Web Application Testing
anthropics/skills
Tests local web applications with Python Playwright scripts, checking frontend behavior, capturing screenshots and reading browser console logs.
Super Dev SEEAI Codex App/Desktop competition entry. An agent skill from shangyankeji/super-dev.
Install Super Dev Seeai
$ npx skills add shangyankeji/super-dev --skill super-dev-seeai -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install shangyankeji/super-dev super-dev-seeai --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/shangyankeji/super-dev.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/super-dev-codex/skills/super-dev-seeai .claude/skills/super-dev-seeai && 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 "super-dev-seeai" agent skill from https://github.com/shangyankeji/super-dev/tree/main/plugins/super-dev-codex/skills/super-dev-seeai into .claude/skills/super-dev-seeai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "super-dev-seeai", 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/shangyankeji/super-dev/tree/main/plugins/super-dev-codex/skills/super-dev-seeaiType 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 shangyankeji/super-dev --skill super-dev-seeai -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install shangyankeji/super-dev super-dev-seeai --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shangyankeji/super-dev.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/super-dev-codex/skills/super-dev-seeai .agents/skills/super-dev-seeai && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "super-dev-seeai" agent skill from https://github.com/shangyankeji/super-dev/tree/main/plugins/super-dev-codex/skills/super-dev-seeai into .agents/skills/super-dev-seeai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "super-dev-seeai", 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 shangyankeji/super-dev --skill super-dev-seeai -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install shangyankeji/super-dev super-dev-seeai --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shangyankeji/super-dev.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/super-dev-codex/skills/super-dev-seeai .cursor/skills/super-dev-seeai && 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 "super-dev-seeai" agent skill from https://github.com/shangyankeji/super-dev/tree/main/plugins/super-dev-codex/skills/super-dev-seeai into .cursor/skills/super-dev-seeai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "super-dev-seeai", 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/shangyankeji/super-dev.git --path plugins/super-dev-codex/skills/super-dev-seeai--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 shangyankeji/super-dev --skill super-dev-seeai -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install shangyankeji/super-dev super-dev-seeai --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shangyankeji/super-dev.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/super-dev-codex/skills/super-dev-seeai .gemini/skills/super-dev-seeai && 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 "super-dev-seeai" agent skill from https://github.com/shangyankeji/super-dev/tree/main/plugins/super-dev-codex/skills/super-dev-seeai into .gemini/skills/super-dev-seeai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "super-dev-seeai", 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 shangyankeji/super-dev super-dev-seeaiInstalls 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 shangyankeji/super-dev --skill super-dev-seeai -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/shangyankeji/super-dev.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/super-dev-codex/skills/super-dev-seeai .github/skills/super-dev-seeai && 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 "super-dev-seeai" agent skill from https://github.com/shangyankeji/super-dev/tree/main/plugins/super-dev-codex/skills/super-dev-seeai into .github/skills/super-dev-seeai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "super-dev-seeai", 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 shangyankeji/super-dev --skill super-dev-seeai -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install shangyankeji/super-dev super-dev-seeai --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shangyankeji/super-dev.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/super-dev-codex/skills/super-dev-seeai .opencode/skills/super-dev-seeai && 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 "super-dev-seeai" agent skill from https://github.com/shangyankeji/super-dev/tree/main/plugins/super-dev-codex/skills/super-dev-seeai into .opencode/skills/super-dev-seeai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "super-dev-seeai", 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.
Facts
- Skill name
super-dev-seeai- GitHub stars
- 274
- Token cost
- ~216 tokens
- SKILL.md length
- 74 words
- Files
- 1
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- MIT
At a glance
Super Dev SEEAI Codex App/Desktop competition entry. An agent skill from shangyankeji/super-dev.
- Testing & QA work in your project
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Super Dev Seeai is an agent skill from shangyankeji/super-dev. Super Dev SEEAI Codex App/Desktop competition entry.
Its SKILL.md is about 220 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 Testing & QA. The repository describes itself as: Engineering workflow layer for AI coding tools with specs, review, quality gates, and traceability.为 AI 编程工具提供工程化流程、质量门禁与可追溯能力。 The licence is MIT.
When your agent uses it
- Testing & QA work in your project
Example prompts
- “/super-dev-seeai”
What it can do on your machine
Read from SKILL.md and the folder at commit d06e640. 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.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Super Dev Seeai loads about 216 tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 74 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.
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 shangyankeji/super-dev at commit d06e640, republished under its MIT licence (© shangyankeji). 74 words, ~216 tokens.
Download SKILL.mdSave it as
.claude/skills/super-dev-seeai/SKILL.md (or your agent's skills folder).- name
- super-dev-seeai
- description
- Super Dev SEEAI Codex App/Desktop competition entry.
- when_to_use
- Use when the user wants the fast competition flow inside Codex App/Desktop.
- version
- 2.4.0
Super Dev SEEAI for Codex Plugin
- Treat this as the competition-fast mode for showcase builds.
- Enter research first, then compact PRD / architecture / UIUX, wait for docs confirmation, create compact Spec, and move into one integrated build sprint.
- Do not expand back into the standard preview gate unless the user explicitly switches modes.
- Keep the result demoable, visually intentional, and runnable.
Super Dev System Flow Contract
- SUPER_DEV_FLOW_CONTRACT_V1
- PHASE_CHAIN: research>docs>docs_confirm>spec>frontend>preview_confirm>backend>quality>delivery
- DOC_CONFIRM_GATE: required
- PREVIEW_CONFIRM_GATE: required
- HOST_PARITY: required
© shangyankeji, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in plugins/super-dev-codex/skills/super-dev-seeai of shangyankeji/super-dev.
Open the folder on GitHubat commit d06e640
Compare with similar skills
Super Dev Seeai 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 |
|---|---|---|---|---|---|---|
| Super Dev Seeai this skillshangyankeji/super-dev | 274 | — | ~216 | Automated safety check: Pass | MIT | |
| Web Application Testinganthropics/skills | 180k | 51 repos | ~966 | Automated safety check: Pass | Apache-2.0 | |
| Diagnosing Bugsfossasia/eventyay-interpretation | 1.6k | 32 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| TDDpietheinstrengholt/rssmonster | 564 | 30 repos | ~906 | Automated safety check: Pass | MIT | |
| TDD WorkflowhellangleZ/burn-in-cceverywhere-ralph | 112 | 11 repos | ~2.4k | Automated safety check: Pass | None | |
| TDDsanity-io/sanity | 6.4k | 20 repos | ~1k | Automated safety check: Pass | MIT |
Similar skills
- Official
Diagnosing Bugs
fossasia/eventyay-interpretation
Diagnosis loop for hard bugs and performance regressions. An agent skill from fossasia/eventyay-interpretation.
TDD
pietheinstrengholt/rssmonster
Test-driven development. An agent skill from pietheinstrengholt/rssmonster.
TDD Workflow
hellangleZ/burn-in-cceverywhere-ralph
A skill your agent uses when writing new features, fixing bugs, or refactoring code.
- Official
TDD
sanity-io/sanity
Test-driven development with red-green-refactor loop. An agent skill from sanity-io/sanity.
Context Driven Development
Ibrahim-3d/orchestrator-supaconductor
A skill your agent uses when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md…
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Categories
Questions about Super Dev Seeai
What does Super Dev Seeai do?
Super Dev SEEAI Codex App/Desktop competition entry. An agent skill from shangyankeji/super-dev. Super Dev Seeai is an agent skill from shangyankeji/super-dev. Super Dev SEEAI Codex App/Desktop competition entry.
When should I use Super Dev Seeai?
Super Dev Seeai fits situations like: testing & QA work in your project.
How do I install Super Dev Seeai in Claude Code?
Run `npx skills add shangyankeji/super-dev --skill super-dev-seeai -a claude-code`. Or copy the skill folder (plugins/super-dev-codex/skills/super-dev-seeai in shangyankeji/super-dev) into .claude/skills/super-dev-seeai in your project. Claude Code loads it when a task matches its description.
How do I install Super Dev Seeai in Codex?
Run `npx skills add shangyankeji/super-dev --skill super-dev-seeai -a codex`. Or copy the skill folder (plugins/super-dev-codex/skills/super-dev-seeai in shangyankeji/super-dev) into .agents/skills/super-dev-seeai in your project. Codex loads it when a task matches its description.
Can I use Super Dev Seeai 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 shangyankeji/super-dev --skill super-dev-seeai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/super-dev-seeai, .gemini/skills/super-dev-seeai, .github/skills/super-dev-seeai and .opencode/skills/super-dev-seeai in your project.
What does Super Dev Seeai need to run?
SKILL.md names no scripts, command-line tools or credentials: Super Dev Seeai is instructions for the agent only.
Does Super Dev Seeai access the network?
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.
Is Super Dev Seeai 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 Super Dev Seeai use?
Super Dev Seeai is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Super Dev Seeai use?
About 216 tokens (SKILL.md is roughly 864 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 Super Dev Seeai?
Skills that share tags, products or a category with Super Dev Seeai: Web Application Testing (anthropics/skills, 180k stars), Diagnosing Bugs (fossasia/eventyay-interpretation, 1.6k stars), TDD (pietheinstrengholt/rssmonster, 564 stars) and TDD Workflow (hellangleZ/burn-in-cceverywhere-ralph, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Super Dev Seeai?
shangyankeji (a GitHub user) maintains it in shangyankeji/super-dev, which has 274 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on June 19, 2026.
Source: shangyankeji/super-dev on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.