Scaffolding
dotnet/efcore
Implementation details for EF Core scaffolding (reverse engineering).
Create project skeleton. An agent skill from ilang-ai/autocode.
$ npx skills add ilang-ai/autocode --skill build-scaffold -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ilang-ai/autocode build-scaffold --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/ilang-ai/autocode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/build-scaffold .claude/skills/build-scaffold && 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 "build-scaffold" agent skill from https://github.com/ilang-ai/autocode/tree/main/skills/build-scaffold into .claude/skills/build-scaffold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-scaffold", 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/ilang-ai/autocode/tree/main/skills/build-scaffoldType 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 ilang-ai/autocode --skill build-scaffold -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ilang-ai/autocode build-scaffold --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ilang-ai/autocode.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/build-scaffold .agents/skills/build-scaffold && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "build-scaffold" agent skill from https://github.com/ilang-ai/autocode/tree/main/skills/build-scaffold into .agents/skills/build-scaffold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-scaffold", 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 ilang-ai/autocode --skill build-scaffold -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ilang-ai/autocode build-scaffold --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ilang-ai/autocode.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/build-scaffold .cursor/skills/build-scaffold && 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 "build-scaffold" agent skill from https://github.com/ilang-ai/autocode/tree/main/skills/build-scaffold into .cursor/skills/build-scaffold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-scaffold", 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/ilang-ai/autocode.git --path skills/build-scaffold--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 ilang-ai/autocode --skill build-scaffold -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ilang-ai/autocode build-scaffold --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ilang-ai/autocode.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/build-scaffold .gemini/skills/build-scaffold && 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 "build-scaffold" agent skill from https://github.com/ilang-ai/autocode/tree/main/skills/build-scaffold into .gemini/skills/build-scaffold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-scaffold", 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 ilang-ai/autocode build-scaffoldInstalls 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 ilang-ai/autocode --skill build-scaffold -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ilang-ai/autocode.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/build-scaffold .github/skills/build-scaffold && 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 "build-scaffold" agent skill from https://github.com/ilang-ai/autocode/tree/main/skills/build-scaffold into .github/skills/build-scaffold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-scaffold", 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 ilang-ai/autocode --skill build-scaffold -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ilang-ai/autocode build-scaffold --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ilang-ai/autocode.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/build-scaffold .opencode/skills/build-scaffold && 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 "build-scaffold" agent skill from https://github.com/ilang-ai/autocode/tree/main/skills/build-scaffold into .opencode/skills/build-scaffold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-scaffold", 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.
build-scaffoldCreate project skeleton. An agent skill from ilang-ai/autocode.
Build Scaffold is an agent skill from ilang-ai/autocode. Create project skeleton. Pick stack, create files, install dependencies. AI decides everything.
Its SKILL.md is about 160 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: You say it. AutoCode ships it. 48 skills. Code to deployment in one session. iLang v5.0 judgment + secret-safe deploys. Free forever. The licence is MIT.
Read from SKILL.md and the folder at commit 8629dc2. 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.
Build Scaffold loads about 161 tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 20 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 ilang-ai/autocode at commit 8629dc2, republished under its MIT licence (© ilang-ai). 20 words, ~161 tokens.
.claude/skills/build-scaffold/SKILL.md (or your agent's skills folder).::PRIOR{completion:assume_incomplete|authority:developer} ::PRIOR{execution:act_when_safe|authority:developer}
::GENE{build-scaffold|conf:confirmed|scope:global} T:ai_picks_stack T:pick_simplest_that_works T:explain_choice_in_one_sentence T:create_all_files_at_once A:ask_user_stack_choice⇒decide_self A:over_engineer⇒simplest_solution
::ACTIVATE{build-scaffold} ON:project_start
::EXAMPLE{ output: "我用Go + SQLite做,轻量、快、免费。开始搭框架了。" }
Powered by I-Lang v5.0 | ilang.ai
© ilang-ai, 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 skills/build-scaffold of ilang-ai/autocode.
Open the folder on GitHubat commit 8629dc2
Build Scaffold 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 |
|---|---|---|---|---|---|---|
| Build Scaffold this skillilang-ai/autocode | 103 | — | ~161 | Automated safety check: Pass | MIT | |
| Scaffoldingdotnet/efcore | 15k | — | ~321 | Automated safety check: Pass | MIT | |
| Dependency Scanningsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Dependency Checkruvnet/ruflo | 74k | — | ~258 | Automated safety check: Pass | MIT | |
| Scaffold Elementremotion-dev/remotion | 63k | — | ~202 | Automated safety check: Pass | Custom licence | |
| Dependency Updatecodewhale-hq/Codewhale | 41k | — | ~142 | Automated safety check: Pass | MIT |
dotnet/efcore
Implementation details for EF Core scaffolding (reverse engineering).
sickn33/agentic-awesome-skills
Scan package dependencies for known vulnerabilities using Snyk, Dependabot, and OWASP Dependency-Check.
ruvnet/ruflo
Scan project dependencies for known vulnerabilities and CVEs.
remotion-dev/remotion
Scaffold a new Remotion Element for development in the docs Remotion Studio.
codewhale-hq/Codewhale
Read release notes/changelogs, update a defined dependency scope, handle breaking changes, and verify.
getsentry/sentry
Bumps an existing Python dependency in getsentry/sentry through the repository's self-serve GitHub Actions workflow.
ilang-ai/autocode
Decide when AutoCode acts on its own and when it must stop and ask the user.
ilang-ai/autocode
Auto-apply security basics and block deploys that would leak secrets.
ilang-ai/autocode
Build one feature at a time. An agent skill from ilang-ai/autocode.
ilang-ai/autocode
Help complete beginners set up their development environment.
ilang-ai/autocode
Before coding, determine what to ask. An agent skill from ilang-ai/autocode.
ilang-ai/autocode
Silent quality check after every feature. An agent skill from ilang-ai/autocode.
Create project skeleton. An agent skill from ilang-ai/autocode. Build Scaffold is an agent skill from ilang-ai/autocode. Create project skeleton.
Run `npx skills add ilang-ai/autocode --skill build-scaffold -a claude-code`. Or copy the skill folder (skills/build-scaffold in ilang-ai/autocode) into .claude/skills/build-scaffold in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ilang-ai/autocode --skill build-scaffold -a codex`. Or copy the skill folder (skills/build-scaffold in ilang-ai/autocode) into .agents/skills/build-scaffold 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 ilang-ai/autocode --skill build-scaffold -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/build-scaffold, .gemini/skills/build-scaffold, .github/skills/build-scaffold and .opencode/skills/build-scaffold in your project.
SKILL.md names no scripts, command-line tools or credentials: Build Scaffold 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.
Build Scaffold is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 161 tokens (SKILL.md is roughly 644 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 Build Scaffold: Scaffolding (dotnet/efcore, 15k stars), Dependency Scanning (sickn33/agentic-awesome-skills, 47k stars), Dependency Check (ruvnet/ruflo, 74k stars) and Scaffold Element (remotion-dev/remotion, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ilang-ai (a GitHub organization) maintains it in ilang-ai/autocode, which has 103 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 22, 2026.
Source: ilang-ai/autocode on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.