agentleFS
iblaiiblai/financial-services-agents/skills/salesforce-financial-services-cloud/SKILL.md

salesforce-financial-services-cloud

Skill15 starsChanged 5 months agoMITView on GitHub

Salesforce CRM for financial advisors and wealth management firms; lets an agent read and write client profiles, household data, suitability records, and onboarding workflow state.

  • Reads credentials

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Look up household relationship maps and linked accounts for advisory conversations

    line 14
  2. Distinctive:

    Create or update household and account records during client onboarding

    line 18
  3. Distinctive:

    Use a dedicated integration user with least-privilege FSC permission set.

    line 38

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Salesforce Financial Services Cloud

What it is

Salesforce Financial Services Cloud (FSC) is the industry-specific CRM built for wealth management, banking, and insurance. It extends Salesforce with household relationship maps, financial account objects, suitability records, and advisory workflow automation. Firms use it as the system of record for client relationships, risk profiles, and interaction history.

When to use this skill

  • Retrieve or update a client's investment objectives, risk tolerance, and time horizon
  • Look up household relationship maps and linked accounts for advisory conversations
  • Log advisory interactions, next actions, or document delivery confirmations
  • Track onboarding workflow stage and outstanding items for a new account
  • Pull upcoming client review dates, birthday reminders, or workflow tasks
  • Create or update household and account records during client onboarding

Credentials

This skill authenticates using env vars declared in metadata above. Set them in ~/.openclaw/.env (see .env.example at the config root). Required variables:

  • SFDC_FSC_CLIENT_ID - Connected App OAuth client ID
  • SFDC_FSC_CLIENT_SECRET - Connected App OAuth client secret
  • SFDC_FSC_USERNAME - API service account username
  • SFDC_FSC_PASSWORD - API service account password + security token
  • SFDC_FSC_BASE_URL - Instance URL (e.g. https://yourorg.my.salesforce.com)

Key operations

  • GET /services/data/vXX.X/sobjects/Account/{id} — retrieve client or household record
  • GET /services/data/vXX.X/query?q=SELECT... — SOQL query for client profiles, tasks, notes
  • POST /services/data/vXX.X/sobjects/Task/ — log interaction or create follow-up task
  • PATCH /services/data/vXX.X/sobjects/FinancialAccount/{id} — update account suitability fields
  • GET /services/data/vXX.X/sobjects/FinancialGoal/ — retrieve financial plan goals

Notes

  • API version should be pinned; FSC objects require API v48.0+ for full Financial Services data model support
  • Governor limits: 100,000 SOQL queries per 24-hour period per org; batch inserts limited to 200 records per call
  • Use a dedicated integration user with least-privilege FSC permission set; avoid sharing advisor-facing login credentials
  • Sandbox environments use a separate SFDC_FSC_BASE_URL ending in .sandbox.my.salesforce.com

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.