Use-case landing page

Best Analytics and Reporting integrations for OpenClaw

Integration-focused picks for turning raw data into dashboards, reporting loops, and analytics outputs.

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Matched skills

30

Real skills currently mapped into this landing page cluster.

Average security

61.7

A quick trust signal across the skills currently surfaced here.

Combined installs

6.8K

Adoption signal across the skills shown on this page.

Why this page exists

Analytics and Reporting searches often use integrations wording when the user already knows the workflow and wants a shortlist. This page captures that phrasing with the same live SkillsReview catalog instead of inventing a separate dataset.

That lets the rollout cover analytics intent separately from pure SQL intent while still reusing the same template system. That helps the matrix cover another honest query family without turning the rollout into hand-written page debt.

Top skills in this cluster

Ranked with live SkillsReview data and linked into detail pages that can convert search traffic into actual usage.

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Advanced filters

Combine security, update window, activity, and reputation filters. The current filter state stays in the query string so this category view is shareable.

#1

1password

by openclaw

Security 85

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.

Category
security
Installs
1.4K
Stars
480
Reviews
18
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#2

bluebubbles

by openclaw

Security 85

Use when you need to send or manage iMessages via BlueBubbles (recommended iMessage integration). Calls go through the generic message tool with channel="bluebubbles".

Category
communication
Installs
300
Stars
100
Reviews
5
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#3

trello

by openclaw

Security 85

Manage Trello boards, lists, and cards via the Trello REST API.

Category
productivity
Installs
300
Stars
100
Reviews
5
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#10

OpenClaw 11-in-1 Visual Automation Suite (Windows Only) Complete visual automation toolkit with 11 integrated modules. ### 💰 Price One-time purchase: **$2.99** (Lifetime access to all modules + future updates) ### 🚀 How to Purchase 1. Pay via PayPal Invoice: 🔗 [Click to pay $2.99](https://www.paypal.com/invoice/p/#V2RC9S8LVKJ434R9) 2. After payment, send your email to: **1215066513@qq.com** 3. I will send the full download link within 12 hours. ### 🖥️ Compatibility - Windows 10 / 11 only - Not compatible with macOS / Linux ## 1. Product Basic Description ### 1.1 Core Functions Provides professional universal computer vision automation capabilities covering the full-process visual automation scenarios such as environment initialization, full-screen automatic screenshot, OCR text recognition, template matching target localization, mouse click simulation, keyboard input simulation, and complete environment initialization & cleanup mechanisms. It supports custom task combination and cyclic execution. ### 1.2 Version & Directory Description - Core Capability: Flexible invocation based on minimum executable units, supporting parameter customization, result variable inheritance, and custom skill saving. All functions can be used directly with the `call` command right after extracting the package. - Directory Structure: - `claw.json` - Skill package configuration file - `skills/all_skills.claw` - All skill unit definitions - `templates/` - Directory for template images (place your template images here for matching) - Temporary file directory `temp/` (for storing screenshots like temp/screen.png) is automatically created after executing `init_env`; temporary screenshot files can be cleaned up via `clean_temp`. - Version Info: Current version: 1.0.0; Compatible with OpenClaw >= 1.0.0 ### 1.3 Paid Attribute This automation skill system (vision-auto-tool-pro) is a paid professional toolkit. The document does not explicitly authorize commercial use of the toolkit. The paid permission only covers basic usage (non-commercial by default), and commercial use requires separate confirmation of authorization with the provider (e.g., purchasing a commercial license, signing a commercial agreement). ## 2. Complete Skill Invocation Manual ### Important Notes Ensure sufficient time is reserved for the computer to respond to each click or operation. For example, add a 2-second wait after `mouse_click` to avoid operation failure due to slow system response. ### 2.1 List of All Minimum Executable Units | Unit Name | Fixed Call Name | Function Description | Individual Call Method | |-------------------------|--------------------------|--------------------------------------------------------------------------------------|-------------------------------------------------| | Initialize Environment | `init_env` | Create directory structure, clear temporary files, check template directory | `call init_env` | | Full Screen Screenshot | `screenshot_full` | Capture entire screen and save as temp/screen.png | `call screenshot_full` | | Check Screenshot Validity | `check_screenshot_valid` | Check for black screen/freeze, wake up the interface if invalid | `call check_screenshot_valid` | | Wake Interface | `wake_window` | Solve the problems of background non-rendering and black screenshot | `call wake_window` | | OCR Recognition | `ocr_recognize` | Recognize all text on the screen and their corresponding coordinates | `call ocr_recognize` | | Template Matching | `template_match` | Use template image to match and locate icons/buttons | `call template_match category template_name` | | Unified Localization | `locate_target` | Prioritize OCR positioning; use template matching if not found, return coordinates | `call locate_target target_text OR category+template_name` | | Mouse Click | `mouse_click` | Move to the specified coordinates and perform click operation | `call mouse_click X Y [click_type, default=single_click]` | | Keyboard Input | `keyboard_input` | Input text after locating the input box | `call keyboard_input target_coords/description input_content` | | Clean Temporary Files | `clean_temp` | Delete temporary screenshots and free up storage space | `call clean_temp` | | Loop Restart | `loop_restart` | Wait 2 seconds then go back to the screenshot step and restart the process | `call loop_restart` | ### 2.2 Method for Invoking Individual Units #### Invocation Format ``` call [unit_call_name] [parameter...] ``` #### Invocation Examples - Initialize environment: `call init_env` - Template match browser icon on desktop: `call template_match desktop web` - Perform double-click at coordinates (100,200): `call mouse_click 100 200 double` ### 2.3 Combine into Custom New Tasks By writing one call instruction per line in execution order, you can combine them into a custom new task, which supports variable inheritance, looping, and permanent saving. #### Format Example (Open Browser) ``` # Task Name: Open Browser call init_env call screenshot_full call check_screenshot_valid call locate_target browser desktop Browser call mouse_click {{resultX}} {{resultY}} double call clean_temp ``` #### Combination Steps 1. **Write task name and description first** (for easier identification later) 2. **In execution order**, write one `call unit_name parameters` instruction per line 3. Coordinates can use variables `{{resultX}}`/`{{resultY}}` to inherit the output result of the previous unit 4. If cyclic execution is required, add `call loop_restart` at the end 5. **Save custom skill**: Use `save_skill skill_name instruction_list` to save the task permanently, then call it directly with `call skill_name` ### 2.4 Complete Main Flow Invocation Example ``` # General Main Flow: vision_auto_main call init_env call screenshot_full call check_screenshot_valid call ocr_recognize # If template matching is needed, add this line: call template_match category name call locate_target target_text call mouse_click {{X}} {{Y}} # If text input is needed, replace the above line with: call keyboard_input {{X}} {{Y}} input_content call clean_temp # Add this line if you need to loop: call loop_restart ``` ### Important Notes Ensure sufficient time is reserved for the computer to respond to each click or operation. > For example, add a 2-second wait after `mouse_click` to avoid operation failure due to slow system response.

by community

Security 71

OpenClaw skill indexed by SkillsReview.

Category
web
Installs
0
Stars
0
Reviews
99
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#12

Agent Stack

by community

Security 70

Agent content platform — publish insights, subscribe to agents, Validate, DM, bounties, clubs. "OnlyFans for AI Agents

Category
utility
Installs
4.7K
Stars
47
Reviews
94
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Security 50

OpenClaw skill indexed by SkillsReview.

Category
data
Installs
0
Stars
0
Reviews
0
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For SQL, analytics, databases, CSV pipelines, and structured data workflows.

Best Productivity Skills for OpenClaw

Workflow helpers for notes, tasks, reminders, calendars, and everyday personal automation.

Best Analytics and Reporting Skills

Skills for dashboards, reporting, metrics, and decision-ready analytics workflows.

Best Analytics and Reporting Automation Skills

Automation-focused picks for turning raw data into dashboards, reporting loops, and analytics outputs.

Best Analytics and Reporting Workflow Skills

Skills built for repeatable analytics and reporting workflows and multi-step execution.

Analytics and Reporting Rankings

Ranking-focused view of turning raw data into dashboards, reporting loops, and analytics outputs.

Best Analytics and Reporting Platforms

Platform-oriented picks for turning raw data into dashboards, reporting loops, and analytics outputs.

Best Analytics and Reporting Playbooks

Playbook-style picks for turning raw data into dashboards, reporting loops, and analytics outputs.

Best Analytics and Reporting Skills for Admins

Admins picks for turning raw data into dashboards, reporting loops, and analytics outputs.

FAQ

Why does this page use integrations wording for Analytics and Reporting?

Because many searchers use integrations language even when they are really evaluating agent skills. SkillsReview uses that wording to meet search intent while still ranking the same live catalog honestly.

Is this Analytics and Reporting integrations page different from the main best-skills page?

The core skill graph is the same. What changes is the metadata, framing, and query intent this page is meant to cover, which improves crawl coverage without fake content branching.