opal-flow-lld — jenkins-sds opal-flow-lld, opal-frontend, community, jenkins-sds, ide skills

v1.0.0

About this Skill

Ideal for Workflow Management Agents requiring streamlined configuration and setup using flow-lld-template.md Create low-level design (LLD) documents for Opal frontend flows using the Flow LLD template. Use when asked to draft, fill out, or update a flow LLD for Opal.

# Core Topics

hmcts hmcts
[8]
[1]
Updated: 3/2/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
7/11
Quality Score
44
Canonical Locale
en
Detected Body Locale
en

Ideal for Workflow Management Agents requiring streamlined configuration and setup using flow-lld-template.md Create low-level design (LLD) documents for Opal frontend flows using the Flow LLD template. Use when asked to draft, fill out, or update a flow LLD for Opal.

Core Value

Empowers agents to efficiently manage workflows by utilizing the flow-lld-template.md for setup and configuration, streamlining the process with placeholders and references to related LLDs like audit, logging, and observability

Ideal Agent Persona

Ideal for Workflow Management Agents requiring streamlined configuration and setup using flow-lld-template.md

Capabilities Granted for opal-flow-lld

Automating workflow configuration with flow-lld-template.md
Generating customized workflow setups based on input parameters like flow name and repo paths
Streamlining references and links to related LLDs for enhanced workflow management

! Prerequisites & Limits

  • Requires access to the flow-lld-template.md file
  • Needs input parameters like flow name, repo paths, and routes file for effective workflow setup

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is opal-flow-lld?

Ideal for Workflow Management Agents requiring streamlined configuration and setup using flow-lld-template.md Create low-level design (LLD) documents for Opal frontend flows using the Flow LLD template. Use when asked to draft, fill out, or update a flow LLD for Opal.

How do I install opal-flow-lld?

Run the command: npx killer-skills add hmcts/opal-frontend/opal-flow-lld. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for opal-flow-lld?

Key use cases include: Automating workflow configuration with flow-lld-template.md, Generating customized workflow setups based on input parameters like flow name and repo paths, Streamlining references and links to related LLDs for enhanced workflow management.

Which IDEs are compatible with opal-flow-lld?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for opal-flow-lld?

Requires access to the flow-lld-template.md file. Needs input parameters like flow name, repo paths, and routes file for effective workflow setup.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add hmcts/opal-frontend/opal-flow-lld. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use opal-flow-lld immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

opal-flow-lld

Install opal-flow-lld, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Opal Flow LLD

Use the template

  • Use flow-lld-template.md in this folder as the base template.
  • Copy the template into the target LLD file and replace placeholders.
  • Remove sections that are not applicable to the flow.
  • Keep references and links to related LLDs (audit/logging/observability) when relevant.

Gather missing inputs

  • Ask for the flow name, repo path(s), routes file, and any related services.
  • Ask for entry points, key users, and any known dependencies or downstream flows.
  • Ask for API base path(s), endpoints, and validation rules if not provided.

Write the LLD

  • Fill each section with concise, implementation-ready details.
  • Prefer bullets over long paragraphs.
  • Add a version history entry with date and author.
  • Call out open questions or risks in Further Considerations.

Output expectations

  • Return a Markdown LLD ready for review and save it under .codex-docs/ in the project root.
  • Avoid secrets, tokens, or PII in the document.

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