Grok Bot Skills: Turn Repeatable Business Tasks Into Reusable Recipes

The Problem: Every Week, the Same Task Explained from Scratch

You ask your Bot to pull last week's support tickets and summarize the urgent ones. It works. Two weeks later you ask again. Different result, different format, missing the context you need. You explain again. A teammate asks their Bot for the same summary. They get a third version, formatted differently, using a different threshold for urgent.

The task is the same. The method that worked is sitting in a conversation thread three weeks back. But every time someone asks, the Bot starts over, guessing at the steps, the format, the decision rules, and the boundaries.

A Grok Bot skill solves this. A skill turns a task that worked once into a recipe any of your Bots can follow. It captures the steps, the decision rules, the expected output, and the safety boundaries in one reusable set of instructions. Save the method as a skill, and the next time you or a teammate asks, the Bot knows exactly what to do.

The official sequence is deliberate: start with a one-time task, make it reliable, save the method as a skill, and only then automate it. This post walks through that sequence, step by step, so you can turn the tasks you repeat every week into tested, shareable recipes.

What a Grok Bot Skill Is, and What It Is Not

A skill is a reusable set of instructions for how to do a task. It describes the steps, the inputs, the decision rules, the output format, and what requires approval. Skills are available across your Bots, although a Bot may need the relevant app or login to use one. Your private skills live in one library shared by all your Bots.

A skill is not a routine. A routine tells one Bot when to run a workflow: on a schedule, or when something happens in Slack, GitHub, Linear, Sentry, PagerDuty, or via email or webhook. The skill describes how to perform the task; a routine assigns a workflow to one Bot and tells it when to run, and that workflow can be a saved skill. Grok Bot's skills and routines documentation makes the distinction clear: test the skill on a real one-time task before turning it into a routine.

A skill is not memory. Memory holds lasting preferences, rules, facts, and a dated log. When you tell a Bot, "From now on, never send external messages without approval," that boundary belongs in memory. A skill, by contrast, is a full procedure: the sequence of work, the validation steps, the output format, and the approval line for one repeatable task. Memory is not a source of truth. Keep changing facts in your source system, not in memory. Back safety boundaries with approvals and Auto-review rules rather than memory alone.

A skill is not a Bot's job. You create a separate Bot when work has a distinct goal, ownership, set of tools and sources, working style, approval boundary, or recurring schedule. For a personal Bot you describe its job in chat. Personal Bots no longer have a description field; a shared Bot still has one under About. Skills are the repeatable tasks inside that job.

Which one do you need? Use a skill when you want to capture how to do a task so any Bot can repeat it. Use a routine when you want to schedule that skill or trigger it automatically. Use memory when you want to set a lasting preference or rule. Create a new Bot when the work has a different owner, different tools, or a different approval boundary.

Which Tasks Deserve a Skill

Not every task needs a skill. A practical filter: the task repeats, it has a recognizable trigger situation, it has a defined output, someone can judge right versus wrong, and the inputs are reachable by the Bot.

Picture a three-location dental practice. Every Monday morning the office manager needs a summary of new patient inquiries from the weekend: name, preferred location, urgency, and whether the inquiry mentioned insurance or financing. The task repeats weekly, the trigger is clear, the output is a short table, the manager can tell if a row is missing or wrong, and the Bot can reach the inbox and the CRM. That task deserves a skill.

Imagine a small agency that sends the same client report every Monday: active campaigns, spend versus budget, new leads, and any paused ads. The task repeats, the trigger is the start of the week, the output is a draft email with a table, the account manager can review it before sending, and the Bot can reach the ad account. That task deserves a skill.

Consider a finance operator who reconciles expenses every Friday: pull transactions from the company card, match them to submitted receipts, flag unmatched items, and draft a summary for the controller. The task repeats, the trigger is end of week, the output is a reconciliation table and a list of exceptions, the controller can verify the matches, and the Bot can reach the card provider and the expense tool. That task deserves a skill.

Other examples across functions: lead or inquiry triage summary, invoice reconciliation draft, competitor or market scan, meeting prep brief, content brief. Each repeats, each has a clear output, each can be judged, each has reachable inputs.

Tasks that should not be a skill yet: a task you have run only once and never corrected; a task with inputs that change location or format every time; a task where right versus wrong depends entirely on subjective judgment with no criteria; a task that requires access the Bot does not have and cannot get; a task that is really five unrelated tasks bundled together. Start with one task, make it work, then save the skill.

Start with One Real Task

Do not write a skill from scratch. Do not imagine the steps. Run the task once, with a safe scope, in a conversation with a Bot.

Choose a real example with current data. If the task is a weekly client report, pick one client and one week. If the task is lead triage, pick the last ten leads. If the task is expense reconciliation, pick last Friday's transactions. Safe scope means limited: one client, one week, ten rows, no sends, no deletes, no purchases.

Tell the Bot what you need, point it to the sources, and let it work. When the result comes back, review it. Is the format right? Are the sources correct? Did it stop at the approval point? Is anything missing or wrong?

Correct the Bot in the same conversation. If the format is wrong, tell it the correct format. If it missed a source, point it to the right place. If it did not stop for approval, tell it to stop next time. Run the task again, in the same conversation, with the corrections applied.

Repeat until the result is reviewable without you. Reviewable means someone else, or you three weeks from now, can look at the result and tell whether it is right. The output has headings, source links, timestamps, and a clear list of what could not be verified. Actions are separated: completed, awaiting approval, unresolved questions.

Keep the conversation where it worked. That conversation is the source material for the skill.

Anatomy of a Good Skill

A useful skill states six things: when to use it, required inputs and access, the sequence of work, how to validate the result, what to return, and what requires approval. Walk through each element with concrete guidance.

When to Use It

The first element answers: what situation calls for this skill? Be specific enough that a Bot, or a teammate, can recognize when it applies.

Weak: "Use this for reports." Strong: "Use this skill when you need a weekly summary of new patient inquiries from the past seven days, formatted for the office manager's Monday morning review."

Weak: "Use this for client updates." Strong: "Use this skill when you need a draft client report showing active campaigns, spend versus budget, new leads, and paused ads for one client and one week."

The description should include the trigger, the scope, and the audience. If the task is time-bound, say so. If it applies to one client at a time, say so. If it is a draft for review, say so.

Required Inputs and Access

The second element lists what the Bot needs before it can start: the inputs, the apps, the logins, the files.

For the patient inquiry summary: access to the shared inbox, access to the CRM, the date range (past seven days), and the list of locations.

For the client report: access to the ad account, the client name, the week start and end dates, and the budget figure from the contract.

For the expense reconciliation: access to the company card provider, access to the expense tool, the date range (past week), and the list of employees who submit receipts.

Be explicit about what must be provided versus what the Bot can look up. If the client name must be provided, say so. If the budget is in a file, name the file. If the date range defaults to the past seven days, say so. If an app is not connected, the Bot cannot use the skill; the skill should say which apps it requires.

The Sequence of Work

The third element is the procedure: the steps, in order, with decision rules.

For the patient inquiry summary: one, pull all messages from the shared inbox in the past seven days with subject lines or body text that mention appointment, new patient, or schedule. Two, for each message, extract name, preferred location, urgency keywords (ASAP, urgent, pain, emergency), and any mention of insurance or financing. Three, check the CRM for each name; if the name exists, mark as returning, not new. Four, sort by urgency, then by date. Five, return the table.

For the client report: one, pull all active campaigns for the named client in the date range. Two, sum spend by campaign. Three, compare spend to the budget figure provided. Four, count new leads by campaign. Five, list any paused ads with the pause date and reason if available. Six, format as a table with columns: campaign name, spend, budget, percent of budget, new leads, paused ads. Seven, draft the email body with the table and a one-sentence summary.

For the expense reconciliation: one, pull all transactions from the company card in the date range. Two, pull all submitted receipts from the expense tool in the same date range. Three, match each transaction to a receipt by amount, date, and merchant name. Four, flag unmatched transactions. Five, flag receipts with no matching transaction. Six, return a reconciliation table with columns: transaction date, merchant, amount, receipt ID, match status. Seven, list unmatched items separately with a note for the controller.

Include decision rules. If a message does not mention a location, what should the Bot do? If a campaign has no leads, should it appear in the table? If a receipt amount is within five dollars of a transaction, is that a match? If the card provider is unavailable, should the Bot stop or use cached data?

Include failure handling. If the inbox is empty, return a note that says no inquiries found. If the ad account returns an error, stop and report the error, do not use old data. If a receipt file is missing, flag it and continue with the rest.

How to Validate the Result

The fourth element tells the Bot, and the reviewer, how to check the work.

For the patient inquiry summary: every row in the table must have a source message link. Every name marked as new must not appear in the CRM. Every urgency flag must correspond to a keyword in the message body. The date range must match the past seven days from today.

For the client report: every campaign in the table must be active in the date range. The spend sum for each campaign must match the ad account total. The budget comparison must use the figure provided, not a guess. Every paused ad must have a pause date. The email draft must not be sent.

For the expense reconciliation: every transaction must appear in the table. Every receipt must be checked. A match requires amount, date within one day, and merchant name similarity. Unmatched items must be listed separately. The summary must state how many transactions, how many receipts, how many matched, how many unmatched.

Validation criteria give the reviewer a checklist and give the Bot a quality bar.

What to Return

The fifth element specifies the artifact and the acceptance criteria.

The artifact might be a document with headings and source links, a spreadsheet with defined columns and formulas, a slide deck with speaker notes, a folder with screenshots and logs, a draft message not sent, or a short recommendation followed by evidence.

For consequential work, separate facts found in source systems, assumptions or inferences, actions completed, actions waiting for approval, and unresolved questions.

Preserve evidence: direct source links, screenshots, timestamps and time zones, input and output file names, a concise action log, and an explicit list of anything that could not be verified.

For the patient inquiry summary: return a table with columns: name, preferred location, urgency, insurance or financing mentioned, new or returning, source message link. Include a timestamp for when the summary was generated. Include a note if any messages could not be parsed.

For the client report: return a draft email with the table in the body, a one-sentence summary at the top, and a note at the bottom listing the date range, the budget figure used, and the ad account queried. Do not send the email. Include a timestamp and time zone.

For the expense reconciliation: return a spreadsheet with two sheets: one for the reconciliation table, one for unmatched items. Include formulas that sum matched and unmatched counts. Include a text summary with the counts, the date range, and a link to the card provider transaction log. Include a note if any receipts could not be opened.

The skill should also state the no-data and stale-data policy. If the source data is unavailable, report the failure instead of using old data. Set a freshness window you choose, for example a day, and include a warning when the source is older than that. If partial data is acceptable, say so and explain where to report partial completion.

What Requires Approval

The sixth element draws the line: which actions the Bot can complete, and which actions must stop and wait for approval.

For the patient inquiry summary: no external action, no approval needed. The summary is for internal review only.

For the client report: the email is a draft, not sent. Sending requires approval. If the skill later includes posting the report to a shared channel, that also requires approval.

For the expense reconciliation: the reconciliation is a draft. Marking a transaction as approved, disputing a charge, or contacting an employee about a missing receipt all require approval.

The approval line should be explicit. List the actions that require approval. If the task has no external actions, say so. If the task is purely informational, say so. If the task includes actions that are reversible versus irreversible, separate them.

Keep consequential external actions behind approval: sending, purchasing, deleting, publishing, changing production systems, contacting customers. Draft first, recommend first, reconcile first, then require approval before execution.

A Fill-In Skill Template

Copy and adapt this template when you write a skill. Fill in each section with the specifics for your task.

• Skill name: [short, clear name that describes the task]
• When to use it: [the situation, trigger, scope, and audience]
• Required inputs and access: [apps, logins, files, parameters that must be provided or available]
• The sequence of work: [numbered steps with decision rules and failure handling]
• How to validate the result: [checklist the reviewer can use to verify the work]
• What to return: [artifact type, format, required elements, evidence, no-data policy]
• What requires approval: [list of actions that must stop and wait, or state no approval needed]

Worked Example: Weekly Client Report

Here is a fully worked hypothetical skill using the template.

Skill name: Weekly Client Report

When to use it: Use this skill when you need a draft client report showing active campaigns, spend versus budget, new leads, and paused ads for one client and one week. The report is a draft for the account manager's review before sending to the client.

Required inputs and access: Access to the ad account. The client name. The week start date and end date. The monthly budget figure from the contract, or the file name where the budget is stored. If the ad account app is not connected, the skill cannot run.

The sequence of work:

• One, pull all campaigns for the named client that were active at any point in the date range.
• Two, for each campaign, sum the spend in the date range.
• Three, compare total spend to the weekly budget, calculated as the monthly budget divided by four. If the monthly budget is in a file, read the file first. If the budget is not available, stop and report that the budget figure is required.
• Four, count new leads by campaign. A lead is new if the lead creation date falls in the date range.
• Five, list any campaigns that were paused during the date range. For each paused campaign, include the pause date and the reason if available in the ad account notes.
• Six, if the ad account returns an error or is unavailable, stop and report the error. Do not use cached data.
• Seven, format the results as a table with columns: campaign name, spend, new leads, status (active or paused), pause date if paused.
• Eight, calculate total spend across all campaigns and compare to the weekly budget. Calculate the percentage of budget spent.
• Nine, draft an email with a one-sentence summary at the top, for example: "This week you spent [X] percent of budget across [N] campaigns and generated [N] new leads." Include the table in the body, and a closing line inviting questions.
• Ten, do not send the email. Save it as a draft.

How to validate the result:

• Every campaign in the table must have been active at some point in the date range.
• The spend figure for each campaign must match the ad account total for that campaign in the date range.
• The weekly budget must be the monthly budget divided by four, or if a different calculation is specified, that calculation must be noted.
• The lead count for each campaign must include only leads created in the date range.
• Every paused campaign must have a pause date that falls in the date range.
• The email draft must not be sent.
• The email must include the date range, the budget figure used, and the ad account name.

What to return:

• A draft email with the table in the body.
• A one-sentence summary at the top.
• A note at the bottom listing the date range, the weekly budget figure used, the monthly budget source, and the ad account queried.
• A timestamp and time zone for when the report was generated.
• If any campaign data could not be retrieved, list those campaigns separately with a note.
• If the budget figure was not available, state that in the note and do not include a budget comparison.
• Do not send the email. Save it as a draft and include a link to the draft in the conversation.

What requires approval:

• Sending the email to the client requires approval.
• Posting the report to a shared channel requires approval.
• Pausing or activating a campaign requires approval.
• Changing the budget figure requires approval.
• The draft itself, and any internal review, does not require approval.

Generic Recipe Versus Bot-Specific Details

A skill is a generic recipe. Private skills are one library shared by all your Bots. A skill you save is available across your Bots, although a Bot may need the relevant app or login to use one. This means you should keep the method in the skill and keep secrets out of it.

Account names, sign-ins, credentials, API keys, and passwords belong in apps and Vault, not in the skill text. The skill should say "access to the ad account" or "access to the CRM," not the account username or API key. When you connect an app in the sidebar, the Bot can use it. Saved Vault logins are used without the Bot seeing the password, and the skill should name the access it needs, for example "the connected ad account app," never the secret itself.

Lasting personal preferences belong in a Bot's memory, not in the skill. If one Bot always formats dates as month-day-year and another Bot always formats dates as day-month-year, that preference lives in each Bot's memory. The skill should say "format dates according to the reviewer's preference" or "use the date format in memory," not hard-code one format.

Keep the skill portable. If you write a username and password typed straight into the instructions, the skill only works for you, only works with that account, and exposes the password to anyone who reads the skill. If you write "access to the ad account," the skill works for any Bot that has the ad account app connected, and the credentials stay secure.

Name the skill clearly. The name should describe the task, not the Bot. "Weekly Client Report" is clear. "John's Monday Task" is not. A clear name helps teammates recognize when the skill applies.

Write a description that says when the skill applies. The description is required before you can publish a skill, because teammates and their Bots use the description to decide when it applies. The description should include the trigger, the scope, and the output. Example: "Generates a draft weekly report for one client showing active campaigns, spend versus budget, new leads, and paused ads. Requires ad account access and the client name."

Saving the Skill

Once the task works and the result is reviewable, save the skill in the same conversation where it worked.

Ask the Bot to save the process. Example: "Save the process we just used as a skill called Weekly Client Report. Include the source systems, the output format, the validation steps, and the rule that sending the email requires approval."

The Bot will capture the steps, the decision rules, the expected output, and the safety boundaries from the conversation. Review the skill the Bot creates. Check that all six elements are present: when to use it, required inputs and access, the sequence of work, how to validate the result, what to return, and what requires approval. If anything is missing, tell the Bot to add it.

Once the skill is saved, ask for it by name in any conversation with any of your Bots. Example: "Run the Weekly Client Report skill for client ABC, week of March 3 to March 9." The Bot will follow the skill's instructions.

In chat you can use the @ symbol to mention Bots, groups, routines, and apps, for example to attach the app the skill needs to the request.

If a Bot cannot find a private skill, the fix is in Connect apps. Open Connect apps in the sidebar, select the connected count next to the title, and enable the skill for the current Bot under Private skills. The connected count is where you manage installed apps and private skills.

Some skills come packaged with apps. Connect apps is also where you discover and install supported apps and packaged skills, so check there before writing a skill from scratch.

Teach a task

When Teach a task is available, it offers a faster way to create a skill from a demonstration.

Open a one-to-one Bot conversation and its computer view. Look for Teach a task. Describe the result you are about to demonstrate. Perform the workflow once on your screen while recording. Stop recording and review the skill the Bot creates.

Teach a task records visible computer interaction for up to ten minutes. It does not record microphone audio. Avoid exposing secrets during the demo. If you need to log in or enter a credential, use the secure handoff flow for credentials instead of typing them during the demonstration. Do not type passwords or API keys while recording.

The learned skill is a draft. It captures the steps you demonstrated, but it may not capture decision rules, failure handling, or approval boundaries that were not obvious from one example. After the Bot creates the skill, add the missing elements: what should happen if the source is unavailable, what should happen if a field is empty, what requires approval, how to validate the result.

Test the learned skill on a safe example before scheduling it or sharing it. Run it on a second, different input and review the result. If the result is wrong, revise the skill rather than giving one-off corrections in chat.

Teach a task may be enabled gradually. If it is not visible in your Bot's computer view, ask the Bot to create a skill from written instructions and the completed task. Provide the six elements in your message: when to use it, required inputs and access, the sequence of work, how to validate the result, what to return, and what requires approval. The Bot will create the skill from your written instructions.

Test Before You Trust It

Do not schedule a skill, do not share a skill, and do not add a skill to a routine until you have tested it on a second, different, safe input.

Pick a different example. If you built the skill using client ABC and the week of March 3, test it on client DEF and the week of March 10. If you built the skill using last Friday's expenses, test it on the Friday before. If you built the skill using ten leads, test it on a different ten leads.

Run the skill and review the result against a checklist:

• Did the Bot select the current inputs, or did it reuse the inputs from the first example?
• Does the output meet the required format?
• Does every action have a source link or audit trail?
• Did the Bot stop at the approval point, or did it proceed without approval?
• Are failure states explicit? If a source was unavailable, did the Bot report the failure or guess?

If the result is wrong, do not pile on one-off corrections in chat. Revise the skill. Ask the Bot to update the skill with the missing decision rule or validation step, and test again. A skill is a reusable recipe. If you correct it once in chat, the next person who uses the skill will hit the same problem.

Test edge cases. What happens if the date range is empty? What happens if the client name is misspelled? What happens if the ad account is unavailable? What happens if the budget figure is missing? The skill should handle these cases explicitly, either by stopping and reporting the problem or by continuing with a clear note about what could not be completed.

Test on a safe scope. Do not test a skill that sends emails by sending real emails to real clients. Do not test a skill that deletes records by deleting real records. Use a test account, a test client, a test date range, or a draft mode. The skill should include a way to run it safely before running it for real.

From Skill to Routine

Only after the skill works on different inputs, and only after retries and failure cases are defined, turn the skill into a routine.

A routine tells one Bot when to run a workflow. The routine names the skill. Ask the owning Bot to create the routine. Confirm the owning Bot, the schedule and time zone, the input source, the expected result, the approval boundary, and what happens when a source is missing.

Example: "Every Monday at 8:00 AM Eastern, run the Weekly Client Report skill for each client in the active client list. Use the past seven days as the date range. If the ad account is unavailable, report the failure instead of using old data. Post the draft reports in this conversation for review. Do not send anything to clients."

Another example: "Every Friday at 5:00 PM Pacific, run the Expense Reconciliation skill for the past week. If the card provider is unavailable, stop and report the error. Do not use cached data. Post the reconciliation table in this conversation for review. Never post to a shared channel without approval."

Routines run in the cloud while your laptop is closed. A new routine waits for its next scheduled time. Use Test to run the routine now. Test performs real work, so use a safe scope.

Each routine run spends usage. Design for trust: automate preparation before execution, draft first, reconcile first, recommend first, require approval for sending, purchasing, deleting, publishing, or changing production systems. Include the no-data and stale-data policy in the skill. Make retries idempotent. State where to report partial completion. Re-test the routine after a website, app, or source format changes.

Sharing Skills with Your Team

If you belong to a team, publish a private skill so teammates can use it.

On desktop, open Connect apps in the sidebar, select the connected count next to the title, open the skill, and look for Publish in its header. If you belong to more than one team, choose the team under Publish to.

A skill needs a description before you can publish it. Teammates and their Bots use the description to decide when the skill applies. The description should include the trigger, the scope, the required inputs, and the output. Example: "Generates a draft weekly report for one client showing active campaigns, spend versus budget, new leads, and paused ads. Requires ad account access and the client name."

After you publish, the button reads Published. Its menu offers Sync, Copy link, and Unpublish. Use Sync to push later edits to the team's copy. Use Copy link to share a direct link to the skill. Use Unpublish to remove the skill from the team library.

If publishing is refused, check three things. First, you need to join a team before you can publish. Second, your team admin may have turned off publishing for members. Ask an admin to publish the skill for you. Third, skills that came with an app or with a Bot's template cannot be published.

Skills on a shared Bot work in every teammate's chat. When you create a Bot for your team, the apps, secrets, skills, and files its owner adds work in every teammate's conversation with that Bot. Before sharing a Bot, check its apps, secrets, skills, and files, since they work for everyone you share with. Only add keys and files you are happy for everyone on the team to use. Collaborators can chat with the shared Bot. Managers can also change its instructions, skills, memory, and apps. How shared Bots handle skills and secrets explains the Collaborator and Manager roles in detail.

Bot templates expose skills to anyone with a public link. When you share a Bot template, the recipient gets a copy of the Bot's identity, description, skills, and routines. They do not get your computer, your logins, or your conversation history. Before you publish a Bot template, remove API keys, internal URLs, and customer data from the skills and the Bot's description. A public link exposes the Bot's shared configuration, so strip secrets before sharing. Teams can keep template sharing team-only or turn it off. Our guide to rolling Grok Bot out to your whole team covers that setting alongside the other admin decisions.

Keeping a Skill Library Healthy

A skill library needs light maintenance. Here are practical suggestions, not requirements.

Assign ownership. Each skill should have one person responsible for keeping it current. If a skill breaks, the owner fixes it. If a source changes format, the owner updates the skill. If the skill is no longer needed, the owner retires it.

Use naming conventions. A clear name helps teammates recognize when a skill applies. Consider a prefix or suffix that groups related skills. Examples: "Weekly Client Report," "Weekly Expense Reconciliation," "Weekly Lead Triage." Or "Client Report - Weekly," "Expense Reconciliation - Weekly," "Lead Triage - Weekly." Pick one convention and stick with it.

Add a simple change note when you edit a skill. The note can live at the bottom of the skill description or in a separate change log. Example: "Updated March 15: added validation step for missing budget figure." A change note helps teammates understand what changed and why.

Use Sync after edits. If you have published a skill to your team, use Sync to push your edits to the team's copy. If you forget to sync, teammates will use the old version.

Re-test after a website, app, or source format changes. If your CRM changes its export format, if your ad account changes its API, if your inbox changes its folder structure, the skill may break. Re-test the skill with current data and update the steps if needed.

Retire duplicates. If two skills do the same task, pick one, update it, and retire the other. Duplicates create confusion and double the maintenance work.

Review skills on a regular cadence. Once a quarter, or once every six months, review the skill library. Which skills are still in use? Which skills are broken? Which skills are duplicates? Which skills need updated decision rules or approval lines? A short review keeps the library healthy.

Common Mistakes

Saving a Skill Before the Task Ever Worked

Do not write a skill from scratch. Do not imagine the steps and save them as a skill without ever running the task. Run the task once, correct it, make it reviewable, then save the skill. A skill saved before the task worked is a guess, not a recipe.

Skills That Are Really Just a Vague Prompt

A skill is not a vague prompt. "Help the user with client reports" is not a skill. A skill has six elements: when to use it, required inputs and access, the sequence of work, how to validate the result, what to return, and what requires approval. If the skill does not have all six, it is not a skill yet.

Missing Approval Line

Every skill should state what requires approval. If the task has no external actions, say so. If the task is purely informational, say so. If the task includes actions that require approval, list them. Do not assume the Bot will know. Do not assume the reviewer will catch it. State the approval line explicitly.

Secrets or Customer Data Inside the Skill

Do not put account names, sign-ins, credentials, API keys, passwords, customer names, customer email addresses, or customer data inside the skill text. Secrets belong in apps and Vault. Customer data belongs in your source systems. Saved Vault logins are used without the Bot seeing the password, and the skill should name the access it needs, for example "the connected ad account app," never the secret itself.

One Giant Skill That Does Five Jobs

Do not bundle five unrelated tasks into one skill. One skill, one task. If you have five tasks, write five skills. A giant skill is hard to test, hard to maintain, and hard to reuse. Break it into smaller skills, one per task.

No Failure Handling

Every skill should state what happens when a source is unavailable, when a field is empty, when a match is not found, when an API returns an error. If the skill does not handle failure cases, the Bot will guess, and the guess will be wrong. Add failure handling to the sequence of work.

Treating Memory as the Procedure

Memory is not a procedure. Memory holds lasting preferences, rules, facts, and a dated log. A skill is a full procedure: the sequence of work, the validation steps, the output format, the approval line. Do not rely on memory to hold the steps of a repeatable task. Write a skill.

Scheduling a Skill Nobody Tested

Do not create a routine until you have tested the skill on a second, different, safe input. A routine runs automatically, in the cloud, while your laptop is closed. If the skill is broken, the routine will run broken work every time. Test first, then schedule.

Publishing Without a Clear Description

A skill needs a description before you can publish it. The description is not optional. Teammates and their Bots use the description to decide when the skill applies. If the description is vague or missing, teammates will not know when to use the skill, and their Bots will not know either. Write a clear description that includes the trigger, the scope, the required inputs, and the output.

A Starter Plan for the First Few Weeks

Here is a practical plan to build your first skill library. Treat this as a suggestion, not a prescription.

Week one: Pick one task you repeat every week. Run it once with a safe scope. Correct until the result is reviewable. Save the skill. Test the skill on a second input. Revise if needed.

Week two: Pick a second task. Run it, correct it, save the skill, test it. Now you have two skills. Use both skills for one week without scheduling them. Ask for each skill by name when you need it. Confirm they work reliably.

Week three: Turn one skill into a routine. Test the routine with Test. Review the result. If the result is correct, let the routine run on its schedule for one week. Monitor the results.

Week four: Turn the second skill into a routine. Publish both skills to your team if you belong to a team. Ask one teammate to test each skill. Gather feedback. Revise the skills based on feedback.

Ongoing: Add one new skill every two weeks. Review your skill library once a quarter. Retire duplicates. Update skills when sources change format. Keep the library small and healthy rather than large and broken.

How SumoGrowth Labs Helps

SumoGrowth Labs is the AI implementation and consulting team. We help small and mid-size businesses and agencies turn repeatable tasks into tested, shareable skills.

We can map the tasks you repeat every week, identify which tasks deserve a skill, and write the first skills with your team. We can set approval lines, write decision rules and failure handling, and build a library structure that scales. We can train your team to write, test, and maintain skills on their own.

If you are ready to turn the tasks you repeat every week into reusable recipes, reach out. We will help you build a skill library your team can trust.

by Darius Gaynor