Claude Skills Linkedin

Connect your AI Agent to B2B Channels. Powered by LinkupAPI — a unified API that lets agents act on the channels where B2B revenue actually happens. Today: full LinkedIn coverage (outbound, engagement, content, recruiter, enrichment, webhooks). More channels are landing on the same action-based interface.

This repo is a bundle of Claude skills for LinkedIn: 4 ready-to-run, auditable Claude Code workflows that turn LinkupAPI's capabilities into safe, rate-limit-aware automation. The fastest way to put an AI agent on a real LinkedIn account without writing glue code.

Keywords: claude skills for linkedin · claude code linkedin · linkedin automation claude · claude agent linkedin · linkupapi mcp · linkedin outreach AI agent.

Skills

linkedin-outreach/ — Full B2B outreach campaign

Define an ICP, find target companies, extract decision makers (CEO/CTO/Founder), filter false positives, send connection requests, optionally arm a webhook for accept-triggered messages. 8-stage flow with intent-first ICP discovery (sell / recruit / network), draft ICP proposal, batched-form filter editing, multi-account selection with dedup-and-round-robin, and mandatory campaign log persistence.

linkedin-high-intent/ — High-intent leads from a post

Given a LinkedIn post URL, scrape commenters and reactors, filter on visible signal (no enrichment), enrich the matches, score against the ICP, and launch a targeted outreach campaign on confirmed matches. The "saw your comment on…" note boosts accept rate substantially over cold.

linkedin-feed-engage/ — Auto-comment on ICP feed

Scroll the feed, identify posts authored by ICP-matching profiles, generate value-adding 2-3 sentence comments (auto, templated, or HITL-approved), and post them with strict pacing (30-60s between, max 15/day). Used as a warm-up before outreach: prospect sees your name on their post, then receives an invite.

linkedin-enrich/ — Bulk URL enrichment

Given N LinkedIn profile URLs, return enriched data: current role, company, location, experience, skills, plus professional email when findable. Output as inline markdown table, CSV, or JSON. De-dups against ./enrichments/ from the last 30 days so you never re-pay for the same lookup.

Daily safety caps (shared across all 4 skills)

Each skill is rate-limit-aware and respects these per-account daily caps before any tool call:

Cap	Limit / day	Tool action it gates
Connection requests	20	linkedin_network/invite
Profile gets	100	linkedin_profiles/get
Searches	15	linkedin_profiles/search_*
Comments (feed-engage only)	15	linkedin_content/comment

The cap is shared across all 4 skills — hitting it from any one carries over. Each skill queries linkupapi_get_logs at Stage 0 to compute remaining budget, then trims the campaign size or stops gracefully if the budget is exhausted. Same-day duplicate work is deduped via ./campaigns/*.md and ./enrichments/*.md logs.

Installation

Claude Code (CLI / IDE)

git clone https://github.com/claude-dev-code/claude-skills-linkedin /tmp/claude-skills-linkedin
cp -R /tmp/claude-skills-linkedin/linkedin-* ~/.claude/skills/

Restart Claude Code. The skills are auto-discovered and triggered by natural-language prompts: "outreach campaign", "enrich these profiles", "comment on my feed", "find leads from this post URL", etc.

Claude Desktop / Claude.ai (web)

Each skill is also published as a .zip artifact on the latest GitHub release. To install:

1. Download the zip(s) you want — one per skill: linkedin-outreach.zip, linkedin-high-intent.zip, linkedin-feed-engage.zip, linkedin-enrich.zip.
2. In Claude Desktop or claude.ai, go to Settings → Skills → Upload skill and drop the zip.
3. The skill becomes available across all your projects/conversations.

The MCP setup is the same on all three surfaces — see below.

Connect the LinkupAPI MCP server

All 4 skills require the LinkupAPI MCP server with at least one channel account in connected status. The auth is OAuth — no API key in headers, no token to manage.

Claude Code:

claude mcp add --transport http linkupapi https://mcp.linkupapi.com/mcp

Then run /mcp and follow the redirect to consent.

Claude Desktop / Claude.ai: Settings → Connectors → Add custom connector → URL = https://mcp.linkupapi.com/mcp. Click Connect, approve on the LinkupAPI consent page.

If you don't have a LinkupAPI account yet, the consent page will let you sign up before approving.

Cross-skill data flow

Each skill writes to a shared local directory inside the project where Claude Code runs:

• ./campaigns/{date}-{slug}.md — outreach + high-intent + feed-engage campaign logs
• ./enrichments/{date}-{slug}.md — enrichment logs (and the CSV/JSON outputs alongside)

Subsequent runs of any skill dedupe against these logs, so a profile is never invited, commented on, or enriched twice unnecessarily. The logs are the source of truth for accept-rate analysis 7-14 days after a campaign.

Beyond LinkedIn

LinkupAPI is built around an action-based, multi-channel interface — the same {action, params} shape that powers linkedin_profiles / linkedin_network / linkedin_content will extend to other B2B channels as they land. The skills in this repo are LinkedIn-shaped today; the LinkupAPI surface itself is broader.

License

Private use only (for now).