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 you need maximum precision on a critical task — production deployments, security-sensitive code, financial calculations, or any work where mistakes are unacceptable.
$ npx skills add sharpdeveye/maestro --skill zero-defect -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sharpdeveye/maestro zero-defect --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/sharpdeveye/maestro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/skills/zero-defect .claude/skills/zero-defect && 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 "zero-defect" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/zero-defect into .claude/skills/zero-defect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zero-defect", 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/sharpdeveye/maestro/tree/main/source/skills/zero-defectType 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 sharpdeveye/maestro --skill zero-defect -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sharpdeveye/maestro zero-defect --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .agents/skills && cp -r skills-src/source/skills/zero-defect .agents/skills/zero-defect && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "zero-defect" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/zero-defect into .agents/skills/zero-defect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zero-defect", 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 sharpdeveye/maestro --skill zero-defect -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sharpdeveye/maestro zero-defect --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/source/skills/zero-defect .cursor/skills/zero-defect && 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 "zero-defect" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/zero-defect into .cursor/skills/zero-defect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zero-defect", 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/sharpdeveye/maestro.git --path source/skills/zero-defect--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 sharpdeveye/maestro --skill zero-defect -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sharpdeveye/maestro zero-defect --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/source/skills/zero-defect .gemini/skills/zero-defect && 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 "zero-defect" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/zero-defect into .gemini/skills/zero-defect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zero-defect", 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 sharpdeveye/maestro zero-defectInstalls 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 sharpdeveye/maestro --skill zero-defect -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .github/skills && cp -r skills-src/source/skills/zero-defect .github/skills/zero-defect && 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 "zero-defect" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/zero-defect into .github/skills/zero-defect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zero-defect", 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 sharpdeveye/maestro --skill zero-defect -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sharpdeveye/maestro zero-defect --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/source/skills/zero-defect .opencode/skills/zero-defect && 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 "zero-defect" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/zero-defect into .opencode/skills/zero-defect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zero-defect", 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.
zero-defectA skill your agent uses when you need maximum precision on a critical task — production deployments, security-sensitive code, financial calculations, or any work where mistakes are unacceptable.
Zero Defect is an agent skill from sharpdeveye/maestro. Use when you need maximum precision on a critical task — production deployments, security-sensitive code, financial calculations, or any work where mistakes are unacceptable.
Its SKILL.md is about 1.1k 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: Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and… The licence is MIT.
Read from SKILL.md and the folder at commit 00f9115. 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.
Zero Defect loads about 1.1k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 538 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 sharpdeveye/maestro at commit 00f9115, republished under its MIT licence (© sharpdeveye). 538 words, ~1,065 tokens.
.claude/skills/zero-defect/SKILL.md (or your agent's skills folder).Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first.
Activate maximum precision mode for the current session. This command establishes execution-time discipline — not for the workflow design, but for how the agent itself operates. Every response, every code change, every claim must pass the zero-defect gate.
This is model-agnostic. It works with Claude, Gemini, GPT, Codex, or any AI agent.
Follow these for the entire session after this command is invoked:
| # | Rule | Why |
|---|---|---|
| 1 | Read before writing — Re-read the relevant code/context before every modification | Prevents edits based on stale mental models |
| 2 | Verify before claiming — Run verification before any success claim | Prevents false completion reports |
| 3 | One logical change at a time — Avoid sprawling multi-file edits that compound errors | Reduces cascading failures |
| 4 | State uncertainty explicitly — Say "I'm not sure about X" instead of guessing | Prevents confident hallucination |
| 5 | Check every import and reference — Verify that every function, variable, and module exists | Prevents "symbol not found" errors |
| 6 | Dry-run mentally before committing — Trace the code path for both happy path and edge cases | Catches logic errors before they ship |
| 7 | Never hallucinate APIs — Only use functions, methods, and parameters that exist in the codebase or documentation | Prevents non-existent API calls |
| 8 | Re-derive, don't recall — For math, logic, or complex reasoning, work it out fresh instead of from memory | Prevents confident but wrong answers |
Before claiming ANY work is complete, pass every item:
| Sloppy pattern | What to do instead |
|---|---|
| "This should work" without testing | Run the test, show the output |
| Editing code without re-reading the file first | View the file, then edit |
| Assuming a function exists because it sounds right | Grep the codebase to confirm |
| Making 5+ file changes in one shot | Break into sequential, verifiable steps |
| Saying "Done!" before verification | Run build/test, paste the result |
| Guessing at API parameters | Read the actual function signature |
| Fixing a bug by changing something nearby | Trace the actual root cause first |
| "I'm confident this is correct" | Confidence is not evidence — verify |
This command applies to every interaction for the remainder of the session. There are no exceptions. The rules apply to:
If you catch yourself about to violate a rule, stop and correct course before responding.
After the critical work is done, run /evaluate to review the output quality, or /refine for a final polish pass.
NEVER:
© sharpdeveye, 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 source/skills/zero-defect of sharpdeveye/maestro.
Open the folder on GitHubat commit 00f9115
Zero Defect 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 |
|---|---|---|---|---|---|---|
| Zero Defect this skillsharpdeveye/maestro | 592 | — | ~1.1k | 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 | 62k | — | ~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…
sharpdeveye/maestro
A skill your agent uses when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
sharpdeveye/maestro
A skill your agent uses when the workflow needs multi-step processing with sequential, parallel, or conditional tool compositions and proper data flow.
sharpdeveye/maestro
A skill your agent uses when a single agent demonstrably cannot handle the task and multi-agent coordination is justified.
sharpdeveye/maestro
A skill your agent uses when the user wants to find problems, audit workflow quality, or get a comprehensive health check on their AI workflow.
sharpdeveye/maestro
A skill your agent uses when the user wants to create templates, extract reusable patterns, document solutions, or build a pattern library from working workflows.
sharpdeveye/maestro
A skill your agent uses when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.
Categories
A skill your agent uses when you need maximum precision on a critical task — production deployments, security-sensitive code, financial calculations, or any work where mistakes are unacceptable. Zero Defect is an agent skill from sharpdeveye/maestro. Use when you need maximum precision on a critical task — production deployments, security-sensitive code, financial calculations, or any work where mistakes are unacceptable.
Zero Defect fits situations like: you need maximum precision on a critical task — production deployments; security-sensitive code; financial calculations; any work where mistakes are unacceptable.
Run `npx skills add sharpdeveye/maestro --skill zero-defect -a claude-code`. Or copy the skill folder (source/skills/zero-defect in sharpdeveye/maestro) into .claude/skills/zero-defect in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sharpdeveye/maestro --skill zero-defect -a codex`. Or copy the skill folder (source/skills/zero-defect in sharpdeveye/maestro) into .agents/skills/zero-defect 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 sharpdeveye/maestro --skill zero-defect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/zero-defect, .gemini/skills/zero-defect, .github/skills/zero-defect and .opencode/skills/zero-defect in your project.
SKILL.md names no scripts, command-line tools or credentials: Zero Defect 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.
Zero Defect is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.3k 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 Zero Defect: 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, 62k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sharpdeveye (a GitHub user) maintains it in sharpdeveye/maestro, which has 592 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on April 29, 2026.
Source: sharpdeveye/maestro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.