Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
Run quality problem zeroing, perform 双归零 (double-five zeroing), write a technical zeroing report, write a management zeroing report, or close an aerospace quality problem under GB/T 29076—2021.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill quality-problem-zeroing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins quality-problem-zeroing --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing .claude/skills/quality-problem-zeroing && 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 "quality-problem-zeroing" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing into .claude/skills/quality-problem-zeroing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-problem-zeroing", 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroingType 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 hashgraph-online/awesome-codex-plugins --skill quality-problem-zeroing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins quality-problem-zeroing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing .agents/skills/quality-problem-zeroing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "quality-problem-zeroing" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing into .agents/skills/quality-problem-zeroing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-problem-zeroing", 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 hashgraph-online/awesome-codex-plugins --skill quality-problem-zeroing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins quality-problem-zeroing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing .cursor/skills/quality-problem-zeroing && 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 "quality-problem-zeroing" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing into .cursor/skills/quality-problem-zeroing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-problem-zeroing", 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/hashgraph-online/awesome-codex-plugins.git --path plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing--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 hashgraph-online/awesome-codex-plugins --skill quality-problem-zeroing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins quality-problem-zeroing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing .gemini/skills/quality-problem-zeroing && 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 "quality-problem-zeroing" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing into .gemini/skills/quality-problem-zeroing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-problem-zeroing", 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 hashgraph-online/awesome-codex-plugins quality-problem-zeroingInstalls 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 hashgraph-online/awesome-codex-plugins --skill quality-problem-zeroing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing .github/skills/quality-problem-zeroing && 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 "quality-problem-zeroing" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing into .github/skills/quality-problem-zeroing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-problem-zeroing", 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 hashgraph-online/awesome-codex-plugins --skill quality-problem-zeroing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins quality-problem-zeroing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing .opencode/skills/quality-problem-zeroing && 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 "quality-problem-zeroing" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing into .opencode/skills/quality-problem-zeroing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-problem-zeroing", 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.
quality-problem-zeroingRun quality problem zeroing, perform 双归零 (double-five zeroing), write a technical zeroing report, write a management zeroing report, or close an aerospace quality problem under GB/T 29076—2021.
Quality Problem Zeroing is an agent skill from hashgraph-online/awesome-codex-plugins. Run quality problem zeroing, perform 双归零 (double-five zeroing), write a technical zeroing report, write a management zeroing report, or close an aerospace quality problem under GB/T 29076—2021. Covers problem reporting, emergency response, team formation, technical zeroing (定位准确、机理清楚、问题复现、 措施有效、举一反三), management zeroing (过程清楚、责任明确、措施落实、严肃处理、 完善规章), evidence gates, review, and closure. Use for aerospace or complex equipment failures, defects, accidents, repeated problems, human-responsibility problems, and issues…
Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files and assets (for example `assets/zeroing-report-template.md`, `references/engineering-methods.md` and `references/gbt-29076-2021-method-guide.md`).
It sits in Development. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 78497e5. 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.
Quality Problem Zeroing loads about 4.7k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 147 tokens; SKILL.md has 2,209 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 hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its MIT licence (© hashgraph-online). 2,209 words, ~4,682 tokens.
.claude/skills/quality-problem-zeroing/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Close a quality problem with objective evidence that:
GB/T 29076—2021 is the controlling source for scope, sequence, terminology, and closure. Treat other methods and publications as supporting guidance only. Read the standard method guide whenever a formal scope decision, report, or closure review is required.
Use this skill for an aerospace or complex-equipment quality problem that requires formal technical zeroing, management zeroing, double-five zeroing, an Annex A-aligned report, or a closure review. It is especially relevant to failures, defects, accidents, batch problems, repeated problems, field or delivered-product issues, human-responsibility problems, and problems caused by missing or inadequate rules.
Use a narrower root-cause skill when the user only needs one analysis tool. Use 8D instead when the customer or sector mandates an 8D response, then cross-check whether the same event also requires GB/T 29076—2021 zeroing.
Create the initial problem record before analysis changes the evidence. Capture:
Do not dismantle, clean, power-cycle, overwrite logs, swap parts, or repeat a destructive test until the evidence impact is assessed and the action is authorized.
When harm may continue or worsen:
Keep emergency response separate from permanent corrective action. Remove it only after a more effective root-cause action is implemented and verified.
Include functions that own or understand the affected design, process, test, production, quality, supplier, use, and customer interfaces. Name:
The quality function controls the plan, conformity check, review, action tracking, and retention of evidence. The responsible organization performs the investigation.
Apply technical zeroing when technical causes or consequences fall within the standard's scope, including significant design, production, test, field, delivered-product, batch, repeat, cost, schedule, performance, effectiveness, or system-application issues.
Apply management zeroing to:
If both scopes apply, perform both and begin with technical zeroing. Record the route, severity level, responsible organization, target dates, and rationale. Do not assume every technical issue automatically requires punishment or management zeroing.
Determine the exact process, product, assembly, component, part, electronic component, software element, interface, test equipment, or operation where the problem originates. Reach the lowest failed unit supported by evidence and state its abnormal condition.
Check whether the source is the product, support equipment, test method, environment, or operation. Use controlled substitution only when it preserves evidence and its result is not mistaken for proof of mechanism.
Gate: The location and affected boundary are specific, evidence-backed, communicated, and accepted by relevant parties. “The system failed” or “the supplier part was bad” does not pass.
Build the causal chain from abnormal factor to final phenomenon. Identify all root causes and explain the physical, chemical, electrical, software, human-system, or process mechanism. Analyze the problem from three views:
Use evidence to eliminate alternatives. Suitable tools include engineering analysis, failure analysis, statistics, FTA, FMEA, Fishbone, 5-Why, process analysis, DOE, and comparison.
Gate: Every claimed root cause has objective support, alternative explanations have a documented disposition, and the causal chain explains all material observations.
Prepare and approve a verification plan defining:
Execute the plan, preserve raw records, analyze results, and obtain stakeholder agreement. Prefer a controlled, mechanism-driven reproduction over an uncontrolled repeat.
For obvious one-off damage, destructive modes, or conditions that cannot be reproduced, document why a reproduction test is inappropriate and use theory, analysis, simulation, inspection, or an equivalent verification method. Do not convert “not reproduced” into “no problem.”
Gate: The result confirms or rejects the location and mechanism. A failed confirmation returns the investigation to localization or mechanism analysis.
Separate:
For every root cause, define a specific, measurable, executable, and verifiable action with an owner, due date, required resources, affected configuration, and verification plan. Evaluate whether each action may create a new or worse risk.
Implement approved actions in controlled design, process, test, software, training, or standard documents. Compare post-action results with the original problem evidence.
Gate: Evidence proves the actions are effective and sufficiently cover the operating range without unacceptable adverse effects. If not, return to mechanism analysis.
Search for the same or similar mechanism across:
State the search population, method, findings, decisions, actions, owners, and evidence. Issue lessons learned or alerts through the quality function. Embed approved learning in design rules, process instructions, test requirements, training, databases, and tools.
Gate: Horizontal deployment is based on mechanism and exposure, not merely on the same part number, and every finding has a disposition.
Reconstruct the complete event timeline and the process that created and detected the problem. Compare required versus actual activities, records, decisions, controls, and handoffs. Identify management weaknesses or gaps.
Assign organizational and individual responsibility from documented duties, authority, actions, omissions, and evidence. Distinguish direct and indirect, primary and secondary, leadership and execution responsibility. Do not use responsibility analysis as a substitute for systemic root-cause analysis.
Address every management weakness with specific, checkable actions. Define the responsible department and person, completion date, resources, implementation evidence, and effectiveness check. Plan and fund medium- and long-term actions explicitly.
Use the event to educate personnel and improve management. Apply training, communication, coaching, or other organizational learning as appropriate. Apply administrative or economic penalties only under applicable rules for confirmed repeated problems, human-responsibility problems, falsification, or concealment. Recognize proactive discovery and effective prevention where organizational policy allows.
Convert management actions into controlled management-system documents, standards, procedures, work instructions, or governance mechanisms. Define revision content, owner, approval, effective date, deployment, training, and compliance verification.
Management gate: The process, responsibility, actions, treatment, and rules are each supported by evidence and address the identified management causes.
Use the zeroing report template. For formal work, include the report sections and evidence described in Annex A of GB/T 29076—2021.
Before closure, an authorized review must verify:
Close and disband the team only after all actions are implemented and verified, lessons are deployed, and affected parties are told that zeroing is complete.
If complete zeroing is not feasible for a flight test or in-orbit issue, document the reason, analyze all plausible root causes, implement comprehensive controls against them, identify residual risk, and obtain the required approval. Never label an unresolved hypothesis as a confirmed cause.
Read engineering methods when choosing troubleshooting, reproduction, measure-verification, controlled-experimentation, or workflow-control methods. These methods are advisory and cannot weaken a standard gate.
Framework handoff:
Detection / NCR → zeroing route decision → technical and/or management zeroing → corrective action → FMEA / Control Plan / controlled-document updates → evidence review → closure
Reject closure if any answer is “no”:
Produce, as applicable:
At the start of each use, ask the user:
"How would you like to receive the output? A — Structured Markdown (formatted tables and sections, ready to copy) B — Plain tables (simplified structure for Excel or Word) C — Narrative report (flowing text for a formal document or email)
Default: A."
Adapt all output sections to the chosen format. If the platform or session context already defines a format preference, skip this question.
| Version | Date | Author | Change |
|---|---|---|---|
| 1.0 | 2026-07-04 | @Crow12138 | Initial draft based on GB/T 29076—2021 |
© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references, assets) in plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 78497e5
Quality Problem Zeroing 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 |
|---|---|---|---|---|---|---|
| Quality Problem Zeroing this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~4.7k | Automated safety check: Pass | MIT | |
| Vercel Composition Patternssupabase/supabase | 111k | 59 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
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Categories
Run quality problem zeroing, perform 双归零 (double-five zeroing), write a technical zeroing report, write a management zeroing report, or close an aerospace quality problem under GB/T 29076—2021. Quality Problem Zeroing is an agent skill from hashgraph-online/awesome-codex-plugins. Run quality problem zeroing, perform 双归零 (double-five zeroing), write a technical zeroing report, write a management zeroing report, or close an aerospace quality problem under GB/T 29076—2021.
Quality Problem Zeroing fits situations like: complex equipment failures; repeated problems; human-responsibility problems; issues requiring a formal closed-loop investigation.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill quality-problem-zeroing -a claude-code`. Or copy the skill folder (plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing in hashgraph-online/awesome-codex-plugins) into .claude/skills/quality-problem-zeroing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill quality-problem-zeroing -a codex`. Or copy the skill folder (plugins/RBraga01/Quality-Engineering-Skills/skills/problem-solving/quality-problem-zeroing in hashgraph-online/awesome-codex-plugins) into .agents/skills/quality-problem-zeroing 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 hashgraph-online/awesome-codex-plugins --skill quality-problem-zeroing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/quality-problem-zeroing, .gemini/skills/quality-problem-zeroing, .github/skills/quality-problem-zeroing and .opencode/skills/quality-problem-zeroing in your project.
SKILL.md names no scripts, command-line tools or credentials: Quality Problem Zeroing 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.
Quality Problem Zeroing is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Quality Problem Zeroing: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.