Agent skill

Competitor Intel

by ognjengt in ognjengt/founder-skills

Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves.

MITAuto-check passedMarketing & SEO

Install Competitor Intel

skills CLI
$ npx skills add ognjengt/founder-skills --skill competitor-intel -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ognjengt/founder-skills competitor-intel --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ognjengt/founder-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/competitor-intel .claude/skills/competitor-intel && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
competitor-intel
GitHub stars
440
Token cost
~2.6k tokens
SKILL.md length
975 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves.

  • Works in 7 steps: Check for Business Context (Optional) → Extract Input → Research Phase — MANDATORY WEB SEARCH → …
  • User needs competitive intelligence
  • SKILL.md covers Purpose, Execution Logic, Task Execution and Writing Rules, plus 3 more sections
  • Reaches facebook.com

What it does

Competitor Intel is an agent skill from ognjengt/founder-skills. Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves. Use when user needs competitive intelligence, competitor analysis, market positioning insights, or strategic leverage opportunities.

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Competitor analysis and Positioning and messaging. The repository describes itself as: Claude skills for founders. The licence is MIT.

When your agent uses it

  • User needs competitive intelligence
  • Competitor analysis
  • Market positioning insights
  • Strategic leverage opportunities

Example prompts

  • “Use the competitor-intel skill to analyz competitors using web research to provide verified business metrics, actionable leverage strategies, and…”
  • “/competitor-intel”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Check for Business Context (Optional)
  2. Extract Input
  3. Research Phase — MANDATORY WEB SEARCH
  4. Compile Verified Metrics
  5. Identify Leverage Opportunities
  6. Predict Next Moves
  7. Format Output

What it can do on your machine

Read from SKILL.md and the folder at commit a45931c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • facebook.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Competitor Intel loads about 2.6k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 975 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ognjengt/founder-skills at commit a45931c, republished under its MIT licence (© ognjengt). 975 words, ~2,608 tokens.

Download SKILL.mdSave it as .claude/skills/competitor-intel/SKILL.md (or your agent's skills folder).
name
competitor-intel
description
Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves. Use when user needs competitive intelligence, competitor analysis, market positioning insights, or strategic leverage opportunities.

Competitor Intel

Purpose

Provide data-backed competitive intelligence by researching real signals across the web—no assumptions, no made-up numbers.


Execution Logic

Check $ARGUMENTS first to determine execution mode:

If $ARGUMENTS is empty or not provided:

Respond with: "competitor-intel loaded, proceed with competitor name and any context (website, industry, etc.)"

Then wait for the user to provide their requirements in the next message.

If $ARGUMENTS contains content:

Proceed immediately to Task Execution (skip the "loaded" message).


Task Execution

When user requirements are available (either from initial $ARGUMENTS or follow-up message):

1. Check for Business Context (Optional)

Check if FOUNDER_CONTEXT.md exists in the project root.

  • If it exists: Read it to understand your company's positioning, strengths, and goals—this informs the leverage strategies.
  • If it doesn't exist: Proceed with analysis focused purely on competitor weaknesses.
2. Extract Input

From the user's requirements, extract:

  • Competitor name (required)
  • Competitor website (if provided)
  • Industry/vertical (if provided)
  • Specific areas of interest (if provided)

This skill REQUIRES web search. Do not proceed without searching.

Execute web searches across these sources:

Business Metrics Research

Search for verified data only. Query patterns:

  • "[Competitor]" revenue OR MRR OR ARR site:crunchbase.com
  • "[Competitor]" funding raised valuation site:crunchbase.com
  • "[Competitor]" employees headcount site:linkedin.com
  • "[Competitor]" revenue growth OR metrics
  • "[Competitor]" pricing customers
  • "[Competitor]" CEO OR founder interview revenue
  • "[Competitor]" Series A OR Series B OR funding
Traffic & SEO Research

Search for web traffic and search presence signals:

  • "[Competitor]" site:similarweb.com (traffic estimates, top pages, traffic sources)
  • "[Competitor]" site:ahrefs.com (backlinks, domain rating, organic keywords)
  • "[Competitor]" site:semrush.com (traffic, keyword rankings, ad spend)
  • "[Competitor]" site:trends.google.com (search interest over time)
  • [Competitor website domain] site:builtwith.com (tech stack, tools used)
Technical & Product Research

Search for product and development signals:

  • "[Competitor]" site:github.com (open source activity, tech stack, hiring signals)
  • [Competitor GitHub org] (commit frequency, contributors, project activity)
  • "[Competitor]" API OR integration OR developer
Advertising Research

Search for ad strategy and spend signals:

  • Search Meta Ads Library: https://www.facebook.com/ads/library/ for [Competitor]
  • "[Competitor]" ads site:facebook.com/ads/library
  • "[Competitor]" advertising spend OR ad budget
  • "[Competitor]" marketing campaign
Weakness & Sentiment Research

Search for complaints, issues, and struggles:

  • "[Competitor]" reviews site:g2.com
  • "[Competitor]" reviews site:capterra.com
  • "[Competitor]" reviews site:trustpilot.com
  • "[Competitor]" complaints OR issues OR problems
  • "[Competitor]" "doesn't work" OR "broken" OR "terrible"
  • "[Competitor]" layoffs OR firing OR cuts
  • "[Competitor]" lawsuit OR sued
Signal Research (for predictions)

Search for hiring, product, and strategic signals:

  • "[Competitor]" hiring site:linkedin.com
  • "[Competitor]" job openings
  • "[Competitor]" new feature OR launch OR release
  • "[Competitor]" roadmap OR upcoming
  • "[Competitor]" partnership OR integration
  • "[Competitor]" site:twitter.com OR site:x.com (founder/company posts)
4. Compile Verified Metrics

From research, extract ONLY verified numbers with sources:

  • MRR/ARR (if disclosed)
  • Funding raised (total and rounds)
  • Valuation (if known)
  • Employee count
  • Customer count
  • Churn rate (if disclosed)
  • Growth rate (if disclosed)
  • Pricing tiers

CRITICAL RULE: If a metric cannot be found with a source, mark it as "Not publicly available" — DO NOT estimate or assume.

5. Identify Leverage Opportunities

Analyze collected data to find 3 actionable weak spots:

Look for patterns in:

  • Product gaps: Features users complain about, missing integrations
  • Service failures: Support complaints, response times, bugs
  • Pricing friction: Users complaining about cost, hidden fees, poor value
  • Trust issues: Security concerns, data breaches, broken promises
  • Operational struggles: Layoffs, leadership changes, funding difficulties
  • Marketing weaknesses: Poor ad execution, weak positioning, low engagement

For each weakness, formulate an actionable strategy your company can execute.

Show full SKILL.md (428 more words)Show less
6. Predict Next Moves

Based on all signals, predict what the competitor will likely do next:

Signals to interpret:

  • Hiring patterns: Engineering = product push, Sales = growth mode, Support = scaling issues
  • Job postings: Reveal technology bets, market expansion, new products
  • Funding status: Recent raise = aggressive expansion, No raise in 2+ years = potential trouble
  • Content/PR: Topics they're pushing indicate strategic focus
  • Partnership announcements: Reveal market positioning and gaps
  • Founder activity: Where they speak, what they post, who they meet
7. Format Output

Structure findings according to Output Format section.


Writing Rules

Hard constraints. No interpretation.

Core Rules
  • Every metric MUST include a source link or be marked "Not publicly available"
  • No estimations, assumptions, or "likely" numbers for metrics
  • Strategies must be actionable (specific steps, not vague advice)
  • Predictions must cite the signals that support them
  • Use neutral, analytical tone—not competitive trash talk
  • Date all findings (data freshness matters)
Source Rules
  • Prioritize primary sources (company announcements, founder interviews, SEC filings)
  • Crunchbase, LinkedIn, G2, Capterra are acceptable secondary sources
  • News articles are acceptable if they cite primary sources
  • Avoid unverified Twitter/X claims unless from official company accounts
Strategy Rules
  • Each strategy must exploit a verified weakness
  • Each strategy must include concrete next steps
  • Strategies should be achievable within 30-90 days
  • Avoid strategies that require significant capital unless user has it

Output Format

markdown
# Competitor Intel: [Competitor Name]
**Generated:** [Date]
**Sources searched:** [Count] sources across Crunchbase, LinkedIn, G2, Capterra, news, social

---

## 1. Verified Business Metrics

| Metric | Value | Source | Date |
|--------|-------|--------|------|
| Funding Raised | $X | [Source](url) | [Date] |
| Valuation | $X | [Source](url) | [Date] |
| Employee Count | X | [Source](url) | [Date] |
| MRR/ARR | Not publicly available | — | — |
| Customer Count | ~X | [Source](url) | [Date] |
| Churn Rate | Not publicly available | — | — |

**Key Observations:**
- [Insight about their financial health]
- [Insight about their growth trajectory]

---

## 2. Leverage Strategies

### Strategy 1: [Name]
**Weakness exploited:** [What you found]
**Evidence:** [Quote or data point with source]

**Action steps:**
1. [Specific action]
2. [Specific action]
3. [Specific action]

**Expected outcome:** [What this achieves]

---

### Strategy 2: [Name]
**Weakness exploited:** [What you found]
**Evidence:** [Quote or data point with source]

**Action steps:**
1. [Specific action]
2. [Specific action]
3. [Specific action]

**Expected outcome:** [What this achieves]

---

### Strategy 3: [Name]
**Weakness exploited:** [What you found]
**Evidence:** [Quote or data point with source]

**Action steps:**
1. [Specific action]
2. [Specific action]
3. [Specific action]

**Expected outcome:** [What this achieves]

---

## 3. Predicted Next Moves

### Prediction 1: [What they'll likely do]
**Confidence:** High/Medium/Low
**Supporting signals:**
- [Signal 1 with source]
- [Signal 2 with source]

**Implication for you:** [How to prepare/respond]

### Prediction 2: [What they'll likely do]
**Confidence:** High/Medium/Low
**Supporting signals:**
- [Signal 1 with source]
- [Signal 2 with source]

**Implication for you:** [How to prepare/respond]

---

## 4. Information Gaps
Metrics and data that could not be verified:
- [Item 1]
- [Item 2]

**Suggested next steps to fill gaps:**
- [How to find this information]

Quality Checklist (Self-Verification)

Before finalizing, verify ALL of the following:

Research Check
  • I performed web searches (did not rely on training data alone)
  • I searched Crunchbase, LinkedIn, G2/Capterra, and news sources
  • I searched traffic/SEO sources (Similarweb, Ahrefs, Semrush, Google Trends)
  • I checked BuiltWith for tech stack and GitHub for development signals
  • I searched Meta Ads Library for advertising activity
  • I searched for both positive and negative signals
Metrics Check
  • Every metric has a source URL or is marked "Not publicly available"
  • No numbers are estimated or assumed
  • Dates are included for data freshness
Strategy Check
  • All 3 strategies exploit verified weaknesses (not assumptions)
  • Each strategy has concrete, actionable steps
  • Strategies are realistic for a startup to execute
Prediction Check
  • Each prediction cites specific signals
  • Confidence levels are honest (not all "High")
  • Implications are actionable
Output Check
  • Output matches the Output Format exactly
  • Tone is analytical, not inflammatory
  • Information gaps are acknowledged

If ANY check fails → revise before presenting.


Defaults & Assumptions

Use these unless overridden:

  • Assume user is a startup founder analyzing a direct competitor
  • Focus on actionable intelligence (not academic analysis)
  • Prioritize recent data (< 12 months old)
  • Default confidence for predictions: Medium (unless strong signals exist)
  • If industry unknown, infer from competitor's website/positioning

Document any assumptions made in the output.


© ognjengt, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/competitor-intel of ognjengt/founder-skills.

Open the folder on GitHubat commit a45931c

Compare with similar skills

Competitor Intel next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Categories

Questions about Competitor Intel

What does Competitor Intel do?

Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves. Competitor Intel is an agent skill from ognjengt/founder-skills. Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves.

When should I use Competitor Intel?

Competitor Intel fits situations like: user needs competitive intelligence; competitor analysis; market positioning insights; strategic leverage opportunities.

How do I install Competitor Intel in Claude Code?

Run `npx skills add ognjengt/founder-skills --skill competitor-intel -a claude-code`. Or copy the skill folder (skills/competitor-intel in ognjengt/founder-skills) into .claude/skills/competitor-intel in your project. Claude Code loads it when a task matches its description.

How do I install Competitor Intel in Codex?

Run `npx skills add ognjengt/founder-skills --skill competitor-intel -a codex`. Or copy the skill folder (skills/competitor-intel in ognjengt/founder-skills) into .agents/skills/competitor-intel in your project. Codex loads it when a task matches its description.

Can I use Competitor Intel in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ognjengt/founder-skills --skill competitor-intel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/competitor-intel, .gemini/skills/competitor-intel, .github/skills/competitor-intel and .opencode/skills/competitor-intel in your project.

What does Competitor Intel need to run?

SKILL.md names no scripts, command-line tools or credentials: Competitor Intel is instructions for the agent only.

Does Competitor Intel access the network?

SKILL.md names 1 domain. In commands or code: facebook.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Competitor Intel safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Competitor Intel use?

Competitor Intel is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Competitor Intel use?

About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Competitor Intel?

Skills that share tags, products or a category with Competitor Intel: Startup Design (ferdinandobons/startup-skill, 1.2k stars), Competitor Teardown (irinabuht12-oss/marketing-skills, 4k stars), Competitive Analysis (w95/awesome-claude-corporate-skills, 239 stars) and Competitor Researcher (hanzili/hanzi-browse, 177 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Competitor Intel?

ognjengt (a GitHub user) maintains it in ognjengt/founder-skills, which has 440 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on May 18, 2026.

Source: ognjengt/founder-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.