network-scan
Scan your LinkedIn contacts' companies for matching job openings
npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill network-scan --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Network Scan Skill > **Priority hierarchy**: See `references/priority-hierarchy.md` for conflict resolution. Proactively check whether companies where you know someone are hiring for roles that match you. First run builds a cache of company careers page URLs. Subsequent runs reuse the cache, making weekly checks fast. ## File Structure ``` scripts/ resolve-careers.md # Subagent for resolving a batch of company careers URLs evaluate-company.md # Subagent for scanning a batch of companies' open roles ``` User data (stored at ~/.proficiently/): ``` ~/.proficiently/ resume/ # Your resume PDF/DOCX preferences.md # Job matching rules profile.md # Work history from interview linkedin-contacts.csv # LinkedIn contacts export company-careers.json # Cached company careers URLs network-scan-history.md # Running log of scan results jobs/ # Per-job application folders ``` --- ## Workflow ### Step 0: Check Prerequisites Resolve the data directory, then check prerequisites per `references/prerequisites.md`. Resume, preferences, and linkedin-contacts.csv are all required. Load these files for use in later steps: - `DATA_DIR/preferences.md` (target roles, must-haves, dealbreakers, nice-to-haves) -
- File Structure
- Workflow
- Step 0: Check Prerequisites
- Step 1: Select Contacts & Extract Companies
- Step 2: Resolve Careers Pages (Parallelized)
- Step 3: Scan for Matching Jobs (Parallelized)
- Step 4: Save Results
- Step 5: Present Results
- Step 6: Learn from Feedback
- Response Format
What does the network-scan skill do?
Scan your LinkedIn contacts' companies for matching job openings
How do I install it?
Run `npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill network-scan --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 Infrasity-Labs/dev-gtm-claude-skills, a repository with 97 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.