replacement-rules-builtin-update
Skill432 starsChanged 7 days agoAGPL-3.0View on GitHub
Update the built-in replacement rules (Beta) for a new Salesforce release - find the XML elements a new Metadata API version added or removed, refresh the user permissions list from the PermissionSet describe, add or adjust the built-in rules, and regenerate docs/salesforce-devops-config-replacement-rules-builtin.md. Use when a new Salesforce release (new API version) is out or in preview, when a deployment fails on "invalid at this location" or "Unknown user permission" that a built-in rule should handle, or when the user asks to update the built-in replacement rules or their documentation page.
In this repository26 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- docs/llms.txtllms.txt
- analyzeSkill
- architectureSkill
- backpromoteSkill
- changelogSkill
- designSkill
- documentationSkill
- e2eSkill
- fix-jscpdSkill
- fix-security-issueSkill
- grafana-dashboardsSkill
- guinea-runSkill
- i18n-usageSkill
- implementSkill
- monitoring-agents-mdSkill
- monitoring-notificationsSkill
- promotion-branchesSkill
- pr-watch-fixSkill
- testSkill
- training-feedback-discussionsSkill
- training-impactSkill
- training-publishSkill
- training-updateSkill
- uxlog-usageSkill
- vscode-sfdx-hardisSkill
The file
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 4 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “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.
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
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.

