mock-interview
Skill0 starsChanged 29 days agoMITView on GitHub
Runs a realistic mock interview for a specific job, one question at a time, and scores each answer with quotes from what the user said and a concrete fix. Uses the job and CV stored in ApplyArc when connected. Use when the user says "mock interview", "practise my interview", "quiz me", "play the interviewer", "grill me" or "how was that answer". For building stories and a prep pack first, use interview-prep.
17 other projects use a version of this.
Adopted by
Most recently taken up by
- mtibebu/technical-learning-labtheir own version, first seen Nov 8, 2026
- georgesmomo/mock-interviewtheir own version, first seen Nov 8, 2026
- nishant-Tiwari24/crackedtheir own version, first seen Nov 8, 2026
- ZoolCoder/scoutjobstheir own version, first seen Nov 1, 2026
- seonwooj0810/careerlooptheir own version, first seen Oct 20, 2026
- alexyc9381/mock-interview-skilltheir own version, first seen Oct 20, 2026
Used with
Projects with it also use follow-up and cover-letter.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
n24q02mSkillfollow-up
Find emails needing follow-up -- unanswered sent emails, flagged unreplied, draft contextual responses
Also in 3 projects that use this
claude-office-skillsSkillcover-letter
>
Also in 3 projects that use this
Other versions17 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 17
- thesun4sky/jobstack★ 50same name
- TrainWithShubham/skills★ 43same name
- nishant-Tiwari24/cracked★ 5same name
- kevinaimonster/skill-hub★ 4same name
- ZoolCoder/scoutjobs★ 4same name
- alexyc9381/mock-interview-skill★ 3same name
- marco-souza/skills★ 3same name
- FFForeverCode/Skills-For-Me★ 2same name
- georgesmomo/mock-interview★ 2same name
- palashjain95/jobhunter★ 2same name
7 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository6 other files it gives its agents.
- cv-bullet-writerSkill
- interview-prepSkill
- job-applicationSkill
- job-finderSkill
- offer-negotiationSkill
- pipeline-coachSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 13 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
One question at a time: Wait for the answer. Do not answer for the user.
- Distinctive: line 20
No live use: Do not run this during a real interview.
- Very specific: line 25
Ask for the role and company, or call list_my_jobs with status: "interview" and let the user pick.
- Distinctive: line 36
Ask the question. Add one realistic follow-up probe if the answer is vague ("What did you personally do?", "What was the result?").
- Very specific: line 38
If the user is stuck, offer prepare_star_answer for that question as a hint, then let them try again in their own words.
“Common” is measured: kept by at least 6 in 10 of the 13 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Mock interview
Play the interviewer for one role so the user can practise out loud (or in
text) and get honest, specific feedback. Uses the ApplyArc MCP server
(applyarc) for the job and CV when available.
Ground rules
- Stay in role while asking questions; step out only for feedback.
- One question at a time. Wait for the answer. Do not answer for the user.
- Quote, then fix. Feedback cites the user's own words and gives one specific improvement, not generic advice.
- Be kind and honest. Praise what worked first, then the most important fix. Never invent a better story for them; ask for real detail instead.
- No live use. Do not run this during a real interview.
- British English. No em dashes.
Set-up
- Ask for the role and company, or call
list_my_jobswithstatus: "interview"and let the user pick. Callget_my_profileto tailor questions to their background. - Agree the format: round type (screen, competency, hiring manager, panel, technical), number of questions (default 5), difficulty (friendly, standard, tough), and whether to give feedback after each answer or at the end.
- Pick questions that match the posting's must-haves and the round, mixing one opener, three or four competency questions and one curveball.
During the interview
- Ask the question. Add one realistic follow-up probe if the answer is vague ("What did you personally do?", "What was the result?").
- If the user is stuck, offer
prepare_star_answerfor that question as a hint, then let them try again in their own words.
Scoring each answer
Score 1 to 5 on each:
| Area | 5 looks like |
| Relevance | Answers the actual question and the competency behind it. |
| Structure | Clear STAR, about 2 minutes, no long preamble. |
| Ownership | "I" not "we"; specific actions and choices. |
| Evidence | A number or concrete outcome the user can back up. |
| Delivery | Confident, concise, ends cleanly. |
Then give: one quote that worked, one quote to change, and a rewritten line using only facts the user has said.
Wrap-up
Summarise overall strengths, the two biggest fixes and which story to
strengthen. Offer to run interview-prep on weak areas, or a second round at a
higher difficulty. If they have a real interview booked, offer
update_job_status to interview for that job if it is not already there.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

