  • note any metadata categories that are excluded because Salesforce treats them as system-managed or always-available
  • remember that object CRUD alone does not make custom fields visible

5. Hand off deployment

Use sf-deploy when the user needs the metadata rolled out.


High-Signal Rules

  • field-level security is often the hidden blocker after deployment
  • object permissions ≠ field permissions
  • prefer permission sets over profile-centric access patterns
  • generate Permission Set follow-up by default for new custom objects and fields
  • include
    fieldPermissions
    for eligible custom fields instead of leaving FLS as a manual afterthought
  • avoid hardcoded IDs in formulas or metadata logic
  • validation rules should have intentional bypass strategy when operationally necessary
  • create metadata before attempting Flow or data tasks that depend on it

Output Format

When finishing, report in this order:

  1. Metadata created or queried
  2. Files created or updated
  3. Key schema/security decisions
  4. Permission / layout follow-ups
  5. Deploy next step

Suggested shape:

Metadata task: <generate / query>
Items: <objects, fields, rules, layouts, permsets>
Files: <paths>
Notes: <naming, field types, security, dependencies>
Next step: <deploy, assign permset, or verify in Setup>

Cross-Skill Integration

NeedDelegate toReason
deploy metadatasf-deployrollout and validation
build Flows on new schemasf-flowdeclarative automation
build Apex on new schemasf-apexcode against metadata
analyze permission access after creationsf-permissionsaccess auditing
seed data after deploysf-datatest data creation

Reference Map

Start here

Security / scoring / examples


Score Guide

ScoreMeaning
108+strong production-ready metadata
96–107good metadata with minor review items
84–95acceptable but validate carefully
< 84block deployment until corrected