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Tilt

Organization
aiskillstore
tilt

Use when checking deployment health, investigating errors, reading logs, or working with Tiltfiles. Queries Tilt resource status, logs, and manages dev environments.

Overview

Publisheraiskillstore
Repositorymarketplace
Skill nametilt
Stars
427
Forks
45
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aiskillstore on GitHub. Read the source before you install it.

Installation

Install the Tilt AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aiskillstore/marketplace.git /tmp/marketplace
mkdir -p .claude/skills
cp -r /tmp/marketplace/skills/0xbigboss/tilt .claude/skills/tilt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tilt in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tilt on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tilt is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Tilt

First Action: Check for Errors

Before investigating issues or verifying deployments, check resource health. Run errors first, separately from pending/in-progress — otherwise real failures get buried in 20+ pending lines:

bash
# 1. Errors only — surface the buildHistory[0].error so you see WHY, not just THAT
tilt get uiresources -o json | jq -r '.items[] | select(.status.runtimeStatus == "error" or .status.updateStatus == "error") | "\(.metadata.name): runtime=\(.status.runtimeStatus) update=\(.status.updateStatus)\n  reason: \((.status.buildHistory[0].error // "(no buildHistory error; check tilt logs)") | gsub("\n"; " ") | .[0:240])"'

# 2. In-progress and pending — informational; an in-progress build may flip to error any moment
tilt get uiresources -o json | jq -r '.items[] | select(.status.updateStatus == "in_progress" or .status.updateStatus == "pending" or .status.runtimeStatus == "pending") | "\(.metadata.name): runtime=\(.status.runtimeStatus) update=\(.status.updateStatus)"'

# 3. Docker-compose container health — MISSED by the error filter above.
#    An `Up (unhealthy)` compose container keeps runtimeStatus=ok/update=ok, so
#    queries 1-2 never flag it; the red UI badge comes from healthStatus here.
tilt get uiresources -o json | jq -r '.items[] | select(.status.composeResourceInfo.healthStatus == "unhealthy") | "\(.metadata.name): compose healthStatus=unhealthy (HEALTHCHECK failing — service may still be up)"'

# 4. Quick status overview
tilt get uiresources -o json | jq '[.items[].status.updateStatus] | group_by(.) | map({status: .[0], count: length})'

If a resource is in_progress when you check, re-poll before declaring it healthy — it can transition straight to error with a populated buildHistory[0].error. The updateStatus field reflects only the current build attempt; the last error always lives in buildHistory[0].error even when updateStatus is none or not_applicable.

Docker-compose resources are a blind spot. Their runtimeStatus/updateStatus reflect only build/up state, NOT the container's docker HEALTHCHECK — so a probe-failing container (docker psUp (unhealthy)) reads runtimeStatus=ok and slips past queries 1-2, while the Tilt UI still reddens it. The authoritative signal is .status.composeResourceInfo.healthStatus (healthy / unhealthy / absent when the service has no healthcheck), which query 3 catches. These resources also have k8sResourceInfo: null (spec.type == "docker-compose"); to find why a probe fails, drop to docker: docker inspect <compose-project>-<svc> --format '{{json .State.Health}}' reads the probe's last exit code + output. A common cause is the healthcheck script invoking a CLI the image doesn't ship (e.g. curl/grpcurl removed in slimmed images) — the service is fine, the probe is broken.

Non-Default Ports

When Tilt runs on a non-default port, add --port:

bash
tilt get uiresources --port 37035
tilt logs <resource> --port 37035

Resource Status

bash
# All resources with status
tilt get uiresources -o json | jq '.items[] | {name: .metadata.name, runtime: .status.runtimeStatus, update: .status.updateStatus}'

# Single resource detail
tilt get uiresource/<name> -o json

# Wait for ready
tilt wait --for=condition=Ready uiresource/<name> --timeout=120s

Status values:

  • RuntimeStatus: ok, error, pending, none, not_applicable
  • UpdateStatus: ok, error, pending, in_progress, none, not_applicable

Logs

bash
tilt logs <resource>
tilt logs <resource> --since 5m
tilt logs <resource> --tail 100
tilt logs --json                    # JSON Lines output

Trigger and Lifecycle

bash
tilt trigger <resource>             # Force update
tilt up                             # Start
tilt down                           # Stop and clean up

Running tilt up

Follow zmx skill patterns — check for existing sessions, derive name from git root, use zmx run (not attach):

bash
PROJECT=$(basename "$(git rev-parse --show-toplevel 2>/dev/null)" || basename "$PWD")
SESSION="${PROJECT}-tilt"

if zmx list --short 2>/dev/null | grep -q "^${SESSION}$"; then
  echo "Tilt session already exists: $SESSION"
else
  zmx run "$SESSION" 'tilt up'
  echo "Started tilt in zmx session: $SESSION"
fi

Critical: Never Restart for Code Changes

Tilt live-reloads automatically. Never suggest restarting tilt up for:

  • Tiltfile edits
  • Source code changes
  • Kubernetes manifest updates

Restart only for: Tilt version upgrades, port/host changes, crashes, cluster context switches.

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tilt AI skill do?

Use when checking deployment health, investigating errors, reading logs, or working with Tiltfiles. Queries Tilt resource status, logs, and manages dev environments.

Why use Tilt on TypingMind?

Because you install it once and use it with any model. Tilt is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tilt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aiskillstore/marketplace/tree/main/skills/0xbigboss/tilt. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tilt?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tilt?

As many as you like. As long as a model supports skills, you can use Tilt with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tilt AI skill free?

It is published on GitHub by aiskillstore. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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