Autom Automation
ComposioHQ/awesome-claude-skills
Automate Autom tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
Create, edit or port a Mentra automated testing routine with English requirements, saved actions verified during authoring, and deterministic replay through the shared framework.
$ npx skills add Mentra-Community/MentraOS --skill create-routine -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Mentra-Community/MentraOS create-routine --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/Mentra-Community/MentraOS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/create-routine .claude/skills/create-routine && 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 "create-routine" agent skill from https://github.com/Mentra-Community/MentraOS/tree/dev/.agents/skills/create-routine into .claude/skills/create-routine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-routine", 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/Mentra-Community/MentraOS/tree/dev/.agents/skills/create-routineType 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 Mentra-Community/MentraOS --skill create-routine -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Mentra-Community/MentraOS create-routine --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mentra-Community/MentraOS.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/create-routine .agents/skills/create-routine && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "create-routine" agent skill from https://github.com/Mentra-Community/MentraOS/tree/dev/.agents/skills/create-routine into .agents/skills/create-routine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-routine", 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 Mentra-Community/MentraOS --skill create-routine -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Mentra-Community/MentraOS create-routine --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mentra-Community/MentraOS.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/create-routine .cursor/skills/create-routine && 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 "create-routine" agent skill from https://github.com/Mentra-Community/MentraOS/tree/dev/.agents/skills/create-routine into .cursor/skills/create-routine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-routine", 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/Mentra-Community/MentraOS.git --path .agents/skills/create-routine--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 Mentra-Community/MentraOS --skill create-routine -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Mentra-Community/MentraOS create-routine --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mentra-Community/MentraOS.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/create-routine .gemini/skills/create-routine && 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 "create-routine" agent skill from https://github.com/Mentra-Community/MentraOS/tree/dev/.agents/skills/create-routine into .gemini/skills/create-routine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-routine", 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 Mentra-Community/MentraOS create-routineInstalls 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 Mentra-Community/MentraOS --skill create-routine -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Mentra-Community/MentraOS.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/create-routine .github/skills/create-routine && 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 "create-routine" agent skill from https://github.com/Mentra-Community/MentraOS/tree/dev/.agents/skills/create-routine into .github/skills/create-routine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-routine", 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 Mentra-Community/MentraOS --skill create-routine -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Mentra-Community/MentraOS create-routine --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mentra-Community/MentraOS.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/create-routine .opencode/skills/create-routine && 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 "create-routine" agent skill from https://github.com/Mentra-Community/MentraOS/tree/dev/.agents/skills/create-routine into .opencode/skills/create-routine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-routine", 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.
create-routineCreate, edit or port a Mentra automated testing routine with English requirements, saved actions verified during authoring, and deterministic replay through the shared framework.
Create Routine is an agent skill from Mentra-Community/MentraOS. Create, edit or port a Mentra automated testing routine with English requirements, saved actions verified during authoring, and deterministic replay through the shared framework. To request routine runs or authoring from a PR, use select-pr-routines instead.
Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: MentraOS is the leading smart glasses OS. See live captions, stream your view, talk to AI, and capture photos hands-free on compatible glasses. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit d6aeaeb. 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.
Shell commands in SKILL.md call:
bunFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom 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.
Create Routine loads about 4.4k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 2,233 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); files beside SKILL.md are not scanned.
The full file from Mentra-Community/MentraOS at commit d6aeaeb, republished under its Apache-2.0 licence (© Mentra-Community). 2,233 words, ~4,438 tokens.
.claude/skills/create-routine/SKILL.md (or your agent's skills folder).Routines should be fast, reliable and easy to create or edit. Keep English instructions, observable expectations and executable actions together in the private Mentra-Automated-Testing repository. Read its porting guide when migrating old coverage; it links the deleted source and explains what to reuse.
Inspect the selected harness revision's routines/, framework/ and controller
schemas. Start from the closest routine for the platform and glasses. Preserve
proven product actions and fixtures; replace old executor/ownership wrappers.
| Location | Responsibility |
|---|---|
routines/<id>/routine.ts | Export createRoutine(state) using defineRoutine and step; English metadata, product setup/steps/teardown and fixtures |
framework/drivers/ | Shared interactions and recorded observations; Mac uses executeMacStep(action, context) with the supplied context.ui |
framework/platforms/, framework/glasses/ | Composed platform and glasses lifecycle providers |
framework/authoring/, orchestration/ | Held sessions, jobs, lane ownership, repair and publication |
Declare platforms, entry (home or sign-in), account, requirements, fixtures,
stable ordered step IDs, glasses.models and required capability IDs in requires.
Keep device identities, secrets and tool paths in private lane configuration.
Confirm the installed lane offers those capabilities. Add a reusable provider once
for missing shared functionality; do not hide host setup in product steps.
Preflight the complete fixture contract before reserving hardware. Check tool roles,
not just executable hashes: the Mac UI driver and app launcher are distinct pins.
When a capability is missing, assign its shared provider work separately and use
the other lane or already installed routines while it is built.
No routine-name branches in workers, dispatch or catalog, and no hardcoded videos:
source enrollment discovers definitions; published passing runs supply examples.
Start through the built-in machine routine-work create/edit job described in the
harness job guide
and assigned-agent skill.
The supervisor owns the workspace, machine agent, reservation and held session.
The following are inner operations for that assigned agent, using its provisioned
MENTRA_TEST_CLIENT_CONFIG and the current mentra-test CLI; they are not a
parallel coordinator authoring path:
bun run mentra-test lane request @reservation.json
bun run mentra-test lane wait @wait.json
bun run mentra-test author start @start.json
bun run mentra-test author command @command.json
bun run mentra-test author inspect @scope.json
bun run mentra-test lane give-back @give-back.jsonRead harness orchestration/README.md, orchestration/controller.ts and
framework/authoring/session.ts for current schemas and held-session behavior;
contracts/controller.ts defines admission. Run the CLI from the harness checkout,
not MentraOS. Do not invent IDs or use an old standalone author CLI.
Use ControllerClient/these service endpoints for controller mutations, including
diagnostic attachments. Never open ControllerStore against the live database to
register evidence, change ownership or manufacture cleanup receipts. Read-only SQL
can help inspect state; a missing public operation is framework work to assign.
Reservation request supplies requestId, laneId, purpose, admissionExpiresAt.
Wait with {reservationId, afterGeneration, timeoutMs} until granted. Start supplies
the granted reservationId, generation, a stable operationId, selected build
and canonical editable sourcePath. Default start performs setup and starts the
original recorder; optional setupMode: "manual" exposes individual lifecycle actions.
Each author command carries {reservationId, generation, operationId, command}.
Nested commands use op: steps, snapshot, step with stepId, actions with
phase: "setup" | "test" | "teardown", action with setup/teardown phase and
actionId, or finish. Use returned IDs and inspect {reservationId, generation}
until each operation settles; a settled operation may contain a failed assertion.
Use a new operation ID for each action; a lost response reuses its original ID to
reconcile that call. Direct driver calls must retain the supplied owned context.
For example, the inner product command is { "op": "step", "stepId": "saved-id" },
inside command, not a separate CLI verb.
Declare the complete flow before starting. Use computer use to discover controls,
save each action and assertion, then execute that saved action through the same
driver/helper replay will use. Traverse the whole English flow this way: a manual
click does not prove a different script written afterward. Prefer the simplest
supported interaction that works; verify outcomes rather than successful clicks.
Complete every saved product step and normal teardown before ordinary replay.
A partially successful held traversal or expired recording is not that boundary.
On a settled step failure, inspect the actual error, edit that existing action and
retry with a concrete retryReason from its current safe prerequisite state. Keep
the same owner, recorder and passing prefix; do not reinstall or restart setup for
an ordinary authoring mistake. Do not repeat an uncertain submission/firmware write.
If returning to a prerequisite needs an already passed product action, inspect
{op: "actions", phase: "test"} for eligibility and repeat that same saved action
with an explicit retryReason describing the observed prerequisite. The controller
must confirm its previous input settled; a source reload alone permits no repeat.
For a completed navigation tap, wait for its observable destination before the
next input. A delivered-but-rejected tap keeps its intent: reconcile the resulting
page without tapping again. Keep those checks in the same saved action for replay.
The held loader preserves createRoutine(state) state and original lifecycle while
reloading existing product steps. Changing step IDs/order, lifecycle callbacks or
metadata requires finishing the session first. Shared helper/native changes require
the updated installed revision and a fresh session. Fix a broken app control rather
than accumulating alternate input or focus algorithms.
Prepare and compile changed shared source off hardware while other work uses the
lanes. Once affected owners release, activate one frozen candidate; local iteration
may use reviewed source before merge while retaining the PR's review/CI merge gates.
Check the installed recorder's duration, byte limit and output allowance before a
long flow, including held editing and accepted operation settlement; step deadlines
do not extend capture. A Mac fixture with a recorded
browser window declares external-window with fixture-data and uses the shared
admitted policy for both recordings. A product update can continue after a recorder
or client deadline; inspect that original operation and settle it normally rather
than issuing another update or restarting the passing prefix.
Request authoring reservations before waiting for the current run to finish, so
the next queued job does not repeatedly displace ready authoring work.
Before ordinary dispatch, confirm the installed executor source and enrolled
definition revision agree; frozen requests do not change during a service upgrade.
Enroll the intended source before submitting new work. A stale local request that
never launched can be cancelled normally with a reason, then replaced with the
same saved actions on the intended source. Preserve launched/nightly requests.
Publish startup failures through normal evidence delivery without replay; inspect
the exact export error when publication stalls rather than repeating the test.
For UI transitions, verify the departing overlay disappears as well as the
new page appears. Home controls can remain visible behind a miniapp. Use bounded
postcondition observation; an acknowledged click is not a completed transition.
Inspect current controls rather than copying old labels blindly: Android's radio
icon can toggle while its label opens details, and an empty miniapp switcher opener
can remain present on idle Home. Require the actual state before sending input.
Before hardware, compare the old saved selector with the selected build's current
component. Several URL editors can coexist: preserve OTA's specific manifest
placeholder instead of selecting any editable field. After an uncertain typing
response, observe the exact requested value before clearing or typing again;
the empty placeholder disappears when input succeeded. Keep that observation
in the same saved action, not a separate replay technique.
Static headings may appear twice on a platform: require readable content, and use
exact IDs/counts for the actionable controls that must be unique.
On Android, use the supplied ui.scroll(anchor, direction) for a bounded gesture
inside the observed scroll view, then resnapshot. Check checked for toggles rather
than assuming a click changed them; public text replacement uses clearText before
type. Use hideKeyboard for the actual IME. The optional systemUi retains the
same ownership and permits only the enrolled system-dialog namespaces; normal ui
remains scoped to the Mentra App.
Reuse observations, not assumptions. Android can repeat a radio label on its
parent and text child; count actual checkable controls. A tall option group can
span viewports: accumulate all known checked/unchecked states under the same
foreground group, reject contradictions and scroll toward an unobserved option.
Validate visible preconditions again in the driver's final input-planning snapshot.
After one acknowledged tap, observe its resulting state; don't repeat input because
a receipt write or screenshot failed. Retain an answered-input flag before later
assertions so a settled held retry continues observation rather than toggling again.
Keep a failing native command's bounded original error/cause in diagnostics before iterating. Compare its failed expectation with the original AX/XML and recording: an observed offer with a different label is a selector mismatch, not proof the offer needs more time. Correct the saved observation in the held state first. If original diagnostics would be disposed when an authoring reservation returns, preserve their bounded safe failure summary in the existing operation receipt first. Distinguish an empty successful trace from a malformed/failed read; do not repeat setup merely to guess the missing cause. Compare a failed HTTP probe with the app's actual request contract before calling it a server outage. A missing positive log reply is an observation gap, not proof the product action failed. Use the assigned phone's current-process trace for BLE replies when camera logs flood the glasses' short tail. Reconcile the original request instead of resending it. For cleanup-only corrections, select the reviewed provider source through the public repair API while retaining the original resource/fixture inputs; a new checkout alone does not change the implementation used by repair. When a framework callback times out, retain its original operation/call identity, deadline and bounded queue/start/finish/send facts through existing diagnostics. A successful earlier snapshot does not prove callback settlement. Fill a diagnostic gap before another expensive reproduction; exclude callback inputs and credentials. For an apparent hosted recording fault, compare the same run's exact asset hash and decoded frame at the saved timestamp with its screenshot before changing native capture. The coordinator owns browser playback/seek diagnosis.
For audio coverage, read the harness framework/audio/witness.md and current
browser service reference before adding helpers. The optional native witness uses
the existing audio grant: await actual capture readiness before the stimulus and
evaluate completed pinned PCM. Keep challenge words/assertions in the routine;
shared providers own exact device routes, children and guarded mute restoration.
Browser device options require actual selected state, and RTP counters alone do
not prove heard speech. Preserve sequential speech/mute-control coverage without
claiming simultaneous duplex. Missing configured endpoints/tools are a precise
prerequisite to coordinate, not reason to revive an old reservation or runner.
Flag actual bugs and impossible/human-only requirements with the exact failed step.
Routine code does not repair the harness. Finish runs the original teardown; then
give back with {reservationId, generation, requestId} for ordinary boundary cleanup.
Shared providers install the selected Mentra App, establish requested account/entry,
prepare applicable glasses/fixtures, record, settle resources and uninstall the owned
app. Routine setup/teardown own only product-specific effects. Inspect the current miniapp's persistence before porting old teardown: app-local
SimpleStorage is removed with shared app data, while backend fixtures need their
own exact owned-ID cleanup. Uninstall does not delete cloud data. Cleanup must
not wait for a product effect that failed to be created.
Use the supplied account context (account on Mac, credentials() on Android)
and optional audio or fixtures when the installed platform supports them.
Routine fixture content stays in routines/<id>/; reusable
capture/connection/audio and platform delivery belong to shared providers. Do not
copy another lane's serial, account, audio route or firmware setup into the routine.
To try a modified miniapp, build/pack it in its source repo, then from MentraOS run
bun scripts/load-authoring-miniapp.mjs <packed.zip> --mac (set MENTRA_MAC_APP)
or --android <phone-serial>. The installed app needs existing Super Mode and miniapp
permissions. Keep the temporary server until loading completes, verify the changed
saved step, then stop it. See the miniapp CLI guide.
After the full saved flow works, commit/enroll its exact source and replay the same actions through normal setup/test/teardown:
bun run mentra-test source enroll @source-enrollment.json
bun run mentra-test run submit @run-request.json
bun run mentra-test run dispatch-once '{"id":"ACCEPTED_LOCAL_REQUEST_ID"}'
bun run mentra-test run inspect '{"id":"ACCEPTED_LOCAL_REQUEST_ID"}'Use enrollRoutine/platform enrollment and localAdmissionId helpers for source
provenance and local admission. Activate a changed shared framework/native revision
only after affected held sessions and runs have finished; do not replace their pinned
source under active owners. Ordinary replay stops at its first failed product
step, preserves remaining steps as not-run and still tears down; other runs stay
independent. Preserve the original error if cleanup/publication also fails.
Completion needs passing assertions, teardown, acknowledged evidence and working
recording/step seeking. A composite fixture must preserve evidence errors returned
by its shared providers even when their physical cleanup succeeded. Bound the
whole recorded observation to its declared timeout; polling must not consume a
bounded event journal by writing a marker on every read. Do lengthy external fixture
preparation before entering the browser observation deadline, retaining its declared
app/resource operation budget. A preparation refusal before input can use the
existing original-owner settlement API only when it proves zero dispatch and
unchanged idle state; unknown or answered inputs remain retained.
Settle active media before changing its route. After media is settled, attempt
independent cleanup of browser evidence, clipboard, receiver and network resources
even if one fails; preserve the first error and subsequent failures. The coordinator
owns deployed Admin/playback verification.
Report exact source/build/platform, result URL, recording and timings. Do not add
repeated qualification runs without changed code or unresolved failures.
run retry-publication retries delivery without hardware replay. Dispose owned local
payloads after acknowledgement; preserve shared tools and native Codex/Claude history.
Keep frozen execution evidence immutable; late boundary/repair observations use
their own existing operation diagnostics. Check new exports against the installed
publisher's asset-count and envelope-size bounds before freezing. A rejected old
export stays unchanged for normal delivery retry after its owning contract is fixed;
do not filter attachments or fabricate acknowledgements to obtain a pass.
Use focused checks and codex-pr-review for the PR;
select-pr-routines selects relevant coverage labels.
© Mentra-Community, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/create-routine of Mentra-Community/MentraOS.
Open the folder on GitHubat commit d6aeaeb
Create Routine 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 |
|---|---|---|---|---|---|---|
| Create Routine this skillMentra-Community/MentraOS | 2.4k | — | ~4.4k | Automated safety check: Pass | Apache-2.0 | |
| Autom AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~723 | Automated safety check: Pass | None | |
| Doppler Marketing Automation AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~809 | Automated safety check: Pass | None | |
| Suggest Automationsn8n-io/n8n | 207k | — | ~2k | Automated safety check: Pass | Custom licence | |
| Aero Workflow AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~753 | Automated safety check: Pass | None | |
| Anchor Browser AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~757 | Automated safety check: Pass | None |
ComposioHQ/awesome-claude-skills
Automate Autom tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
ComposioHQ/awesome-claude-skills
Automate Doppler Marketing Automation tasks via Rube MCP (Composio).
n8n-io/n8n
Offer the three most common automations for a user as a single-choice card, from your own knowledge of their team and their apps, then build the one they choose once they confirm, or offer more.
ComposioHQ/awesome-claude-skills
Automate Aero Workflow tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
ComposioHQ/awesome-claude-skills
Automate Anchor Browser tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
github/awesome-copilot
Analyze a screen recording of a manual process and produce targeted, working automation scripts.
Mentra-Community/MentraOS
Update MentraOS firmwarelive.json from the published BES and MTK feeds and prepare a PR, preserving production MTK upgrade paths.
Mentra-Community/MentraOS
Triage failing GitHub PR checks: list failures with gh, fetch capped Actions logs, skip non-Actions checks, and summarize root cause.
Mentra-Community/MentraOS
Run an independent local Codex (gpt-6.1-sol, medium) review of a GitHub pull request and relay its verdict.
Mentra-Community/MentraOS
Diagnose an ongoing or finished Mentra nightly suite, group demonstrated shared failures, implement fixes, and carry PRs through independent Codex review and merge.
Mentra-Community/MentraOS
Prepare an external Mentra miniapp for bundling into mobile/assets/miniapps (version bump, pack, zip install, regenerate bundledMiniapps).
Mentra-Community/MentraOS
Fix an assigned Mentra automated routine failure from recorded evidence, on its originating branch, and iterate independent Codex reviews and exact-build routine reruns until verified.
Create, edit or port a Mentra automated testing routine with English requirements, saved actions verified during authoring, and deterministic replay through the shared framework. Create Routine is an agent skill from Mentra-Community/MentraOS. Create, edit or port a Mentra automated testing routine with English requirements, saved actions verified during authoring, and deterministic replay through the shared framework.
Run `npx skills add Mentra-Community/MentraOS --skill create-routine -a claude-code`. Or copy the skill folder (.agents/skills/create-routine in Mentra-Community/MentraOS) into .claude/skills/create-routine in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Mentra-Community/MentraOS --skill create-routine -a codex`. Or copy the skill folder (.agents/skills/create-routine in Mentra-Community/MentraOS) into .agents/skills/create-routine 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 Mentra-Community/MentraOS --skill create-routine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-routine, .gemini/skills/create-routine, .github/skills/create-routine and .opencode/skills/create-routine in your project.
Going by SKILL.md and its folder, Create Routine needs the command-line tools its instructions call (bun).
SKILL.md names 1 domain. As links in the text: github.com. 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. Review the folder before installing.
Create Routine is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Create Routine: Autom Automation (ComposioHQ/awesome-claude-skills, 77k stars), Doppler Marketing Automation Automation (ComposioHQ/awesome-claude-skills, 77k stars), Suggest Automations (n8n-io/n8n, 207k stars) and Aero Workflow Automation (ComposioHQ/awesome-claude-skills, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Mentra-Community (a GitHub organization) maintains it in Mentra-Community/MentraOS, which has 2,379 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 8, 2026.
Source: Mentra-Community/MentraOS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.