Competitor Ads Analyst
thatrebeccarae/claude-marketing
Extract and analyze competitor advertising from public ad libraries (Facebook Ad Library, Google Ads Transparency Center, TikTok, LinkedIn).
Conduct full competitor strategy breakdowns across SEO, ads, social, email, pricing, and positioning.
$ npx skills add OpenClaudia/openclaudia-skills --skill competitor-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenClaudia/openclaudia-skills competitor-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/competitor-analysis .claude/skills/competitor-analysis && rm -rf skills-srcUse ~/.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/
Install the "competitor-analysis" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/competitor-analysis into .claude/skills/competitor-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/competitor-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OpenClaudia/openclaudia-skills --skill competitor-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenClaudia/openclaudia-skills competitor-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/competitor-analysis .agents/skills/competitor-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "competitor-analysis" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/competitor-analysis into .agents/skills/competitor-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenClaudia/openclaudia-skills --skill competitor-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenClaudia/openclaudia-skills competitor-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/competitor-analysis .cursor/skills/competitor-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "competitor-analysis" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/competitor-analysis into .cursor/skills/competitor-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OpenClaudia/openclaudia-skills.git --path skills/competitor-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OpenClaudia/openclaudia-skills --skill competitor-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenClaudia/openclaudia-skills competitor-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/competitor-analysis .gemini/skills/competitor-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "competitor-analysis" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/competitor-analysis into .gemini/skills/competitor-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OpenClaudia/openclaudia-skills competitor-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OpenClaudia/openclaudia-skills --skill competitor-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/competitor-analysis .github/skills/competitor-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "competitor-analysis" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/competitor-analysis into .github/skills/competitor-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenClaudia/openclaudia-skills --skill competitor-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenClaudia/openclaudia-skills competitor-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/competitor-analysis .opencode/skills/competitor-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "competitor-analysis" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/competitor-analysis into .opencode/skills/competitor-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
competitor-analysisConduct full competitor strategy breakdowns across SEO, ads, social, email, pricing, and positioning.
Competitor Analysis is an agent skill from OpenClaudia/openclaudia-skills. Conduct full competitor strategy breakdowns across SEO, ads, social, email, pricing, and positioning. Use when the user asks to analyze competitors, benchmark against rivals, understand competitive landscape, find competitor weaknesses, or build a competitive matrix. Trigger phrases include "competitor analysis", "competitive analysis", "who are my competitors", "competitor research", "competitive landscape", "benchmark competitors", "competitor ads", "competitor SEO", "competitor pricing", "SWOT analysis"…
Its SKILL.md is about 3.5k 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. It works with SerpApi and Google Ads. The repository describes itself as: 77 open-source marketing skills for Claude Code, Codex, and other AI coding agents. SEO, content, email, ads, analytics, and growth. The licence is MIT.
10 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 28bf209. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
curlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.semrush.comserpapi.comapi.serpingapi.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
SEMRUSH_API_KEYSERPAPI_API_KEYSERPINGAPI_API_KEYSCRAPINGBEE_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Competitor Analysis loads about 3.5k tokens when it runs. Until then it costs about 139 tokens; SKILL.md has 1,130 words of instructions outside code blocks.
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.
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.
The full file from OpenClaudia/openclaudia-skills at commit 28bf209, republished under its MIT licence (© OpenClaudia). 1,130 words, ~3,479 tokens.
.claude/skills/competitor-analysis/SKILL.md (or your agent's skills folder).You are an expert competitive intelligence analyst. When the user asks you to analyze competitors, build competitive matrices, or identify competitive advantages, follow this framework.
The following API keys enable richer data collection. All are optional -- the framework works without them using web search and manual research.
SEMRUSH_API_KEY - Domain overview, organic keywords, competitor discovery, traffic estimatesSERPAPI_API_KEY - Real-time SERP competitive analysis, ad copy extractionSERPINGAPI_API_KEY - Real-time organic SERP positions and SERP features (free tier available)SCRAPINGBEE_API_KEY - Scrape competitor pages that block direct fetchingDomain Overview - Get traffic, keywords, and authority for any competitor:
# Domain overview (organic traffic, keywords, authority score)
curl -s "https://api.semrush.com/?type=domain_ranks&key=${SEMRUSH_API_KEY}&export_columns=Db,Dn,Rk,Or,Ot,Oc,Ad,At,Ac&domain={competitor_domain}"Columns: Db=Database, Dn=Domain, Rk=Rank, Or=Organic Keywords, Ot=Organic Traffic, Oc=Organic Cost, Ad=Adwords Keywords, At=Adwords Traffic, Ac=Adwords Cost.
Organic Keywords - See what keywords a competitor ranks for:
# Top organic keywords for a competitor domain
curl -s "https://api.semrush.com/?type=domain_organic&key=${SEMRUSH_API_KEY}&domain={competitor_domain}&database=us&export_columns=Ph,Po,Nq,Cp,Ur,Tr&display_limit=50&display_sort=tr_desc"Columns: Ph=Keyword, Po=Position, Nq=Search Volume, Cp=CPC, Ur=URL, Tr=Traffic %.
Competitor Discovery - Find domains competing for the same keywords:
# Domains competing with a given domain in organic search
curl -s "https://api.semrush.com/?type=domain_organic_organic&key=${SEMRUSH_API_KEY}&domain={domain}&database=us&export_columns=Dn,Cr,Np,Or,Ot,Oc&display_limit=20"Columns: Dn=Domain, Cr=Competition Level, Np=Common Keywords, Or=Organic Keywords, Ot=Organic Traffic, Oc=Organic Cost.
Keyword Gap - Find keywords competitors rank for but you do not:
curl -s "https://api.semrush.com/?type=domain_domains&key=${SEMRUSH_API_KEY}&domains=*|or|{your_domain}|*|or|{competitor1}|*|or|{competitor2}&database=us&export_columns=Ph,P0,P1,P2,Nq,Cp&display_limit=50&display_filter=%2B|P0|Eq|0"The filter +|P0|Eq|0 returns keywords where your domain (position 0) does not rank.
SERP Competitive Analysis - See who ranks for key terms in real time:
# Real-time SERP for competitive keywords
curl -s "https://serpapi.com/search.json?q={keyword}&api_key=${SERPAPI_API_KEY}&num=20&gl=us&hl=en"Use this to:
organic_results)ads and shopping_results fieldsrelated_searchesknowledge_graph, local_results, featured_snippetGoogle Ads Competitor Analysis:
# Search a commercial keyword to see competitor ads
curl -s "https://serpapi.com/search.json?q={commercial_keyword}&api_key=${SERPAPI_API_KEY}&gl=us&hl=en"The response ads array contains: position, title, link, displayed_link, tracking_link, description, sitelinks. This reveals competitor ad copy, landing pages, and messaging.
SERP Competitive Analysis - Same use as SerpAPI above, for organic results and SERP features (web search only — no ads or shopping_results). Also usable when no SerpAPI key is configured:
# Real-time SERP for competitive keywords
curl -s -X POST "https://api.serpingapi.com/v1/search" \
-H "X-API-Key: ${SERPINGAPI_API_KEY}" \
-H "Content-Type: application/json" \
-d '{"q": "{keyword}", "gl": "us", "hl": "en", "num": 20}'Use this to:
organic: position, title, link, snippet)relatedSearches (.query)knowledgeGraph, answerBox, peopleAlsoAsk"tbs": "qdr:m" to see who ranked in the last month, or "location" for a local SERPErrors are {"error": {"code", "message"}}; on 429 quota_exceeded tell the user the monthly quota is spent and fall back to WebSearch.
Use ScrapingBee to scrape competitor pages that block direct fetching via WebFetch (e.g., JavaScript-heavy pages, bot-protected sites, pricing pages):
# Scrape a competitor page
curl -s "https://app.scrapingbee.com/api/v1/?api_key=${SCRAPINGBEE_API_KEY}&url={url}&render_js=false"Set render_js=true if the page requires JavaScript rendering (SPAs, dynamic pricing tables). Useful for:
Note: ScrapingBee charges per request. Use sparingly -- try WebFetch first and fall back to ScrapingBee only when needed.
Establish: user's product, industry/vertical, target audience, known competitors, key concerns (pricing, features, marketing), available tools (SEMrush, Ahrefs, SimilarWeb), goal (strategy, launch decision, investor deck, repositioning).
Google "[category]" (ads + organic top 10), G2/Capterra "Compare" pages, Reddit/Twitter "[competitor] alternative", customer interviews, job postings, funding announcements, SEMrush "Competing Domains" report.
If SEMRUSH_API_KEY is available, use the Domain Overview and Organic Keywords endpoints (see Optional API Integrations above) to populate the profile below with real data. If SERPAPI_API_KEY or SERPINGAPI_API_KEY is available, supplement with real-time SERP position data. Otherwise, use WebSearch and public tools to estimate.
For each competitor:
COMPETITOR SEO PROFILE: [Company Name]
DA/DR: [score] | Monthly Organic Traffic: [volume] | Ranking Keywords: [total]
TOP KEYWORDS: [keyword, position, volume, traffic share]
CONTENT STRATEGY:
Post frequency, avg length, content types, top 5 performing URLs
BACKLINK PROFILE:
Total backlinks, referring domains, top linking domains, acquisition rate
TECHNICAL: Site speed, mobile optimization, schema markup, architectureA headline like "74% organic" does not mean a competitor is winning at SEO discovery. Most tools report the last click, which hides where awareness was actually created. Decompose before you draw conclusions:
auto ppt matches autoppt). Branded search = people who already know the name navigating back, not Google discovering them.Channel fingerprint → find the real top-of-funnel. Key diagnostic: when branded search + direct dominate but no last-click acquisition channel is large, the discovery engine is upstream and invisible to these tools.
| Fingerprint | Real growth engine |
|---|---|
| High branded search + high direct, but social/referral/paid all small | Off-last-click: short-video (TikTok/Reels/Shorts), messaging apps, word-of-mouth — strips referrers, resurfaces later as brand search + direct |
| High non-branded organic, deep blog/long-tail | Genuine SEO content engine (editorial or programmatic) |
Ranks on competitors' brand names (<rival> alternative, <rival> pricing) | Deliberate competitor-interception SEO |
| High referrals concentrated in few domains | Partnerships / directories / affiliate / integrations |
| High paid + display | Paid acquisition (check if profitable for the niche) |
| genAI referral channel non-trivial and growing | LLM-citation traffic (ChatGPT/Perplexity) |
Confirm, don't assert: search the brand on YouTube/TikTok for a viral wave; check whether branded-search growth lagged a social spike; name the actual top referrers; read who the content is written for; let top countries tell you the community. Only then write the "how they really grow" verdict.
COMPETITOR AD PROFILE: [Company Name]
Est. Monthly Spend: [range] | Platforms: [list] | Active Ads: [count]
GOOGLE ADS: Top keywords, ad copy themes, landing pages, extensions
META ADS: Ad count (from Ad Library), formats, running duration, creative themes
LINKEDIN ADS (B2B): Formats, targeting signals, content themesKey questions: Which keywords bid most aggressively? What landing pages do ads point to (reveals best offers)? How long have top ads been running (long = profitable)? Running retargeting?
| Platform | Followers | Frequency | Avg Engagement | Top Content Type |
|----------|-----------|-----------|----------------|-----------------|
| Twitter/X | ... | ... | ... | ... |
| LinkedIn | ... | ... | ... | ... |
| Instagram | ... | ... | ... | ... |
| YouTube | ... | ... | ... | ... |
CONTENT THEMES: [theme, engagement level] x3
TOP POSTS (last 90 days): [platform, description, metrics]
COMMUNITY: Response time, tone, UGC, community spacesSign up for every competitor's list, trial, and newsletter. Track:
| Feature/Plan | You | Comp A | Comp B | Comp C |
|-------------|-----|--------|--------|--------|
| Free Tier | ... | ... | ... | ... |
| Starter | ... | ... | ... | ... |
| Pro | ... | ... | ... | ... |
| Enterprise | ... | ... | ... | ... |Note model type, billing options, add-ons, discounts, price anchoring.
Create a 2x2 map on the two most important dimensions (e.g., Price vs. Simplicity). Identify white space opportunities.
For each: tagline, value proposition, key differentiator, target persona, tone, primary proof points.
For each major competitor:
STRENGTHS: [with evidence]
WEAKNESSES: [with evidence from reviews, complaints, feature gaps]
OPPORTUNITIES: [market trends in their favor]
THREATS: [your advantages or market shifts against them]Weakness sources: G2/Capterra 1-2 star reviews, Reddit/Twitter complaints, Glassdoor, Down Detector, feature comparison gaps, support forums.
| Dimension | You | Comp A | Comp B | Comp C |
|-----------|-----|--------|--------|--------|
| Founded | ... | ... | ... | ... |
| Funding/Revenue | ... | ... | ... | ... |
| Target Market | ... | ... | ... | ... |
| Entry Price | ... | ... | ... | ... |
| Key Differentiator | ... | ... | ... | ... |
| DA | ... | ... | ... | ... |
| Monthly Traffic | ... | ... | ... | ... |
| G2 Rating | ... | ... | ... | ... |
| Feature 1-3 | Y/N | Y/N | Y/N | Y/N |STRATEGIC RECOMMENDATIONS
==========================
1. POSITIONING: Current vs. recommended position, key message, differentiation
2. CONTENT: Priority keywords, content types, topics to own
3. PAID: Keywords competitors miss, ad angles, channel priorities
4. PRODUCT: Features to build (from gaps), features to deprioritize
5. PRICING: Adjustments, packaging opportunities
6. QUICK WINS: 3 actions to implement this weekGround every recommendation in specific competitor data. Prioritize by impact and ease of implementation.
© OpenClaudia, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/competitor-analysis of OpenClaudia/openclaudia-skills.
Open the folder on GitHubat commit 28bf209
Competitor Analysis 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Competitor Analysis this skillOpenClaudia/openclaudia-skills | 711 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Competitor Ads Analystthatrebeccarae/claude-marketing | 162 | — | ~956 | Automated safety check: Pass | MIT | |
| SEO Content Brief GeneratorAgriciDaniel/claude-seo | 18k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Blog GoogleAgriciDaniel/claude-blog | 2.3k | 1 repos | ~3.3k | Automated safety check: Notes | MIT | |
| Startup Competitorsferdinandobons/startup-skill | 1.2k | 1 repos | ~4.1k | Automated safety check: Pass | MIT | |
| Amazon Listing Competitor Analysisbrowser-act/skills | 6.1k | 2 repos | ~3.2k | Automated safety check: Pass | MIT |
thatrebeccarae/claude-marketing
Extract and analyze competitor advertising from public ad libraries (Facebook Ad Library, Google Ads Transparency Center, TikTok, LinkedIn).
AgriciDaniel/claude-seo
Builds research-backed SEO content briefs with competitor scoring, per-section word counts and page-type templates, for new pages or improving existing ones.
AgriciDaniel/claude-blog
Google API integration for blog performance: PageSpeed Insights, CrUX Core Web Vitals with 25-week history, Search Console performance, URL Inspection, Indexing API, GA4 organic traffic, NLP entity…
ferdinandobons/startup-skill
Deep competitive intelligence for any market. An agent skill from ferdinandobons/startup-skill.
browser-act/skills
Analyzes a competitor's Amazon listing by ASIN with BrowserAct data extraction, then reports what it does well, where the market has gaps and opportunity points for your own listing.
AgriciDaniel/codex-seo
Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.
OpenClaudia/openclaudia-skills
Build an interactive competitive-traffic report for any company and its rivals — monthly visits (SimilarWeb), organic search traffic and Domain Rating (Ahrefs) — as one self-contained HTML page with…
OpenClaudia/openclaudia-skills
Score how hard a keyword is to rank for in the AI-search era — page-level URL Rating of real competitors (not just domain DR), Ahrefs keyword difficulty, and whether a given site already ranks or is…
OpenClaudia/openclaudia-skills
Audit EVERY Google Search Console property at once — rank all sites by clicks and impressions with period-over-period deltas, then diff keywords per site to surface what is newly ranking, rising…
OpenClaudia/openclaudia-skills
Fetch website traffic estimates (monthly visits, traffic sources, top countries, keywords, engagement, ranks) for any domain from SimilarWeb.
OpenClaudia/openclaudia-skills
Manages Ahrefs API usage in Python using ahrefs-python library.
OpenClaudia/openclaudia-skills
Design, plan, and analyze A/B tests with statistical rigor. An agent skill from OpenClaudia/openclaudia-skills.
Works with
Categories
Conduct full competitor strategy breakdowns across SEO, ads, social, email, pricing, and positioning. Competitor Analysis is an agent skill from OpenClaudia/openclaudia-skills. Conduct full competitor strategy breakdowns across SEO, ads, social, email, pricing, and positioning.
Competitor Analysis fits situations like: the user asks to analyze competitors; benchmark against rivals; understand competitive landscape; find competitor weaknesses.
Run `npx skills add OpenClaudia/openclaudia-skills --skill competitor-analysis -a claude-code`. Or copy the skill folder (skills/competitor-analysis in OpenClaudia/openclaudia-skills) into .claude/skills/competitor-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OpenClaudia/openclaudia-skills --skill competitor-analysis -a codex`. Or copy the skill folder (skills/competitor-analysis in OpenClaudia/openclaudia-skills) into .agents/skills/competitor-analysis in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenClaudia/openclaudia-skills --skill competitor-analysis -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-analysis, .gemini/skills/competitor-analysis, .github/skills/competitor-analysis and .opencode/skills/competitor-analysis in your project.
Going by SKILL.md and its folder, Competitor Analysis needs the command-line tools its instructions call (curl) and credentials named SEMRUSH_API_KEY, SERPAPI_API_KEY, SERPINGAPI_API_KEY and SCRAPINGBEE_API_KEY. Our summary lists: A credential in SEMRUSH_API_KEY; A credential in SERPAPI_API_KEY.
SKILL.md names 3 domains. In commands or code: api.semrush.com, serpapi.com and api.serpingapi.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
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.
Competitor Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Competitor Analysis: Competitor Ads Analyst (thatrebeccarae/claude-marketing, 162 stars), SEO Content Brief Generator (AgriciDaniel/claude-seo, 18k stars), Blog Google (AgriciDaniel/claude-blog, 2.3k stars) and Startup Competitors (ferdinandobons/startup-skill, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
OpenClaudia (a GitHub organization) maintains it in OpenClaudia/openclaudia-skills, which has 711 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on September 18, 2026.
Source: OpenClaudia/openclaudia-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.