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Found 2,475 Skills
Activate a Cognitive Digital Twin. Can simulate a custom subject (via core/ directory) OR load pre-installed celebrity/expert personas (from personas/ directory).
Comprehensive review of staged Git changes for risk assessment, error detection, and impact analysis. Use when the user wants to review staged changes, check for errors before commit, analyze risks in git staged files, validate code changes before committing, or needs suggestions on staged modifications.
Use when interacting with GitLab from the command line — creating and managing merge requests, issues, CI/CD pipelines, releases, repositories, and any other GitLab operation. Covers all glab CLI commands including mr, issue, ci, release, repo, api, variable, snippet, schedule, stack, label, milestone, incident, and auth.
Automate container image updates for Kubernetes workloads managed by Argo CD. USE WHEN configuring ArgoCD Image Updater, setting up automatic image updates, configuring update strategies (semver, digest, newest-build, alphabetical), implementing git write-back, troubleshooting image update issues, or working with ImageUpdater CRDs. Covers installation, configuration, authentication, and best practices.
Standardized git commits following Conventional Commits. Supports mapping to GitHub and GitLab.
Narrative templates for git history documentation. Used by /git:code-story command.
Generate and create pull request descriptions automatically using GitHub CLI. Use when the user asks to create a PR, generate a PR description, make a pull request, or submit changes for review. Analyzes git diff and commit history to create comprehensive, meaningful PR descriptions that explain what changed, why it matters, and how to test it.
Full changelog infrastructure from scratch. Greenfield workflow. Installs semantic-release, commitlint, GitHub Actions, LLM synthesis, public page.
Run /check-docs, then create GitHub issues for all findings. Issues are created with priority labels and structured format. Use /fix-docs instead if you want to fix issues immediately.
Check production health: Sentry errors, Vercel logs, health endpoints, GitHub CI/CD. Outputs structured findings. Use log-production-issues to create issues. Invoke for: production diagnostics, error audit, health status, CI failures.
Interactive backlog grooming. Explore, brainstorm, discuss, then synthesize. Orchestrates agents and issue-creator skills. Creates prioritized GitHub issues. Enforces Misty Step org-wide standards.
Run /check-stripe, then create GitHub issues for all findings. Issues are created with priority labels and structured format. Use /fix-stripe instead if you want to fix issues immediately.