analyzing-youtube-competitor-channel-strategy
Analyzes competitor YouTube channel strategy and content performance using apidojo's YouTube scraper. Triggers when the user asks to: analyze a competitor's YouTube channel strategy, understand what makes a competitor YouTube channel successful, benchmark a YouTube channel against a competitor, find patterns in a competitor's YouTube content that drive growth, analyze the content mix and publishing cadence of a competitor channel, understand a competitor's YouTube audience and engagement, or reverse-engineer what a competitor is doing well on YouTube. Returns content mix, format performance, publishing cadence, engagement benchmarks, and strategic insights. Ideal for YouTube content strategists, brand video teams, and competitive intelligence analysts.
- Installs
- 812
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/apidojo-io/apidojo-skills --skill analyzing-youtube-competitor-channel-strategy- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads analyzing-youtube-competitor-channel-strategy automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Analyzing Youtube Competitor Channel Strategy
Executes analyzing youtube competitor channel strategy using apidojo scrapers. Part of the apidojo intelligence skills library.
Prerequisites
APIFY_TOKENenvironment variable set- Optional: Apify MCP server installed
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | Optional | [] | YouTube URLs — channels, playlists, Shorts, search results |
youtubeHandles | array | Optional | [] | YouTube channel handles (e.g. @kurzgesagt) |
getTrending | boolean | Optional | false | Retrieve trending videos |
keywords | array | Optional | [] | Search keywords |
gl | string | Optional | us | Country code for results (e.g. US, GB) |
hl | string | Optional | en | Language code (e.g. en, de) |
uploadDate | string | Optional | all | Upload date filter: any, hour, today, week, month, year |
duration | string | Optional | all | Duration filter: any, short, long |
features | string | Optional | all | Feature filter: 4k, hd, live, cc, 3d, hdr, etc. |
sort | string | Optional | r | Sort order for search results |
maxItems | number | Optional | Unlimited | Maximum videos to return |
customMapFunction | string | Optional | — | JavaScript function to transform each output object |
Workflow
Progress:
- [ ] Step 1: Define parameters
- [ ] Step 2: Run youtube-scraper
- [ ] Step 3: Filter and classify results
- [ ] Step 4: Score by quality and relevance
- [ ] Step 5: Deliver output
Step 2: Run the Actor
Recommended — run_actor.js (handles waiting, output, and file saving automatically):
# Quick answer (prints table to chat)
node scripts/run_actor.js \
--actor "apidojo~youtube-scraper" \
--input '{"param": "value"}'
# Save as CSV
node scripts/run_actor.js \
--actor "apidojo~youtube-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.csv --format csv
# Save as JSON
node scripts/run_actor.js \
--actor "apidojo~youtube-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.json --format json
APIFY_TOKENmust be set in environment or.envfile.
If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~youtube-scraper"
Input:
{
"searchTerms": "https://www.youtube.com/@[COMPETITOR_CHANNEL]",
"maxItems": 100
}
REST API fallback:
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~youtube-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"searchTerms": "https://www.youtube.com/@[COMPETITOR_CHANNEL]", "maxItems": 100}'
Wait for SUCCEEDED. Fetch dataset:
curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"
Step 3: Classify Results
classification: GROWING (view rate > 20%) | HEALTHY (10-20%) | PLATEAU (5-10%) | DECLINING (< 5%)
Step 4: Score Each Result
score = channel_health = avg_views/subscriber_count * 100 # view rate; healthy > 10%
Step 5: Edge Cases
- Channels with old viral videos have inflated subscriber counts relative to current performance — use median views from last 20 videos as the current health indicator
Additional fallbacks:
- < 20 results: Broaden search terms; remove secondary filters
- No results: Verify the search terms are correct; try alternate phrasings
- Data quality issues: Remove entries with missing key fields; note count in output
Output Format
# Analyzing Youtube Competitor Channel Strategy
Results: [N] | Date: [DATE]
| # | [Key Field] | [Metric 1] | [Metric 2] | [Classification] | [Score] |
|---|------------|-----------|-----------|-----------------|---------|
| 1 | [value] | [value] | [value] | [type] | [0.XX] |
## Summary
Top result: [description]
Key finding: [insight]
Troubleshooting
Too few results: Broaden the primary search term; remove restrictive filters. Low quality results: Apply minimum score threshold (≥ 0.50) to filter noise. Actor fails to run: Verify API key; check actor status at apify.com/apidojo.
FAQ
What does the analyzing-youtube-competitor-channel-strategy skill do?
Analyzes competitor YouTube channel strategy and content performance using apidojo's YouTube scraper. Triggers when the user asks to: analyze a competitor's YouTube channel strategy, understand what makes a competitor YouTube channel successful, benchmark a YouTube channel against a competitor, find patterns in a competitor's YouTube content that drive growth, analyze the content mix and publishing cadence of a competitor channel, understand a competitor's YouTube audience and engagement, or reverse-engineer what a competitor is doing well on YouTube. Returns content mix, format performance, publishing cadence, engagement benchmarks, and strategic insights. Ideal for YouTube content strategists, brand video teams, and competitive intelligence analysts.
How do I install analyzing-youtube-competitor-channel-strategy?
Run npx skills add https://github.com/apidojo-io/apidojo-skills --skill analyzing-youtube-competitor-channel-strategy in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/analyzing-youtube-competitor-channel-strategy/ (personal) or .claude/skills/analyzing-youtube-competitor-channel-strategy/ (project).
Which AI agents can use analyzing-youtube-competitor-channel-strategy?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is analyzing-youtube-competitor-channel-strategy safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains analyzing-youtube-competitor-channel-strategy?
It is published by apidojo-io in apidojo-io/apidojo-skills. It has 812 recorded installs.
More from apidojo-io/apidojo-skills
discovering-viral-youtube-videos-by-category
apidojo-io/apidojo-skills
Discovers trending and viral YouTube videos by category and country using apidojo's YouTube Trending Scraper on Apify. Triggers when the user asks to: find viral YouTube videos today, discover what's trending on YouTube in a specific country, get trending gaming or music videos on YouTube, find top YouTube videos this week by category, identify viral content on YouTube for inspiration, research what topics are dominating YouTube trending, or track trending YouTube content for content strategy. Returns video title, views, likes, channel info, duration, keywords, and thumbnail. Ideal for content strategists, YouTubers, and trend researchers.
finding-instagram-creators-by-location
apidojo-io/apidojo-skills
Finds Instagram content creators and influencers posting from a specific location using apidojo's Instagram location scraper on Apify. Triggers when the user asks to: find Instagram creators based in a city, discover local influencers in a geographic market, find content creators who post from a specific venue or neighborhood, identify local Instagram micro-influencers for geo-targeted campaigns, find creators in a country for regional brand partnerships, or discover influencers who have visited or are based in a specific location. Returns creator handle, post count at location, follower estimate, engagement, and recent content. Ideal for regional brand campaigns, local business marketing, and geo-targeted influencer programs.
scraping-tiktok-profile-data
apidojo-io/apidojo-skills
Scrapes TikTok profile statistics and metadata for any list of accounts using apidojo's TikTok Profile scraper on Apify. Triggers when the user asks to: get TikTok profile stats for an account, fetch follower count and engagement data for TikTok users, scrape TikTok account metadata in bulk, export TikTok profile information for a list of creators, check TikTok stats for multiple usernames, or get bio and follower data from TikTok profiles. Returns username, follower count, following count, total likes, video count, and bio. Ideal for influencer vetting, data enrichment, and audience analysis.
tracking-youtube-trending-topics-by-niche
apidojo-io/apidojo-skills
Tracks trending YouTube topics and video formats in a specific niche using apidojo's YouTube scraper on Apify. Triggers when the user asks to: find trending YouTube topics in a niche, discover what videos are getting views right now in a category, identify trending YouTube formats or themes in an industry, find high-performing YouTube video ideas from search trends, research what the YouTube algorithm is currently rewarding in a topic area, discover rising YouTube creators in a niche, or analyze what video angles perform best on YouTube in a category. Returns trending video titles, view counts, engagement metrics, format patterns, and topic themes. Ideal for YouTube content creators, video marketers, and brand video strategists.
analyzing-twitter-sentiment-for-topic
apidojo-io/apidojo-skills
Analyzes public sentiment on Twitter/X for any topic, brand, or event using apidojo's Tweet scrapers on Apify. Triggers when the user asks to: analyze Twitter sentiment about a topic, measure public opinion on Twitter, see if sentiment is positive or negative about a brand or issue on X, analyze the emotional tone of tweets about an event, research how Twitter reacts to a news story, measure brand or product sentiment from tweets, or compare sentiment between two competing topics or brands on Twitter. Returns sentiment classification, top positive and negative tweets, volume over time, and key themes. Ideal for PR teams, market researchers, political analysts, and social listening platforms.
building-full-social-audit-for-brand
apidojo-io/apidojo-skills
Builds a comprehensive social media audit for a brand across all major platforms using apidojo's multi-platform scrapers. Triggers when the user asks to: do a social media audit for a brand, build a full social media presence report, analyze a brand's performance across all social platforms, create a cross-platform social media benchmark, audit a competitor's entire social media strategy, build a social media scorecard for a brand, or create a comprehensive social media analysis covering Twitter Instagram TikTok and YouTube. Returns per-platform metrics, follower counts, engagement rates, content mix, posting frequency, and overall brand health score. Ideal for social media managers, brand strategists, and agency teams doing comprehensive brand audits.
Popular code quality & workflow skills
grill-me
mattpocock/skills
A relentless interview to sharpen a plan or design.
improve-codebase-architecture
mattpocock/skills
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
handoff
mattpocock/skills
Compact the current conversation into a handoff document for another agent to pick up.
domain-modeling
mattpocock/skills
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.
codebase-design
mattpocock/skills
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.