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workflow-orchestration-patterns

Open source alternatives to workflow-orchestration-patterns

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

    Launch

    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

    Open source

  2. O

    opensource-pipeline

    Launch

    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

    Open source

  3. A

    andrej-karpathy-skills

    Launch

    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

    Open source

  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

    Open source

  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

    Open source

  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About workflow-orchestration-patterns

W

workflow-orchestration-patterns

Design durable workflows with Temporal for distributed systems

workflow-orchestration-patterns is an agent skill from the wshobson/agents collection for designing durable workflows with Temporal in distributed systems. Temporal keeps a workflow's state persistent, so a process that spans machines, services and databases can resume from its last successful step after a failure rather than starting over. The skill covers the architecture decisions behind that: separating workflows, which hold the logic and must be deterministic, from activities, which do the side-effecting work such as calling an API. It also covers saga patterns for all-or-nothing outcomes, state management, determinism, and resilience patterns. It lists the situations where Temporal fits well, including multi-step processes across systems, distributed transactions that need all-or-nothing semantics, long-running workflows lasting hours to years, failure recovery from the last step, business processes such as bookings and orders, lifecycle management of entities, infrastructure automation such as CI/CD and provisioning, and human-in-the-loop flows with timeouts and escalations. It also lists when not to use it, which is the other half of the design decision. The skill applies when deciding whether and how to design a durable workflow. It is a guide to architecture, and the team should weigh the operational cost of running Temporal against the problem before adopting it. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 11.8K installs and passing results from three security audits at the time of the scan.

Price
Free
Made by
wshobson
Category
AI Skills
Website
github.com/wshobson/agents/workflow-orchestration-patterns