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Fdeops

Fdeops is a JavaScript collection of forward-deployed engineering skills for AI coding agents, with 35 task skills and an `fde` coordinator for selecting methods across customer projects.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Fdeops — OpenViST project profile in Coding Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use an individual skill for a clear, bounded task; use the `fde` coordinator when requirements are uncertain, teams depend on one another, or customer work needs coordination across strategy, architecture and engineering.

Who it is for

  • Forward-deployed engineers using AI coding agents on customer projects.
  • Engineers who need structured guidance for a bounded implementation, investigation or handover task.

Documented uses

  • Turn a customer request into an investigated problem, success measure and bounded scope.
  • Compare architecture options against customer constraints and plan a small testable slice.
  • Build or integrate a change, debug failures, review agreed behavior and prepare an operating handover.
  • Carry decisions, evidence and next steps between sessions using the coordinator's customer record.
Before you choose

Requirements & limits

The project is public on GitHub under the MIT license. Its documented installation commands use Node.js and Git; the optional record CLI requires Node.js 18 or later.

  • The 35 individual task skills can be used independently; the coordinator includes their underlying methods but does not add all task names to the agent menu.
  • The coordinator uses a local Markdown customer record for decisions, evidence and next steps; the standalone build skill can work from supplied project context without a record.
  • The project distinguishes local verification from deployment or customer acceptance and recommends reusing customer tools and approvals.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install the FDE coordinator for an AI coding agent

Add the FDE coordinator skill to the agent workflow so it can select relevant methods as customer work changes.

Before you start

  • An AI coding agent and its terminal
  • Node.js and Git
  • An agent environment that can select the installed skill

Steps

  1. Run the command below in the terminal where the agent runs.

    Documented command
    npx skills add suboss87/fdeops --skill fde

  2. Select fde in the agent, or invoke it as @fde where supported.

  3. Provide the customer context and task brief for the coordinator to guide the work.

Expected outcome

The FDE coordinator and its underlying instructions are available to guide customer-project work.

Guide limitations

  • Installing fde does not add the 35 separate task names to the agent's menu.
  • The optional record CLI requires Node.js 18 or later.
Documentation 1 ↗
Source-based practical guide

Add the build skill for a bounded implementation task

Make the FDEOps build instructions available for one implementation task using supplied project context.

Before you start

  • An AI coding agent and its terminal
  • Node.js and Git
  • Agreed behavior, a repository and checks to provide as task context

Steps

  1. Run the command below in the terminal where the agent runs.

    Documented command
    npx skills add suboss87/fdeops --skill build

  2. Ask the agent to use FDEOps build and provide the agreed behavior, repository and checks.

Expected outcome

The agent receives the build skill instructions and the supplied context for the implementation task.

Guide limitations

  • This route does not require a customer record or installation of the coordinator.
  • The skill instructions do not establish deployment or customer acceptance.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for AI coding assistance

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
FdeopsTurn a customer request into an investigated problem, success measure and bounded scope.CLIThe project is public on GitHub under the MIT license. Its documented installation commands use Node.js and Git; the optional record CLI requires Node.js 18 or later.
SpectraClarify requirements and compare approaches before proposing a change.CLI, DesktopThe README lists a macOS and Windows desktop app, and a Homebrew installation for macOS. The CLI is published through npm and requires Node.js 22.14 or newer.
Skills — michaelshimelesInstall reusable task-specific skills into a coding-agent setup.CLIThe repository README provides an npx installation command for most coding agents and describes automatic or explicit skill invocation in Claude Code.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
suboss87/FDEOps · Official homepage title · retained in its source language
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