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ivangdavila

Competitor Research

by Iván · GitHub ↗ · v1.0.0
linuxdarwinwin32 ✓ Security Clean
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Install in OpenClaw
/install competitor-research
Description
Deep competitor audits with market positioning, gap analysis, and actionable insights for winning strategies.
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install competitor-research
  3. After installation, invoke the skill by name or use /competitor-research
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release with analysis frameworks, depth levels, and iterative workflow.
Metadata
Slug competitor-research
Version 1.0.0
License
All-time Installs 14
Active Installs 14
Total Versions 1
Frequently Asked Questions

What is Competitor Research?

Deep competitor audits with market positioning, gap analysis, and actionable insights for winning strategies. It is an AI Agent Skill for Claude Code / OpenClaw, with 1031 downloads so far.

How do I install Competitor Research?

Run "/install competitor-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Competitor Research free?

Yes, Competitor Research is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Competitor Research support?

Competitor Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).

Who created Competitor Research?

It is built and maintained by Iván (@ivangdavila); the current version is v1.0.0.

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