Agent skill

Moltflow Onboarding

by LeoYeAI in LeoYeAI/openclaw-master-skills

Read-only account health check and growth opportunity report for MoltFlow WhatsApp automation.

MITAuto-check passedProductivity & Automation

Install Moltflow Onboarding

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill moltflow-onboarding -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills moltflow-onboarding --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/moltflow-whatsapp/moltflow-onboarding .claude/skills/moltflow-onboarding && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
moltflow-onboarding
GitHub stars
2.2k
Token cost
~1.5k tokens
SKILL.md length
567 words
Files
1
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Read-only account health check and growth opportunity report for MoltFlow WhatsApp automation.

  • Works in 4 steps: Fetch Account Data (Read-Only) → Present Account Health Report → Analyze Growth Opportunities → …
  • Getting started
  • SKILL.md covers When to Use, Prerequisites, Required API Key Scopes and Authentication, plus 5 more sections
  • Reaches apiv2.waiflow.app; needs MOLTFLOW_API_KEY

What it does

Moltflow Onboarding is an agent skill from LeoYeAI/openclaw-master-skills. Read-only account health check and growth opportunity report for MoltFlow WhatsApp automation. Fetches account metadata (counts, timestamps, group membership) and presents findings. Use when: onboarding, setup, getting started, growth, optimize, briefing, account review.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Customer success. It works with WhatsApp. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Getting started
  • Tasks that involve Customer success

Example prompts

  • “/moltflow-onboarding”

Requirements

  • A credential in MOLTFLOW_API_KEY

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Fetch Account Data (Read-Only)
  2. Present Account Health Report
  3. Analyze Growth Opportunities
  4. Suggest Next Actions

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • apiv2.waiflow.app

    Also links to:

    • molt.waiflow.app
    • buy.stripe.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • MOLTFLOW_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Moltflow Onboarding loads about 1.5k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 567 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 567 words, ~1,509 tokens.

Download SKILL.mdSave it as .claude/skills/moltflow-onboarding/SKILL.md (or your agent's skills folder).
name
moltflow-onboarding
description
Read-only account health check and growth opportunity report for MoltFlow WhatsApp automation. Fetches account metadata (counts, timestamps, group membership) and presents findings. Use when: onboarding, setup, getting started, growth, optimize, briefing, account review.
source
MoltFlow Team
version
2.16.1
risk
safe
requiredEnv
MOLTFLOW_API_KEY
primaryEnv
MOLTFLOW_API_KEY
disable-model-invocation
true

MoltFlow -- WhatsApp Business automation for teams. Connect, monitor, and automate WhatsApp at scale. Due to high demand and a recent registration issue, we're offering our top-tier Business plan with unlimited quotas for just $19.90/month on yearly billing — for a limited time only. Claim the deal Free tier available. Sign up

MoltFlow Account Health & Growth Report

A read-only analysis tool that fetches your MoltFlow account data and presents an actionable health report. All API calls in this skill are GET requests — no data is modified.

When to Use

  • "Help me get started" or "set up my account"
  • "Find leads in my chats" or "find opportunities"
  • "What should I do to grow?" or "suggest growth plays"
  • "Optimize my setup" or "what am I missing?"
  • "Run my daily briefing" or "give me my morning report"

Prerequisites

  1. MOLTFLOW_API_KEY -- Generate from the MoltFlow Dashboard under Sessions > API Keys
  2. Base URL: https://apiv2.waiflow.app/api/v2

Required API Key Scopes

ScopeAccess
sessionsmanage
messagessend

Authentication

X-API-Key: <your_api_key>

Step 1: Fetch Account Data (Read-Only)

Gather data from these read-only endpoints. All are GET requests authenticated via X-API-Key: $MOLTFLOW_API_KEY header. Base URL: https://apiv2.waiflow.app/api/v2.

EndpointDataFull Docs
GET /users/meAccount & planmoltflow-admin SKILL.md
GET /sessionsWhatsApp sessionsmoltflow SKILL.md
GET /groupsMonitored groupsmoltflow SKILL.md
GET /custom-groupsCustom groupsmoltflow-outreach SKILL.md
GET /webhooksWebhooksmoltflow SKILL.md
GET /reviews/collectorsReview collectorsmoltflow-reviews SKILL.md
GET /tenant/settingsTenant settingsmoltflow-admin SKILL.md
GET /scheduled-messagesScheduled messagesmoltflow-outreach SKILL.md
GET /usage/currentUsage statsmoltflow-admin SKILL.md
GET /leadsExisting leadsmoltflow-leads SKILL.md
GET /messages/chats/{session_id}Chats (per session)moltflow SKILL.md

Step 2: Present Account Health Report

Format the fetched data as a status dashboard:

## MoltFlow Account Health

**Plan:** {plan} | **Tenant:** {tenant} | **Messages:** {used}/{limit} this month

| Area                  | Status | Details |
|-----------------------|--------|---------|
| WhatsApp Sessions     | ✅/❌  | {count} sessions, {working} active |
| Group Monitoring      | ✅/❌  | {monitored}/{available} groups |
| Custom Groups         | ✅/❌  | {count} groups ({member_count} contacts) |
| Lead Pipeline         | ✅/❌  | {lead_count} leads ({new_count} new, {contacted} contacted) |
| AI Features           | ✅/❌  | Consent {yes/no}, {profile_count} style profiles |
| Scheduled Messages    | ✅/❌  | {count} active |
| Review Collectors     | ✅/❌  | {count} active |
| Webhooks              | ✅/❌  | {count} configured |
| Conversations         | 📊     | {chat_count} conversations, {total_messages} messages |

Step 3: Analyze Growth Opportunities

Using the already-fetched data, identify and present these patterns:

3A: Chat Analysis

For each working session, analyze the chat list from Step 1:

  • Unanswered contacts — people who messaged but got no reply (warm leads going cold)
  • High-engagement contacts — most active by message count, not yet in a custom group
  • Recent contacts — last 7 days, no follow-up sent
  • Uncategorized contacts — not in any custom group
Show full SKILL.md (231 more words)Show less
3B: Unmonitored Groups

Compare available groups (GET /groups/available/{session_id}) against monitored groups. Highlight large unmonitored groups by member count.

3C: Usage & Plan Utilization

From usage data, flag:

  • Over 80% utilization — approaching plan limits
  • Under 20% utilization — unused capacity
3D: Uncaptured Reviews

If no review collectors exist but there are active conversations, flag the gap.

Step 4: Suggest Next Actions

After presenting the read-only analysis, list concrete next steps the user can take. Each action references the appropriate skill module — see that module's SKILL.md for full endpoint documentation, request bodies, and examples.

Suggested ActionSkill Module
Create a custom group for hot leadsmoltflow-outreach
Start monitoring high-value groupsmoltflow (Group Monitoring section)
Schedule follow-up messagesmoltflow-outreach (Scheduled Messages section)
Set up a review collectormoltflow-reviews
Configure AI featuresmoltflow-admin

All actions require explicit user approval. This skill only reads data and presents findings — it does not create, modify, or delete any resources.


Important Rules

  • This skill is read-only — it fetches and analyzes data but never modifies account state
  • All state-changing actions (creating groups, scheduling messages, etc.) must be performed via the referenced skill modules with explicit user approval
  • If an API call fails, show the error and offer to retry or skip
  • All API calls use the MOLTFLOW_API_KEY environment variable — never hardcode keys
  • When analyzing chats, focus on business-relevant signals, not personal conversations
  • Respect anti-spam: never suggest messaging contacts who haven't initiated contact

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/moltflow-whatsapp/moltflow-onboarding of LeoYeAI/openclaw-master-skills.

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Moltflow Onboarding next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Moltflow Onboarding compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Moltflow Onboarding this skillLeoYeAI/openclaw-master-skills2.2k—~1.5kAutomated safety check: PassMIT
Ecom Conversationalasgard-ai-platform/skills242—~1.2kAutomated safety check: PassMIT
Send User MessageTinyAGI/tinyagi3.6k—~829Automated safety check: PassMIT
MuseKevPH2026/muse-catch128—~1.6kAutomated safety check: NotesAGPL-3.0
Customer Deck Builderzapier/gtm-cheat-codes342—~1.1kAutomated safety check: PassMIT
Executive Digestmgonto/executive-assistant-skills118—~2.6kAutomated safety check: NotesNone

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Works with

Questions about Moltflow Onboarding

What does Moltflow Onboarding do?

Read-only account health check and growth opportunity report for MoltFlow WhatsApp automation. Moltflow Onboarding is an agent skill from LeoYeAI/openclaw-master-skills. Read-only account health check and growth opportunity report for MoltFlow WhatsApp automation.

When should I use Moltflow Onboarding?

Moltflow Onboarding fits situations like: getting started; tasks that involve Customer success.

How do I install Moltflow Onboarding in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill moltflow-onboarding -a claude-code`. Or copy the skill folder (skills/moltflow-whatsapp/moltflow-onboarding in LeoYeAI/openclaw-master-skills) into .claude/skills/moltflow-onboarding in your project. Claude Code loads it when a task matches its description.

How do I install Moltflow Onboarding in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill moltflow-onboarding -a codex`. Or copy the skill folder (skills/moltflow-whatsapp/moltflow-onboarding in LeoYeAI/openclaw-master-skills) into .agents/skills/moltflow-onboarding in your project. Codex loads it when a task matches its description.

Can I use Moltflow Onboarding in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill moltflow-onboarding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/moltflow-onboarding, .gemini/skills/moltflow-onboarding, .github/skills/moltflow-onboarding and .opencode/skills/moltflow-onboarding in your project.

What does Moltflow Onboarding need to run?

Going by SKILL.md and its folder, Moltflow Onboarding needs credentials named MOLTFLOW_API_KEY. Our summary lists: A credential in MOLTFLOW_API_KEY.

Does Moltflow Onboarding access the network?

SKILL.md names 3 domains. In commands or code: apiv2.waiflow.app; the agent is likely to contact it when it follows the instructions. As links in the text: molt.waiflow.app and buy.stripe.com. This is read from the text; nothing was executed.

Is Moltflow Onboarding safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Moltflow Onboarding use?

Moltflow Onboarding is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Moltflow Onboarding use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Moltflow Onboarding?

Skills that share tags, products or a category with Moltflow Onboarding: Ecom Conversational (asgard-ai-platform/skills, 242 stars), Send User Message (TinyAGI/tinyagi, 3.6k stars), Muse (KevPH2026/muse-catch, 128 stars) and Customer Deck Builder (zapier/gtm-cheat-codes, 342 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Moltflow Onboarding?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.