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Competitor Research

作者 Iván · GitHub ↗ · v1.0.0
linuxdarwinwin32 ✓ 安全检测通过
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在 OpenClaw 中安装
/install competitor-research
功能描述
Deep competitor audits with market positioning, gap analysis, and actionable insights for winning strategies.
使用说明 (SKILL.md)

Setup

On first use, read setup.md for integration guidelines.

When to Use

User needs deep competitor analysis. Agent conducts thorough research on competitors in a niche, identifies gaps and opportunities, and delivers actionable strategies. Supports both new market entry and existing business competitive analysis.

Architecture

Memory lives in ~/competitor-research/. See memory-template.md for structure.

~/competitor-research/
├── memory.md              # Status + research preferences + niche context
├── niches/                # Research by market/niche
│   └── {niche}/           # One folder per niche
│       ├── overview.md    # Market landscape
│       └── {company}.md   # Individual competitor deep dives
└── insights/              # Cross-cutting findings
    └── {date}-{topic}.md  # Strategic insights and recommendations

Quick Reference

Topic File
Setup process setup.md
Memory template memory-template.md
Research frameworks frameworks.md

Core Rules

1. Define Scope Before Research

Never start without clarity on:

Question Why It Matters
What decision will this inform? Shapes depth and focus
New market entry or existing competition? Different analysis needs
Direct competitors only, or substitutes too? Defines research boundaries
Time constraint? Determines depth level

If user is vague, ask. Bad scope = wasted research.

2. Use Depth Levels

Level Time Output Best For
Quick Scan 15-30 min Top 5 competitors, key differentiators, obvious gaps Initial exploration
Standard 1-2 hours Full landscape, pricing matrix, positioning map, opportunities Business planning
Deep Dive Half day+ Individual competitor audits, detailed SWOT, strategic playbook Serious competition

Always confirm depth level before starting. Default to Standard if unsure.

3. Structure Every Competitor Analysis

For each competitor, cover:

BASICS
- What they do (one sentence)
- Target customer
- Pricing model and range
- Founding date, funding, size indicators

PRODUCT
- Core features
- Key differentiators
- Weaknesses/gaps
- Recent changes

POSITIONING  
- How they describe themselves
- Who they compare against
- Messaging tone and style

TRACTION SIGNALS
- Reviews/ratings (G2, Capterra, etc.)
- Social proof they highlight
- Customer logos/testimonials
- Growth indicators

4. Always Find Gaps and Opportunities

End every research session with:

GAP ANALYSIS

  • What do customers complain about that nobody solves?
  • What segments are underserved?
  • What's overpriced in the market?
  • What's missing that should exist?

OPPORTUNITIES

  • Where can user win? (price, features, positioning, audience)
  • What would be the wedge to enter?
  • What's the unfair advantage potential?

Research without actionable gaps is just a report. Make it strategic.

5. Iterate and Build Knowledge

Each research session builds on previous ones:

  • First session: Establish landscape, identify key players
  • Follow-up sessions: Deep dive individual competitors
  • Return visits: Update with new findings, track changes

Before researching a niche again, check niches/{niche}/ for prior work.

6. Cite and Date Everything

Mark all findings with:

  • Source: Where you found it (website, G2, LinkedIn, etc.)
  • Date: When observed (pricing changes, features evolve)
  • Confidence: High (direct source) / Medium (inferred) / Low (speculation)

Undated intelligence becomes unreliable fast.

7. Deliver Actionable Recommendations

Every research deliverable ends with:

STRATEGIC RECOMMENDATIONS
1. [Specific action] because [finding supports it]
2. [Another action] based on [gap identified]
3. [What to avoid] given [competitor strength]

WHAT TO WATCH
- [Signal that would change this analysis]
- [Competitor move to monitor]

Research Frameworks

Market Landscape

Start broad, then narrow:

  1. List all players (direct, indirect, substitutes)
  2. Categorize by segment (enterprise, SMB, prosumer, etc.)
  3. Map by positioning (premium vs budget, generalist vs niche)
  4. Identify white space

Competitive Matrix

Compare on dimensions that matter:

Competitor Price Feature X Feature Y Target Differentiator
Player A $$$ Enterprise Security
Player B $ SMB Simplicity
(User) $$ Mid-market Best of both

Win/Lose Analysis

For each competitor, answer:

  • Why would a customer choose them over user?
  • Why would a customer choose user over them?
  • What type of customer is a slam-dunk for each?

Positioning Audit

Analyze how competitors position:

  • Homepage headline and subhead
  • Three main value props
  • Social proof strategy
  • Pricing presentation
  • Comparison pages (if any)

Look for positioning gaps nobody owns.

Iterative Research Workflow

Session 1: Landscape

"I want to research competitors in [niche]"
→ Quick scan of market
→ Identify 5-10 key players
→ Create overview.md for the niche
→ Ask: want to deep dive any specific competitor?

Session 2+: Deep Dives

"Let's analyze [Company X]"
→ Load niche overview for context
→ Full competitor analysis
→ Save to niches/{niche}/{company}.md
→ Update overview with new findings

Return Visit

"What do we know about [niche/company]?"
→ Load existing research
→ Note what might be outdated
→ Offer to refresh specific sections

Common Traps

  • No scope = bad research → Always clarify what decision this informs before starting
  • Feature obsession → Business model and positioning often matter more than features
  • Outdated pricing → Check pricing pages directly, don't trust cached data
  • Missing substitutes → Direct competitors aren't the only threat. What else solves the same job?
  • Analysis paralysis → Set time limits. Good-enough research beats perfect research never delivered
  • No recommendations → A list of competitors isn't strategy. What should user DO with this?
  • Forgot to save → Update memory and niche files after every session

Security & Privacy

Data that stays local:

  • All research stored in ~/competitor-research/
  • Niche analyses and competitor profiles
  • User preferences and context

This skill does NOT:

  • Access private competitor systems
  • Create fake accounts for research
  • Scrape content violating ToS
  • Send your research externally
  • Store any credentials

Related Skills

Install with clawhub install \x3Cslug> if user confirms:

  • market-research — broader market analysis
  • business — strategic frameworks
  • competitor-monitoring — ongoing tracking after research

Feedback

  • If useful: clawhub star competitor-research
  • Stay updated: clawhub sync
安全使用建议
This skill appears to do what it says: gather public competitive intelligence and save it in ~/competitor-research/. Before installing, decide whether you are comfortable the agent will create and maintain files in your home directory and possibly store any user-provided context there. Check the ~/competitor-research/ folder regularly (or use a dedicated directory) and avoid pasting secrets or confidential documents into notes. Also note a minor metadata mismatch: SKILL.md requires the ~/competitor-research/ path but the registry listed no required config paths — you may want to confirm which record is authoritative. If you prefer not to persist data, ask the agent to run analyses without saving or clean the folder after sessions.
功能分析
Type: OpenClaw Skill Name: competitor-research Version: 1.0.0 The skill is designed for competitor research, involving web browsing of public sources and local storage of findings in `~/competitor-research/`. All instructions in `SKILL.md`, `frameworks.md`, `memory-template.md`, and `setup.md` guide the agent's research process and data organization, without any evidence of malicious intent. The `SKILL.md` explicitly states that the skill does not access private systems, create fake accounts, scrape content violating ToS, send research externally, or store credentials, which aligns with the observed content.
能力评估
Purpose & Capability
Name/description (competitor research) match the instructions: web-based public intel collection, matrices, SWOTs, and saving structured notes. The only small inconsistency is that SKILL.md metadata declares a required path (~/competitor-research/) while the registry metadata listed 'Required config paths: none' — the path requirement is appropriate for this skill but the registry record is inconsistent.
Instruction Scope
Runtime instructions tell the agent to browse public sources (Google, G2, Crunchbase, social media), synthesize findings, and read/write files under ~/competitor-research/. This is expected for the stated purpose. Be aware the skill will persist collected research locally; it does not instruct reading unrelated system files or environment variables.
Install Mechanism
Instruction-only skill with no install spec or external downloads — lowest install risk.
Credentials
No environment variables, credentials, or third-party tokens are requested. The only resource used is a directory in the user's home to store memory; that is proportionate to its documented function.
Persistence & Privilege
The skill persists research to ~/competitor-research/ (memory.md, niches/, insights/). It is not force-installed (always:false). Confirm you are comfortable with the agent saving research locally and review those files for any sensitive content you wouldn't want stored.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install competitor-research
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /competitor-research 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release with analysis frameworks, depth levels, and iterative workflow.
元数据
Slug competitor-research
版本 1.0.0
许可证
累计安装 14
当前安装数 14
历史版本数 1
常见问题

Competitor Research 是什么?

Deep competitor audits with market positioning, gap analysis, and actionable insights for winning strategies. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1031 次。

如何安装 Competitor Research?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install competitor-research」即可一键安装,无需额外配置。

Competitor Research 是免费的吗?

是的,Competitor Research 完全免费(开源免费),可自由下载、安装和使用。

Competitor Research 支持哪些平台?

Competitor Research 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。

谁开发了 Competitor Research?

由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.0。

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