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
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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-54beaa
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, agent-building
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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, $SKILL_DIR/../../scripts/loomi-bridge.mjs, *),, Bash(node, $SKILL_DIR/../openloomi-connectors/scripts/openloomi-connectors.cjs, *),, Bash(node, $SKILL_DIR/../openloomi-memory/scripts/openloomi-memory.cjs, *),, Bash(composio, *),, Bash(curl, *),, Bash(cat, ~/.openloomi/token, *),, Bash(base64, -d, *)
- Instructions
- 511 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
- Instructions call the network
Agent Skills spec issues
- body: 511 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**. 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 "$SKILL_DIR/../../scripts/loomi-bridge.mjs" setup-status # 2. If loopbackAccessAmbiguous: true, refresh host probe outside sandbox node "$SKILL_DIR/../../scripts/loomi-bridge.mjs" run-host-probe # 3. Confirm Codex runtime is the active default agent node "$SKILL_DIR/../../scripts/loomi-bridge.mjs" codex-runtime-info ``` Decision tree: | Pre-flight outcome | Tour action | | --- | --- | | `ready: true`, `defaultAgent: codex` | Proceed straight to Phase 1 | | `ready: false`, `nextAction: 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 | | `defaultAgent != codex` | Ask the user whether to switch to Codex runtime or tour anyway with the current provider | Print the user's current state in one line (mode, installed, default agent) before announcing Phase 1. --- ## Phase 1 — Pet reaction (always run) The pet is the **fastest, cheapest, safest** proof that the desktop is listening. Run all four "sight" states in sequence so the user sees the sprite set: ```bash node "$SKILL_DIR/../../scripts/loomi-bridge.mjs" pet happy node "$SKILL_DIR/../../scripts/loomi-bridge.mjs" pet thinking node "$SKILL_DIR/../../scripts/loomi-bridge.mjs" pet working node "$SKILL_DIR/../../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 Codex." 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. --- ## 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 global > capture shortcut (configurable in the same panel) summarises the > frontmost window and stores the result directly as a Memory record. > **Important:** screen memories go to Memory *directly* and do **not** > flow through Signals — Loop will not tick on them. So screen memory > alone is **not** enough to drive Phase 3.
From 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 (2 months 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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openloomi-tour skill. Agent Mart. https://agentmart.dev/skills/melandlabs-openloomi-tour-54beaa (last updated 2026-10-24)