Agent skill

Smart Question Generator

by digipulse-engineering in digipulse-engineering/GAAI-framework

Takes aggregated ambiguity insights from the LLM synthesis stage and produces ≤5 ranked questions to surface to the user.

Custom licenceAuto-check passedAI & LLM Engineering

Install Smart Question Generator

skills CLI
$ npx skills add digipulse-engineering/GAAI-framework --skill smart-question-generator -a claude-code

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

GitHub CLI
$ gh skill install digipulse-engineering/GAAI-framework smart-question-generator --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/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.gaai/core/skills/cross/smart-question-generator .claude/skills/smart-question-generator && 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
smart-question-generator
GitHub stars
163
Token cost
~3.5k tokens
SKILL.md length
562 words
Files
1
Skills in repo
51
Repo updated
First seen
Licence
Custom licence

At a glance

Takes aggregated ambiguity insights from the LLM synthesis stage and produces ≤5 ranked questions to surface to the user.

  • Works in 6 steps: Pre-filter: exclude low-confidence… → Build question-generation prompt → LLM call with failure handling (AC5) → …
  • AI & LLM Engineering work in your project
  • SKILL.md covers Purpose / When to Activate, Input Schema, Process and Output Schema (question_result), plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Smart Question Generator is an agent skill from digipulse-engineering/GAAI-framework. Takes aggregated ambiguity insights from the LLM synthesis stage and produces ≤5 ranked questions to surface to the user. Applies a two-layer anti-fabrication filter (pre-LLM exclusion of score<3 insights + post-LLM structural strip) so that Q&A surfaces only genuine ambiguities. Used as Stage 4 of the /gaai:bootstrap pipeline.

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Works with any OpenAI-compatible LLM API from an AI coding agent context

It sits in AI & LLM Engineering. The repository describes itself as: Turns AI coding tools into reliable software delivery systems. Drop a .gaai/ folder into any project — Discovery defines what to build, Delivery executes autonomously until…

When your agent uses it

  • AI & LLM Engineering work in your project

Example prompts

  • “Use the smart-question-generator skill to take aggregated ambiguity insights from the LLM synthesis stage and produces ≤5 ranked questions to…”
  • “/smart-question-generator”

Requirements

  • Compatibility (from SKILL.md): Works with any OpenAI-compatible LLM API from an AI coding agent context

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Pre-filter: exclude low-confidence insights (AC4 — CLIENT-SIDE, before LLM call)
  2. Build question-generation prompt
  3. LLM call with failure handling (AC5)
  4. Parse LLM response
  5. Post-generation structural filter (AC4 — CLIENT-SIDE, after LLM call)
  6. Build output and observability summary (AC7)

What it can do on your machine

Read from SKILL.md and the folder at commit a26ea7a. 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 (its code samples are yaml).

    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.

  • Compatibility

    Works with any OpenAI-compatible LLM API from an AI coding agent context

    From compatibility in the SKILL.md frontmatter.

Context cost

Smart Question Generator loads about 3.5k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 562 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 562 words (~3,499 tokens).

name
smart-question-generator
compatibility
Works with any OpenAI-compatible LLM API from an AI coding agent context
license
ELv2
metadata.author
gaai-framework
metadata.version
1.0
metadata.category
cross
metadata.track
cross-cutting
metadata.id
SKILL-SMART-QUESTION-GENERATOR-001
metadata.updated_at
2026-04-29
metadata.status
stable
inputs
ambiguity_feed, anthropic_api_key
outputs
question_result

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .gaai/core/skills/cross/smart-question-generator of digipulse-engineering/GAAI-framework.

Open the folder on GitHubat commit a26ea7a

Compare with similar skills

Smart Question Generator 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.

Smart Question Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Smart Question Generator this skilldigipulse-engineering/GAAI-framework163—~3.5kAutomated safety check: PassCustom licence
Agent BuildershareAI-lab/learn-claude-code78k6 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
Peft Fine TuningOrchestra-Research/AI-Research-SKILLs13k9 repos~3.1kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.8k15 repos~656Automated safety check: PassApache-2.0

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Questions about Smart Question Generator

What does Smart Question Generator do?

Takes aggregated ambiguity insights from the LLM synthesis stage and produces ≤5 ranked questions to surface to the user. Smart Question Generator is an agent skill from digipulse-engineering/GAAI-framework. Takes aggregated ambiguity insights from the LLM synthesis stage and produces ≤5 ranked questions to surface to the user.

When should I use Smart Question Generator?

Smart Question Generator fits situations like: AI & LLM Engineering work in your project.

How do I install Smart Question Generator in Claude Code?

Run `npx skills add digipulse-engineering/GAAI-framework --skill smart-question-generator -a claude-code`. Or copy the skill folder (.gaai/core/skills/cross/smart-question-generator in digipulse-engineering/GAAI-framework) into .claude/skills/smart-question-generator in your project. Claude Code loads it when a task matches its description.

How do I install Smart Question Generator in Codex?

Run `npx skills add digipulse-engineering/GAAI-framework --skill smart-question-generator -a codex`. Or copy the skill folder (.gaai/core/skills/cross/smart-question-generator in digipulse-engineering/GAAI-framework) into .agents/skills/smart-question-generator in your project. Codex loads it when a task matches its description.

Can I use Smart Question Generator 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 digipulse-engineering/GAAI-framework --skill smart-question-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/smart-question-generator, .gemini/skills/smart-question-generator, .github/skills/smart-question-generator and .opencode/skills/smart-question-generator in your project.

What does Smart Question Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Smart Question Generator is instructions for the agent only. Compatibility (from SKILL.md): Works with any OpenAI-compatible LLM API from an AI coding agent context.

Does Smart Question Generator 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 Smart Question Generator 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 Smart Question Generator use?

Smart Question Generator has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Smart Question Generator use?

About 3.5k tokens (SKILL.md is roughly 14k 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 Smart Question Generator?

Skills that share tags, products or a category with Smart Question Generator: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Smart Question Generator?

digipulse-engineering (a GitHub organization) maintains it in digipulse-engineering/GAAI-framework, which has 163 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on September 29, 2026.

Source: digipulse-engineering/GAAI-framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.