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Competitor Post Engagers · gooseworks-ai | DecimalAI

marketingby gooseworks-ai

Competitor Post Engagers

gooseworks-ai/competitor-post-engagers

Source gooseworks-ai/goose-skills ↗License MIT

Find leads by scraping engagers from a competitor's top LinkedIn posts. Given one or more company page URLs, scrapes recent posts, ranks by engagement, selects the top N, extracts all reactors and commenters, ICP-classifies, and exports CSV.

SkillScore88Maintained

Automatic

Sales & GTM pack

Last verified 8/16/2026

What it changes

Passed 21 of 24 test cases with the skill, and 6 of 24 without it.

Without skill27%

With skill88%

Checks it passed that the model alone missed

Uses Tech Vendor tier.
Specifies --top-n CLI flag.
Classifies the lead as Likely ICP.

and 13 more in the full report

16 fixed7 passed either way3 still failing0 broke

Pass-rate lift: +62 pp
Tokens: +103%
Agent turns: 0%
Response time: -53%

Model gemini-3.6-flashMeasured 8/16/2026v123 of 26 cases passed with skill · 24 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/gooseworks-ai-competitor-post-engagers/SKILL.md https://app.decimal.ai/s/gooseworks-ai-competitor-post-engagers/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add gooseworks-ai-competitor-post-engagers, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/gooseworks-ai-competitor-post-engagers/ and pins it in .decimal/skills.lock

decimalai skills add gooseworks-ai-competitor-post-engagers

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/gooseworks-ai-competitor-post-engagers/SKILL.md https://app.decimal.ai/s/gooseworks-ai-competitor-post-engagers/SKILL.md

Raw file: /s/gooseworks-ai-competitor-post-engagers/SKILL.md ↗ · machine-readable summary at /s/gooseworks-ai-competitor-post-engagers.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 16

Prompt

What exact environment variable name in .env must hold the authentication token for Apify scraper requests?

What was checked, without and with the skill
Checked	Without skill	With skill
Uses APIFY_API_TOKEN environment variable.	Missed	Passed

case-25 · gemini-3.6-flash · 8/16/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md156 lines2 filesincludes scripts

Competitor Post Engagers

Find ICP-fit leads by scraping engagers from a competitor's top-performing LinkedIn posts. Given one or more company page URLs, this skill finds their highest-engagement recent posts, extracts everyone who reacted or commented, and classifies by ICP fit.

Core principle: Scrape all posts in one call per company, then locally rank and select the top N. This minimizes Apify costs while maximizing lead quality.

Phase 0: Intake

Ask the user these questions:

Target Companies

LinkedIn company page URL(s) to scrape (e.g., https://www.linkedin.com/company/11x-ai/)
Time window — how many days back to look (default: 30)
Top N posts per company to extract engagers from (default: 1)

ICP Criteria

ICP keywords — job title/role terms that indicate a good lead (e.g., "sales", "SDR", "revenue")
Exclude keywords — roles to filter out (e.g., "software engineer", "designer")
Geographic focus (optional, e.g., "United States")

Save config in the current working directory (or user-specified path):

competitor-post-engagers-config.json

Config JSON structure:

{
  "name": "<run-name>",
  "company_urls": ["https://www.linkedin.com/company/<competitor>/"],
  "days_back": 30,
  "max_posts": 50,
  "max_reactions": 500,
  "max_comments": 200,
  "top_n_posts": 1,
  "icp_keywords": ["sales", "revenue", "growth", "SDR", "BDR", "outbound"],
  "exclude_keywords": ["software engineer", "developer", "designer"],
  "enrich_companies": true,

Track record

Benchmark

21 / 24

test cases passed, vs 6 / 24 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

gooseworks-ai / goose-skills

skills/lead-generation/capabilities/competitor-post-engagers/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1Bundled 1 file · scripts

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Ready to supercharge your AI agents?

See it in action

What's inside

Competitor Post Engagers

Phase 0: Intake

Target Companies

ICP Criteria

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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