Agent skill

Interview Knowledge Track

by ProgrammerAnthony in ProgrammerAnthony/Expert-Coding-Harness

三阶段面试知识点追踪:英文命令 split-knowledge(知识点拆分与 KB-INDEX)、research-topic(按主题检索落盘 opensource + interview-drill)、synthesize-topic(结合 KB 原文与第二步产出,写入经历绑定的架构与面试 Markdown)。别名…

MITAuto-check passed

Install Interview Knowledge Track

skills CLI
$ npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill interview-knowledge-track -a claude-code

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

GitHub CLI
$ gh skill install ProgrammerAnthony/Expert-Coding-Harness interview-knowledge-track --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/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/interview-knowledge-track .claude/skills/interview-knowledge-track && 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-knowledge-track
GitHub stars
235
Token cost
~880 tokens
SKILL.md length
147 words
Files
4
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

三阶段面试知识点追踪:英文命令 split-knowledge(知识点拆分与 KB-INDEX)、research-topic(按主题检索落盘 opensource + interview-drill)、synthesize-topic(结合 KB 原文与第二步产出,写入经历绑定的架构与面试 Markdown)。别名…

  • Works in 4 steps: 原文保留区:完整粘贴用户输入(或注明读取的文件路径 +… → 知识单元表:每行至少包含:序号、知识点名称、slug、来源原文摘录(精确到句)、状… → 拆分规则:技术栈/框架/领域词拆为可独立检索单元;同一句话可对应多个单元(摘录可重… → …
  • SKILL.md covers 权威切片与参考, 目标与边界, 英文命令(用户口述即可) and 工作根目录与文件命名, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Interview Knowledge Track is an agent skill from ProgrammerAnthony/Expert-Coding-Harness. 三阶段面试知识点追踪:英文命令 split-knowledge(知识点拆分与 KB-INDEX)、research-topic(按主题检索落盘 opensource + interview-drill)、synthesize-topic(结合 KB 原文与第二步产出,写入经历绑定的架构与面试 Markdown)。别名 kp-split、topic-research、topic-synthesize。中文触发:知识点拆分、按主题检索、业务梳理、薄弱点追踪、KB-INDEX。默认工作目录 interview-knowledge-track/;不自动改写用户工作区文件,除非用户明确要求。自包含,不绑定特定简历路径或仓库结构。

Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `prompts/step2-architecture.md`, `prompts/step2-interview-drill.md` and `prompts/step3-synthesis.md`).

The repository describes itself as: 生产级 AI Agent 技能集,辅助AI Harness应用于企业开发,覆盖代码审查、代码安全审计、TDD、需求工程、实施计划与子代理编排、架构设计、调试、前端开发与技能创建全流程。 The licence is MIT.

Example prompts

  • “/interview-knowledge-track”

Workflow steps

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

  1. 原文保留区:完整粘贴用户输入(或注明读取的文件路径 + 可选校验信息如段落范围/哈希),满足不丢失原信息。
  2. 知识单元表:每行至少包含:序号、知识点名称、slug、来源原文摘录(精确到句)、状态、对应目录。
  3. 拆分规则:技术栈/框架/领域词拆为可独立检索单元;同一句话可对应多个单元(摘录可重复或附注「共现句」)。
  4. 元数据:生成日期、工作根路径。

What it can do on your machine

Read from SKILL.md and the folder at commit ab0b827. 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 mermaid).

    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 Knowledge Track loads about 880 tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 147 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~880

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 ProgrammerAnthony/Expert-Coding-Harness at commit ab0b827, republished under its MIT licence (© ProgrammerAnthony). 147 words, ~880 tokens.

Download SKILL.mdSave it as .claude/skills/interview-knowledge-track/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
interview-knowledge-track
description
三阶段面试知识点追踪:英文命令 split-knowledge(知识点拆分与 KB-INDEX)、research-topic(按主题检索落盘 opensource + interview-drill)、synthesize-topic(结合 KB 原文与第二步产出,写入经历绑定的架构与面试 Markdown)。别名 kp-split、topic-research、topic-synthesize。中文触发:知识点拆分、按主题检索、业务梳理、薄弱点追踪、KB-INDEX。默认工作目录 interview-knowledge-track/;不自动改写用户工作区文件,除非用户明确要求。自包含,不绑定特定简历路径或仓库结构。

Interview Knowledge Track(面试知识点三阶段追踪)

权威切片与参考

  • 分步执行的详细指令以本 skill 目录下 prompts/ 为唯一必需依据。
  • 若工作区里另有用户自维护的「架构/面试」长提示词,仅可在不冲突时作语气参考;非必需,也不假定其路径或文件名。

目标与边界

  • 目标:用三条英文命令驱动「拆知识点 → 按点检索沉淀 → 结合候选人自述文本做架构+面试合成」,定位表述中的薄弱技术点。
  • 输入:第一步仅使用用户粘贴内容,或用户显式给出路径并要求读取的文件;不假定、不自动加载工作区内任何其它文件。
  • 写操作范围:默认只在用户约定的工作根目录(见下)内创建/更新 KB-INDEX.md 与主题子目录下的 Markdown;不把本 skill 与任意「默认简历文件」绑定。

英文命令(用户口述即可)

命令含义
split-knowledge第一步:拆分知识点,生成/更新索引 KB-INDEX.md
research-topic第二步:对某一知识点检索,写入该主题目录下两个 MD,并回写索引状态
synthesize-topic第三步:在指定知识点目录下,依据索引原文 + 第二步产出,写「与本人经历绑定」的两份 MD

别名(可选):kp-split → split-knowledge;topic-research → research-topic;topic-synthesize → synthesize-topic。

工作根目录与文件命名

  • 工作根目录:用户指定则用之;否则默认为项目根目录下 interview-knowledge-track/。
  • 第一步产出:<root>/KB-INDEX.md(用户可指定其他路径/文件名,但同一会话后续步骤必须能唯一定位该索引)。
  • 主题目录:<root>/NN-slug/,例如 01-langchain。NN 为两位序号,与知识单元表顺序一致;slug 小写、连字符。
  • 第二步文件(固定文件名):
    • opensource-and-architecture.md — 开源/博客/论文检索 + 架构与模块拆解,全文落盘。
    • interview-drill.md — 精准关键词检索 + 概念补充 + 追问与参考答案,全文落盘。
  • 第三步文件(与第二步同主题目录,除非用户另指定):
    • architecture-bound-to-resume.md
    • interview-bound-to-resume.md

第一步索引契约(KB-INDEX.md)

生成或更新 KB-INDEX.md 时必须包含:

  1. 原文保留区:完整粘贴用户输入(或注明读取的文件路径 + 可选校验信息如段落范围/哈希),满足不丢失原信息。
  2. 知识单元表:每行至少包含:序号、知识点名称、slug、来源原文摘录(精确到句)、状态、对应目录。
  3. 拆分规则:技术栈/框架/领域词拆为可独立检索单元;同一句话可对应多个单元(摘录可重复或附注「共现句」)。
  4. 元数据:生成日期、工作根路径。
状态枚举与回写规则
状态含义
pending尚未执行第二步
researched第二步已完成:NN-slug/ 下已写入 opensource-and-architecture.md 与 interview-drill.md,且索引中 对应目录 已填写
synthesized第三步已完成:同目录下已写入 architecture-bound-to-resume.md 与 interview-bound-to-resume.md
  • 第二步完成后:将该知识点行的 状态 改为 researched,并写回 对应目录(如 01-langchain)。
  • 第三步完成后:将该知识点行的 状态 改为 synthesized。

Agent 执行要点

split-knowledge
  • 创建或更新 <root>/KB-INDEX.md,遵守上文契约。
  • 聊天中仅给出路径、主题数量与 slug 列表等短摘要。
research-topic
  • 用户需指定当前主题(序号、slug 或知识点名称)与工作根/索引路径(若与默认不同)。
  • 读取 prompts/step2-architecture.md 与 prompts/step2-interview-drill.md,使用 Web 检索 满足检索要求。
  • 将完整内容写入主题目录下两个 MD;聊天仅回复路径与 1–3 句摘要。
  • 更新 KB-INDEX.md 中该行状态为 researched。
synthesize-topic
  • 强制输入顺序:① KB-INDEX.md(全文至少使用「原文保留区」+ 当前主题在知识单元表中的行);② 当前主题目录下第二步两个文件;③ prompts/step3-synthesis.md。
  • 写入 architecture-bound-to-resume.md 与 interview-bound-to-resume.md;聊天仅路径与极短摘要。
  • 将 KB-INDEX.md 中该行状态改为 synthesized。

质量自检(执行后自查)

  • 第一步:每条知识点是否在「原文保留区」中有逐字或可核对的摘录依据。
  • 第二步:两个 MD 是否均含检索关键词与来源/诚信声明;禁止伪造 GitHub 链接或论文。
  • 第三步:架构段落与每道面试题是否能回答「对应第一步哪一句/哪一项目」;技术与链路与第二步一致,无无出处杜撰。

流程示意

mermaid
flowchart LR
  input[用户粘贴文本或指定文件]
  split[split-knowledge]
  index[KB-INDEX.md]
  r2[research-topic]
  dir[NN-slug目录]
  os[opensource-and-architecture.md]
  iv[interview-drill.md]
  r3[synthesize-topic]
  ar[architecture-bound-to-resume.md]
  ir[interview-bound-to-resume.md]
  input --> split --> index
  index --> r2 --> dir
  r2 --> os
  r2 --> iv
  index --> r3
  os --> r3
  iv --> r3
  r3 --> ar
  r3 --> ir

© ProgrammerAnthony, 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 3 other files in skills/interview-knowledge-track of ProgrammerAnthony/Expert-Coding-Harness.

  • SKILL.md
  • prompts/step2-architecture.md
  • prompts/step2-interview-drill.md
  • prompts/step3-synthesis.md

Open the folder on GitHubat commit ab0b827

Compare with similar skills

Interview Knowledge Track 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 Knowledge Track compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Interview Knowledge Track this skillProgrammerAnthony/Expert-Coding-Harness235—~880Automated safety check: PassMIT
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Interviewalirezarezvani/claude-skills28k—~1.1kAutomated safety check: PassMIT
Interviewcodewhale-hq/Codewhale41k—~232Automated safety check: PassMIT
Interview Meaddyosmani/agent-skills102k6 repos~3.8kAutomated safety check: PassMIT
Interview Coachsickn33/agentic-awesome-skills47k2 repos~751Automated safety check: PassMIT

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Questions about Interview Knowledge Track

What does Interview Knowledge Track do?

三阶段面试知识点追踪:英文命令 split-knowledge(知识点拆分与 KB-INDEX)、research-topic(按主题检索落盘 opensource + interview-drill)、synthesize-topic(结合 KB 原文与第二步产出,写入经历绑定的架构与面试 Markdown)。别名…. Interview Knowledge Track is an agent skill from ProgrammerAnthony/Expert-Coding-Harness.

How do I install Interview Knowledge Track in Claude Code?

Run `npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill interview-knowledge-track -a claude-code`. Or copy the skill folder (skills/interview-knowledge-track in ProgrammerAnthony/Expert-Coding-Harness) into .claude/skills/interview-knowledge-track in your project. Claude Code loads it when a task matches its description.

How do I install Interview Knowledge Track in Codex?

Run `npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill interview-knowledge-track -a codex`. Or copy the skill folder (skills/interview-knowledge-track in ProgrammerAnthony/Expert-Coding-Harness) into .agents/skills/interview-knowledge-track in your project. Codex loads it when a task matches its description.

Can I use Interview Knowledge Track 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 ProgrammerAnthony/Expert-Coding-Harness --skill interview-knowledge-track -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-knowledge-track, .gemini/skills/interview-knowledge-track, .github/skills/interview-knowledge-track and .opencode/skills/interview-knowledge-track in your project.

What does Interview Knowledge Track need to run?

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

Does Interview Knowledge Track 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 Knowledge Track 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 Knowledge Track use?

Interview Knowledge Track 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 Knowledge Track use?

About 880 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 Interview Knowledge Track?

Skills that share tags, products or a category with Interview Knowledge Track: Indexability (thedaviddias/Front-End-Checklist, 74k stars), Interview (alirezarezvani/claude-skills, 28k stars), Interview (codewhale-hq/Codewhale, 41k stars) and Interview Me (addyosmani/agent-skills, 102k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Interview Knowledge Track?

ProgrammerAnthony (a GitHub user) maintains it in ProgrammerAnthony/Expert-Coding-Harness, which has 235 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on May 11, 2026.

Source: ProgrammerAnthony/Expert-Coding-Harness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.