swamp-getting-started

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Interactive getting-started walkthrough for new swamp users. Guides through understanding the user's goals, creating and running a first model, inspecting output, and choosing next steps. Uses a state-machine checklist with verification at each step. Triggers on "getting started", "get started", "new to swamp", "first time", "tutorial", "walkthrough", "onboarding", "how do I start", "what do I do first", "quickstart", "quick start", "hello world", "first model", "just installed swamp", "show me how swamp works", "intro to swamp", "new user", "set up swamp", "learn swamp".

systeminit By systeminit schedule Updated 5/22/2026

name: swamp-getting-started description: > Interactive getting-started walkthrough for new swamp users. Guides through understanding the user's goals, creating and running a first model, inspecting output, and choosing next steps. Uses a state-machine checklist with verification at each step. Triggers on "getting started", "get started", "new to swamp", "first time", "tutorial", "walkthrough", "onboarding", "how do I start", "what do I do first", "quickstart", "quick start", "hello world", "first model", "just installed swamp", "show me how swamp works", "intro to swamp", "new user", "set up swamp", "learn swamp".

Getting Started with Swamp

A state machine. Each state gates the next — do not advance until the current state's Verify passes. If Verify fails, run On Failure and re-verify. If unsure a subcommand or flag exists, run swamp <command> --help rather than guessing.

start → goals_understood → model_created → method_run
      → output_inspected → graduated

Before Starting

Run swamp model search --json. If it returns models, the user is past onboarding — say so and stop:

You already have models set up. You're past the getting-started stage — just tell me what you'd like to work on and I'll use the right skill.

If the command fails, surface the error and suggest swamp repo init (use the swamp skill for guidance), then return here. If no models exist, present the 5-step checklist (Goals → Create → Run → Inspect → Graduate) and begin State 1.

State 1: goals_understood

Gate: None (first state).

Action: Ask what they want to automate, in their own words (not by implementation type). Tell them they can skip if they already know swamp.

Early exit: If they describe a task with swamp terminology (e.g., "create a model for X", "set up a workflow"), skip ahead and delegate directly to the swamp skill — its routing table will load the right guide.

Verify: The user described a goal. Then find a model type:

  1. swamp extension search <keywords> --json — prefer @swamp/* official extensions first
  2. If an extension matches: swamp extension pull <package>
  3. swamp model type search <keywords> --json — check local/installed types
  4. Extend an existing type if it covers the domain but lacks the method you need
  5. If nothing exists, offer a custom extension via the swamp skill (extension guide). Use command/shell only for genuine one-off ad-hoc commands.

Store the goal — use it to name the model and tailor later examples.

On Failure: If the user is unsure, default to a command/shell model — no credentials needed, demonstrates the full lifecycle.

State 2: model_created

Gate: State 1 passed.

Action: Follow the resolution flow in references/tracks.md. Pick a name from the goal (e.g., "check disk space" → check-disk-space). Pattern:

  1. Find or install the model type
  2. swamp model create <type> <name> --json
  3. Edit the YAML to match the goal

Verify: swamp model validate <name> --json passes with no errors. Show warnings to the user.

On Failure: See "On Failure Recovery → State 2" in references/tracks.md.

State 3: method_run

Gate: State 2 passed.

Action: Tell the user what's about to happen, then run swamp model method run <name> <method>. Pick <method>:

  • command/shell: execute
  • Local typed: a read-only method first (sync, get)
  • Extension: check swamp model type describe <type> --compact --json

Verify: The run completes with succeeded.

On Failure: See "On Failure Recovery → State 3" in references/tracks.md. Re-run and re-verify.

State 4: output_inspected

Gate: State 3 passed.

Action: swamp model output get <name> --json.

Verify: Output data is returned. Present to the user, highlighting status, captured artifacts, datastore path, and the CEL reference path for wiring into other models — see references/tracks.md for the CEL pattern.

On Failure: See "On Failure Recovery → State 4" in references/tracks.md.

State 5: graduated

Gate: State 4 passed.

Action: Summarize what they built. Suggest 2-3 concrete next steps tied to their goal (e.g., "store your AWS credentials in a vault" — not "use the vault skill"). Ask which they want, then delegate with full context. See the Delegation Map in references/tracks.md.

References

references/tracks.md — model type resolution, credential setup, method selection, CEL patterns, On Failure recovery per state, delegation map.

Install via CLI
npx skills add https://github.com/systeminit/swamp --skill swamp-getting-started
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