workflow▌
90 indexed skills · max 10 per page
git-workflow-strategy
aj-geddes/useful-ai-prompts · Productivity
Establish efficient Git workflows that support team collaboration, code quality, and deployment readiness through structured branching strategies and merge patterns.
research-workflow
jwynia/agent-skills · Productivity
A structured methodology for conducting comprehensive research. This skill guides you through planning, executing, analyzing, and synthesizing research on any topic.
workflow-automation
supercent-io/skills-template · Productivity
Automate development tasks with npm scripts, Makefiles, Git hooks, and shell scripts. \n \n Covers npm scripts, Makefiles, Husky Git hooks, and custom shell scripts for setup, deployment, and CI/CD workflows \n Includes pre-commit automation, linting, testing, and type-checking integrated into development pipelines \n Provides GitHub Actions workflow templates for continuous integration across push and pull request events \n Emphasizes idempotency, error handling, and security constraints like a
agentic-workflow
supercent-io/skills-template · Productivity
Optimized patterns for AI agent workflows, Git integration, MCP servers, and multi-agent orchestration. \n \n Covers essential commands across Claude, Gemini, and Codex CLIs, plus keyboard shortcuts for task cancellation, history search, and plan mode toggling \n Includes session management techniques (resume, rename, aliases) and Git workflows for auto-generating commits, PRs, and managing parallel branches with worktrees \n Provides MCP server configuration guidance (Playwright, Supabase, Fire
sentry-workflow
getsentry/sentry-for-ai · Productivity
sentry-workflow
ml-pipeline-workflow
wshobson/agents · AI/ML
End-to-end MLOps pipeline orchestration from data ingestion through model deployment and monitoring. \n \n Covers five core pipeline stages: data preparation, model training, validation, deployment, and monitoring with DAG orchestration patterns (Airflow, Dagster, Kubeflow) \n Includes data validation, feature engineering, experiment tracking integration, and model versioning strategies across the full ML lifecycle \n Provides deployment automation patterns including canary releases, blue-green
gitops-workflow
wshobson/agents · Productivity
Declarative, Git-based continuous delivery for Kubernetes using ArgoCD or Flux CD. \n \n Supports both ArgoCD and Flux CD with installation, configuration, and repository structure guidance for each \n Covers core GitOps patterns including App of Apps, automated sync policies with pruning and self-healing, and progressive delivery strategies (canary, blue-green) \n Includes secret management approaches using External Secrets Operator and Sealed Secrets to keep credentials out of Git \n Provides
remove-old-skills-from-workflow
nicepkg/ai-workflow · Productivity
Guide for removing skills from an existing workflow and updating all related documentation.
lark-workflow-standup-report
larksuite/cli · Productivity
CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md,其中包含认证、权限处理
lark-workflow-meeting-summary
larksuite/cli · Productivity
CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md,其中包含认证、权限处理。然后阅读 ../lark-vc/SKILL.md,了解会议纪要相关操作。