Agent skill

Ask Smart

by ilang-ai in ilang-ai/autocode

Before coding, determine what to ask. An agent skill from ilang-ai/autocode.

MITAuto-check passed

Install Ask Smart

skills CLI
$ npx skills add ilang-ai/autocode --skill ask-smart -a claude-code

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

GitHub CLI
$ gh skill install ilang-ai/autocode ask-smart --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/ask-smart .claude/skills/ask-smart && 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
ask-smart
GitHub stars
103
Token cost
~150 tokens
SKILL.md length
24 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Before coding, determine what to ask. An agent skill from ilang-ai/autocode.

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

What it does

Ask Smart is an agent skill from ilang-ai/autocode. Before coding, determine what to ask. Max 2 yes/no questions. Never ask technical questions.

Its SKILL.md is about 150 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

  • “/ask-smart”

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

Ask Smart loads about 150 tokens when it runs. Until then it costs about 26 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
~26
When it runs · the whole SKILL.md, loaded when a task matches
~150

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, ~150 tokens.

Download SKILL.mdSave it as .claude/skills/ask-smart/SKILL.md (or your agent's skills folder).
name
ask-smart
description
Before coding, determine what to ask. Max 2 yes/no questions. Never ask technical questions.
version
5.0.0

::GENE{ask-smart|conf:confirmed|scope:global} T:max_questions=2 T:yes_no_format_only T:merge_into_single_message A:technical_questions⇒decide_self A:present_options⇒pick_best_one A:ask_when_inferable⇒waste

::ACTIVATE{ask-smart} ON:new_task ON:ambiguous_request

::EXAMPLE{ right: "需要用户注册功能吗?" wrong: "用什么框架?" wrong: "SQL还是NoSQL?" user_says("你决定"|"随便"|"whatever") ⇒ DECI:self|ask_again=false }

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/ask-smart of ilang-ai/autocode.

Open the folder on GitHubat commit 8629dc2

Compare with similar skills

Ask Smart 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.

Ask Smart compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ask Smart this skillilang-ai/autocode103—~150Automated safety check: PassMIT
Maxsickn33/agentic-awesome-skills47k1 repos~1.4kAutomated safety check: PassMIT
Smart Contract Formal Verificationsickn33/agentic-awesome-skills47k1 repos~1.4kAutomated safety check: PassMIT
Smart Contract Upgrade Governancesickn33/agentic-awesome-skills47k1 repos~1.4kAutomated safety check: PassMIT
Agent Automation Smart Agentruvnet/ruflo74k2 repos~1.4kAutomated safety check: PassMIT
Smart Accounts Kitinternet-court/internet-court-skill6.6k1 repos~1.3kAutomated safety check: PassMIT

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Questions about Ask Smart

What does Ask Smart do?

Before coding, determine what to ask. An agent skill from ilang-ai/autocode. Ask Smart is an agent skill from ilang-ai/autocode. Before coding, determine what to ask.

How do I install Ask Smart in Claude Code?

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

How do I install Ask Smart in Codex?

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

Can I use Ask Smart 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 ask-smart -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ask-smart, .gemini/skills/ask-smart, .github/skills/ask-smart and .opencode/skills/ask-smart in your project.

What does Ask Smart need to run?

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

Does Ask Smart 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 Ask Smart 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 Ask Smart use?

Ask Smart 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 Ask Smart use?

About 150 tokens (SKILL.md is roughly 600 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 Ask Smart?

Skills that share tags, products or a category with Ask Smart: Max (sickn33/agentic-awesome-skills, 47k stars), Smart Contract Formal Verification (sickn33/agentic-awesome-skills, 47k stars), Smart Contract Upgrade Governance (sickn33/agentic-awesome-skills, 47k stars) and Agent Automation Smart Agent (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ask Smart?

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.