据 AlphaMoat 统计,截至 2026-09,Salesforce 累计下载 3,650 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 2,969 位,在「商业运营」分类(297 个)中排名第 160 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 106 | 3,371 | 1 | - |
| SkillHub ↗ | 106 | 3,650 | 1 | — |
各平台的计数口径不同,统计时间不一致。
主文提供对象与字段发现、SOQL 查询、关系查询、聚合分析、数据导出及销售管线工作流。已认证的命令可读取或导出敏感 CRM 数据,且部分命令可创建、更新或批量写入记录。使用前应确认目标组织,限制字段和记录范围;任何导出或写操作均需审批并复核对象、过滤条件和记录标识。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,650 | — | 1 |
| 2026-08 | 3,280 | +5.8% | 1 |
| 2026-07 | 3,099 | — | 1 |
| 2026-05 | 2,698 | — | 1 |
| 2026-03 | 2,064 | — | 1 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: salesforce-dx description: 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. --- # Salesforce DX — Data & Pipeline Query data and manage pipelines with the `sf` CLI. ## Prerequisites
```bash # Verify CLI and auth sf --version sf org list ``` If no orgs listed, authenticate: ```bash sf org login web --alias my-org --set-default ``` ## Schema Discovery Before querying, explore available objects and fields: ```bash # 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:" ``` ## SOQL Queries ### Basic Patterns ```bash # 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 ```bash # 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 ```bash # 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) ```bash # Use --bulk for >2000 records sf data query -q "SELECT Id, Name, Amount FROM Opportunity" --bulk --wait 10 ``` ## Pipeline Management ### Pipeline Snapshot ```bash # 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 ```bash # 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 ```bash # 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" ``` ## Data Operations ### Create Records ```bash sf data create record -s Opportunity -v "Name='New Deal' StageName='Prospecting' CloseDate=2024-12-31 Amount=50000" ``` ### Update Records ```bash # 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 ```bash # 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: ```bash sf data query -q "SELECT Id, Name, Amount FROM Opportunity WHERE IsClosed = false" --json ``` Parse with jq: ```bash sf data query -q "SELECT Id, Name FROM Opportunity LIMIT 5" --json | jq '.result.records[].Name' ``` ## Common Date Literals | Literal | Meaning | |---------|---------| | TODAY | Current day | | THIS_WEEK | Current week | | THIS_MONTH | Current month | | THIS_QUARTER | Current quarter | | THIS_YEAR | Current year | | LAST_N_DAYS:n | Past n days | | NEXT_N_DAYS:n | Next n days | | LAST_QUARTER | Previous quarter | ## Troubleshooting **"Malformed query"** — Check field API names (not labels). Use `sf sobject describe` to verify. **"QUERY_TIMEOUT"** — Add filters, use `--bulk`, or add `LIMIT`. **"INVALID_FIELD"** — Field may not exist on that object or your profile lacks access. **Large result sets** — Use `--bulk` flag for queries returning >2000 records. ## Executive Workflows ### Quick Deal Lookup Find a deal by name or account: ```bash # 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: ```bash # 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: ```bash # 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: ```bash # 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):** 1. Find contact email: `sf data query -q "SELECT Email FROM Contact WHERE Account.Name LIKE '%Acme%'"` 2. Draft email using that address with your email tool **Salesforce + Calendar:** 1. Find deals closing soon: `sf data query -q "SELECT Name, Account.Name, CloseDate FROM Opportunity WHERE CloseDate = THIS_WEEK"` 2. Cross-reference with calendar to ensure follow-ups scheduled **Quick CRM Update After Call:** ```bash # 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: ```bash sf data query -q "SELECT Id, Name FROM User WHERE Email = '[email protected]'" ``` Store this in your local config for quick reference. ## References - **[soql-patterns.md](references/soql-patterns.md)** — Advanced SOQL patterns (polymorphic, semi-joins, formula fields) - **[pipeline-queries.md](references/pipeline-queries.md)** — Ready-to-use pipeline and forecast queries
为 AI agent 提供电话号码并代办电话事务的技能。
通过 Trello REST API 管理看板、列表与卡片。
通过知了标讯接口查询和分析招投标相关信息。
产品经理工作台:从需求分析到 PRD 与迭代规划。
面向日历管理与会议排期的技能。
提供市场趋势、竞品与用户行为分析的市场分析服务。
按数据分析筛电商爆款,覆盖多个平台的品类。
通过 Maton 托管 OAuth 访问 Salesforce CRM 的技能。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。