Agent skill

Manage Cloud Env

by Mentra-Community in Mentra-Community/MentraOS

Add or change backend deployment environment variables through Doppler shared configs and native Porter syncs.

Apache-2.0Auto-check passedDevOps & Cloud

Install Manage Cloud Env

skills CLI
$ npx skills add Mentra-Community/MentraOS --skill manage-cloud-env -a claude-code

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

GitHub CLI
$ gh skill install Mentra-Community/MentraOS manage-cloud-env --agent claude-code

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

Manual copy
$ git clone --depth 1 https://github.com/Mentra-Community/MentraOS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/manage-cloud-env .claude/skills/manage-cloud-env && rm -rf skills-src

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

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

Facts

Skill name
manage-cloud-env
GitHub stars
2.4k
Token cost
~2.3k tokens
SKILL.md length
1,158 words
Files
2
Skills in repo
11
Repo updated
First seen
Licence
Apache-2.0

At a glance

Add or change backend deployment environment variables through Doppler shared configs and native Porter syncs.

  • Works in 4 steps: Trace the feature's backend and owning… → Find the Porter app, project, cluster,… → Read the Doppler/Porter runbook → …
  • Implementing features that require keys
  • SKILL.md covers Find the actual deployment and…, Choose shared or…, Add the key and establish the… and Verify the deployed result, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Manage Cloud Env is an agent skill from Mentra-Community/MentraOS. Add or change backend deployment environment variables through Doppler shared configs and native Porter syncs. Use when implementing features that require keys, onboarding cloud or miniapp deployments, or repairing deployment configuration drift.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in DevOps & Cloud, covering Deployment and Secrets management. 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.

When your agent uses it

  • Implementing features that require keys
  • Onboarding cloud
  • Miniapp deployments
  • Repairing deployment configuration drift

Example prompts

  • “/manage-cloud-env”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Trace the feature's backend and owning repository. Read its deployment files
  2. Find the Porter app, project, cluster, deployment target, linked environment
  3. Read the Doppler/Porter runbook
  4. Use supported CLIs/APIs. Check available credentials and authentication helpers,

What it can do on your machine

Read from SKILL.md and the folder at commit ef49574. It shows what the files ask for, not the result of running them.

  • Tool permissions

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

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

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

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.doppler.com

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Manage Cloud Env loads about 2.3k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 1,158 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

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

Safety

Auto-check passed

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

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

SKILL.md

The full file from Mentra-Community/MentraOS at commit ef49574, republished under its Apache-2.0 licence (© Mentra-Community). 1,158 words, ~2,288 tokens.

Download SKILL.mdSave it as .claude/skills/manage-cloud-env/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
manage-cloud-env
description
Add or change backend deployment environment variables through Doppler shared configs and native Porter syncs. Use when implementing features that require keys, onboarding cloud or miniapp deployments, or repairing deployment configuration drift.

Manage cloud environment variables

Make Doppler the source of truth for backend application secrets and settings. Prefer shared inheritance whenever a setting does not need to vary by environment. Apply this workflow while implementing a feature that needs a key, not just when the user explicitly mentions Doppler. It also applies to first-party miniapps in external repositories.

Do not put backend credentials in a miniapp ZIP, mobile bundle, source code, Porter YAML, GitHub application-secret bundle, or manual Porter environment group. Client-visible public configuration is a separate concern: confirm the consumer and credential type before exposing a value to a client. Listening ports, resources, domains, deployment commands, platform-generated variables, and the scoped Doppler integration credential remain Porter's responsibility.

Find the actual deployment and configuration

  1. Trace the feature's backend and owning repository. Read its deployment files and environment validation so the key name and consumer are established.
  2. Find the Porter app, project, cluster, deployment target, linked environment group, and the group's actual Doppler project/config. Never infer the target from the CLI default, hostname, or an app name containing dev.
  3. Read the Doppler/Porter runbook and managed deployment contract. Reconcile the relevant entry with live configuration before writing. Cloud's deployed dev config is cloud-v2/dev_aws; its dev root contains local settings.
  4. Use supported CLIs/APIs. Check available credentials and authentication helpers, including relevant variable names in ~/.zshrc, without printing values. Capture Doppler downloads and Porter exports privately; emit only key names, missing/present status, and equality checks. Do not log service tokens or authenticated URLs, including through command failure output.

Choose shared or environment-specific storage

Use an inheritable shared config in the owning Doppler project by default. Reuse an existing suitable parent rather than creating another source for the same value. Cross-project inheritance is useful for intentionally shared provider credentials, but do not give an app every unrelated project's secrets.

SettingPlacement
Provider credentials/settings usable by all intended environmentsShared parent
Database destination, storage bucket, callback URL, public backend URL, environment nameEnvironment child
Credential that must differ for account, permissions, resource access, or isolationEnvironment child; record the reason

Examples of shared candidates include Soniox, ElevenLabs, Resend, Mapbox, Cloudflare Stream, R2 credentials/endpoints, and ACS. Check each credential's permissions, resource scope, and intended shared usage. R2 credentials can be shared while bucket names remain distinct. Different existing token strings alone do not prove an environment-specific requirement. Do not collapse deliberately separate auth, database, provider accounts, or sandbox/payment environments.

For an existing deployment, seed shared values from the current working production configuration when available. Compare Doppler, the linked Porter group, and effective process values privately so an old override cannot mask a bad source value. Preserve production credentials; do not rotate them as part of an inheritance migration. For a new service without production values, use the approved provider credential and put it directly in the shared parent when suitable.

Inheritance includes all parent keys; achieve a subset by keeping only common settings in the parent. Child copies take precedence. Adding another copied value to every environment is not inheritance. Check availability: Config Inheritance requires a supported Doppler plan and must be enabled for the parent. If it is unavailable, report that limitation; do not silently substitute Porter overrides.

Show full SKILL.md (623 more words)Show less

Add the key and establish the native connection

  • Healthy existing connection: write the key to its appropriate Doppler parent or child. Leave the Porter app attached to the environment's child config; do not point it directly at the incomplete shared parent.
  • Broken existing connection: repair and verify the native Doppler sync, then write the key. A disconnected integration is not a reason to duplicate keys in Porter. Follow the runbook's scoped service-token and operator-refresh procedure.
  • No associated Doppler project/connection: create the owning Doppler project, a dedicated shared parent, and the deployment child config. Do this even for a miniapp with only one environment. Populate required environment-specific settings in the child, enable inheritance, and create/attach a native Porter Doppler group using a read-only service token scoped to that child. For an already-running app, preserve and verify its effective values before replacing its configuration sources. Update the managed deployment contract and owning deployment files as applicable.

The CLI supports creating a dedicated shared environment/root config and enabling inheritance. Use explicit verified identifiers, preserve existing inheritance, and check current CLI help before running these example operations:

bash
doppler environments create 'Shared provider credentials' shared --project PROJECT
doppler configs update --project PROJECT --config shared --inheritable=true --yes
doppler configs update --project PROJECT --config CHILD --inherits PROJECT.shared --yes

--inherits replaces the inheritance list: include existing parents in the intended precedence order. Populate shared values before attaching consumers. Write secrets through private structured API bodies or a supported private input path, keeping values out of shell arguments, logs, and tracked files.

When migrating existing copies, save recoverable previous values/configuration, attach the parent first, verify the resolved child config, then remove only the selected child copies. Re-read the complete resolved config: only intended values may change. Branch configs can also inherit root values; verify actual resolution instead of assuming that deleting a branch copy removes the key altogether. Keep a rollback path until the affected behavior is verified.

A shared-parent edit affects every current inheritor. Inspect those consumers before changing an existing shared value. Respect the user's authorized rollout scope. For staged migrations, do dev first, wait for the requested confirmation, then staging, then production; production's resolved values must remain identical when the change only moves storage into inheritance. Do not migrate other environments or restart deliberately stopped apps as a side effect of a feature.

Verify the deployed result

Verify the intended SecretStore and ExternalSecret are Ready=True and have an advancing, recent successful refresh. Privately compare the linked group's values with the resolved Doppler config. Then verify running process values; environment variables are startup snapshots. If a rollout is needed, use the owning deployment workflow and preserve the current image/topology for a configuration-only change.

Check backend readiness and the affected provider operation. Do not treat an old green deploy, a successful secret write, or a refreshed group as proof that the feature works. Report the actual project/config, parent, key names, rollout scope, completed checks, and any remaining user test. Never report secret values.

Use the existing deployment source guard and scoped read-only health checks where applicable; do not disable them to accommodate a manual override. Update the managed contract when a new app, config/group mapping, or required key is introduced.

Porter overrides are the last resort

Before considering any override, check the correct Doppler project, config, inheritance, sync credential, linked group, and refresh status. A missing project, missing key, stale process, or repairable sync must be addressed through the paths above. Do not use porter env set to bypass that work or resurrect the retired manual-mirroring scripts.

Only use a temporary application override when the user explicitly requests that exception or has already authorized it for a demonstrated blocker with no supported Doppler path. Explain the blocker, affected keys/environment, and cleanup/rollback plan. Existing source guards still apply; do not bypass them. Keep Doppler as the authoritative destination and remove the exception after verifying native sync.

Reference: Doppler Config Inheritance.

© 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

Files

SKILL.md and 1 other file in .agents/skills/manage-cloud-env of Mentra-Community/MentraOS.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit ef49574

Compare with similar skills

Manage Cloud Env 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.

Manage Cloud Env compared with similar skills
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Manage Cloud Env this skillMentra-Community/MentraOS2.4k—~2.3kAutomated safety check: PassApache-2.0
LangBot Deployment Guidelangbot-app/LangBot18k—~1.2kAutomated safety check: NotesApache-2.0
Azure Bicep Skilltimothywarner-org/claude-code224—~2.9kAutomated safety check: PassMIT
Monstermq Broker Configvogler75/monster-mq143—~2.2kAutomated safety check: PassGPL-3.0
Deploymentmatrixorigin/memoria609—~1.6kAutomated safety check: NotesApache-2.0
Letta Configurationletta-ai/skills149—~1.3kAutomated safety check: NotesMIT

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Categories

Questions about Manage Cloud Env

What does Manage Cloud Env do?

Add or change backend deployment environment variables through Doppler shared configs and native Porter syncs. Manage Cloud Env is an agent skill from Mentra-Community/MentraOS. Add or change backend deployment environment variables through Doppler shared configs and native Porter syncs.

When should I use Manage Cloud Env?

Manage Cloud Env fits situations like: implementing features that require keys; onboarding cloud; miniapp deployments; repairing deployment configuration drift.

How do I install Manage Cloud Env in Claude Code?

Run `npx skills add Mentra-Community/MentraOS --skill manage-cloud-env -a claude-code`. Or copy the skill folder (.agents/skills/manage-cloud-env in Mentra-Community/MentraOS) into .claude/skills/manage-cloud-env in your project. Claude Code loads it when a task matches its description.

How do I install Manage Cloud Env in Codex?

Run `npx skills add Mentra-Community/MentraOS --skill manage-cloud-env -a codex`. Or copy the skill folder (.agents/skills/manage-cloud-env in Mentra-Community/MentraOS) into .agents/skills/manage-cloud-env in your project. Codex loads it when a task matches its description.

Can I use Manage Cloud Env in Cursor, Gemini CLI or GitHub Copilot?

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

What does Manage Cloud Env need to run?

SKILL.md names no scripts, command-line tools or credentials: Manage Cloud Env is instructions for the agent only.

Does Manage Cloud Env access the network?

SKILL.md names 1 domain. As links in the text: docs.doppler.com. This is read from the text; nothing was executed.

Is Manage Cloud Env safe to install?

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

What licence does Manage Cloud Env use?

Manage Cloud Env 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.

How many tokens does Manage Cloud Env use?

About 2.3k tokens (SKILL.md is roughly 9.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Manage Cloud Env?

Skills that share tags, products or a category with Manage Cloud Env: LangBot Deployment Guide (langbot-app/LangBot, 18k stars), Azure Bicep Skill (timothywarner-org/claude-code, 224 stars), Monstermq Broker Config (vogler75/monster-mq, 143 stars) and Deployment (matrixorigin/memoria, 609 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Manage Cloud Env?

Mentra-Community (a GitHub organization) maintains it in Mentra-Community/MentraOS, which has 2,380 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 9, 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.