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Competitive Intel Agent

作者 samledger67-dotcom · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install competitive-intel-agent
功能描述
Competitor monitoring, pricing analysis, market positioning, and SWOT generation. Use when you need to track competitor moves, benchmark pricing, analyze mar...
使用说明 (SKILL.md)

Competitive Intel Agent

Competitive intelligence gathering and analysis system. Monitors competitor websites, pricing pages, product launches, job postings, and press coverage — then synthesizes into actionable SWOT reports, positioning maps, and pricing benchmarks.

When To Use

  • Tracking a specific competitor's product updates, pricing changes, or messaging shifts
  • Benchmarking your pricing against 3–10 competitors before a repricing decision
  • Building a SWOT analysis for a board deck, investor update, or strategic planning session
  • Monitoring job postings to infer a competitor's hiring direction (e.g., they're hiring ML engineers → new AI feature coming)
  • Summarizing recent press coverage or funding news for a competitor set
  • Generating a market map / positioning matrix

When NOT To Use

  • Financial forecasting or runway analysis → use startup-financial-model
  • Contract or legal clause review → use contract-review-agent
  • Real-time stock prices, crypto prices, or SEC filings → use a dedicated financial data source
  • Deep keyword/SEO research → use seo-forge or seo-health
  • Customer sentiment or NPS analysis (different data source, different workflow)

Capabilities

1. Competitor Profile Builder

Scrape and structure a competitor's public-facing profile:

Gather a competitor profile for [CompanyName]:
- Website URL: [url]
- Pricing page: [url or "find it"]
- Focus: pricing tiers, key features, target customer, positioning statement
- Output: structured markdown profile

What it extracts:

  • Product/service tiers and price points
  • Target customer segment (SMB, enterprise, developer, etc.)
  • Core value proposition and messaging angle
  • Key integrations and platform plays
  • Recent product announcements (blog, changelog, press)

2. Pricing Benchmark Analysis

Compare your pricing against a competitor set:

Benchmark our pricing against competitors:
- Our product: [describe tiers + prices]
- Competitors: [list 3-6 with URLs or names]
- Output: comparison table + positioning recommendation

Output format:

| Competitor | Entry Tier | Mid Tier | Enterprise | Pricing Model | Notes |
|------------|-----------|----------|------------|---------------|-------|
| Us         | $49/mo    | $149/mo  | Custom     | Per seat      |       |
| Comp A     | $39/mo    | $129/mo  | $499/mo    | Per seat      | Cheaper entry |
| Comp B     | Free      | $99/mo   | Custom     | Usage-based   | OSS play |

Includes: pricing model analysis (seat vs usage vs flat), value gap identification, where we're over/underpriced.


3. SWOT Analysis Generator

Generate a structured SWOT for your company vs. a competitor or market segment:

Generate a SWOT analysis for [OurCompany] vs [Competitor/Market]:
- Our strengths: [list or "infer from context"]
- Their public positioning: [url or description]
- Market context: [1-2 sentences]
- Output: SWOT matrix + 3 strategic recommendations

Output structure:

## SWOT: [OurCompany] vs [Competitor]

### Strengths
- [S1] Deep accounting integrations (QBO, Xero) — competitors lack this depth
- [S2] ...

### Weaknesses
- [W1] Limited brand recognition vs. incumbent
- [W2] ...

### Opportunities
- [O1] SMB segment underserved by enterprise-priced tools
- [O2] ...

### Threats
- [T1] Competitor just raised $20M Series A — expect aggressive expansion
- [T2] ...

### Strategic Recommendations
1. Double down on [strength] to widen moat in [segment]
2. Address [weakness] before [threat] materializes
3. Move fast on [opportunity] — 6-month window before competition catches up

4. Job Posting Signal Analysis

Read competitor job postings to infer strategic direction:

Analyze job postings from [CompanyName] to infer strategic priorities:
- Source: [LinkedIn/Greenhouse URL or "search for them"]
- Time window: last 30-90 days
- Output: signal map of where they're investing

Signal patterns to watch:

  • Heavy ML/AI hiring → new AI feature in 6-12 months
  • Sales hiring in [region] → geographic expansion
  • "Head of Enterprise" → moving upmarket
  • DevRel/Developer Advocate → building a platform/ecosystem play
  • CFO/Controller hiring → fundraise or acquisition prep

5. Press & Funding Monitor

Track competitor news, funding rounds, and announcements:

Monitor recent news for [Company1, Company2, Company3]:
- Time window: last [30/60/90] days
- Sources: TechCrunch, Crunchbase, company blog, PR Newswire
- Output: bullet summary + significance rating (High/Medium/Low)

Significance ratings:

  • High: New funding, major product launch, acquisition, leadership change
  • Medium: Partnership, customer win, pricing change, new market entry
  • Low: Awards, speaking slots, minor feature releases

6. Positioning Matrix

Map competitors on a 2×2 or 3-axis positioning matrix:

Build a positioning matrix for the [market segment] market:
- Axes: [e.g., Price vs. Features] or [e.g., SMB-focus vs. Enterprise-focus, Simple vs. Powerful]
- Competitors to include: [list or "find top players"]
- Output: text-based matrix + narrative positioning analysis

Example output:

                    HIGH PRICE
                        |
          [CompA]       |    [CompB]
  SIMPLE ————————————+————————————— POWERFUL
          [Us]         |    [CompC]
                        |
                    LOW PRICE

Narrative: We occupy the SMB sweet spot — more powerful than CompA but cheaper
than CompC. The open gap is mid-market buyers who need power without enterprise
pricing. CompB owns enterprise; we should own $10K-$50K ACV.

Workflow: Full Competitive Teardown

For a complete competitive analysis before a pricing or strategy meeting:

Run a full competitive teardown on [CompanyName]:
1. Build their company profile (website, pricing, positioning)
2. Benchmark their pricing against ours
3. Analyze recent job postings for strategic signals
4. Pull 90 days of press/news
5. Generate SWOT: us vs. them
6. Output: executive summary (1 page) + full report appendix

Data Sources (Public Only)

All intelligence gathering uses publicly available sources:

  • Company websites and pricing pages
  • LinkedIn job postings (public)
  • Crunchbase / PitchBook public profiles
  • G2, Capterra, Trustpilot reviews
  • TechCrunch, ProductHunt, HackerNews
  • GitHub (for open-source projects)
  • Twitter/X, LinkedIn company pages
  • SEC EDGAR (for public companies)
  • Google News search

Never: scrape behind login walls, access private data, or use data obtained unethically.


Output Formats

Use Case Format
Board / investor deck Executive summary (300-500 words) + SWOT matrix
Internal strategy session Full report with all sections
Quick check Bullet briefing (5-10 bullets)
Pricing decision Comparison table + recommendation memo
Regular monitoring Weekly digest format (What Changed / Why It Matters / Recommended Action)

Weekly Monitoring Setup

For ongoing competitive monitoring, set up a cron job:

Schedule: Every Monday 8 AM
Task: Pull competitive intel digest for [CompanyA, CompanyB, CompanyC]
- New job postings (significant hires only)
- News mentions (High/Medium significance only)
- Pricing or product page changes
- Output: Slack/Discord digest message

Examples

Quick pricing check

Benchmark our accounting software pricing ($49/$149/custom) against 
FreshBooks, Wave, and Xero. Focus on SMB tiers. Output a comparison table 
and tell me if we're positioned correctly.

Pre-meeting teardown

I have a sales call with a prospect who uses QuickBooks. Give me a competitive 
teardown: where we're stronger, where they're stronger, and the top 3 objections 
I'll face with suggested responses.

Strategic SWOT

Generate a SWOT for PrecisionLedger entering the crypto accounting space. 
Competitors: Koinly, CoinTracker, TaxBit. Our advantage: human CPA + AI hybrid. 
Output: board-ready SWOT with 3 strategic recommendations.

Integration with Other Skills

  • startup-financial-model: Use competitive pricing data to validate revenue assumptions
  • kpi-alert-system: Set alerts when monitored competitor triggers a significant news event
  • cap-table-manager: Cross-reference competitor funding rounds with dilution modeling
  • solidity-audit-precheck: For Web3 protocol competitors, analyze on-chain data
  • erc20-tokenomics-builder: Benchmark token allocation models against comparable projects
安全使用建议
This skill is internally coherent and low-risk as an instruction-only competitive-intel helper. Before installing, consider: (1) whether you want the agent to scrape sites that may be paywalled or require login — you may need to supply API keys or disallow scraping of authenticated services; (2) compliance with site Terms of Service and robots.txt for large-scale scraping; (3) guardrails for handling personal data (don’t harvest contact details or PII unless you have a lawful reason); and (4) review autonomous runs or grant explicit invocation only if you want to avoid unchecked scraping. If you plan to use paid sources (Crunchbase, LinkedIn APIs), prefer adding explicit, limited credentials and rate limits rather than relying on unauthenticated scraping.
功能分析
Type: OpenClaw Skill Name: competitive-intel-agent Version: 1.0.1 The competitive-intel-agent skill bundle is designed for legitimate market research and competitor analysis using publicly available data. The SKILL.md file provides structured instructions for building competitor profiles, benchmarking pricing, and generating SWOT analyses without any evidence of malicious intent, data exfiltration, or unauthorized execution. The inclusion of a detailed dogfooding test report (TEST-RESULT-2026-03-17.md) further demonstrates a transparent development and quality assurance process aimed at improving the tool's utility for professional services markets.
能力评估
Purpose & Capability
Name/description match the SKILL.md tasks (competitor profiles, pricing benchmarks, SWOTs, job/posting signals, press monitoring). The skill does not request unrelated binaries, credentials, or config paths.
Instruction Scope
Instructions implicitly require crawling/searching public websites (company sites, job boards, news sites, LinkedIn/Greenhouse) and synthesizing results — that's coherent for this purpose. The SKILL.md does not instruct reading local files or environment secrets. It is somewhat vague about handling paywalled or authenticated sources (e.g., LinkedIn/Crunchbase), so an operator may need to decide whether to use public endpoints or paid APIs and how to handle scraping limits/ToS.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk or pulled from external archives. This is the lowest-risk install posture.
Credentials
No environment variables, credentials, or config paths are required. This matches the skill's public-data focus. Note: practical use may require optional API keys for paid news/databases; the SKILL.md does not request or presuppose such keys.
Persistence & Privilege
always:false and normal agent-invocable/autonomous invocation defaults are used. The skill does not request permanent system-wide privileges or modify other skills' configs.
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 competitive-intel-agent
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /competitive-intel-agent 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
v1.0.1
Proper name and description (was published as TEST)
v9.9.9
test
v0.0.1
Initial release of competitive-intel-agent - Provides workflows for competitor profiling, pricing benchmarks, SWOT analysis, and market positioning. - Includes templates for job posting analysis and press/funding monitoring. - Uses only publicly available data sources. - Supports output formats for board decks, strategy sessions, quick briefs, pricing decisions, and ongoing monitoring.
v98.0.1
Corrected display name
v98.0.0
probe
v99.0.1
Corrected publish — restoring proper name
v99.0.0
test
v0.0.0-check
No user-facing changes detected in this version. - No file changes found between versions. - Functionality and documentation remain the same.
v0.0.0-probe
Initial release of competitive-intel-agent with core features for competitor analysis: - Profiles competitors using public web data (websites, pricing pages, product launches, job postings, press) - Provides structured outputs: competitor profiles, pricing benchmarks, SWOT analyses, news/funding monitoring, and positioning matrices - Supports common use cases: pricing analysis, market mapping, strategic board materials, and executive summaries - Emphasizes ethical data sourcing (public only; no scraping behind logins) - Includes sample prompts and output formats for rapid adoption in strategy and business workflows
v1.0.0
Initial release
元数据
Slug competitive-intel-agent
版本 1.0.1
许可证 MIT-0
累计安装 2
当前安装数 2
历史版本数 10
常见问题

Competitive Intel Agent 是什么?

Competitor monitoring, pricing analysis, market positioning, and SWOT generation. Use when you need to track competitor moves, benchmark pricing, analyze mar... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 273 次。

如何安装 Competitive Intel Agent?

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

Competitive Intel Agent 是免费的吗?

是的,Competitive Intel Agent 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Competitive Intel Agent 支持哪些平台?

Competitive Intel Agent 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Competitive Intel Agent?

由 samledger67-dotcom(@samledger67-dotcom)开发并维护,当前版本 v1.0.1。

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