Dx Pkg Post Install Configure logo

Dx Pkg Post Install Configure

OrganizationPopular
forcedotcom
dx-pkg-post-install-configure

Use this skill to automate managed package post-install configuration. Package-agnostic — works with any managed package (LMA, FMA, work.com, Certinia, etc.). TRIGGER when: user installs a managed package and needs post-install configuration, mentions LMA/FMA/work.com post-install setup, asks to configure permission sets/FLS/page layouts for an installed package, says 'post-install', 'package setup', 'configure LMA', 'set up FMA', 'post-install steps'. DO NOT TRIGGER for: standalone permission set assignment (use dx-org-permission-set-assign), generating permission set metadata XML (use platform-permission-set-generate), package installation, or org switching.

Overview

Publisherforcedotcom
Repositorysf-skills
Skill namedx-pkg-post-install-configure
Stars
1.1K
Forks
351
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by forcedotcom on GitHub. Read the source before you install it.

Installation

Install the Dx Pkg Post Install Configure AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/dx-org-lifecycle/skills/dx-pkg-post-install-configure
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/forcedotcom/sf-skills.git /tmp/sf-skills
mkdir -p .claude/skills
cp -r /tmp/sf-skills/plugins/builder/dx-org-lifecycle/skills/dx-pkg-post-install-configure .claude/skills/dx-pkg-post-install-configure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dx Pkg Post Install Configure in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dx Pkg Post Install Configure on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dx Pkg Post Install Configure is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

When to Use This Skill

Use when automating post-install configuration for any Salesforce managed package. This skill reads the package's post-install documentation, discovers available execution methods, and automates the configuration steps — including permission sets, object/field permissions, page layouts, Visualforce page access, and tab settings.

Input

  • Required: Package name (e.g., LMA, FMA, work.com)
  • Optional: Path to post-install doc (PDF, markdown, URL)

If no doc is provided, ask the user to supply it.

Workflow

Execute phases in order. Each phase must pass before proceeding.


Phase 1: Discover Available Execution Methods

Priority order:

  1. Org-native platform MCP servers (highest — direct org access via Headless 360)
  2. Claude Code external MCP servers (sf-sobject-all, sf-sobject-all-sb, etc.)
  3. sf CLI fallback (always available if authenticated)
Step 1A: Resolve org API version

Discover the org's current API version dynamically — never hardcode a version number:

bash
sf org display --target-org <alias> --json

From the JSON response, read result.apiVersion (e.g., "67.0"). Store this value and use it as v<apiVersion> in all subsequent REST paths. If the command fails, fall back to the minApiVersion declared in this skill's metadata (67.0).

Step 1B: Check for org-native platform MCP servers

Query the Tooling API for MCP server availability:

bash
sf api request rest "/services/data/v<apiVersion>/tooling/query?q=SELECT+Id,DeveloperName,MasterLabel+FROM+McpServerAccess" --target-org <alias>
Step 1C: Determine execution method

Check which Claude Code MCP tools are available and authenticated.

MCP tool prefixes by org type:

Org TypeTool Prefix
Productionmcp__sf-sobject-all__
Sandboxmcp__sf-sobject-all-sb__
Falcon Test (pc-rnd)mcp__sf-sobject-all-falcon__

If MCP needs auth, call the authenticate tool. If auth fails, fall back to sf CLI.


Phase 2: Verify Authentication & Org Identity

  1. Run a lightweight test query (SELECT Id, Name, IsSandbox FROM Organization)
  2. If MCP auth fails, automatically fall back to sf CLI
  3. Display org info and ask user to confirm before proceeding

Phase 3: Verify Package Installation

  1. Determine the package namespace (ask user if unknown)
  2. Check via Tooling API (InstalledSubscriberPackage) — do NOT use PackageLicense
  3. If package not found, stop and inform user

Phase 4: Read and Parse Post-Install Document

Read the provided document and extract discrete configuration steps.

Supported formats: PDF, markdown, URL (via WebFetch), pasted text.

Parsing approach:

  1. Extract each numbered/bulleted step from the document
  2. Present the extracted steps to the user for validation before proceeding

Phase 5: Classify Steps & Interactive Plan Review

For each step extracted from the doc, classify as Automated or Manual.

Automation capabilities reference

Via MCP (sobject-all) or sf CLI CRUD:

  • Record CRUD on any standard or custom object (PermissionSet, ObjectPermissions, FieldPermissions, SetupEntityAccess, PermissionSetTabSetting, PermissionSetAssignment, etc.)

Via Metadata API retrieve/deploy (sf CLI):

  • Page layout modifications (add related lists, fields, sections)
  • Profile settings
  • Custom metadata type records

Via sf CLI Tooling API:

  • Tooling queries (InstalledSubscriberPackage, ApexPage, ApexClass, etc.)
  • Any REST-accessible Tooling operation

Manual (no API path — requires Setup UI):

  • System permissions not exposed via REST
  • Connected app OAuth configuration
  • Environment Hub linkage
Interactive approval

Present the classified plan and let the user choose:

  • "Approve all" — Execute all steps as planned
  • "Let me choose" — Select which steps to approve/skip
  • "I have questions" — Discuss specific steps before deciding

Phase 6: Execute Approved Steps

For each approved step, use the resolved execution method.

Execution method reference
OperationVia MCPVia sf CLI
SOQL querysoqlQuery toolsf data query --query "<SOQL>" --target-org <alias> --json
Create recordcreateSobjectRecord toolsf data create record --sobject <Object> --values "..." --target-org <alias> --json
Update recordupdateSobjectRecord toolsf data update record --sobject <Object> --record-id <id> --values "..." --target-org <alias> --json
Describe objectgetObjectSchema toolsf api request rest "/services/data/v<apiVersion>/sobjects/<Object>/describe" --target-org <alias>
Page layoutN/AMetadata API retrieve/deploy
Page layout modifications via Metadata API

Use sf project retrieve start → edit the layout XML → sf project deploy start.

Execution rules
  • Idempotency: Before creating any record, query to check if it already exists. Skip if so.
  • Report after each step: Show success count, skipped items, and reasons.
  • Automatic fallback: If MCP fails mid-execution, retry via sf CLI.
  • On failure: Report error, ask user to retry/skip/stop.

Phase 7: Guide Manual Steps (if any)

If any steps could not be automated, present each with Setup navigation instructions. Wait for user confirmation before proceeding to the next.


Phase 8: Summary

Display final summary with step-by-step status, method used, and any skipped items.


Error Handling

  • Auth failure mid-execution: Stop, ask user to re-auth, offer to resume
  • Duplicate record errors: Treat as "already configured", skip and continue
  • Permission errors: Report which permission is missing, suggest resolution
  • Unknown step type: Ask user to clarify, offer to mark as manual

Notes

  • Priority: org-native MCP > Claude Code MCP > sf CLI > manual
  • sf CLI is always a valid fallback for all CRUD and Tooling API operations
  • Page layout modifications are automated via Metadata API retrieve/deploy
  • Always verify org identity before making changes
  • All actions respect the authenticated user's permissions

Frequently asked questions

What does the Dx Pkg Post Install Configure AI skill do?

Use this skill to automate managed package post-install configuration. Package-agnostic — works with any managed package (LMA, FMA, work.com, Certinia, etc.). TRIGGER when: user installs a managed package and needs post-install configuration, mentions LMA/FMA/work.com post-install setup, asks to configure permission sets/FLS/page layouts for an installed package, says 'post-install', 'package setup', 'configure LMA', 'set up FMA', 'post-install steps'. DO NOT TRIGGER for: standalone permission set assignment (use dx-org-permission-set-assign), generating permission set metadata XML (use pla...

Why use Dx Pkg Post Install Configure on TypingMind?

Because you install it once and use it with any model. Dx Pkg Post Install Configure is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dx Pkg Post Install Configure in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/dx-org-lifecycle/skills/dx-pkg-post-install-configure. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dx Pkg Post Install Configure?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dx Pkg Post Install Configure?

As many as you like. As long as a model supports skills, you can use Dx Pkg Post Install Configure with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dx Pkg Post Install Configure AI skill free?

Yes. It is published on GitHub by forcedotcom under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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