Open-source Salesforce knowledge layer for AI coding assistants. 982+ source-grounded skills, 75 agents, 38-tool MCP...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Cursor AI
Model
Claude
Fastest way to find out if AwesomeSalesforceSkills belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add awesomesalesforceskills -- npx awesomesalesforceskillsRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove awesomesalesforceskillsNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ awesomesalesforceskills ← registers here
Open-source Salesforce knowledge layer for AI coding assistants. 982+ source-grounded skills, 75 agents, 38-tool MCP server with live-org metadata. pip install sfskills-mcp.