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FDEOps

Forward deployed engineering skills for AI coding agents.

Skills encode the workflows, quality gates, and judgment Forward Deployed Engineers use on someone else's site. Packaged so an AI coding agent can run the embed end-to-end: discovery, POC, slice, on-site proof, eval, signed outcome. The workspace still compiles and commits. @fde does not leave.

FDEops-githubposter

Commands

Each command loads the same @fde skill. You never pick from 31 names.

What you're doing Command Key principle
Land the embed /brief Who signs done
Find the real problem /discover Brief is a hypothesis
Plan the sequence /plan Backwards from done
Ship a slice /ship Live with a rollback
Prove the outcome /outcome Promised, measured, accepted
Close the embed /close They run it without you

Also:

What you're doing Command Key principle
Sponsor went silent /trust Process or trust
Scope dispute /receipts Dated, or a gap
After a meeting /debrief Notes into the record
Walk-in /prep One page from the record
Friday readout /readout Promised, measured, accepted

Skills also activate on English: naming a client, running a POC, slicing a feature, asking what was agreed. A throwaway one-liner in an unbound repo can skip @fde. A client slice cannot.


Quick Start

npx skills add suboss87/fdeops --skill fde

Then one chat. Name the client. The AI coding agent binds.

@fde this is Acme

Paste kickoff notes in the same thread. @fde routes; you confirm judgment. Same folder every time: ~/fde-engagements/<client>/.fde/. Workflow: docs/USAGE.md.

Claude Code (recommended)
/plugin marketplace add suboss87/fdeops
/plugin install fdeops@fdeops

Hooks load where you left off. Slash commands match the map above.

Cursor
npx skills add suboss87/fdeops --skill fde

Or npx fdeops adapters .. See adapters/.

Other agents
npx skills add suboss87/fdeops --skill fde

Gemini, Copilot, Codex, local LLMs: adapters/. Air-gapped: git clone https://github.com/suboss87/fdeops.git && node bin/install.js.

Fallback if the agent cannot bind:

npx fdeops resume --init acme   # ~/fde-engagements/acme + bind this checkout

Requires Node.js >= 18. Override: FDEOPS_ENGAGEMENT. See docs/install.md. Try the loop: npx fdeops demo.


All 31 Skills

The commands above are the entry points. Under the hood, @fde activates these 31 skills, each a structured workflow with steps, an artifact, and a checkpoint. You never pick one by name. Full detail: docs/skills-reference.md.

Land - Brief and trust

Skill What It Does Use When
land Interrogate the brief, map stakeholders, define success New client, first meeting, just got the brief
audit Verify claims, find the load-bearing wall Taking over, previous consultant left
who-decides Who decides, who blocks, who escalates Need to know who matters
earn-trust Observer → trusted; navigate AI policy Need access or credibility
hold-scope Scope receipts; the accumulation conversation "Also can you…", timeline unchanged

Discover - Find the real problem

Skill What It Does Use When
discover Repo + workaround + the real problem Brief feels wrong, shadow processes
test-assumptions Untested assumptions by blast radius Brief feels too neat
score-use-cases Value × urgency × alignment / complexity Everything is P0
poc Kill the killer assumption in a day POC, spike, need to de-risk

Plan - Sequence the work

Skill What It Does Use When
plan Backwards from done, PR-sized What order, what is done
business-case Cost of nothing → investment → return Defend budget or timeline
three-options Three genuine options "What should we do?"
pick-three Pick three from twenty urgents Everything is urgent

Ship - Go live

Skill What It Does Use When
thin-slices Vertical slices, on-site proof Building on their codebase
what-breaks Impact from contained → irreversible Touching shared infrastructure
rescue Production fire or trust fire Down, or they went quiet
ship Intent vs diff, pre-flight, rollback Going live
review Did we only build what we agreed Before merge, scope creep
rollback Test the escape route before 2am "We can always revert"

Prove - Outcome

Skill What It Does Use When
readout Promised → measured → accepted Friday, sponsor update
demo-prep One number, five hard questions Demo or exec walkthrough
debrief Meeting notes into the record Just left a meeting
board-memo Board / sponsor's boss Justify continued investment
dashboard Portfolio, trust-ordered All my customers
ingest Pull text you confirm Transcript, Notion, Slack
connect Wire a source MCP Connect Granola

Close - They run it

Skill What It Does Use When
close Handoff that survives you Wrapping up
runbook Runbook, confidence scoring They must operate without you
switch-clients Switch without bleed 2+ clients
encode-pattern If you did it twice, encode it It will apply again
red-team Stress-test before they do "Poke holes in this"

Overlays (on signal, not on request): ai · artifacts · fintech · healthcare · gov · eval-pack

Optional pull: you add the source MCP; we pull on request. mcp/recipes/


How Skills Work

One skill. One reference file per situation. One folder per client.

  /brief   or   "@fde this is Acme"
           │
           ▼
  skills/fde/SKILL.md          hosts load this one file
           │  routes. you never pick a skill by name
           ▼
  references/land.md           one workflow, then stop
           │
           ▼
  fde CLI (local)              dates, gates, redacts. no network
           │  after you confirm
           ▼
  ~/fde-engagements/<client>/.fde/
  • Process, not prose. Each reference is a workflow with an artifact and a checkpoint, not a tip sheet.
  • Ground loop. Name → characterise → prove where they live → log. The workspace compiles; @fde stays.
  • You confirm. Nothing is written until you say so.
  • Progressive disclosure. SKILL.md is the entry point. One references/*.md loads when routed.
  • Local CLI. Writes and status cost zero model tokens. The AI coding agent runs it.

Change hosts, install @fde on the new one, bind if needed, keep talking. The record is not inside any vendor.


Project Structure

fdeops/
├── skills/fde/                            # the one skill hosts load
│   ├── SKILL.md                           #   router
│   └── references/                        #   31 skills + overlays (you never pick)
│       ├── land.md                        #   Land
│       ├── audit.md
│       ├── who-decides.md
│       ├── earn-trust.md
│       ├── hold-scope.md
│       ├── discover.md                    #   Discover
│       ├── test-assumptions.md
│       ├── score-use-cases.md
│       ├── poc.md
│       ├── plan.md                        #   Plan
│       ├── business-case.md
│       ├── three-options.md
│       ├── pick-three.md
│       ├── thin-slices.md                 #   Ship
│       ├── what-breaks.md
│       ├── rescue.md
│       ├── ship.md
│       ├── review.md
│       ├── rollback.md
│       ├── readout.md                      #   Prove
│       ├── demo-prep.md
│       ├── debrief.md
│       ├── board-memo.md
│       ├── dashboard.md
│       ├── ingest.md
│       ├── connect.md
│       ├── close.md                       #   Close
│       ├── runbook.md
│       ├── switch-clients.md
│       ├── encode-pattern.md
│       ├── red-team.md
│       ├── ai.md                          #   overlays (on signal)
│       ├── artifacts.md
│       ├── eval-pack.md
│       ├── fintech.md
│       ├── healthcare.md
│       └── gov.md
├── .claude/commands/                      # slash commands (each loads @fde)
│   ├── brief.md
│   ├── discover.md
│   ├── plan.md
│   ├── ship.md
│   ├── outcome.md
│   ├── close.md
│   ├── trust.md
│   ├── receipts.md
│   ├── debrief.md
│   ├── prep.md
│   └── readout.md
├── .claude-plugin/                        # Claude Code marketplace
├── bin/                                   # local CLI: git + files, no network
├── hooks/                                 # session-start / session-stop / pre-compact
├── adapters/                              # Cursor, Gemini, Copilot, Codex pointers
├── templates/.fde/                        # memory files created on bind
├── examples/                              # fictional walkthroughs
├── mcp/                                   # optional ingest + source recipes
├── evals/                                 # routing checks
└── docs/                                  # usage, schema, install

Why FDEOps?

AI coding agents are built for a repo, not for a client. They forget the sponsor, the promise, who can say yes, and whether anyone accepted the number. Monday morning they start from the ticket again.

FDEOps is what you take on site. One @fde skill runs the embed from discovery to signed outcome: POC, slice, on-site proof, eval when a model judges, promised → measured → accepted. A local CLI dates every decision. .fde/ is markdown on your laptop. You confirm; then it is on the record.


Engagement memory (.fde/)

One folder per client. Plain markdown. Grep it, copy it, defend it.

File Holds
context.md Where you are
brief.md / success.md What they asked; what “done” is and who signs
reality.md / terrain.md The real problem; the map
stakeholders.md [signal:green|amber|red]
trust-profile.md Sacred data, AI policy, approval chain
decisions.md / risks.md / delivery.md Dated choices; live risks; what shipped and how it rolls back

Schema: docs/schema.md. Local HTML: npx fdeops dashboard.


Who this is for

You embed with a customer and an AI coding agent. Take this on the ground. Discovery through signed outcome lives in @fde. One .fde/ per client so they do not blur.

If you only write code in your own repo with no client record to defend, you do not need this kit.


Your data stays yours

Local only - git + files, no network, no telemetry. Plain markdown. The model sees client code only when you point the AI coding agent at it. <private> is redacted from CLI, dashboard, and hooks. Nothing is written until you confirm. ~/fde-engagements is in $HOME; iCloud/Dropbox is an NDA incident waiting.

PRIVACY.md · SECURITY.md


Principles

  • The artifact is the memory - producing the work and recording it are one action
  • Ground loop - name the slice, characterise their code, prove it where they live, log the outcome
  • Skills, not autonomy - the kit says what to check; judgment stays yours
  • Brief is a hypothesis - discover before building the wrong thing
  • Evidence on every claim - these files get defended in the room
  • One customer, one folder - context never bleeds

Contributing

Subash Natarajan. Issues · Discussions · CONTRIBUTING.md · Code of Conduct

Skills should be specific (actionable steps), verifiable (an artifact in .fde/), and minimal. The fde CLI stays local-only.

License

MIT - use these skills on client work.

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Forward deployed engineering skills for AI coding agents.

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