Slash Commands
The Complete SFSpeckit Command Directory.
/sfspeckit-constitution
Establish project principles with evidence-based org discovery. Scans metadata maturity and environmental constraints.
/sfspeckit-specify
Create functional feature specifications. Translates business needs into structured instructions for the AI.
/sfspeckit-clarify
Identify manual org changes and multi-team conflicts (Drift Detection) before finalizing the plan.
/sfspeckit-plan
Generate technical blueprints, class structures, and deployment order based on the Spec.
/sfspeckit-stories
Break the plan into self-contained, Jira-ready developer stories with effort estimation.
/sfspeckit-implement
The "Auto-Heal" engine. Automatically builds story logic, fixes linting errors, and resolves test failures.
/sfspeckit-verify
Generate "Verification Evidence" (Coverage, Security, Performance) required for PR approval.
/sfspeckit-pr
Automated PR preparation using GitHub CLI. Includes technical summaries and test evidence.
/sfspeckit-qa
Multi-persona UI validation. Ensures features work for all user roles defined in the Spec.
/sfspeckit-uat
Business UAT scripts and human sign-offs. Final business verification before release.
/sfspeckit-regression
Full feature regression before release. Ensures no breaking changes in existing features.
/sfspeckit-score
Real-time project health dashboard. Aggregates coverage, quality, and progress scores.
/sfspeckit-deploy
Evidence-based promotion across multi-org landscapes (Dev -> QA -> UAT -> Prod).
/sfspeckit-change
Impact analysis for mid-sprint requirements changes. Recalculates effort and risks.
/sfspeckit-hotfix
Emergency production patch workflow. Critical bug fix bypass loop.
/sfspeckit-release-notes
Automatically aggregate feature stories and test results into a business-ready release note.
/sfspeckit-upgrade
Synchronize local environment with the master community library and pull in new AI skills.