Agent skill

Tech Interview Prep

by revfactory in revfactory/harness-100

A specialized skill for systematically supporting developer technical interview preparation.

Apache-2.0Auto-check passedBusiness, Finance & HR

Install Tech Interview Prep

skills CLI
$ npx skills add revfactory/harness-100 --skill tech-interview-prep -a claude-code

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

GitHub CLI
$ gh skill install revfactory/harness-100 tech-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/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/59-coding-bootcamp/.claude/skills/tech-interview-prep .claude/skills/tech-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
tech-interview-prep
GitHub stars
1.3k
Token cost
~1.2k tokens
SKILL.md length
284 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

A specialized skill for systematically supporting developer technical interview preparation.

  • Works in 3 steps: Coding Interview → System Design Interview → Behavioral Interview
  • Tasks that involve Interview preparation
  • SKILL.md covers Target Agent, Three Pillars of Technical…, Portfolio-to-Interview… and Interview Preparation Checklist
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tech Interview Prep is an agent skill from revfactory/harness-100. A specialized skill for systematically supporting developer technical interview preparation. Used by the mentor agent to prepare portfolio-based interview strategies, system design interviews, and behavioral interviews (STAR). Automatically applied in contexts such as 'technical interview', 'coding interview', 'system design', 'STAR interview', 'behavioral interview', 'developer interview prep'. However, conducting live mock interviews and providing company internal information are outside the scope of this skill.

Its SKILL.md is about 1.2k 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 Business, Finance & HR, covering Interview preparation. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Interview preparation

Example prompts

  • “technical interview”
  • “coding interview”
  • “system design”
  • “/tech-interview-prep”

Workflow steps

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

  1. Coding Interview
  2. System Design Interview
  3. Behavioral Interview

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. 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 markdown).

    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

Tech Interview Prep loads about 1.2k tokens when it runs. Until then it costs about 135 tokens; SKILL.md has 284 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
~1.2k

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 revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 284 words, ~1,222 tokens.

Download SKILL.mdSave it as .claude/skills/tech-interview-prep/SKILL.md (or your agent's skills folder).
name
tech-interview-prep
description
A specialized skill for systematically supporting developer technical interview preparation. Used by the mentor agent to prepare portfolio-based interview strategies, system design interviews, and behavioral interviews (STAR). Automatically applied in contexts such as 'technical interview', 'coding interview', 'system design', 'STAR interview', 'behavioral interview', 'developer interview prep'. However, conducting live mock interviews and providing company internal information are outside the scope of this skill.

Tech Interview Prep — Developer Technical Interview Preparation Tool

A specialized skill that enhances the mentor agent's interview preparation support capabilities.

Target Agent

  • mentor — Project design, portfolio, career coaching

Three Pillars of Technical Interviews

1. Coding Interview
Key Topics and Frequency
TopicFrequencyEssential Patterns
Arrays/StringsVery highTwo Pointers, Sliding Window
Hash MapsHighFrequency counting, grouping
Trees/GraphsHighDFS, BFS, shortest path
DPMediumTop-down, Bottom-up
Stacks/QueuesMediumMonotone stack, BFS
Binary SearchMediumParametric Search
Problem-Solving Framework (UMPIRE)
U - Understand: Fully understand the problem (ask about edge cases)
M - Match: Match to known patterns
P - Plan: Write pseudocode
I - Implement: Write the code
R - Review: Code review + time/space complexity analysis
E - Evaluate: Run test cases + discuss optimization
2. System Design Interview
Approach Framework (4 Steps)
[Step 1] Requirements Definition (5 min)
  - Functional requirements (3-5 core features)
  - Non-functional requirements (DAU, QPS, latency, availability)
  - Scale estimation (Back-of-the-envelope estimation)

[Step 2] High-Level Design (10 min)
  - Core component diagram
  - API design (RESTful endpoints)
  - Data model (schema design)

[Step 3] Detailed Design (15 min)
  - Identify and resolve bottlenecks
  - Scalability strategy (horizontal/vertical scaling)
  - Caching, messaging, CDN, etc.

[Step 4] Trade-off Discussion (5 min)
  - CAP theorem-based rationale
  - Comparison with alternatives
  - Monitoring/failure response
Key System Design Topics
TopicKey PointsDifficulty
URL ShortenerHash functions, collision handling, redirectBeginner
Rate LimiterToken Bucket, distributed countersBeginner
Chat SystemWebSocket, message queues, read receiptsIntermediate
News FeedFan-out, caching, rankingIntermediate
Search EngineInverted index, distributed crawlingAdvanced
Video StreamingCDN, adaptive bitrate, transcodingAdvanced
3. Behavioral Interview
STAR Framework
S - Situation: Describe the background/context (briefly)
T - Task: Your role/assignment (specifically)
A - Action: Actions taken (why + how)
R - Result: Outcomes (quantitative + lessons learned)
Key Question Types and Preparation Points
Question TypeExampleAnswer Focus
Technical challenge"Tell me about a difficult bug you solved"Debugging process, systematic approach
Conflict resolution"Describe a disagreement with a teammate"Active listening, data-driven persuasion
Leadership"Tell me about leading a team"Goal setting, motivation
Failure experience"What did you learn from a failure?"Self-awareness, growth
Prioritization"How do you handle multiple tasks?"Time management, decision criteria

Portfolio-to-Interview Connection Strategy

Project Presentation Framework
markdown
### Project: [Project Name]

**Tech stack**: [Technologies used]
**Duration**: [Duration]
**Team size**: [N people, your role]

**Why did you choose this technology?**
-> [Alternatives compared + selection rationale]

**What was the most difficult technical challenge?**
-> [Problem -> attempts -> solution -> outcome]

**What would you do differently if you did it again?**
-> [Self-reflection + evidence of growth]

**Quantitative outcomes:**
-> [Performance improvement %, user count, code quality metrics]

Interview Preparation Checklist

Coding Interview (2-4 weeks before)
  • Solve 2-3 problems for each of the 20 core patterns
  • Practice under time constraints (45 min/problem)
  • Practice explaining thought process out loud
System Design (1-2 weeks before)
  • Practice designing 6-8 major systems
  • Practice back-of-the-envelope calculations
  • Prepare trade-off discussions
Behavioral Interview (1 week before)
  • Prepare 5-7 STAR stories
  • Prepare in-depth presentations on 3 projects
  • Research each company's culture/values

© revfactory, 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 en/59-coding-bootcamp/.claude/skills/tech-interview-prep of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Tech 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.

Tech Interview Prep compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tech Interview Prep this skillrevfactory/harness-1001.3k—~1.2kAutomated safety check: PassApache-2.0
Career-Ops Job Search Centercareer-ops-hq/career-ops74k—~3.3kAutomated safety check: PassMIT
Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool2.1k—~2.3kAutomated safety check: PassCustom licence
Interview Coachnoamseg/interview-coach-skill2.3k—~3.7kAutomated safety check: PassMIT
Job Application AssistantMadsLorentzen/ai-job-search45k—~1.2kAutomated safety check: NotesMIT
Algo Senseikaranb192/algo-sensei284—~1.7kAutomated safety check: PassMIT

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Questions about Tech Interview Prep

What does Tech Interview Prep do?

A specialized skill for systematically supporting developer technical interview preparation. Tech Interview Prep is an agent skill from revfactory/harness-100. A specialized skill for systematically supporting developer technical interview preparation.

When should I use Tech Interview Prep?

Tech Interview Prep fits situations like: tasks that involve Interview preparation.

How do I install Tech Interview Prep in Claude Code?

Run `npx skills add revfactory/harness-100 --skill tech-interview-prep -a claude-code`. Or copy the skill folder (en/59-coding-bootcamp/.claude/skills/tech-interview-prep in revfactory/harness-100) into .claude/skills/tech-interview-prep in your project. Claude Code loads it when a task matches its description.

How do I install Tech Interview Prep in Codex?

Run `npx skills add revfactory/harness-100 --skill tech-interview-prep -a codex`. Or copy the skill folder (en/59-coding-bootcamp/.claude/skills/tech-interview-prep in revfactory/harness-100) into .agents/skills/tech-interview-prep in your project. Codex loads it when a task matches its description.

Can I use Tech 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 revfactory/harness-100 --skill tech-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/tech-interview-prep, .gemini/skills/tech-interview-prep, .github/skills/tech-interview-prep and .opencode/skills/tech-interview-prep in your project.

What does Tech Interview Prep need to run?

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

Does Tech 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 Tech 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 Tech Interview Prep use?

Tech Interview Prep 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 Tech Interview Prep use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Tech Interview Prep?

Skills that share tags, products or a category with Tech 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), Interview Coach (noamseg/interview-coach-skill, 2.3k stars) and Job Application Assistant (MadsLorentzen/ai-job-search, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tech Interview Prep?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.