openloomi-tour
Walk a brand-new OpenLoomi user through the entire pipeline in one guided session: setup health → pet reaction → connector onboarding → run a Loop tick →…
Skill by melandlabs
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/melandlabs-openloomi-tour
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: design, data
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/openloomi-tour
Tools it pre-approves 13
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash(node${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs*),${CLAUDE_PLUGIN_ROOT}/skills/openloomi-connectors/scripts/openloomi-connectors.cjs${CLAUDE_PLUGIN_ROOT}/skills/openloomi-memory/scripts/openloomi-memory.cjsBash(composioBash(curlBash(jqBash(cat~/.openloomi/tokenBash(base64-d
Show 1 more
*)
What's inside
- Skill name
openloomi-tour- Description
- Walk a brand-new OpenLoomi user through the entire pipeline in one guided session: setup health → pet reaction → connector onboarding → run a Loop tick → inspect & approve a decision card → seed Memory → optionally register a custom Loop channel / classifier rule / decision type. Triggers: openloomi tour, guided tour, walk me through openloomi, show me everything, end-to-end demo, 带我看一下, 体验一下, 一条龙, 一键体验, first time using openloomi, what's next after setup.
- License
- Apache-2.0
- Allowed tools
- Bash(node, ${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs, *),, Bash(node, ${CLAUDE_PLUGIN_ROOT}/skills/openloomi-connectors/scripts/openloomi-connectors.cjs, *),, Bash(node, ${CLAUDE_PLUGIN_ROOT}/skills/openloomi-memory/scripts/openloomi-memory.cjs, *),, Bash(composio, *),, Bash(curl, *),, Bash(jq, *),, Bash(cat, ~/.openloomi/token, *),, Bash(base64, -d, *)
- Instructions
- 516 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
- Instructions call the network
Agent Skills spec issues
- body: 516 lines (spec recommends under 500)
Files (1)
- SKILL.md
SKILL.md (first lines)
# OpenLoomi Tour — Hands-on Walkthrough
This skill is the **canonical first-run experience** for Claude Code
users. After `/openloomi:setup` finishes and prints its post-ready
walkthrough, the user can type **`/openloomi:tour`** (or any of the
trigger phrases) and you'll run the same pipeline live, stopping
between phases so the user can react.
The tour is **interactive, idempotent, and skippable**. Each phase
checks its own prerequisite and lets the user move on with `next` /
`skip` / `back`. Nothing is destructive — if the user already did a
phase, you re-confirm it and move on.
---
## Reference docs
Quick links to the OpenLoomi docs that this tour draws from. Every
phase below cites the relevant entries inline.
| Topic | Doc |
| --- | --- |
| Getting started / install / one-time setup | <https://openloomi.ai/docs/getting-started> |
| What OpenLoomi is (the pipeline in one page) | <https://openloomi.ai/docs/what-is-openloomi> |
| Glossary — every term used here (Connector / Signal / Loop channel / Action Runner / etc.) | <https://openloomi.ai/docs/glossary> |
| Loop engine — ticks, Decisions, cards, channels, classifier rules | <https://openloomi.ai/docs/loop> |
| Loop — Approve / Edit Draft / dry-run anatomy of a Card | <https://openloomi.ai/docs/loop#approvals-and-dry-run> |
| Memory — people / projects / notes / insights / Screen Capture | <https://openloomi.ai/docs/memory> |
| Knowledge Base / Library — uploaded documents (PDF, DOCX, MD, …) | <https://openloomi.ai/docs/library> |
| Connectors — Slack / Gmail / GitHub / Linear / Notion / HubSpot / … | <https://openloomi.ai/docs/connectors> |
| Native messaging bots — Telegram / WhatsApp / iMessage / Feishu / DingTalk / QQ / WeChat | <https://openloomi.ai/docs/messaging-apps> |
| Composio / Loop channel — OAuth broker for 1000+ apps | <https://openloomi.ai/docs/glossary#composio--loop-channel> |
| Attention Agent — Loomi the fox, card bubbles, sprite states | <https://openloomi.ai/docs/attention-agent> |
| Agent Runtimes — Claude / Codex / OpenCode / Hermes / OpenClaw | <https://openloomi.ai/docs/reference/agent-runtimes> |
| Plugins — bridge from Claude Code / Codex into OpenLoomi | <https://openloomi.ai/docs/plugins> |
| Automation / Proactive Tasks — recurring scheduled work | <https://openloomi.ai/docs/automation> |
| Chat — conversational entry point (not Loop) | <https://openloomi.ai/docs/chat> |
| Skills — reusable capabilities inside OpenLoomi | <https://openloomi.ai/docs/skills> |
| Audit Log — every consequential moment recorded | <https://openloomi.ai/docs/privacy-security#audit-logs> |
| Privacy & Security — local-first, AES-256, what's stored where | <https://openloomi.ai/docs/privacy-security> |
| Changelog — what's new in each release | <https://openloomi.ai/docs/changelog> |
## Phase 0 — Pre-flight
Before running any phase, do **three** things in this exact order:
```bash
# 1. Readiness (sandbox-aware)
node "${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs" setup-status --json
# 2. If loopbackAccessAmbiguous: true, refresh host probe outside sandbox
node "${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs" run-host-probe
# 3. Confirm the selected execution provider. Only inspect Claude auth when
# Claude is selected; Codex/OpenCode/Hermes/OpenClaw use their own auth.
node "${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs" setup-status --json | jq '{executionProviderReady, executionProviderSource, nativeRuntimeProvider, nativeRuntime}'
```
Decision tree:
| Pre-flight outcome | Tour action |
| --- | --- |
| `ready: true`, `executionProviderReady: true` | Proceed straight to Phase 1, regardless of which runtime is selected |
| `ready: false`, `nextAction: setup` (or no setup) | Tell the user setup hasn't run yet. Offer to invoke `/openloomi:setup` first, then return to tour |
| `ready: false`, `OPENLOOMI_API_UNREACHABLE` | Re-run `run-host-probe` outside the sandbox; if still unreachable, surface the bridge's `hints[]` and stop |
| `nativeRuntimeProvider: "claude"`, `nativeRuntime.authenticated: false` | Point user at `claude auth login`, then re-run setup-status. The tour can continue but Loop won't have a runtime to drive actions |
| Non-Claude `nativeRuntimeProvider`, `executionProviderReady: true` | Proceed without asking for Claude login or an Anthropic API key; the selected runtime brings its own auth |
Print the user's current state in one line (mode, installed, selected
execution provider, provider ready) before announcing Phase 1.
---
## Phase 1 — Pet reaction (always run)
The pet is the **fastest, cheapest, safest** proof that the desktop is
listening. Run four "sight" states in sequence so the user sees the
sprite set:
```bash
node "${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs" pet happy
node "${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs" pet thinking
node "${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs" pet working
node "${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs" pet juggling
```
After each, say "Loomi just showed the `<state>` sprite — that proves
the desktop is watching the pet watcher and accepting state changes
from Claude Code." End by leaving the pet at `happy` (success-state
feel).
For the full state taxonomy, see the [Attention Agent](https://openloomi.ai/docs/attention-agent) doc; for the broader pipeline see the [Glossary](https://openloomi.ai/docs/glossary).
If `POST /api/pet/state` returns "would have set state to X — pending
OpenLoomi endpoint", note that the runtime is older than the bridge
expects; the pet widget will catch up via the `~/.openloomi/loop/`
file watcher anyway. Avoid `sleeping` / `sweeping` — those are
watcher-only on the API surface and the bridge will surface a 400
`invalid_state`.
---
## Phase 2 — Onboarding & input sources (interactive)
This is the first **real** action and the first place the user may have
to do something in another window. There are **three** input paths;
offer them all and let the user pick:
> **A. Native bot** ([Telegram / WhatsApp / iMessage / Feishu / DingTalk
> / QQ / WeChat](https://openloomi.ai/docs/messaging-apps)) — fastest, no browser OAuth. Best if you already use
> one of those.
>
> **B. [Composio OAuth](https://openloomi.ai/docs/glossary#composio--loop-channel)** (Gmail / Slack / GitHub / Google Calendar /
> Notion / Linear / HubSpot / LinkedIn / Jira / Asana / Discord / X) —
> one browser click, works for the apps most people already have. Full list at [Connectors](https://openloomi.ai/docs/connectors).
>
> **C. [Screen memory](https://openloomi.ai/docs/memory) (macOS only)** — right-click the Loomi pet on the
> desktop → **Open Settings** → enable **Screen Capture**. The globalFrom melandlabs/openloomi, Apache-2.0.
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Signals
- Stars
- 1,038
- Forks
- 45
- Open issues
- 20
- Last commit (this folder)
- Jul 23, 2026 (3 months ago)
- Last release
- Aug 31, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/melandlabs/openloomi
- Website
- openloomi.ai/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
openloomi-tour skill. Agent Mart. https://agentmart.dev/skills/melandlabs-openloomi-tour (last updated 2026-10-24)