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Competitors Analysis

  • 417 installs
  • 1.3k repo stars
  • Updated August 4, 2026
  • daymade/claude-code-skills

competitors-analysis is an AI coding skill that maps rival products, positioning, pricing tiers, feature gaps, and go-to-market motions for developers who need evidence-based differentiation inputs before committing to e

About

competitors-analysis is a competitor research and positioning skill that helps developers and product engineers turn messy market signals into an actionable competitive map. competitors-analysis structures rival analysis around positioning, pricing tiers, feature gaps, and go-to-market motions, so teams can make clearer decisions about what to build and how to package it. Developers typically reach for competitors-analysis when requirements feel ambiguous, pricing or packaging is unsettled, or a roadmap needs sharper differentiation to reduce wasted engineering effort. competitors-analysis is also useful when preparing a narrative for product strategy docs, planning experiments, or aligning stakeholders around a defensible scope based on competitor coverage and GTM patterns.

  • Competitor discovery and segmentation
  • Feature matrix and parity gap analysis
  • Pricing and packaging comparisons
  • Positioning and messaging teardown
  • Actionable differentiation recommendations

Competitors Analysis by the numbers

  • 417 all-time installs (skills.sh)
  • Ranked #800 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/daymade/claude-code-skills --skill competitors-analysis

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Listed on Skillselion
Installs417
repo stars1.3k
Last updatedAugust 4, 2026
Repositorydaymade/claude-code-skills

How do I compare competitors pricing and features?

Map rival products, positioning, pricing tiers, feature gaps, and GTM motions to inform differentiation before committing engineering scope or fundraising narratives.

Who is it for?

competitors-analysis is best for developers shaping scope and packaging decisions using competitor feature and pricing comparisons.

Skip if: competitors-analysis is not for teams that already have validated differentiation and only need implementation execution.

When should I use this skill?

Invoke competitors-analysis when a developer asks for competitor mapping, positioning comparison, pricing tier analysis, feature gap analysis, or GTM motion research before finalizing scope.

What you get

A competitor matrix, positioning notes, pricing tier breakdown, feature gap list, and GTM motion summary.

  • competitor matrix
  • pricing tier breakdown
  • feature gap analysis

Files

SKILL.mdMarkdownGitHub ↗

Competitors Analysis

Evidence-based competitor tracking and analysis. All analysis must be based on actual code, never assumptions.

CRITICAL: Evidence-Based Analysis Only

在开始分析之前,必须完成以下检查:

Pre-Analysis Checklist

  • [ ] 仓库已克隆到本地 ~/Workspace/competitors/{product}/
  • [ ] 可以 ls 查看目录结构
  • [ ] 可以 cat package.json (或等效配置文件) 读取版本信息
  • [ ] 可以 git log -1 确认代码是最新的

如果以上任何一项未完成,停止分析,先完成克隆操作。

Forbidden Patterns (禁止的表述)

禁止原因
"推测..."、"可能..."、"应该..."没有证据支持
"架构图(推测版)"必须基于实际代码
"未公开"、"未披露"如果不知道就不要写
不带来源的技术细节无法验证

Required Patterns (必须的表述)

正确格式示例
技术细节 + (来源: 文件:行号)"使用 better-sqlite3 (来源: package.json:88)"
直接引用 + 来源> "description text" (README.md:3)
版本号 + 来源"版本 1.3.3 (package.json:2)"

---

Analysis Workflow

Step 1: Clone Repository (必须)

# 创建产品竞品目录
mkdir -p ~/Workspace/competitors/{product-name}

# 克隆竞品仓库 (SSH,失败则重试)
cd ~/Workspace/competitors/{product-name}
git clone git@github.com:org/repo.git

网络问题处理: 中国网络环境可能需要多次重试。

Step 2: Gather Facts (收集事实)

按顺序读取以下文件,记录关键信息:

2.1 项目元数据

# Node.js 项目
cat package.json | head -20      # name, version, description
cat package.json | grep -A50 dependencies

# Python 项目
cat pyproject.toml               # 或 setup.py, requirements.txt

# Rust 项目
cat Cargo.toml

2.2 项目结构

ls -la                           # 根目录结构
ls src/                          # 源码目录
find . -name "*.md" -maxdepth 2  # 文档文件

2.3 核心模块

# 找到入口文件
cat main.js | head -50           # 或 index.js, app.py, main.rs
# 找到核心 helpers/utils
ls src/helpers/ 2>/dev/null || ls src/utils/ 2>/dev/null

2.4 README 和文档

cat README.md | head -100        # 官方描述
cat CHANGELOG.md | head -50      # 版本历史

Step 3: Deep Dive (深入分析)

针对关键技术点,读取具体实现文件:

# 示例:分析 ASR 实现
cat src/helpers/whisper.js       # 读取完整文件
grep -n "class.*Manager" src/helpers/*.js  # 找到核心类

记录格式:

| 文件 | 行号 | 发现 |
|------|------|------|
| whisper.js | 33-35 | 使用 WhisperServerManager |

Step 4: Write Profile (撰写分析)

使用 references/profile_template.md 模板,确保每个技术细节都有来源标注。

Step 5: Post-Analysis Verification (分析后验证)

自检清单:

  • [ ] 所有版本号都有来源标注?
  • [ ] 所有技术栈都来自 package.json/Cargo.toml?
  • [ ] 架构描述基于实际代码结构?
  • [ ] 没有"推测"、"可能"等词汇?
  • [ ] 对比表中的竞品数据都有来源?

---

Directory Structure

~/Workspace/competitors/
├── flowzero/              # Flowzero 的竞品
│   ├── openwhispr/        # git clone 的仓库
│   └── ...
└── {product-name}/        # 其他产品

{project}/docs/competitors/
├── README.md              # 索引(标注分析状态)
├── profiles/
│   └── {competitor}.md    # 基于代码的分析
├── landscape/
├── insights/
└── updates/2026/

---

Templates and Checklists

文档用途
references/profile_template.md竞品分析报告模板
references/analysis_checklist.md分析前/中/后检查清单

关键要求: 1. 顶部必须标注数据来源路径和 commit hash 2. 每个技术细节必须有 (来源: 文件:行号) 3. 引用 README 内容必须标注行号 4. 无法验证的标记为"待验证"并说明原因 5. 分析完成后运行检查清单中的验证命令

---

Tech Stack Analysis Guide

Node.js / JavaScript

信息来源文件关键字段
版本package.jsonversion
依赖package.jsondependencies, devDependencies
入口package.jsonmain, scripts.start
框架package.jsonelectron, react, vite 等

Python

信息来源文件关键字段
版本pyproject.toml[project].version
依赖pyproject.toml / requirements.txtdependencies
入口pyproject.toml[project.scripts]

Rust

信息来源文件关键字段
版本Cargo.toml[package].version
依赖Cargo.toml[dependencies]

---

Common Mistakes to Avoid

1. 跳过克隆直接分析

❌ 错误: 从 GitHub 网页或 WebFetch 获取信息后直接写分析 ✅ 正确: 必须 git clone 到本地,用 Read 工具读取文件

2. 混合事实和推测

❌ 错误:

## 技术栈
- Electron (推测基于桌面应用特征)
- 可能使用了 React

✅ 正确:

## 技术栈 (来源: package.json)
| 依赖 | 版本 | 来源 |
|------|------|------|
| electron | 36.9.5 | package.json:68 |
| react | 19.1.0 | package.json:96 |

3. 使用过时信息

❌ 错误: 分析时不检查 git log,使用过时的代码 ✅ 正确: 分析前运行 git pull,记录分析时的 commit hash

4. 对比表中竞品数据无来源

❌ 错误:

| 维度 | 竞品 | 我们 |
|------|------|------|
| 支持语言 | 25种 | 58种 |

✅ 正确:

| 维度 | 竞品 | 来源 | 我们 |
|------|------|------|------|
| 支持语言 | 25种 | modelRegistryData.json:9-35 | 58种 (FunASR 官方文档) |

---

Scripts

See scripts/update-competitors.sh for repository management.

./scripts/update-competitors.sh clone   # 克隆所有竞品
./scripts/update-competitors.sh pull    # 更新所有竞品
./scripts/update-competitors.sh status  # 检查状态

Related skills

How it compares

Pick this when you need a structured competitor-to-scope output (positioning + pricing tiers + feature gaps) rather than unstructured brainstorming notes.

FAQ

What does competitors-analysis produce?

competitors-analysis produces a structured competitor map that typically includes positioning notes, a pricing tier breakdown, a list of feature gaps and parity items, and a summary of observed go-to-market motions, which can be used directly in product strategy docs and roadmap

When should I run competitors-analysis in a project?

competitors-analysis should be run early when scope and differentiation are still fluid, especially before committing engineering effort to an MVP, pricing plan, or packaging model, because competitor pricing tiers and feature gaps can materially change what the first release sho

Is competitors-analysis only for marketing teams?

competitors-analysis is useful for engineers and product owners because it translates competitor positioning and pricing tiers into buildable implications like feature-to-tier mapping and scope boundaries, which helps prevent building undifferentiated functionality or misaligned

Productivity & Planningpricingecommerce

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