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Salesforce

Query Salesforce data and manage sales pipelines using the `sf` CLI. Use for SOQL queries (simple to complex), opportunity pipeline analysis, forecast reporting, data exports, schema exploration, and CRM data operations. Also use for executive workflows like looking up deals by name, finding contact info to email prospects, preparing pipeline reviews, and cross-referencing CRM data with other tools. Triggers on Salesforce, SOQL, pipeline, opportunity, forecast, CRM data, deal lookup, prospect email, account info, or sf CLI questions.

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Query Salesforce data and manage sales pipelines using the `sf` CLI. Use for SOQL queries (simple to complex), opportunity pipeline analysis, forecast reporting, data exports, schema exploration, and CRM data operations. Also use for executive workflows like looking up deals by name, finding contact info to email prospects, preparing pipeline reviews, and cross-referencing CRM data with other tools. Triggers on Salesforce, SOQL, pipeline, opportunity, forecast, CRM data, deal lookup, prospect email, account info, or sf CLI questions.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/schema-export.sh, references/pipeline-queries.md, references/soql-patterns.md

Validation

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  • Review SKILL.md after the package is downloaded.
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I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 23 sections Open source page

Salesforce DX โ€” Data & Pipeline

Query data and manage pipelines with the sf CLI.

Prerequisites

# Verify CLI and auth sf --version sf org list If no orgs listed, authenticate: sf org login web --alias my-org --set-default

Schema Discovery

Before querying, explore available objects and fields: # List all objects sf sobject list --target-org my-org # Describe object fields sf sobject describe --sobject Opportunity --target-org my-org # Quick field list (names only) sf sobject describe --sobject Opportunity --target-org my-org | grep -E "^name:|^type:"

Basic Patterns

# Simple query sf data query -q "SELECT Id, Name, Amount FROM Opportunity LIMIT 10" # With WHERE clause sf data query -q "SELECT Id, Name FROM Opportunity WHERE StageName = 'Closed Won'" # Date filtering sf data query -q "SELECT Id, Name FROM Opportunity WHERE CloseDate = THIS_QUARTER" # Export to CSV sf data query -q "SELECT Id, Name, Amount FROM Opportunity" --result-format csv > opps.csv

Relationships

# Parent lookup (Account from Opportunity) sf data query -q "SELECT Id, Name, Account.Name, Account.Industry FROM Opportunity" # Child subquery (Opportunities from Account) sf data query -q "SELECT Id, Name, (SELECT Id, Name, Amount FROM Opportunities) FROM Account LIMIT 5"

Aggregations

# COUNT sf data query -q "SELECT COUNT(Id) total FROM Opportunity WHERE IsClosed = false" # SUM and GROUP BY sf data query -q "SELECT StageName, SUM(Amount) total FROM Opportunity GROUP BY StageName" # Multiple aggregates sf data query -q "SELECT StageName, COUNT(Id) cnt, SUM(Amount) total, AVG(Amount) avg FROM Opportunity GROUP BY StageName"

Bulk Queries (Large Datasets)

# Use --bulk for >2000 records sf data query -q "SELECT Id, Name, Amount FROM Opportunity" --bulk --wait 10

Pipeline Snapshot

# Open pipeline by stage sf data query -q "SELECT StageName, COUNT(Id) cnt, SUM(Amount) total FROM Opportunity WHERE IsClosed = false GROUP BY StageName ORDER BY StageName" # Pipeline by owner sf data query -q "SELECT Owner.Name, SUM(Amount) total FROM Opportunity WHERE IsClosed = false GROUP BY Owner.Name ORDER BY SUM(Amount) DESC" # Pipeline by close month sf data query -q "SELECT CALENDAR_MONTH(CloseDate) month, SUM(Amount) total FROM Opportunity WHERE IsClosed = false AND CloseDate = THIS_YEAR GROUP BY CALENDAR_MONTH(CloseDate) ORDER BY CALENDAR_MONTH(CloseDate)"

Win/Loss Analysis

# Win rate by stage sf data query -q "SELECT StageName, COUNT(Id) FROM Opportunity WHERE IsClosed = true GROUP BY StageName" # Closed won this quarter sf data query -q "SELECT Id, Name, Amount, CloseDate FROM Opportunity WHERE StageName = 'Closed Won' AND CloseDate = THIS_QUARTER ORDER BY Amount DESC" # Lost deals with reasons sf data query -q "SELECT Id, Name, Amount, StageName, Loss_Reason__c FROM Opportunity WHERE StageName = 'Closed Lost' AND CloseDate = THIS_QUARTER"

Forecast Queries

# Weighted pipeline (assumes Probability field) sf data query -q "SELECT StageName, SUM(Amount) gross, SUM(ExpectedRevenue) weighted FROM Opportunity WHERE IsClosed = false GROUP BY StageName" # Deals closing this month sf data query -q "SELECT Id, Name, Amount, StageName, CloseDate FROM Opportunity WHERE CloseDate = THIS_MONTH AND IsClosed = false ORDER BY Amount DESC" # Stale deals (no activity in 30 days) sf data query -q "SELECT Id, Name, Amount, LastActivityDate FROM Opportunity WHERE IsClosed = false AND LastActivityDate < LAST_N_DAYS:30"

Create Records

sf data create record -s Opportunity -v "Name='New Deal' StageName='Prospecting' CloseDate=2024-12-31 Amount=50000"

Update Records

# By ID sf data update record -s Opportunity -i 006xx000001234 -v "StageName='Negotiation'" # Bulk update via CSV sf data upsert bulk -s Opportunity -f updates.csv -i Id --wait 10

Export/Import

# Export with relationships sf data export tree -q "SELECT Id, Name, (SELECT Id, Subject FROM Tasks) FROM Account WHERE Industry = 'Technology'" -d ./export # Import sf data import tree -f ./export/Account.json

JSON Output for Scripting

Add --json for structured output: sf data query -q "SELECT Id, Name, Amount FROM Opportunity WHERE IsClosed = false" --json Parse with jq: sf data query -q "SELECT Id, Name FROM Opportunity LIMIT 5" --json | jq '.result.records[].Name'

Common Date Literals

LiteralMeaningTODAYCurrent dayTHIS_WEEKCurrent weekTHIS_MONTHCurrent monthTHIS_QUARTERCurrent quarterTHIS_YEARCurrent yearLAST_N_DAYS:nPast n daysNEXT_N_DAYS:nNext n daysLAST_QUARTERPrevious quarter

Troubleshooting

"Malformed query" โ€” Check field API names (not labels). Use sf sobject describe to verify. "QUERY_TIMEOUT" โ€” Add filters, use --bulk, or add LIMIT. "INVALID_FIELD" โ€” Field may not exist on that object or your profile lacks access. Large result sets โ€” Use --bulk flag for queries returning >2000 records.

Quick Deal Lookup

Find a deal by name or account: # By opportunity name (fuzzy) sf data query -q "SELECT Id, Name, Amount, StageName, CloseDate, Owner.Name, Account.Name FROM Opportunity WHERE Name LIKE '%Acme%' ORDER BY Amount DESC" # By account name sf data query -q "SELECT Id, Name, Amount, StageName, CloseDate FROM Opportunity WHERE Account.Name LIKE '%Microsoft%' AND IsClosed = false" # Recent deals I own sf data query -q "SELECT Id, Name, Amount, StageName, CloseDate, Account.Name FROM Opportunity WHERE OwnerId = '<my-user-id>' AND IsClosed = false ORDER BY CloseDate"

Get Contact Info for Outreach

Find someone to email at a company: # Contacts at an account sf data query -q "SELECT Id, Name, Email, Phone, Title FROM Contact WHERE Account.Name LIKE '%Acme%'" # Decision makers (by title) sf data query -q "SELECT Name, Email, Title, Account.Name FROM Contact WHERE Title LIKE '%CEO%' OR Title LIKE '%VP%' OR Title LIKE '%Director%'" # Contacts on a specific deal sf data query -q "SELECT Contact.Name, Contact.Email, Contact.Title, Role FROM OpportunityContactRole WHERE Opportunity.Name LIKE '%Acme%'"

Prep for Pipeline Review

Get a quick executive summary: # Top 10 deals closing this quarter sf data query -q "SELECT Name, Account.Name, Amount, StageName, CloseDate, Owner.Name FROM Opportunity WHERE CloseDate = THIS_QUARTER AND IsClosed = false ORDER BY Amount DESC LIMIT 10" # Deals by rep (for 1:1s) sf data query -q "SELECT Owner.Name, COUNT(Id) deals, SUM(Amount) total FROM Opportunity WHERE IsClosed = false GROUP BY Owner.Name ORDER BY SUM(Amount) DESC" # Deals needing attention (stale) sf data query -q "SELECT Name, Amount, StageName, LastActivityDate, Owner.Name FROM Opportunity WHERE IsClosed = false AND LastActivityDate < LAST_N_DAYS:14 ORDER BY Amount DESC LIMIT 10"

Account Intelligence

Before a call or meeting: # Account overview sf data query -q "SELECT Id, Name, Industry, BillingCity, Website, OwnerId FROM Account WHERE Name LIKE '%Acme%'" # All open deals with account sf data query -q "SELECT Name, Amount, StageName, CloseDate FROM Opportunity WHERE Account.Name LIKE '%Acme%' AND IsClosed = false" # Recent activities sf data query -q "SELECT Subject, Status, ActivityDate FROM Task WHERE Account.Name LIKE '%Acme%' ORDER BY ActivityDate DESC LIMIT 5"

Cross-Tool Workflows

Salesforce + Email (via gog/gmail): Find contact email: sf data query -q "SELECT Email FROM Contact WHERE Account.Name LIKE '%Acme%'" Draft email using that address with your email tool Salesforce + Calendar: Find deals closing soon: sf data query -q "SELECT Name, Account.Name, CloseDate FROM Opportunity WHERE CloseDate = THIS_WEEK" Cross-reference with calendar to ensure follow-ups scheduled Quick CRM Update After Call: # Log a task sf data create record -s Task -v "Subject='Call with John' WhatId='<opportunity-id>' Status='Completed' ActivityDate=$(date +%Y-%m-%d)" # Update opportunity stage sf data update record -s Opportunity -i <opp-id> -v "StageName='Negotiation' NextStep='Send proposal'"

Finding Your User ID

Needed for "deals I own" queries: sf data query -q "SELECT Id, Name FROM User WHERE Email = 'your.email@company.com'" Store this in your local config for quick reference.

References

soql-patterns.md โ€” Advanced SOQL patterns (polymorphic, semi-joins, formula fields) pipeline-queries.md โ€” Ready-to-use pipeline and forecast queries

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

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Package contents

Included in package
3 Docs1 Scripts
  • SKILL.md Primary doc
  • references/pipeline-queries.md Docs
  • references/soql-patterns.md Docs
  • scripts/schema-export.sh Scripts