Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
A skill your agent uses when composing an askuserquestion round inside a workflow, or when a workflow skill names it at a question step.
$ npx skills add JetBrains/thinkrail --skill asking-user-questions -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install JetBrains/thinkrail asking-user-questions --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/JetBrains/thinkrail.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/pi-thinkrail-workflow/skills/asking-user-questions .claude/skills/asking-user-questions && 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 "asking-user-questions" agent skill from https://github.com/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/asking-user-questions into .claude/skills/asking-user-questions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asking-user-questions", 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/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/asking-user-questionsType 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 JetBrains/thinkrail --skill asking-user-questions -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install JetBrains/thinkrail asking-user-questions --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JetBrains/thinkrail.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/pi-thinkrail-workflow/skills/asking-user-questions .agents/skills/asking-user-questions && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "asking-user-questions" agent skill from https://github.com/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/asking-user-questions into .agents/skills/asking-user-questions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asking-user-questions", 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 JetBrains/thinkrail --skill asking-user-questions -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install JetBrains/thinkrail asking-user-questions --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JetBrains/thinkrail.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/pi-thinkrail-workflow/skills/asking-user-questions .cursor/skills/asking-user-questions && 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 "asking-user-questions" agent skill from https://github.com/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/asking-user-questions into .cursor/skills/asking-user-questions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asking-user-questions", 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/JetBrains/thinkrail.git --path packages/pi-thinkrail-workflow/skills/asking-user-questions--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 JetBrains/thinkrail --skill asking-user-questions -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install JetBrains/thinkrail asking-user-questions --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JetBrains/thinkrail.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/pi-thinkrail-workflow/skills/asking-user-questions .gemini/skills/asking-user-questions && 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 "asking-user-questions" agent skill from https://github.com/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/asking-user-questions into .gemini/skills/asking-user-questions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asking-user-questions", 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 JetBrains/thinkrail asking-user-questionsInstalls 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 JetBrains/thinkrail --skill asking-user-questions -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/JetBrains/thinkrail.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/pi-thinkrail-workflow/skills/asking-user-questions .github/skills/asking-user-questions && 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 "asking-user-questions" agent skill from https://github.com/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/asking-user-questions into .github/skills/asking-user-questions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asking-user-questions", 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 JetBrains/thinkrail --skill asking-user-questions -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install JetBrains/thinkrail asking-user-questions --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JetBrains/thinkrail.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/pi-thinkrail-workflow/skills/asking-user-questions .opencode/skills/asking-user-questions && 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 "asking-user-questions" agent skill from https://github.com/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/asking-user-questions into .opencode/skills/asking-user-questions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asking-user-questions", 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.
asking-user-questionsA skill your agent uses when composing an askuserquestion round inside a workflow, or when a workflow skill names it at a question step.
Asking User Questions is an agent skill from JetBrains/thinkrail, published by the product's own GitHub organization. Use when composing an askuserquestion round inside a workflow, or when a workflow skill names it at a question step. Shared norms for the tool — not a workflow, nothing to execute.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development. The repository describes itself as: Vibe code with pi in a lightweight, real IDE that customises itself around the way you work — The Vibe You Need. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 57a1361. 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.
Asking User Questions loads about 1.9k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 1,098 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 JetBrains/thinkrail at commit 57a1361, republished under its Apache-2.0 licence (© JetBrains). 1,098 words, ~1,872 tokens.
.claude/skills/asking-user-questions/SKILL.md (or your agent's skills folder).The workflow family's shared norms for ask_user_question: how to interview in rounds, what makes a
question worth asking, how to shape options, and how to degrade when answers don't come. Process
skills name this concept at the steps that ask; when to ask — and where the answers get recorded —
stays with the referencing skill.
options[].preview — a mockup, snippet, or config — instead of describing it.recommendedReason saying
why you recommend it over the alternatives (shown inline under the option as a Why: line).multiSelect too: the free-text row stays and is additive — a typed answer arrives alongside the
checked options, it does not replace them.multiSelect: true when several answers are valid at once (feature checklists); single-select when
confirming something or choosing one path.options[].preview (markdown) when a concrete artifact — code, a config, a mockup — is clearer
shown than described. Single-select only.header is a short chip, ≤ 16 characters.When you have inferred something and need a yes/adjust rather than an open answer: the inferred statement is the question text, with "Looks right" as the first option (description: "accurate as written") and a genuine rejection option second (e.g. "Off base — ask me directly"). Edits arrive through the tool's automatic free-text row — do not author an edit option. Read the response as:
ask_user_question returns "not available"), state your
assumptions the same way instead of blocking.© JetBrains, Apache-2.0. 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 packages/pi-thinkrail-workflow/skills/asking-user-questions of JetBrains/thinkrail.
Open the folder on GitHubat commit 57a1361
Asking User Questions 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 |
|---|---|---|---|---|---|---|
| Asking User Questions this skillJetBrains/thinkrail | 514 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Composition Patternssupabase/supabase | 111k | 58 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 4 repos | ~1.1k | Automated safety check: Pass | MIT |
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
JetBrains/thinkrail
A skill your agent uses when asked to create the initial spec graph for an existing codebase that has source code but no specs.
JetBrains/thinkrail
A skill your agent uses when the workspace is empty, has no code, and the user brings a raw project idea.
JetBrains/thinkrail
A skill your agent uses when asked to set up, onboard, initialize, or spec a project with no spec graph, or when invoked by the app's Set-up-project card.
JetBrains/thinkrail
A skill your agent uses when finished work needs to ship as a pull request, or when creating, syncing, updating metadata, checking status, monitoring CI, or addressing review comments on a PR.
JetBrains/thinkrail
A skill your agent uses when locating, reading, creating, updating, or validating project specs, or when work is governed by or may alter a documented boundary, contract, invariant, behavior, or…
JetBrains/thinkrail
A skill your agent uses when the user asks for a shared plan, a task needs at least three substantive execution steps, or a loose TODO is pending.
Categories
A skill your agent uses when composing an askuserquestion round inside a workflow, or when a workflow skill names it at a question step. Asking User Questions is an agent skill from JetBrains/thinkrail, published by the product's own GitHub organization. Use when composing an askuserquestion round inside a workflow, or when a workflow skill names it at a question step.
Asking User Questions fits situations like: composing an askuserquestion round inside a workflow; A workflow skill names it at a question step.
Run `npx skills add JetBrains/thinkrail --skill asking-user-questions -a claude-code`. Or copy the skill folder (packages/pi-thinkrail-workflow/skills/asking-user-questions in JetBrains/thinkrail) into .claude/skills/asking-user-questions in your project. Claude Code loads it when a task matches its description.
Run `npx skills add JetBrains/thinkrail --skill asking-user-questions -a codex`. Or copy the skill folder (packages/pi-thinkrail-workflow/skills/asking-user-questions in JetBrains/thinkrail) into .agents/skills/asking-user-questions 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 JetBrains/thinkrail --skill asking-user-questions -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/asking-user-questions, .gemini/skills/asking-user-questions, .github/skills/asking-user-questions and .opencode/skills/asking-user-questions in your project.
SKILL.md names no scripts, command-line tools or credentials: Asking User Questions 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.
Asking User Questions is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.5k 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 Asking User Questions: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
JetBrains (a GitHub organization, an official publisher) maintains it in JetBrains/thinkrail, which has 514 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 10, 2026.
Source: JetBrains/thinkrail on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.