Agent skill

Build Feature

by ilang-ai in ilang-ai/autocode

Build one feature at a time. An agent skill from ilang-ai/autocode.

MITAuto-check passed

Install Build Feature

skills CLI
$ npx skills add ilang-ai/autocode --skill build-feature -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ilang-ai/autocode build-feature --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ilang-ai/autocode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/build-feature .claude/skills/build-feature && rm -rf skills-src

Use ~/.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/

Facts

Skill name
build-feature
GitHub stars
103
Token cost
~177 tokens
SKILL.md length
24 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Build one feature at a time. An agent skill from ilang-ai/autocode.

  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Build Feature is an agent skill from ilang-ai/autocode. Build one feature at a time. Complete each fully before moving to next. Auto-triggers quality check.

Its SKILL.md is about 180 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.

Example prompts

  • “/build-feature”

What it can do on your machine

Read from SKILL.md and the folder at commit 8629dc2. 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

Build Feature loads about 177 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 24 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~177

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 ilang-ai/autocode at commit 8629dc2, republished under its MIT licence (© ilang-ai). 24 words, ~177 tokens.

Download SKILL.mdSave it as .claude/skills/build-feature/SKILL.md (or your agent's skills folder).
name
build-feature
description
Build one feature at a time. Complete each fully before moving to next. Auto-triggers quality check.
version
5.0.0

::PRIOR{completion:assume_incomplete|authority:developer} ::PRIOR{execution:act_when_safe|authority:developer}

::GENE{build-feature|conf:confirmed|scope:global} T:one_feature_at_a_time T:sequential_not_concurrent T:verify_before_next T:report_completion_in_user_language A:parallel_features⇒reject A:skip_verification⇒reject when:feature_too_big ⇒ ::ACTIVATE{plan-breakdown}

::ACTIVATE{build-feature} ON:plan_approved

::EXAMPLE{ output: "登录功能做好了。用户可以注册、登录、登出。" progress: "✅ 3/5 完成,还剩2步。" }

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

Files

Just SKILL.md in skills/build-feature of ilang-ai/autocode.

Open the folder on GitHubat commit 8629dc2

Compare with similar skills

Build Feature 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.

Build Feature compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Build Feature this skillilang-ai/autocode103—~177Automated safety check: PassMIT
Autonomous Agent Harnessaffaan-m/ECC277k2 repos~2.9kAutomated safety check: PassMIT
Data Scraper Agentaffaan-m/ECC277k5 repos~6.3kAutomated safety check: NotesMIT
Brainstormingnexu-io/open-design100k—~300Automated safety check: PassApache-2.0
Local AI Agentsmicrosoft/ai-agents-for-beginners77k—~1.4kAutomated safety check: PassMIT
Vibe to Agentic Engineering Frameworkshanraisshan/claude-code-best-practice67k—~3.3kAutomated safety check: PassMIT

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Questions about Build Feature

What does Build Feature do?

Build one feature at a time. An agent skill from ilang-ai/autocode. Build Feature is an agent skill from ilang-ai/autocode. Build one feature at a time.

How do I install Build Feature in Claude Code?

Run `npx skills add ilang-ai/autocode --skill build-feature -a claude-code`. Or copy the skill folder (skills/build-feature in ilang-ai/autocode) into .claude/skills/build-feature in your project. Claude Code loads it when a task matches its description.

How do I install Build Feature in Codex?

Run `npx skills add ilang-ai/autocode --skill build-feature -a codex`. Or copy the skill folder (skills/build-feature in ilang-ai/autocode) into .agents/skills/build-feature in your project. Codex loads it when a task matches its description.

Can I use Build Feature 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 ilang-ai/autocode --skill build-feature -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-feature, .gemini/skills/build-feature, .github/skills/build-feature and .opencode/skills/build-feature in your project.

What does Build Feature need to run?

SKILL.md names no scripts, command-line tools or credentials: Build Feature is instructions for the agent only.

Does Build Feature 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 Build Feature 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 Build Feature use?

Build Feature 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 Build Feature use?

About 177 tokens (SKILL.md is roughly 708 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 Build Feature?

Skills that share tags, products or a category with Build Feature: Autonomous Agent Harness (affaan-m/ECC, 277k stars), Data Scraper Agent (affaan-m/ECC, 277k stars), Brainstorming (nexu-io/open-design, 100k stars) and Local AI Agents (microsoft/ai-agents-for-beginners, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Build Feature?

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.