Reproduce LinkedIn Issue

Reproduce LinkedIn Issue is a Quality skill for Claude Code, published by stickerdaniel in linkedin-mcp-server.

3.1K stars543 forkson stickerdaniel/linkedin-mcp-serverAdded 2026/08/17+1% in starsRepository updated 2026/08/15

ai-agentsanthropicchatgptchatgpt-desktopclaudeclaude-aiclaude-codeclaude-desktopdesktop-extensiondxtlinkedinlinkedin-apilinkedin-mcplinkedin-profile-scraperlinkedin-scrapermcpmcp-servermodel-context-protocolpython

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Install Reproduce LinkedIn Issue

Copy Reproduce LinkedIn Issue into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/stickerdaniel/linkedin-mcp-server/tree/main/.agents/skills/2-repro-issue ~/.claude/skills/2-repro-issue

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/stickerdaniel/linkedin-mcp-server.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .agents/skills/2-repro-issue/SKILL.md in stickerdaniel/linkedin-mcp-server
Installs to: ~/.claude/skills/2-repro-issue
Collection: One of 5 skills cataloged from this repository
Category: Quality — 1354 skills

What Reproduce LinkedIn Issue does

Reproduce LinkedIn Issue runs the failing MCP tool call against the real authenticated LinkedIn session on the current branch and captures concrete evidence — output JSON, error message, partial state — then maps it back to the scraper code path. Use when asked to reproduce, investigate, or verify an issue number locally.

Reproduce LinkedIn Issue is cataloged under Quality on DirSkills. Reproduce LinkedIn Issue comes from a repository tagged ai-agents, anthropic, chatgpt, chatgpt-desktop and claude.

Documentation

README

Excerpt

Reproduce a LinkedIn-MCP Issue Locally

Goal: take an issue number, run the exact failing tool call against the real LinkedIn via the local MCP server, and produce concrete evidence — output JSON, error message, partial state — that confirms or refutes the bug on the current branch. Always use the authenticated profile already at ~/.linkedin-mcp/profile/. Never mock.

Phase 1 — Read and map

# Accept "442", "#442", or "https://github.com/.../issues/442" — extract the digits only
NUM=$(echo "$ARGUMENTS" | sed -E 's|.*/||; s|#||g' | grep -oE '^[0-9]+' | head -1)
[ -z "$NUM" ] && { echo "Invalid input: '$ARGUMENTS'. Pass an issue number or URL." >&2; exit 1; }
REPO=stickerdaniel/linkedin-mcp-server

gh issue view $NUM --repo $REPO --comments

From the issue body extract:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Reproduce LinkedIn Issue

What else does stickerdaniel publish alongside Reproduce LinkedIn Issue?
Reproduce LinkedIn Issue is one of 5 skills that DirSkills catalogs from stickerdaniel/linkedin-mcp-server, the repository it ships in. Its siblings there include BTCA Local, Triage Issues and PRs and Triage PR Reviews. Each one is a separate skill with its own page in this directory, installs the same way Reproduce LinkedIn Issue does, and is maintained by stickerdaniel in that same repository. The rest of the collection is listed on the stickerdaniel/linkedin-mcp-server page.
How does Reproduce LinkedIn Issue compare to other Quality skills?
Reproduce LinkedIn Issue ranks #414 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Reproduce LinkedIn Issue against them. Open each page to compare what they document and how they install.