Regression Modeler
zebbern/claude-code-guide
Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation.
Automate repeatable workflows with WhatsApp/Telegram notifications, Excel/CSV processing, browser automation, and flexible scheduling.
$ npx skills add LeoYeAI/openclaw-master-skills --skill workflow-automator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills workflow-automator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw-workflow-automator .claude/skills/workflow-automator && rm -rf skills-srcUse ~/.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/
Install the "workflow-automator" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/openclaw-workflow-automator into .claude/skills/workflow-automator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-automator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/openclaw-workflow-automatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill workflow-automator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills workflow-automator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openclaw-workflow-automator .agents/skills/workflow-automator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "workflow-automator" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/openclaw-workflow-automator into .agents/skills/workflow-automator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-automator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill workflow-automator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills workflow-automator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openclaw-workflow-automator .cursor/skills/workflow-automator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "workflow-automator" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/openclaw-workflow-automator into .cursor/skills/workflow-automator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-automator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/openclaw-workflow-automator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill workflow-automator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills workflow-automator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openclaw-workflow-automator .gemini/skills/workflow-automator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "workflow-automator" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/openclaw-workflow-automator into .gemini/skills/workflow-automator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-automator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills workflow-automatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill workflow-automator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openclaw-workflow-automator .github/skills/workflow-automator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "workflow-automator" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/openclaw-workflow-automator into .github/skills/workflow-automator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-automator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill workflow-automator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills workflow-automator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openclaw-workflow-automator .opencode/skills/workflow-automator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "workflow-automator" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/openclaw-workflow-automator into .opencode/skills/workflow-automator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-automator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
workflow-automatorAutomate repeatable workflows with WhatsApp/Telegram notifications, Excel/CSV processing, browser automation, and flexible scheduling.
Workflow Automator is an agent skill from LeoYeAI/openclaw-master-skills. Automate repeatable workflows with WhatsApp/Telegram notifications, Excel/CSV processing, browser automation, and flexible scheduling. Describe tasks in plain English — the agent decomposes, executes, and schedules them. Use when the user wants to automate multi-step tasks, schedule recurring workflows, extract data from websites, process files, or send reports to messaging channels.
Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `_meta.json`, `references/browser-guide.md` and `references/scheduling-guide.md`).
It sits in Productivity & Automation, covering Browser automation, CSV and tabular files and Excel spreadsheets. It works with Telegram, WhatsApp, Microsoft Excel and Slack. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
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.
Ships 11 files in scripts/ (Shell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Workflow Automator loads about 4.7k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 2,231 words of instructions outside code blocks.
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.
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); the scripts in this folder are not scanned.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,231 words, ~4,713 tokens.
.claude/skills/workflow-automator/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.Send reports to WhatsApp. Alert your team on Telegram. Process Excel files. Scrape websites. Schedule it all to run automatically. Describe what you want in plain English — I handle the rest.
What I can do:
You describe it once. I run it forever.
When I decompose your workflow, each step gets classified:
| Type | What I Use | Examples |
|---|---|---|
| file-read | cat, head, tail, less | "Read the CSV" |
| file-write | tee, redirect (>) | "Save results to output.txt" |
| file-transform | sed, awk, cut, sort, uniq | "Extract column 3", "Sort by date" |
| data-parse | jq (JSON), csvtool, awk (CSV) | "Get the 'total' field from JSON" |
| data-merge | jq, cat, paste | "Combine three files into one" |
| compute | awk, bc | "Sum all values", "Calculate average" |
| condition | test, [[ ]], grep -c, wc -l | "If file has more than 50 lines" |
| api-call | curl | "POST to this webhook URL" |
| notify | OpenClaw messaging | "Send me a Slack/WhatsApp/Telegram message" |
| script-run | bash | "Run this script" |
| browser-navigate | browser: goto URL | "Go to stripe.com/dashboard" |
| browser-click | browser: click element | "Click the Download button" |
| browser-fill | browser: type into field | "Enter my username" |
| browser-extract | browser: read page content | "Get the invoice total" |
| browser-screenshot | browser: capture page | "Take a screenshot of the report" |
| browser-wait | browser: wait for element | "Wait for the table to load" |
| schedule-set | cron | "Run this every Monday at 8am" |
| schedule-once | cron (one-time) | "Run this tomorrow at 3pm" |
| webhook-listen | webhook | "Trigger when Stripe sends a payment event" |
When I break down your workflow, I follow these rules strictly:
One action, one output. "Open page and click download" becomes two steps.
After each step, I show you the output so you can confirm it's correct.
If your description is ambiguous, I ask a specific clarifying question. I never guess what you meant.
If a step requires a tool I don't have yet, I tell you plainly and suggest an alternative when possible.
You can manage schedules conversationally:
Schedules are stored in ~/.openclaw/workflow-automator/schedules/. Each schedule
is a JSON file containing:
{
"workflow_name": "Monday Report",
"cron_expression": "0 8 * * 1",
"steps": [ ... ],
"last_run": "2026-03-17T08:00:00Z",
"next_run": "2026-03-24T08:00:00Z",
"status": "active",
"notification_channel": "telegram",
"created_at": "2026-03-10T14:30:00Z",
"updated_at": "2026-03-10T14:30:00Z"
}I read this directory to answer "what's scheduled?" and to manage your workflows.
See references/scheduling-guide.md for cron syntax details and schedule patterns.
~/.openclaw/workflow-automator/screenshots/)allowed_sites array. If allowed_sites
is not set, I warn but don't block (backwards compatible).See references/browser-guide.md for detailed browser automation patterns.
~/.openclaw/workflow-automator/audit.log.
Use audit-log.sh read --failures to review failed runs or
audit-log.sh stats for a summary.max_session_age_days
in the plan to override.~/.openclaw/workflow-automator/sessions/.
One workflow's cookies cannot leak to another."clear_session": true
to wipe browser cookies/localStorage after the last step completes.
Use for one-time tasks that should not leave a logged-in session behind."restricted_mode": true.
In this mode, only commands listed in allowed_commands can run
(warnings become hard blocks), and inline interpreter execution
(e.g. inline scripting language execution) is forbidden.validate-plan.sh flags commands containing
obfuscation patterns: base64, eval, exec, hex escapes (\x).--force to approve immediately.data-inventory.sh show displays all
persistent data with disk usage, permissions, and sensitivity levels.
data-inventory.sh purge <category> deletes data by category.
data-inventory.sh purge-workflow <name> removes all traces of a workflow.validate-plan.sh blocks browser automation
of financial, banking, payment, and investment sites (Chase, PayPal,
Coinbase, etc.). These sites cannot be automated even with approval.All runs are logged to ~/.openclaw/workflow-automator/runs/
I will refuse to execute commands that:
When I present your workflow plan, it looks like this:
WORKFLOW PLAN: [Your description]
SCHEDULE: Every Monday at 8:00 AM CST (cron: 0 8 * * 1)
NOTIFY: Telegram on completion, WhatsApp on failure
ALLOWED SITES: stripe.com, docs.google.com (browser scope)
═══════════════════════════════════════════════
Step 1 of N: [Description]
Type: [step type from classification table]
Input: [source]
Output: [destination]
Command: [exact command or browser action]
Step 2 of N: [Description]
Type: [step type]
Input: [source — may reference Step 1 output]
Output: [destination]
Command: [exact command or browser action]
...
APPROVE this plan and schedule? (yes / edit / reject)After each step executes:
STEP 1 of N: [Description]
─────────────────────────
Command: [what ran]
Status: SUCCESS (exit code 0) | FAILED (exit code N)
Duration: [seconds]
Output:
[stdout, truncated to 50 lines — full output saved to log]
Errors:
[stderr, if any]
→ Continue to Step 2? (yes / no / retry)After all steps finish:
WORKFLOW COMPLETE: [Name]
═════════════════════════
Total steps: N
Passed: N
Failed: N
Duration: [total time]
Files created/modified:
- [list of output files]
Schedule: Next run Monday March 24 at 8:00 AM CST
Notification: Results will be sent to Telegram
Status: Workflow completed successfully.If your workflow has branches ("if X then Y, else Z"), I handle it like this:
Step 3 of N: Check condition
Type: condition
Input: [what to check]
Check: [the condition]
If TRUE → proceed to Step 4a
If FALSE → proceed to Step 4b
Step 4a: [Action if true]
...
Step 4b: [Action if false]
...
Step 5: [Continues from whichever branch executed]I show you which branch was taken and why.
This skill requires the following tools in the runtime environment:
bash, jq, shasum (or sha256sum), date, grep, sed, awk,
mktemp, curl, bc. Optional: timeout/gtimeout (for step timeouts),
wkhtmltopdf (for PDF invoice generation).
Run check-environment.sh --verbose to verify your environment before
first use. The preflight check runs automatically on each workflow execution
and caches the result for one hour.
This skill depends on the OpenClaw runtime for the following:
notify.sh outputs structured JSON describing the
notification (channel, message, urgency). The OpenClaw agent runtime is
responsible for delivering to WhatsApp/Telegram/Slack/email using
platform-managed credentials. This skill does NOT store or request
messaging API tokens.check-schedules.sh must be called by an external
cron mechanism (OpenClaw's cron system or system crontab). This skill
manages schedule JSON files but does not install crontab entries itself.All credentials and data paths are declared in the SKILL.md frontmatter
(platform_credentials, user_credentials, data_directories).
~/.openclaw/workflow-automator/sessions/ with owner-only permissions
(chmod 700) and auto-expire after 7 days.© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 14 other files (scripts, references) in skills/openclaw-workflow-automator of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Workflow Automator 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Workflow Automator this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.7k | Automated safety check: Pass | MIT | |
| Regression Modelerzebbern/claude-code-guide | 4.7k | — | ~909 | Automated safety check: Pass | MIT | |
| Screaming Frog Toolgarrettjsmith/localseoskills | 120 | — | ~2k | Automated safety check: Pass | MIT | |
| Openclaw Rpalaziobird/openclaw-rpa | 229 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Ak Dev New Messaging Integrationyaalalabs/agent-kernel | 192 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Ak Add Integrationyaalalabs/agent-kernel | 192 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 |
zebbern/claude-code-guide
Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation.
garrettjsmith/localseoskills
When the user wants a technical site audit, crawl data analysis, location page quality checks, duplicate content detection, schema validation at scale, or internal linking analysis.
laziobird/openclaw-rpa
Record browser, Excel, Word & API actions once — replay without the LLM: faster, cheaper, no hallucinations.
yaalalabs/agent-kernel
Step-by-step guide for adding a new messaging platform integration to Agent Kernel.
yaalalabs/agent-kernel
Add a messaging platform integration to an existing Agent Kernel project.
n8n-io/n8n
Load before calling data-tables or parse-file. An agent skill from n8n-io/n8n.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Works with
Automate repeatable workflows with WhatsApp/Telegram notifications, Excel/CSV processing, browser automation, and flexible scheduling. Workflow Automator is an agent skill from LeoYeAI/openclaw-master-skills. Automate repeatable workflows with WhatsApp/Telegram notifications, Excel/CSV processing, browser automation, and flexible scheduling.
Workflow Automator fits situations like: the user wants to automate multi-step tasks; schedule recurring workflows; extract data from websites; send reports to messaging channels.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill workflow-automator -a claude-code`. Or copy the skill folder (skills/openclaw-workflow-automator in LeoYeAI/openclaw-master-skills) into .claude/skills/workflow-automator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill workflow-automator -a codex`. Or copy the skill folder (skills/openclaw-workflow-automator in LeoYeAI/openclaw-master-skills) into .agents/skills/workflow-automator in your project. Codex loads it when a task matches its description.
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 workflow-automator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workflow-automator, .gemini/skills/workflow-automator, .github/skills/workflow-automator and .opencode/skills/workflow-automator in your project.
Going by SKILL.md and its folder, Workflow Automator needs a shell for the scripts in its folder. Our summary lists: A Bash shell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Workflow Automator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Workflow Automator: Regression Modeler (zebbern/claude-code-guide, 4.7k stars), Screaming Frog Tool (garrettjsmith/localseoskills, 120 stars), Openclaw Rpa (laziobird/openclaw-rpa, 229 stars) and Ak Dev New Messaging Integration (yaalalabs/agent-kernel, 192 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.