Agent skill

Competitor Content Tracker

by gooseworks-ai in gooseworks-ai/goose-skills

Monitor competitor content across blogs, LinkedIn, and Twitter/X on a recurring basis.

MITAuto-check passedWriting & Content

Install Competitor Content Tracker

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill competitor-content-tracker -a claude-code

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills competitor-content-tracker --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/competitive-intel/composites/competitor-content-tracker .claude/skills/competitor-content-tracker && 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-content-tracker
GitHub stars
1.2k
Used in
1 other repo
Token cost
~1.4k tokens
SKILL.md length
401 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Monitor competitor content across blogs, LinkedIn, and Twitter/X on a recurring basis.

  • Works in 6 steps: Intake → Scrape Blog Content → Scrape LinkedIn Posts → …
  • You want a weekly digest of what competitors are publishing and which topics are generating engagement
  • SKILL.md covers When to Use, Phase 0: Intake, Phase 1: Scrape Blog Content and Phase 2: Scrape LinkedIn Posts, plus 7 more sections
  • Calls python3; reaches clay.com and linkedin.com; needs APIFY_API_TOKEN

What it does

Competitor Content Tracker is an agent skill from gooseworks-ai/goose-skills. Monitor competitor content across blogs, LinkedIn, and Twitter/X on a recurring basis. Surfaces new posts, trending topics, and content gaps you can own. Chains blog-feed-monitor, linkedin-profile-post-scraper, and twitter-mention-tracker. Use when you want a weekly digest of what competitors are publishing and which topics are generating engagement.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Writing & Content, covering Web scraping, Resume and CV writing and Newsletters. It works with X (Twitter) and LinkedIn. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • You want a weekly digest of what competitors are publishing and which topics are generating engagement
  • Tasks that involve Web scraping
  • Tasks that involve Resume and CV writing

Example prompts

  • “/competitor-content-tracker”

Requirements

  • Python 3
  • A credential in APIFY_API_TOKEN

Workflow steps

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

  1. Intake
  2. Scrape Blog Content
  3. Scrape LinkedIn Posts
  4. Scrape Twitter/X
  5. Analyze & Synthesize
  6. Output Format

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. 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

    Shell commands in SKILL.md call:

    • python3

    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:

    • clay.com
    • linkedin.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • APIFY_API_TOKEN

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

Context cost

Competitor Content Tracker loads about 1.4k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 401 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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 gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 401 words, ~1,412 tokens.

Download SKILL.mdSave it as .claude/skills/competitor-content-tracker/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
competitor-content-tracker
description
Monitor competitor content across blogs, LinkedIn, and Twitter/X on a recurring basis. Surfaces new posts, trending topics, and content gaps you can own. Chains blog-feed-monitor, linkedin-profile-post-scraper, and twitter-mention-tracker. Use when you want a weekly digest of what competitors are publishing and which topics are generating engagement.
tags
competitive-intel

Competitor Content Tracker

Monitor competitor content activity across three channels — blog, LinkedIn, Twitter/X — and produce a consolidated digest highlighting what's new, what's getting traction, and where you have a content gap.

When to Use

  • "Track what [competitor] is publishing"
  • "Show me what my competitors posted this week"
  • "What topics are competitors winning on?"
  • "I want a weekly competitor content digest"

Phase 0: Intake

Competitors to Track
  1. List of competitor company names + blog URLs (e.g., https://clay.com/blog)
  2. LinkedIn profile URLs of competitor founders/CMOs to track (optional but high-value)
  3. Twitter/X handles of the competitors or their founders (optional)
Scope
  1. How far back? (default: 7 days for weekly digest, 30 days for first run)
  2. Any topics/keywords you care most about? (used to surface relevant posts first)
Output
  1. Format preference: full digest (everything) or highlights only (top 3-5 per competitor)?

Save config to clients/<client-name>/configs/competitor-content-tracker.json.

json
{
  "competitors": [
    {
      "name": "Clay",
      "blog_url": "https://clay.com/blog",
      "linkedin_profiles": ["https://www.linkedin.com/in/kareem-amin/"],
      "twitter_handles": ["@clay_hq", "@kareemamin"]
    }
  ],
  "days_back": 7,
  "keywords": ["GTM", "outbound", "AI agents", "growth"],
  "output_mode": "highlights"
}

Phase 1: Scrape Blog Content

Run blog-feed-monitor for each competitor blog URL:

bash
python3 skills/capabilities/blog-feed-monitor/scripts/scrape_blogs.py \
  --urls "<competitor_blog_url>" \
  --days <days_back> \
  --keywords "<keywords>" \
  --output summary

Collect: post title, publish date, URL, excerpt.

Phase 2: Scrape LinkedIn Posts

Run linkedin-profile-post-scraper for each tracked founder/executive LinkedIn URL:

bash
python3 skills/capabilities/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \
  --profiles "<linkedin_url_1>,<linkedin_url_2>" \
  --days <days_back> \
  --max-posts 20 \
  --output summary

Collect: post text preview, date, reactions, comments, post URL.

Phase 3: Scrape Twitter/X

Run twitter-mention-tracker for each handle:

bash
python3 skills/capabilities/twitter-mention-tracker/scripts/search_twitter.py \
  --query "from:<handle>" \
  --since <YYYY-MM-DD> \
  --until <YYYY-MM-DD> \
  --max-tweets 20 \
  --output summary

Collect: tweet text, date, likes, retweets, URL.

Phase 4: Analyze & Synthesize

After collecting raw data, synthesize across all channels:

For each competitor, identify:
  • New blog posts — titles, dates, topics
  • Top LinkedIn post — by engagement (reactions + comments), topic, key message
  • Top tweet — by likes, topic
  • Recurring themes — what topics did they post about most this period?
  • Content format patterns — are they doing listicles, opinion pieces, case studies?
Show full SKILL.md (140 more words)Show less
Cross-competitor analysis:
  • Shared trending topics — what are multiple competitors writing about?
  • Coverage gaps — topics they're covering that you're not
  • Topics you own — where you're publishing and they're not
  • Engagement benchmarks — average likes/reactions across competitors (context for your own performance)

Phase 5: Output Format

Produce a structured markdown digest:

markdown
# Competitor Content Digest — Week of [DATE]

## Summary
- [N] new blog posts tracked across [N] competitors
- Top trending topic: [topic]
- Biggest content gap for you: [topic]

---

## [Competitor Name]

### Blog
- [Post Title] — [Date] — [URL]
  > [One-sentence summary]

### LinkedIn (top post)
> "[Post preview...]"
— [Author], [Date] | [Reactions] reactions, [Comments] comments
[URL]

### Twitter/X (top tweet)
> "[Tweet text]"
— [@handle], [Date] | [Likes] likes
[URL]

### Themes this week: [tag1], [tag2], [tag3]

---

## Content Gap Analysis

| Topic | Competitors covering | You covering |
|-------|---------------------|--------------|
| [topic] | Clay, Apollo | ❌ No |
| [topic] | Nobody | ✅ Yes |

## Recommended Actions
1. [Specific content opportunity to act on this week]
2. [Topic to consider writing a response/alternative take on]

Save digest to clients/<client-name>/intelligence/competitor-content-[YYYY-MM-DD].md.

Scheduling

This skill is designed to run weekly (Mondays recommended). Set up a cron job:

bash
# Every Monday at 8am
0 8 * * 1 python3 run_skill.py competitor-content-tracker --client <client-name>

Cost

ComponentCost
Blog scraping (RSS mode)Free
LinkedIn post scraping~$0.05-0.20/profile (Apify)
Twitter scraping~$0.01-0.05 per run
Total per weekly run~$0.10-0.50 depending on scope

Tools Required

  • Apify access — via Gooseworks proxy by default (no key needed); set APIFY_API_TOKEN to BYO Apify
  • Upstream skills: blog-feed-monitor, linkedin-profile-post-scraper, twitter-mention-tracker

Trigger Phrases

  • "Run competitor content tracker for [client]"
  • "What did my competitors publish this week?"
  • "Give me a competitor content digest"
  • "What's [competitor] writing about?"

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

Files

SKILL.md and 1 other file in skills/competitive-intel/composites/competitor-content-tracker of gooseworks-ai/goose-skills.

  • SKILL.md
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Competitor Content Tracker 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.

Competitor Content Tracker compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Competitor Content Tracker this skillgooseworks-ai/goose-skills1.2k1 repos~1.4kAutomated safety check: PassMIT
Unipile Linkedin SDKLeoYeAI/openclaw-master-skills2.2k—~4.1kAutomated safety check: NotesMIT
Changelog Social RecapFlorianBruniaux/claude-code-ultimate-guide6.1k—~1.8kAutomated safety check: NotesCC-BY-SA-4.0
ShareSerhiiKorniienko/bullshit-detector154—~857Automated safety check: PassMIT
Content Repurposer Smsblacktwist/social-media-skills560—~3.7kAutomated safety check: PassMIT
Podcast Pipelineericosiu/ai-marketing-skills3.6k1 repos~2.6kAutomated safety check: PassMIT

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Questions about Competitor Content Tracker

What does Competitor Content Tracker do?

Monitor competitor content across blogs, LinkedIn, and Twitter/X on a recurring basis. Competitor Content Tracker is an agent skill from gooseworks-ai/goose-skills. Monitor competitor content across blogs, LinkedIn, and Twitter/X on a recurring basis.

When should I use Competitor Content Tracker?

Competitor Content Tracker fits situations like: you want a weekly digest of what competitors are publishing and which topics are generating engagement; tasks that involve Web scraping; tasks that involve Resume and CV writing.

How do I install Competitor Content Tracker in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill competitor-content-tracker -a claude-code`. Or copy the skill folder (skills/competitive-intel/composites/competitor-content-tracker in gooseworks-ai/goose-skills) into .claude/skills/competitor-content-tracker in your project. Claude Code loads it when a task matches its description.

How do I install Competitor Content Tracker in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill competitor-content-tracker -a codex`. Or copy the skill folder (skills/competitive-intel/composites/competitor-content-tracker in gooseworks-ai/goose-skills) into .agents/skills/competitor-content-tracker in your project. Codex loads it when a task matches its description.

Can I use Competitor Content Tracker 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 gooseworks-ai/goose-skills --skill competitor-content-tracker -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-content-tracker, .gemini/skills/competitor-content-tracker, .github/skills/competitor-content-tracker and .opencode/skills/competitor-content-tracker in your project.

What does Competitor Content Tracker need to run?

Going by SKILL.md and its folder, Competitor Content Tracker needs the command-line tools its instructions call (python3) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN.

Does Competitor Content Tracker access the network?

SKILL.md names 2 domains. In commands or code: clay.com and linkedin.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Competitor Content Tracker 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 Content Tracker use?

Competitor Content Tracker 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 Content Tracker use?

About 1.4k tokens (SKILL.md is roughly 5.6k 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 Content Tracker?

Skills that share tags, products or a category with Competitor Content Tracker: Unipile Linkedin SDK (LeoYeAI/openclaw-master-skills, 2.2k stars), Changelog Social Recap (FlorianBruniaux/claude-code-ultimate-guide, 6.1k stars), Share (SerhiiKorniienko/bullshit-detector, 154 stars) and Content Repurposer Sms (blacktwist/social-media-skills, 560 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Competitor Content Tracker?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

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