Build scaffold
Create project skeleton. Pick stack, create files, install dependencies. AI decides everything.From its SKILL.md
npx -y skills add ilang-ai/autocode --skill build-scaffoldAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- skips confirmationTells the agent to proceed without asking first, 1 time: "ask_user_stack_choice⇒decide_self".
SKILL.md
0.7 KB, 172 tokens by cl100k_base, as published. Nobody here has run it
::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
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most project setup skills give in 172 tokens
Counted across 1,553 of the 3,091 authors here whose files we hold, read 2026-09-06
- Write the configuration filein 36 of 1553
- Create the directory structurein 35 of 1553, across 33 files
- Verify the setupin 31 of 1553, across 28 files
- Run the setup scriptin 30 of 1553, across 29 files
- Pre-determine the required sample sizein 29 of 1553, across 12 files
- Check if the configuration already existsin 29 of 1553
- Document every testin 26 of 1553, across 10 files
- Start with a hypothesisin 26 of 1553, across 11 files
- Ask one question at a timein 22 of 1553
- Test a single variable per testin 21 of 1553, across 9 files
- Read product marketing context before asking questionsin 19 of 1553, across 8 files
- Do not peek and stop earlyin 18 of 1553, across 7 files
Said here and by no other author read
- Pick simplest stack that works
- Explain choice in one sentence
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.