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Research GitHub, GitLab, and Bitbucket repositories using DeepWiki MCP server. Use when exploring unfamiliar codebases, understanding project architecture, or asking questions about how a specific open-source project works. Provides AI-powered repo analysis and RAG-based Q&A about source code. NOT for fetching library API docs (use fetching-library-docs instead) or local files.
Create or update comprehensive GitHub issues that capture ALL context, requirements, and implementation details. Use when creating or updating tickets, issues, feature requests, or bug reports. Ensures no context is lost between ticket creation and implementation - the moment you ask for a ticket, there's maximum context available that will be lost if not captured now.
This skill should be used when parallelizing multi-issue sprints using git worktrees and parallel Claude agents. Use when tackling multiple GitHub issues simultaneously, when the user mentions "blitz", "parallel sprint", "worktree workflow", or when handling 3+ independent issues that could be worked on concurrently. Orchestrates the full workflow from issue triage through parallel agent delegation to sequential merge.
Git worktree workflow, conventional commits, commit trailers, and PR guidelines. Activated during git operations and commits.
Create an issue in GitHub or Jira. Automatically detects if GitHub issues are enabled; if so creates a GitHub issue, otherwise creates a Jira issue.
GitHub issue triage and management expertise. Auto-invokes when issue triage, duplicate detection, issue relationships, or issue management are mentioned. Integrates with existing github-issues skill.
Use this skill when the user expresses ANY intent related to issue/thread management: - Switching issues: "let's work on X", "switch to #Y", "go to the auth issue" - Checking status: "what are we working on?", "current issue?", "status?" - Background work: "what's in background?", "any features ready?", "check progress" - Starting development: "implement X", "add feature", "fix bug Y", "build a..." - Joining reviews: "let me see the review", "check that feature", "join #X" - Pausing/resuming: "pause this", "come back later", "resume #X" - Stopping transcription: "stop tracking", "don't record this", "private mode" - Resuming last session: "what were we working on?", "resume last issue", "continue where we left off" - Any natural expression of wanting to change focus or check work status This skill interprets natural language - users should NOT memorize commands. For the full GHE workflow protocol, see skill: github-elements-tracking
Triage FiftyOne GitHub issues by validating status, categorizing resolution, and generating standardized responses. Use when reviewing issues to determine if fixed, won't fix, not reproducible, no longer relevant, or still valid.
Agente especializado em criação massiva de conteúdo SEO seguindo a metodologia James/Diesel Dudes. Use para criar 50+ páginas otimizadas rapidamente, gerar artigos em batch, traduzir para múltiplos idiomas, e rankear no Google em 30 dias. Ideal para sites de serviços locais, profissionais liberais, médicos, advogados, e qualquer negócio que precise dominar SEO local. Triggers: criar páginas SEO, gerar conteúdo em massa, rankear no Google, SEO local, criar artigos batch.
Spawns multiple AI coding agents to work on related GitHub issues concurrently using git worktrees. Use when breaking down a large feature into multiple issues, running parallel agents with --print flag, or managing wave-based execution of related tasks.
Generic Cloud-Native Deployment and Infrastructure as Code patterns for 2025. Provides comprehensive implementation strategies for multi-cloud deployments, GitOps workflows, progressive delivery, and platform engineering. Framework-agnostic approach supporting any cloud provider, deployment tool, and orchestration platform.
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration. Coordinates repo-architect, code-analyzer, and coordinator agents across multiple repositories to maintain consistency, propagate changes, manage dependencies, and ensure architectural alignment. Handles monorepo-to-multi-repo migrations, cross-repo refactoring, and synchronized releases. Use when managing microservices, multi-package ecosystems, or coordinating changes across related repositories.
Automatically share skills, migrate local skills to code repositories, open source skills, skill version management, configure git remote
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management. Coordinates release-manager, cicd-engineer, tester, and docs-writer agents through hierarchical topology to handle semantic versioning, changelog generation, release notes, deployment validation, and post-release monitoring. Supports multiple release strategies (rolling, blue-green, canary) and automated rollback. Use when creating releases, managing deployments, or coordinating version updates.
Browser automation skill for Lovable deployments. Activates when: - yolo_mode: on in CLAUDE.md - Running /deploy-edge or /apply-migration commands - After git push when auto_deploy: on (automatic detection) - Any mention of "yolo mode", "automate Lovable", "browser automation" Automatically navigates to Lovable.dev and submits deployment prompts. Runs verification tests based on configuration. Auto-deploys after git push when enabled.
