A market-research command for examining job-market information such as in-demand skills, salary levels, trends, locations, and competitive positioning.

Use it to compare skills, salaries, trends, locations, job levels, or time periods, then export or share the resulting reports.

It helps turn a collection of job descriptions into comparisons and career decisions instead of relying only on guesswork.

How huifer/claude-code-interview configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to huifer/claude-code-interview. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/huifer/claude-code-interview/main/.claude/commands/analytics/market.md

Clone the repo

git clone --depth 1 https://github.com/huifer/claude-code-interview

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/commands/huifer/claude-code-interview/market/github.svg)](https://agentmods.dev/commands/huifer/claude-code-interview/market)

Your own site

<a href="https://agentmods.dev/commands/huifer/claude-code-interview/market"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/market/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/commands/huifer/claude-code-interview/market"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/market.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 6,346 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00023	$0.06346
Opus 5.5	$0.00009	$0.02538
Sonnet 5.5	$0.00005	$0.01269
Haiku 4.5	$0.00002	$0.00635

Measured 2mo ago against content hash e1bfb5e90dde, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

market scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/commands/analytics/market.md · 773 lines

How it starts

The opening of the file, as written. The whole thing — 773 lines — stays where its author put it; the contents beside it link to each section on GitHub.

市场情报分析

提供全面的市场情报，帮助你做出数据驱动的求职决策。

使用方法

生成市场分析报告

# 综合市场分析
/analytics/market

# 技能需求分析
/analytics/market --skills

# 薪资分析
/analytics/market --salary

# 竞争定位
/analytics/market --positioning

# 趋势分析
/analytics/market --trends

# 地区市场分析
/analytics/market --location "San Francisco"
/analytics/market --location "New York"
/analytics/market --location "Beijing"

对比分析

# 对比多个地区
/analytics/market --compare "San Francisco" "New York" "Remote"

# 对比不同公司级别
/analytics/market --compare-levels Junior Senior Staff

# 对比不同时间段
/analytics/market --compare-months 2024-01 2024-02

导出报告

# 导出为报告
/analytics/market --output exports/market/report-2024-01-15.md

# 生成可分享版本
/analytics/market --share

分析维度

1. 技能需求趋势分析

## 📈 Skill Demand Trends

基于所有导入JD的技能需求分析

### 🔥 Top 20 Most In-Demand Skills

┌──────────────────────┬────────┬────────┬────────┬────────┐
│ Skill                │ Demand │ Growth │ Supply│ Gap    │
├──────────────────────┼────────┼────────┼────────┼────────┤
│ 1. Python            │   92%  │  +12%  │  High │  30%   │
│ 2. JavaScript        │   88%  │   +8%  │  High │  25%   │
│ 3. React             │   82%  │  +15%  │  Med  │  40%   │
│ 4. AWS               │   79%  │  +18%  │  Med  │  45%   │
│ 5. Kubernetes        │   75%  │  +25%  │  Low  │  65%   │
│ 6. TypeScript        │   74%  │  +20%  │  Med  │  35%   │
│ 7. Go                │   68%  │  +22%  │  Low  │  58%   │
│ 8. Distributed Systs │   65%  │  +10%  │  Low  │  70%   │
│ 9. Machine Learning  │   62%  │  +28%  │  Low  │  75%   │
│ 10. GraphQL          │   58%  │  +16%  │  Med  │  30%   │
│ 11. Docker           │   85%  │   +5%  │  High │  20%   │
│ 12. SQL              │   80%  │   +3%  │  High │  15%   │
│ 13. System Design    │   90%  │   +8%  │  Low  │  80%   │
│ 14. CI/CD            │   72%  │  +12%  │  Med  │  35%   │
│ 15. Microservices    │   68%  │  +15%  │  Med  │  40%   │
│ 16. REST APIs        │   86%  │   +2%  │  High │  10%   │
│ 17. Testing          │   70%  │   +6%  │  Med  │  25%   │
│ 18. Security         │   58%  │  +14%  │  Low  │  45%   │
│ 19. Cloud Native     │   64%  │  +20%  │  Low  │  55%   │
│ 20. Data Engineering │   55%  │  +18%  │  Low  │  50%   │
└──────────────────────┴────────┴────────┴────────┴────────┘

Demand: % of job postings requiring this skill
Growth: 6-month trend in demand
Supply: Relative availability of candidates
Gap: Demand vs. Supply gap (investment opportunity)

### 📊 Category Analysis

**Frontend**:
  - React: 82% demand, +15% growth 🔥
  - Vue.js: 35% demand, +8% growth
  - Angular: 28% demand, -3% decline 📉

**Backend**:
  - Python: 92% demand, +12% growth 🔥
  - Node.js: 75% demand, +6% growth
  - Go: 68% demand, +22% growth 🚀
  - Java: 55% demand, -5% decline 📉

**Cloud**:
  - AWS: 79% demand, +18% growth 🔥
  - GCP: 52% demand, +25% growth 🚀
  - Azure: 48% demand, +15% growth

**Data**:
  - ML/AI: 62% demand, +28% growth 🚀
  - Data Engineering: 55% demand, +18% growth
  - Analytics: 48% demand, +12% growth

**DevOps**:
  - Kubernetes: 75% demand, +25% growth 🚀
  - Docker: 85% demand, +5% growth
  - CI/CD: 72% demand, +12% growth

### 💡 Skill Investment Recommendations

**High ROI Skills** (High demand + High growth + Low supply):
  1. 🚀 Kubernetes (+25% growth, 65% gap)
  2. 🚀 Machine Learning (+28% growth, 75% gap)
  3. 🚀 Go (+22% growth, 58% gap)
  4. 🚀 GCP (+25% growth, 55% gap)
  5. 🔥 React (+15% growth, 40% gap)

**Saturated Skills** (High demand + High supply):
  ⚠️ JavaScript, Python, SQL, Docker
  → Good to have, but competitive

**Declining Skills**:
  📉 Angular (-3%), Java (-5%), jQuery (-15%)
  → Consider deprioritizing

### 🎯 Your Skill Positioning

Your Top Skills vs Market:

┌───────────────────┬────────┬────────┬────────┐
│ Your Skill        │ Your   │ Market │ Compet-│
│                   │ Level  │ Demand │ itive │
├───────────────────┼────────┼────────┼────────┤
│ Python            │ Expert │   92%  │   ✅   │
│ Distributed Sys   │ Advan  │   65%  │   ✅   │
│ AWS               │ Advan  │   79%  │   ✅   │
│ System Design     │ Inter  │   90%  │  Gap ⚠️│
│ Kubernetes        │ Basic  │   75%  │  Gap ⚠️│
│ Go                │ None   │   68%  │  Gap 🔴│
│ Machine Learning  │ Basic  │   62%  │  Gap 🟡│
└───────────────────┴────────┴────────┴────────┘

Competitive Advantage:
  ✅ Strong in high-demand areas (Python, AWS)
  ✅ Differentiated in distributed systems
  ⚠️ Gap in Kubernetes (critical)
  🔴 Missing Go (significant opportunity)

Quick Wins (1-2 months):
  1. Kubernetes: Intermediate → Advanced
  2. Machine Learning: Basic → Intermediate

Medium-term (3-6 months):
  1. Go: None → Intermediate
  2. System Design: Intermediate → Advanced

Read the full file on GitHub · 773 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 773 lines · 0 tokens per session scan A e1bfb5e90dde

Subscribe to this mod's changes

market is a command published in the GitHub repository huifer/claude-code-interview (27 stars, last pushed 10mo ago), licensed MIT. It adds 23 tokens to every session and 6,346 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Marketing and SEO Research

market next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
markethuifer/claude-code-interview	Command	27	10mo ago	MIT	A	23	Claude Code
checklistgithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
clarifygithub/spec-kit	Command	148k	yesterday	MIT	A	27	Claude Code
specifygithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
analyzegithub/spec-kit	Command	148k	yesterday	MIT	A	26	Claude Code
convergegithub/spec-kit	Command	148k	yesterday	MIT	A	35	Claude Code
implementgithub/spec-kit	Command	148k	yesterday	MIT	A	14	Claude Code

claude-code-interview: Command for Claude Code