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Found 10,551 Skills
Create and manage AI agent sessions with multiple backends (SDK, Claude CLI, Codex, Cursor). Also supports multi-agent workflows with shared context, @mention coordination, and collaborative voting. Use for "start agent session", "create worker", "run agent", "multi-agent workflow", "agent collaboration", "test with tools", or when orchestrating AI conversations programmatically.
Open-source workflow automation platform with visual node-based editor, 400+ integrations, webhooks, and self-hosted deployment capabilities
Git-centric implementation workflow. Enforces clean checkout, creates a properly named branch, tracks progress in a WIP markdown file, and commits/pushes continuously so remote git logs serve as the primary monitoring channel. Use when starting any plan-based implementation task.
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development.
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists
Comprehensive toolkit for validating, linting, and testing GitHub Actions workflow files, custom local actions, and public actions. Use this skill when working with GitHub Actions YAML files (.github/workflows/*.yml), validating workflow syntax, testing workflow execution with act, or debugging workflow issues.
Provides comprehensive guidance for GitLab CI/CD including pipeline configuration, jobs, stages, and GitLab Runner. Use when the user asks about GitLab CI, needs to create CI/CD pipelines, configure GitLab CI jobs, or automate GitLab workflows.
Terraform infrastructure-as-code workflow patterns: state and environments, module design, safe plan/apply, drift control, and CI guardrails
[Tooling & Meta] Restore workflow context from checkpoint after session loss
pytest-django testing patterns, Factory Boy, fixtures, and TDD workflow. Use when writing tests, creating test factories, or following TDD red-green-refactor cycle.
PR stacking workflow for breaking large features into smaller, dependent PRs. Use when planning multi-step features, creating dependent branches, or rebasing stacked changes.
Analyze network traffic captures and artifacts for forensic investigation. Use when investigating data exfiltration, command and control communications, lateral movement, or network-based attacks. Supports PCAP, PCAPNG, and NetFlow analysis.