Agent skill · Databases

contact-cache

Track all identified/contacted people across strategies. CSV-backed contact database with dedup by LinkedIn URL or email. Prevents duplicate outreach when running strategies on a recurring cadence.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add gooseworks-ai/goose-skills --skill contact-cache --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 2 KB
Bundled scripts: yes
Path: skills/lead-generation/capabilities/contact-cache/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Contact Cache Track all identified/contacted people across strategies. CSV-backed contact database with dedup by LinkedIn URL or email. Prevents duplicate outreach when running strategies on a recurring cadence. ## Usage ```bash # Check if contacts are already cached python3 skills/contact-cache/scripts/cache.py check --linkedin-urls "https://linkedin.com/in/person1,https://linkedin.com/in/person2" python3 skills/contact-cache/scripts/cache.py check --emails "john@example.com,jane@example.com" # Add a single contact python3 skills/contact-cache/scripts/cache.py add --name "John Smith" --linkedin-url "https://linkedin.com/in/johnsmith" --email "john@example.com" --company "Acme Corp" --title "VP Finance" --strategy "2A-hiring-signal" # Bulk import from CSV python3 skills/contact-cache/scripts/cache.py add --csv /path/to/leads.csv --strategy "2A-hiring-signal" # Update a contact's status python3 skills/contact-cache/scripts/cache.py update --linkedin-url "https://linkedin.com/in/johnsmith" --status contacted --notes "Sent intro email 2026-02-24" # Export the full cache python3 skills/contact-cache/scripts/cache.py export --format csv python3 skills/contact-cache/scripts/cache.py ex

What's inside
Steps it walks through
  1. Usage
  2. Data
  3. Valid Statuses
Ships with 2 files
  • scripts/cache.py
  • skill.meta.json
Commands it runs
Check if contacts are already cached
python3 skills/contact-cache/scripts/cache.py check --linkedin-urls "https://linkedin.com/in/person1,https://linkedin.com/in/person2"
python3 skills/contact-cache/scripts/cache.py check --emails "john@example.com,jane@example.com"
Add a single contact
Bulk import from CSV
python3 skills/contact-cache/scripts/cache.py add --csv /path/to/leads.csv --strategy "2A-hiring-signal"
Update a contact's status
python3 skills/contact-cache/scripts/cache.py update --linkedin-url "https://linkedin.com/in/johnsmith" --status contacted --notes "Sent intro email 2026-02-24"
Export the full cache
python3 skills/contact-cache/scripts/cache.py export --format csv
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About this skill
What does the contact-cache skill do?

Track all identified/contacted people across strategies. CSV-backed contact database with dedup by LinkedIn URL or email. Prevents duplicate outreach when running strategies on a recurring cadence.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill contact-cache --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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