FDEOps
Skills for forward deployed engineers, used through your AI coding agent.
FDEOps helps you turn a customer problem into a working system: clarify the goal, choose an architecture, build and integrate, then verify the result and prepare for rollout.
Use a task skill on its own, or let fde coordinate work across strategy, architecture and engineering. Customer memory keeps decisions, evidence and next steps available between sessions.
I built FDEOps around design thinking, first-principles thinking and systems thinking: understand the people doing the work, question assumptions, and examine how a change affects the whole system. I turned that approach into skills that help your AI coding agent investigate, build and verify, with customer memory to carry the work forward.
Get started · What it helps with · Choose a skill · Data boundaries · Docs
Quick start
Let fde coordinate a customer project
Install in the terminal where your AI coding agent runs, then select your agent:
npx skills add suboss87/fdeops --skill fde
Select fde in your agent, or use @fde where supported:
@fde this is client01. Their support team reads incoming requests,
checks internal documents, then assigns each request to another team.
Help me prepare for the first meeting. Here is the brief: ...
The coordinator selects the relevant method as the work changes. Customer context guides the plan, code changes and verification; the record carries it between sessions. You do not need to learn CLI commands.
Use one skill for one task
npx skills add suboss87/fdeops --skill build
Then ask your agent:
Use FDEOps build to add a manual-review fallback to this routing service.
Here are the agreed behavior, repository and checks: ...
Each task skill includes the instructions it needs. Use build with supplied project context without creating a customer record or installing the coordinator.
Installation requirements and alternatives
These installation commands use Node.js and Git; the optional record CLI requires Node.js 18+. See installation and upgrades for host-specific invocation, the full pack and alternatives. Installing fde includes all underlying instructions, but does not add the 35 separate task names to your agent's menu.
See it in action: npx fdeops demo turns fictional meeting notes into a review and a fieldbook, a browser view of the customer record. No AI model is called. The demo uses Node.js 18+ and Git; npx may download the package. It creates or resets its separate .demo workspace. Five-minute walkthrough.
Three things it helps with
1. Strategy: decide what is worth building
Turn the customer’s request into a problem to investigate, a measure of success and a bounded scope. Identify who decides and what evidence would change the plan.
Use discover, who-decides and scope.
2. Architecture: choose an approach that fits
Inspect the existing system, compare options against customer constraints and plan a small slice that tests the design. Make dependencies, tradeoffs and failure paths explicit.
Use options, plan and integrate.
3. Engineering: build, verify and hand over
Implement the change, debug failures and test the agreed behavior. Report what passed on which revision and environment, what remains unproven and what the operating team needs before rollout.
Use build, debug, review, ship and handoff. A passing local test does not establish deployment or customer acceptance. Verification and its limits.
For ongoing work, a local Markdown record at ~/fde-engagements/<customer>/.fde/ carries decisions, evidence and next steps between sessions. The coordinator retrieves relevant context and prepares consequential updates for your review. Use debrief after meetings and switch-clients when changing customers. How records work.
Choose a skill
35 task skills + one coordinator, fde. Each task skill works on its own; the coordinator includes all underlying methods.
| Work in front of you | Start with |
|---|---|
| An unclear customer request | brief, discover |
| Unclear ownership or access | who-decides, earn-trust |
| A decision about scope or approach | scope, options, plan |
| An implementation or system connection | build, integrate |
| A failure or a result to verify | debug, review, qa, evaluate |
| A release or operating handover | ship, runbook, handoff |
| Meeting notes or a customer update | debrief, readout |
Start with the task you need, or let fde select it. dashboard works with saved records; debrief can review supplied notes and return a draft. Each skill explains the context it needs. Full skill catalog.
View your customer records in the fieldbook
The fieldbook is a read-only browser view of next actions, risks, evidence gaps and results awaiting acceptance.
Fieldbook showing fictional customer records
npx fdeops dashboard --all --open
Copy an action into your agent to continue. Regenerate the view after record updates. Daily use.
Note
Use FDEOps with the setup that fits your work. Try individual skills with sample data, or use a customer-approved local model or LLM provider for customer projects, including regulated and production work.
Customer records stay in local files. The FDEOps CLI makes no network calls; your AI coding agent’s settings determine what it sends to a model provider. Use data approved for that setup.
Who this is for
Forward deployed engineers, consultants and delivery teams working across customer meetings, codebases and operating environments. Bring your existing tools, access and customer agreements. Start with one task or use fde throughout the engagement.
Go deeper
Install or upgrade · Daily use · Worked examples · Skill catalog · Source connections · Repository layout · Verification · Contribute
Built and maintained by Subash Natarajan. Issues · Discussions.
License
MIT. Use FDEOps in your customer work.