Kubeshark Installer
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
A skill your agent uses when working in a TeamClu app checkout, changing its build or start declaration, or preparing to publish an app.
$ npx skills add different-ai-studio/teamclu --skill deploy-app -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install different-ai-studio/teamclu deploy-app --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/different-ai-studio/teamclu.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/app/src/lib/skills/deploy-app .claude/skills/deploy-app && 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 "deploy-app" agent skill from https://github.com/different-ai-studio/teamclu/tree/main/packages/app/src/lib/skills/deploy-app into .claude/skills/deploy-app/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy-app", 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/different-ai-studio/teamclu/tree/main/packages/app/src/lib/skills/deploy-appType 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 different-ai-studio/teamclu --skill deploy-app -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install different-ai-studio/teamclu deploy-app --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/different-ai-studio/teamclu.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/app/src/lib/skills/deploy-app .agents/skills/deploy-app && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deploy-app" agent skill from https://github.com/different-ai-studio/teamclu/tree/main/packages/app/src/lib/skills/deploy-app into .agents/skills/deploy-app/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy-app", 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 different-ai-studio/teamclu --skill deploy-app -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install different-ai-studio/teamclu deploy-app --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/different-ai-studio/teamclu.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/app/src/lib/skills/deploy-app .cursor/skills/deploy-app && 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 "deploy-app" agent skill from https://github.com/different-ai-studio/teamclu/tree/main/packages/app/src/lib/skills/deploy-app into .cursor/skills/deploy-app/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy-app", 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/different-ai-studio/teamclu.git --path packages/app/src/lib/skills/deploy-app--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 different-ai-studio/teamclu --skill deploy-app -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install different-ai-studio/teamclu deploy-app --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/different-ai-studio/teamclu.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/app/src/lib/skills/deploy-app .gemini/skills/deploy-app && 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 "deploy-app" agent skill from https://github.com/different-ai-studio/teamclu/tree/main/packages/app/src/lib/skills/deploy-app into .gemini/skills/deploy-app/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy-app", 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 different-ai-studio/teamclu deploy-appInstalls 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 different-ai-studio/teamclu --skill deploy-app -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/different-ai-studio/teamclu.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/app/src/lib/skills/deploy-app .github/skills/deploy-app && 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 "deploy-app" agent skill from https://github.com/different-ai-studio/teamclu/tree/main/packages/app/src/lib/skills/deploy-app into .github/skills/deploy-app/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy-app", 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 different-ai-studio/teamclu --skill deploy-app -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install different-ai-studio/teamclu deploy-app --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/different-ai-studio/teamclu.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/app/src/lib/skills/deploy-app .opencode/skills/deploy-app && 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 "deploy-app" agent skill from https://github.com/different-ai-studio/teamclu/tree/main/packages/app/src/lib/skills/deploy-app into .opencode/skills/deploy-app/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy-app", 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.
deploy-appA skill your agent uses when working in a TeamClu app checkout, changing its build or start declaration, or preparing to publish an app.
Deploy App is an agent skill from different-ai-studio/teamclu. Use when working in a TeamClu app checkout, changing its build or start declaration, or preparing to publish an app.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Deployment. The repository describes itself as: TeamClu, AI Agent Desktop Workspace. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 8cd5e77. 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.
No scripts in the folder and no shell commands in SKILL.md.
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.
Deploy App loads about 1.3k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 746 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 different-ai-studio/teamclu at commit 8cd5e77, republished under its MIT licence (© different-ai-studio). 746 words, ~1,321 tokens.
.claude/skills/deploy-app/SKILL.md (or your agent's skills folder).The checkout declares the desired build and start behavior. The live deployment and regional capabilities are separate facts. Resolve both before making a deployment decision.
manage_app status for the selected app workspace. Read the current checkout declaration, live deployment, code revision, and source status. Treat the session snapshot as a hint only.manage_app runtime_info filtered to the app's language. Use the returned regional versions, image observations, layer availability, verification status, and source errors. For a new app, select a TeamClu-deployable candidate from current facts and write every required startup field explicitly. Provider availability alone does not establish TeamClu compatibility. Do not guess a version, path, layer, or compatibility from a template or another region. If discovery times out or is incomplete, keep that uncertainty visible; it does not authorize silently switching to a familiar runtime. A routine redeploy may retain a verified, pinned live configuration when catalog discovery is unavailable and there is no provider drift.linux/x86_64. Verify the declared output and entry exist, and that native dependencies target Linux/x86_64. The daemon's build response includes artifactVerification for the pinned revision: checked means the declared entry and recognizable native headers or local image metadata passed those checks; it does not prove the app starts. ZIP/JAR members are checked through EOF within fixed limits; nested, oversized, corrupt, or unreadable archives stay unknown. Tar and other compressed formats that the daemon cannot inspect also stay unknown. A wrong platform fails before archive upload or image push. unknown blocks automatic finalization; it names an opaque startup entry, unclassifiable native content, or unavailable image metadata. The desktop keeps the previous app live. Run an explicit test in the target Linux/x86_64 runtime before treating it as compatible. The current deploy path has no evidence override, so report the deployment as blocked rather than retrying or claiming it published. Keep build commands portable across selected machines.manage_app deploy; review its preflight's exact changes through the existing native approval. Do not bypass a rejected preview, drift, or approval. Deploy the pinned revision, then check manage_app status, the runtime configuration, live URL, health path, and changed behavior, including data/auth behavior when applicable. Report the revision and any verification limit.Custom environment, access, domain, data, files, and cron changes use their matching manage_app_* tools and the signed-in user's permissions. Never request or print secret values.
For TeamClu platform sign-in, organization roles, or protected pages and data endpoints, read the inherent app-auth skill before implementation. At release, verify its saved policies and report any auth acceptance limits.
Only when the user explicitly requests uninstalling a deployment, call manage_app undeploy with an explicit app ID or name and obtain its native confirmation. This stops new gateway requests and cleans the FC function, HTTP trigger, origin domain mapping, build artifact and any legacy login client. It retains the App, code repository, sessions, database, uploaded files, auth policy and scheduled-job definitions. It does not delete the App or archive its repository.
An accepted operation is not a completed uninstall. Read manage_app status until undeploy_operation.status is succeeded; report individual failed steps and retry only when the user requests it. An unknown provider outcome remains fenced for operator reconciliation: do not force a new deploy or bypass the lock. After successful uninstall, use the normal deployment flow to publish again, retaining the last successful configuration as history. Verify retained data and platform login after redeployment; report real-account verification as pending when unavailable.
© different-ai-studio, MIT. 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 packages/app/src/lib/skills/deploy-app of different-ai-studio/teamclu.
Open the folder on GitHubat commit 8cd5e77
Deploy App 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 |
|---|---|---|---|---|---|---|
| Deploy App this skilldifferent-ai-studio/teamclu | 167 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Kubeshark Installerkubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| KubeSphere ServiceMesh Managerkubesphere/kubesphere | 17k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Vercelremotion-dev/remotion | 63k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| AWS Cdk Developmentzxkane/aws-skills | 367 | 2 repos | ~2.5k | Automated safety check: Pass | MIT |
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
GreptimeTeam/greptimedb
Packages a locally built GreptimeDB debug binary into a development-only Docker image for local-cluster testing, with an optional push to a dev registry.
kubesphere/kubesphere
Installs, checks and troubleshoots the KubeSphere ServiceMesh extension (Istio, Kiali, Jaeger), including grayscale release, sidecar injection, topology and tracing issues.
remotion-dev/remotion
Set up a Codex monitor for Vercel deployments and preview URLs.
zxkane/aws-skills
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python.
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
different-ai-studio/teamclu
A skill your agent uses when implementing TeamClu platform sign-in, organization-role access, employee pages or protected data endpoints in an app, or changing its login permissions.
different-ai-studio/teamclu
Create a workspace role that follows the ROLE.md specification.
different-ai-studio/teamclu
生成图片:配图、插图、海报、头像、示意图、Logo 草稿、封面、banner。触发词:画一张、画个、生成图片、生成一张图、做张图、做个图、配图、出图、生图、AI 绘图、image、draw、illustration、poster。仅从零生成,不做已有图片的编辑或修改。
different-ai-studio/teamclu
Control macOS desktop applications: open/operate apps, click buttons, type text, scroll, keyboard shortcuts, window management, toggle options, dropdown selections, etc.
different-ai-studio/teamclu
A skill your agent uses when the user wants to fix a Sentry issue, auto-repair a bug from Sentry, or create a fix PR for a Sentry error.
different-ai-studio/teamclu
A skill your agent uses when the user wants to check Sentry issues, run a Sentry daily report, or monitor error trends.
Categories
A skill your agent uses when working in a TeamClu app checkout, changing its build or start declaration, or preparing to publish an app. Deploy App is an agent skill from different-ai-studio/teamclu. Use when working in a TeamClu app checkout, changing its build or start declaration, or preparing to publish an app.
Deploy App fits situations like: working in a TeamClu app checkout; changing its build; start declaration; preparing to publish an app.
Run `npx skills add different-ai-studio/teamclu --skill deploy-app -a claude-code`. Or copy the skill folder (packages/app/src/lib/skills/deploy-app in different-ai-studio/teamclu) into .claude/skills/deploy-app in your project. Claude Code loads it when a task matches its description.
Run `npx skills add different-ai-studio/teamclu --skill deploy-app -a codex`. Or copy the skill folder (packages/app/src/lib/skills/deploy-app in different-ai-studio/teamclu) into .agents/skills/deploy-app 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 different-ai-studio/teamclu --skill deploy-app -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deploy-app, .gemini/skills/deploy-app, .github/skills/deploy-app and .opencode/skills/deploy-app in your project.
SKILL.md names no scripts, command-line tools or credentials: Deploy App is instructions for the agent only.
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. Review the folder before installing.
Deploy App is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.3k 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 Deploy App: Kubeshark Installer (kubeshark/kubeshark, 12k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars) and Vercel (remotion-dev/remotion, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
different-ai-studio (a GitHub organization) maintains it in different-ai-studio/teamclu, which has 167 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 9, 2026.
Source: different-ai-studio/teamclu on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.