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LJG Skills - Setup Guide

Source: lijigang/ljg-skills (124.5K installs across 30 skills) GitHub: lijigang/ljg-skills (7.2K stars) Skills: 30 skills; top skills: ljg-card (6.7K), ljg-paper (6.6K), ljg-roundtable (6.5K) Category: Productivity / Personal Knowledge Management First Seen: skills.sh Mar 9, 2026; catalogued in the Aug 31, 2026 sweep Quality Tier: 🟡 Trusted - publisher authority (Li Jigang, veteran Chinese tech blogger) with Gen Agent Trust Hub and Socket Pass, but Snyk carries a warning on the top skill (see Security Audit Status)

Li Jigang - a long-time Chinese tech blogger and community moderator - publishes a 30-skill personal knowledge-work suite. The skills encode his own working methods: ljg-card turns content into PNG share cards (long-form narrative, full-text layout, comic panels, and whiteboard argument modes via -l, -f, -c, -w flags), ljg-paper and ljg-paper-flow structure academic paper reading, ljg-writes and ljg-word-flow cover writing workflows, ljg-learn handles deliberate learning, ljg-think structures thinking, and ljg-invest supports investment research.

The suite is distinctive for its tightly parameterized interfaces: ljg-card declares its four modes as a parameter table with dimensions, image roles, and required read order - an unusually precise skill design. The skills are consistent bestsellers on skills.sh (top skills all 6-7K installs).


Installation

npx skills add lijigang/ljg-skills

Or per-skill:

npx skills add https://github.com/lijigang/ljg-skills --skill ljg-card

Prerequisites

Requirement Details
Node.js Recent LTS for the npx skills installer
Language handling SKILL.md content is Chinese; agents must process the original-language instruction text (see Limitations)

Core Skills

Skill Installs Use For
ljg-card 6.7K Content-to-PNG share cards: -l long narrative, -f full text, -c comic panels, -w whiteboard argument
ljg-paper 6.6K Academic paper reading and note-taking
ljg-roundtable 6.5K Multi-perspective discussion and debate structure
ljg-writes 6.3K Writing workflows
ljg-plain 6.2K Plain-text and minimal-format discipline
ljg-learn 6.2K Deliberate learning workflows
ljg-invest 6.1K Investment research structure
ljg-rank 6.1K Ranking and prioritization methods
ljg-travel 6.1K Travel planning workflows
ljg-word 6.0K Vocabulary and word-level craft

Plus ljg-relationship, ljg-think, ljg-read, ljg-paper-flow, ljg-skill-map, ljg-paper-river, ljg-word-flow, ljg-present, ljg-qa, ljg-push, ljg-book, ljg-library, ljg-map, ljg-constraint, ljg-blind, ljg-x-download, ljg-structure, ljg-is, ljg-classic, ljg-teach.

Security Audit Status (skills.sh, verified Aug 31, 2026)

Skill Gen Agent Trust Hub Socket Snyk
ljg-card Pass Pass Warn

Gen Agent Trust Hub and Socket Pass; Snyk carries a warning - the reason this suite ships 🟡 Trusted rather than 🟢 Production.

CorpusIQ Use Cases

Use Case How
Share-card generation ljg-card's parameterized card modes are a reference pattern for visual content produced from text
Research synthesis ljg-paper + ljg-paper-flow structure reading pipelines for research sweeps
Skill design reference The ljg-card parameter table (modes, dimensions, image roles, read order) is a model for writing precise, parameterized skills
Writing workflows ljg-writes and ljg-word-flow complement CorpusIQ content production

Integration with CorpusIQ

CorpusIQ is the connector layer that lets AI assistants read the systems a business already runs on - accounting, payments, CRM, email, files and analytics - and answer with the source named. It is read-only by design: it retrieves data and never writes to, or acts in, a connected system, which is what makes it safe to point at live accounts.

This page is part of the CorpusIQ directory, the reference we maintain for the MCP server and agent-skill ecosystem. Run alongside CorpusIQ, a third-party server like this one can be combined with a company's own business data in a single answer.

See what CorpusIQ connects

Limitations / Verification

  • Source language is Chinese. The SKILL.md files ship in the original Chinese and are not translated; agents must handle the original-language instruction text, and downstream English output requires translation discipline. Named per the non-English-suite precedent (wecomteam, genshijin).
  • The suite is one author's personal method collection; it is opinionated by design.
  • Snyk warning is named in the tier above.

Verification after install:

npx skills add lijigang/ljg-skills --list    # 30 skills discovered

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