Agent skill

Interview Prep

by scott-fryxell in scott-fryxell/brayness

Helps research a company and prepare for its hiring process -- company research, why-this-company/role fit exploration, behavioral (STAR) prep, technical/DSA prep, and tracking hiring stages through…

MITAuto-check passedBusiness, Finance & HR

Install Interview Prep

skills CLI
$ npx skills add scott-fryxell/brayness --skill interview-prep -a claude-code

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

GitHub CLI
$ gh skill install scott-fryxell/brayness interview-prep --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/scott-fryxell/brayness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/interview-prep .claude/skills/interview-prep && 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
interview-prep
GitHub stars
125
Token cost
~910 tokens
SKILL.md length
433 words
Files
6 (incl. references, assets)
Skills in repo
27
Repo updated
First seen
Licence
MIT

At a glance

Helps research a company and prepare for its hiring process -- company research, why-this-company/role fit exploration, behavioral (STAR) prep, technical/DSA prep, and tracking hiring stages through…

  • Works in 6 steps: Capture the target. Get company name,… → Research the company. Read… → Explore the fit. Read… → …
  • Asked to research this company
  • SKILL.md covers Workflow, Baselining and Notes
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Interview Prep is an agent skill from scott-fryxell/brayness. Helps research a company and prepare for its hiring process -- company research, why-this-company/role fit exploration, behavioral (STAR) prep, technical/DSA prep, and tracking hiring stages through offer and negotiation. Use when asked to "research this company", "prepare for an interview at X", "help me get ready for an interview", "practice for a coding interview", "should I apply to X", "what's interesting about this company", "track my job search", or when the user names a target company/role they want to…

Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files and assets (for example `assets/company-note-template.md`, `references/fit-and-story-bank.md` and `references/process-and-tracker.md`).

It sits in Business, Finance & HR, covering Interview preparation, Sales call preparation and Job search and resumes. The repository describes itself as: A harness for the anxious digital mind. A safe place for creatives to keep their creative soul while exploring digital skills. The licence is MIT.

When your agent uses it

  • Asked to research this company
  • Prepare for an interview at X
  • Help me get ready for an interview
  • Practice for a coding interview

Example prompts

  • “research this company”
  • “prepare for an interview at X”
  • “help me get ready for an interview”
  • “/interview-prep”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Capture the target. Get company name, role, and how it came up (referral, job post, cold interest). Create 02 Areas/Job Hunt/Companies/.md…
  2. Research the company. Read references/research.md. Use WebSearch/WebFetch to fill in product, stage, recent news, tech stack, competitors…
  3. Explore the fit. Read references/fit-and-story-bank.md. Work through why this is actually interesting (not generic enthusiasm)…
  4. Prep for the format. Determine what rounds are coming (or likely, from research/role type)
  5. Track through the process. Read references/process-and-tracker.md. Update tracker.md and the company note's hiring-process table as stages…
  6. Offer stage. When an offer lands, use the negotiation section of references/process-and-tracker.md before any number gets discussed live.

What it can do on your machine

Read from SKILL.md and the folder at commit 71f10e2. 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

Interview Prep loads about 910 tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 135 tokens; SKILL.md has 433 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~135
When it runs · the whole SKILL.md, loaded when a task matches
~910
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.8k

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 scott-fryxell/brayness at commit 71f10e2, republished under its MIT licence (© scott-fryxell). 433 words, ~910 tokens.

Download SKILL.mdSave it as .claude/skills/interview-prep/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
interview-prep
description
Helps research a company and prepare for its hiring process -- company research, why-this-company/role fit exploration, behavioral (STAR) prep, technical/DSA prep, and tracking hiring stages through offer and negotiation. Use when asked to "research this company", "prepare for an interview at X", "help me get ready for an interview", "practice for a coding interview", "should I apply to X", "what's interesting about this company", "track my job search", or when the user names a target company/role they want to pursue.

Interview Prep

Prepares a target company/role end-to-end: research, fit, behavioral prep, technical prep, and process tracking. All notes live in the vault under 02 Areas/Job Hunt/ (work/vault/02 Areas/Job Hunt/) -- see references/process-and-tracker.md for the exact layout.

Workflow

  1. Capture the target. Get company name, role, and how it came up (referral, job post, cold interest). Create 02 Areas/Job Hunt/Companies/<company-slug>.md from assets/company-note-template.md if it doesn't exist. Add a row to 02 Areas/Job Hunt/tracker.md.

  2. Research the company. Read references/research.md. Use WebSearch/WebFetch to fill in product, stage, recent news, tech stack, competitors, culture signals. Write findings into the company note.

  3. Explore the fit. Read references/fit-and-story-bank.md. Work through why this is actually interesting (not generic enthusiasm), cross-check the vault for existing related interests, and draft 2-3 tailored questions to ask interviewers.

  4. Prep for the format. Determine what rounds are coming (or likely, from research/role type):

    • Behavioral round -> references/fit-and-story-bank.md STAR story bank.
    • Technical/DSA round -> references/technical-prep.md, including work/kata-machine for hands-on practice.
    • System design or take-home -> same file, relevant section.
  5. Track through the process. Read references/process-and-tracker.md. Update tracker.md and the company note's hiring-process table as stages happen. Log post-interview notes right after each round while it's fresh.

  6. Offer stage. When an offer lands, use the negotiation section of references/process-and-tracker.md before any number gets discussed live.

Show full SKILL.md (221 more words)Show less

Baselining

An interview is a shared baseline before it is a performance. Scott's pattern: answer one part of a question, get to a shared footing on that part, then answer the rest from there. Advancing to the next question before the floor is set reads as noise, not rigor.

So when running a mock, bring him back. Confirm the part that landed, name it in one line, then return to the same question for the next layer. One question at a time. Don't advance until the current question has a floor.

This is also the thing he is evaluating. Can we set a comfortable baseline with this company - can each side bring the other up to speed and keep them involved - is a real criterion, not a soft one. Technical depth still has to be covered; it just doesn't count if nobody is standing on the same ground.

Notes

  • Don't fabricate company facts (funding numbers, headcount, exec names) when research doesn't turn up a confident source -- state what's unknown instead.
  • Keep the STAR story bank and DSA study notes reusable across companies; keep research and process notes per-company.
  • If the user drops an external resource (a video, article) for a DSA topic, file it into that topic's vault study note (02 Areas/Job Hunt/Study/<topic>.md - see references/technical-prep.md) rather than losing it in conversation.

© scott-fryxell, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references, assets) in skills/interview-prep of scott-fryxell/brayness.

  • SKILL.md
  • assets/company-note-template.md
  • references/fit-and-story-bank.md
  • references/process-and-tracker.md
  • references/research.md
  • references/technical-prep.md

Open the folder on GitHubat commit 71f10e2

Compare with similar skills

Interview Prep 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.

Interview Prep compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Interview Prep this skillscott-fryxell/brayness125—~910Automated safety check: PassMIT
Career-Ops Job Search Centercareer-ops-hq/career-ops74k—~3.6kAutomated safety check: PassMIT
Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool2.1k—~2.3kAutomated safety check: PassCustom licence
Job Application AssistantMadsLorentzen/ai-job-search45k—~1.2kAutomated safety check: NotesMIT
Backend and Agent Project Selectorlishuangqiang/backend-agent-resume-scout349—~1.4kAutomated safety check: PassApache-2.0
LLM Intern Skillwanyichen06/LLMInternSkill325—~1.2kAutomated safety check: PassMIT

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Questions about Interview Prep

What does Interview Prep do?

Helps research a company and prepare for its hiring process -- company research, why-this-company/role fit exploration, behavioral (STAR) prep, technical/DSA prep, and tracking hiring stages through…. Interview Prep is an agent skill from scott-fryxell/brayness. Helps research a company and prepare for its hiring process -- company research, why-this-company/role fit exploration, behavioral (STAR) prep, technical/DSA prep, and tracking hiring stages through offer and negotiation.

When should I use Interview Prep?

Interview Prep fits situations like: asked to research this company; prepare for an interview at X; help me get ready for an interview; practice for a coding interview.

How do I install Interview Prep in Claude Code?

Run `npx skills add scott-fryxell/brayness --skill interview-prep -a claude-code`. Or copy the skill folder (skills/interview-prep in scott-fryxell/brayness) into .claude/skills/interview-prep in your project. Claude Code loads it when a task matches its description.

How do I install Interview Prep in Codex?

Run `npx skills add scott-fryxell/brayness --skill interview-prep -a codex`. Or copy the skill folder (skills/interview-prep in scott-fryxell/brayness) into .agents/skills/interview-prep in your project. Codex loads it when a task matches its description.

Can I use Interview Prep 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 scott-fryxell/brayness --skill interview-prep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/interview-prep, .gemini/skills/interview-prep, .github/skills/interview-prep and .opencode/skills/interview-prep in your project.

What does Interview Prep need to run?

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

Does Interview Prep 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 Interview Prep 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 Interview Prep use?

Interview Prep 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 Interview Prep use?

About 910 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Interview Prep?

Skills that share tags, products or a category with Interview Prep: Career-Ops Job Search Center (career-ops-hq/career-ops, 74k stars), Internship Project Preparation Tool (LiuMengxuan04/shushu-internship-tool, 2.1k stars), Job Application Assistant (MadsLorentzen/ai-job-search, 45k stars) and Backend and Agent Project Selector (lishuangqiang/backend-agent-resume-scout, 349 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Interview Prep?

scott-fryxell (a GitHub user) maintains it in scott-fryxell/brayness, which has 125 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on September 28, 2026.

Source: scott-fryxell/brayness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.