DeepTutor CLI
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
Clarify ambiguous requests with a focused, Socratic interview before planning or implementation.
Install Deep Interview
$ npx skills add PacificStudio/openase --skill deep-interview -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install PacificStudio/openase deep-interview --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/PacificStudio/openase.git skills-src && mkdir -p .claude/skills && cp -r skills-src/internal/builtin/skills/deep-interview .claude/skills/deep-interview && 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 "deep-interview" agent skill from https://github.com/PacificStudio/openase/tree/main/internal/builtin/skills/deep-interview into .claude/skills/deep-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-interview", 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/PacificStudio/openase/tree/main/internal/builtin/skills/deep-interviewType 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 PacificStudio/openase --skill deep-interview -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install PacificStudio/openase deep-interview --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PacificStudio/openase.git skills-src && mkdir -p .agents/skills && cp -r skills-src/internal/builtin/skills/deep-interview .agents/skills/deep-interview && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deep-interview" agent skill from https://github.com/PacificStudio/openase/tree/main/internal/builtin/skills/deep-interview into .agents/skills/deep-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-interview", 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 PacificStudio/openase --skill deep-interview -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install PacificStudio/openase deep-interview --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PacificStudio/openase.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/internal/builtin/skills/deep-interview .cursor/skills/deep-interview && 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 "deep-interview" agent skill from https://github.com/PacificStudio/openase/tree/main/internal/builtin/skills/deep-interview into .cursor/skills/deep-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-interview", 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/PacificStudio/openase.git --path internal/builtin/skills/deep-interview--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 PacificStudio/openase --skill deep-interview -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install PacificStudio/openase deep-interview --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PacificStudio/openase.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/internal/builtin/skills/deep-interview .gemini/skills/deep-interview && 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 "deep-interview" agent skill from https://github.com/PacificStudio/openase/tree/main/internal/builtin/skills/deep-interview into .gemini/skills/deep-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-interview", 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 PacificStudio/openase deep-interviewInstalls 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 PacificStudio/openase --skill deep-interview -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/PacificStudio/openase.git skills-src && mkdir -p .github/skills && cp -r skills-src/internal/builtin/skills/deep-interview .github/skills/deep-interview && 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 "deep-interview" agent skill from https://github.com/PacificStudio/openase/tree/main/internal/builtin/skills/deep-interview into .github/skills/deep-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-interview", 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 PacificStudio/openase --skill deep-interview -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install PacificStudio/openase deep-interview --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PacificStudio/openase.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/internal/builtin/skills/deep-interview .opencode/skills/deep-interview && 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 "deep-interview" agent skill from https://github.com/PacificStudio/openase/tree/main/internal/builtin/skills/deep-interview into .opencode/skills/deep-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-interview", 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.
Facts
- Skill name
deep-interview- GitHub stars
- 268
- Token cost
- ~866 tokens
- SKILL.md length
- 473 words
- Files
- 1
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Clarify ambiguous requests with a focused, Socratic interview before planning or implementation.
- Works in 7 steps: Start with context you can gather… → Ask one question at a time. → Prioritize requirement clarity in this… → …
- Tasks that involve Tutoring and explanations
- SKILL.md covers Overview, When To Use, Do Not Use and Workflow, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Deep Interview is an agent skill from PacificStudio/openase. Clarify ambiguous requests with a focused, Socratic interview before planning or implementation.
Its SKILL.md is about 870 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 Education, covering Tutoring and explanations. The repository describes itself as: Ticket-Driven Automated Software Engineering. OpenASE is an all-in-one platform that turns tickets into working code — AI agents automatically pick up tickets, execute workflows… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Tutoring and explanations
Example prompts
- “/deep-interview”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Start with context you can gather yourself.
- Ask one question at a time.
- Prioritize requirement clarity in this order.
- Pressure-test each important answer.
- Keep the interview efficient.
- Crystallize the result into a requirement brief.
- Hand off cleanly.
What it can do on your machine
Read from SKILL.md and the folder at commit e530faf. 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
Deep Interview loads about 866 tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 473 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.
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 PacificStudio/openase at commit e530faf, republished under its Apache-2.0 licence (© PacificStudio). 473 words, ~866 tokens.
Download SKILL.mdSave it as
.claude/skills/deep-interview/SKILL.md (or your agent's skills folder).- name
- deep-interview
- description
- Clarify ambiguous requests with a focused, Socratic interview before planning or implementation.
Deep Interview
Overview
Use this skill when the request is broad, ambiguous, or missing concrete acceptance criteria. Its job is to turn a vague idea into an execution-ready requirement brief before deeper planning or implementation begins.
When To Use
- The user wants to explore a broad idea without making hidden assumptions.
- The request lacks clear scope, non-goals, or success criteria.
- A later planning or execution step would otherwise guess at intent.
- The change touches an existing codebase and the current pattern or boundary is still unclear.
Do Not Use
- The request already names concrete files, symbols, errors, or acceptance criteria.
- The user explicitly wants to skip clarification and accept the risk.
- A complete requirement brief or implementation plan already exists.
Workflow
Start with context you can gather yourself.
- Inspect the codebase, docs, or surrounding ticket context before asking the user about project internals.
- Summarize what is already known and which parts are still assumptions.
Ask one question at a time.
- Do not batch multiple unrelated questions.
- Ask the highest-leverage unresolved question first.
Prioritize requirement clarity in this order.
- Intent: why the user wants the change.
- Outcome: what end state should exist when the work is done.
- Scope: how far the change should go.
- Non-goals: what should stay out of scope.
- Decision boundaries: what the agent may decide without asking again.
- Constraints: technical, business, operational, or timeline limits.
- Success criteria: how completion will be judged.
Pressure-test each important answer.
- Ask for an example, counterexample, or concrete signal.
- Surface the hidden assumption behind the answer.
- Force a boundary or tradeoff when the scope is still fuzzy.
- If the user is describing symptoms, steer back toward the underlying problem.
Keep the interview efficient.
- Prefer evidence-backed confirmation questions for brownfield work.
- Do not ask the user for facts you can inspect directly.
- Stop once the request is clear enough to plan, not after exhausting every possible question.
Crystallize the result into a requirement brief.
- Intent
- Desired outcome
- In-scope work
- Out-of-scope / non-goals
- Decision boundaries
- Constraints
- Testable acceptance criteria
- Open risks or residual ambiguity
Hand off cleanly.
- If implementation approach still needs review, hand off to a planning step.
- If the request is now concrete enough to execute, pass the brief forward as the source of truth.
Show full SKILL.md (95 more words)Show less
Operating Rules
- Ask about intent and boundaries before implementation details.
- Do not rotate topics just for coverage when one answer is still vague.
- Revisit at least one earlier answer with a deeper follow-up before declaring the brief complete.
- Do not hand off while non-goals or decision boundaries remain implicit.
- If the user chooses to proceed early, explicitly record the residual risk.
Default Deliverable Shape
Return these sections when the interview is complete:
IntentDesired OutcomeIn ScopeOut of ScopeDecision BoundariesConstraintsAcceptance CriteriaResidual Risks
© PacificStudio, 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
Files
Just SKILL.md in internal/builtin/skills/deep-interview of PacificStudio/openase.
Open the folder on GitHubat commit e530faf
Compare with similar skills
Deep Interview 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 |
|---|---|---|---|---|---|---|
| Deep Interview this skillPacificStudio/openase | 268 | — | ~866 | Automated safety check: Pass | Apache-2.0 | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| AI Engineering Project Tutorrohitg00/ai-engineering-from-scratch | 66k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Hung-Yi Lee Teaching Stylevoidful/hung-yi-lee-skill | 1.3k | — | ~13k | Automated safety check: Pass | None | |
| Claude Certification Tutorrohitg00/ai-engineering-from-scratch | 66k | — | ~3k | Automated safety check: Pass | MIT | |
| StudyVault Quiz Tutorbevibing/tutor-skills | 1.3k | — | ~1.4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Deep Interview
What does Deep Interview do?
Clarify ambiguous requests with a focused, Socratic interview before planning or implementation. Deep Interview is an agent skill from PacificStudio/openase. Clarify ambiguous requests with a focused, Socratic interview before planning or implementation.
When should I use Deep Interview?
Deep Interview fits situations like: tasks that involve Tutoring and explanations.
How do I install Deep Interview in Claude Code?
Run `npx skills add PacificStudio/openase --skill deep-interview -a claude-code`. Or copy the skill folder (internal/builtin/skills/deep-interview in PacificStudio/openase) into .claude/skills/deep-interview in your project. Claude Code loads it when a task matches its description.
How do I install Deep Interview in Codex?
Run `npx skills add PacificStudio/openase --skill deep-interview -a codex`. Or copy the skill folder (internal/builtin/skills/deep-interview in PacificStudio/openase) into .agents/skills/deep-interview in your project. Codex loads it when a task matches its description.
Can I use Deep Interview 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 PacificStudio/openase --skill deep-interview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-interview, .gemini/skills/deep-interview, .github/skills/deep-interview and .opencode/skills/deep-interview in your project.
What does Deep Interview need to run?
SKILL.md names no scripts, command-line tools or credentials: Deep Interview is instructions for the agent only.
Does Deep Interview 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 Deep Interview 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 Deep Interview use?
Deep Interview 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.
How many tokens does Deep Interview use?
About 866 tokens (SKILL.md is roughly 3.5k 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 Deep Interview?
Skills that share tags, products or a category with Deep Interview: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Project Tutor (rohitg00/ai-engineering-from-scratch, 66k stars), Hung-Yi Lee Teaching Style (voidful/hung-yi-lee-skill, 1.3k stars) and Claude Certification Tutor (rohitg00/ai-engineering-from-scratch, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Interview?
PacificStudio (a GitHub organization) maintains it in PacificStudio/openase, which has 268 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on August 9, 2026.
Source: PacificStudio/openase on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.