# lijigang/ljg-skills

Repository: https://github.com/lijigang/ljg-skills
Canonical: https://ross.abutalabs.com/products/ljg-skills
Language: TypeScript
License: MIT
License Family: permissive
Last push: 2026-08-26T02:55:57+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 12
- inputs: {"age_days": 178, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7196, forks 814 (observed 2026-08-28T04:09:56.559709+00:00)

## What it is
A curated collection of custom skills (prompt packs) for OpenAI Codex and compatible AI agents, installable via the skills CLI in org-mode or Markdown formats. Each skill implements a distinct reasoning, learning, or writing workflow such as concept dissection, paper reading, blind-spot scanning, and content card generation.

## Use cases
- install custom skills into codex agent
- generate long-image content cards from text with playwright
- deep-read academic papers with structured questioning
- simplify any text so a twelve-year-old can understand it
- analyze relationships or investment projects with guided frameworks
- create q-a chains from articles and books for study
- run a simulated roundtable discussion between historical figures

## When to choose
- you use Codex or an agent supporting the skills CLI and want ready-made thinking/learning workflows
- you want Chinese-language writing, reading, and teaching prompt packs
- you prefer org-mode or Markdown skill formats for Obsidian/VSCode/Notion

## When to avoid
- you need a standalone application or library rather than agent prompt skills
- your agent does not support the skills CLI or ~/.agents/skills directory
- you need English-only tooling since most skills are Chinese-oriented

## Facets
- artifact type: plugin
- maturity: active
- function: prompt-engineering, agent-framework, nlp, chatbot
- domain: artificial-intelligence, large-language-models, education, developer-tools
- platform: cli, cross-platform
- tags: codex-skills, agent-skills, prompt-collection, org-mode, obsidian, learning-techniques, chinese-content, playwright, bun, ai-agents, natural-language-processing, nodejs

## Member repositories
- lijigang/ljg-skills (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:56.559709+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:39:52.809911+00:00, confidence not recorded.
  - readme: https://github.com/lijigang/ljg-skills (fetched 2026-08-28T04:09:56.559709+00:00, sha 6e71ffda6f39)
- Data as of 2026-08-30T08:39:29.467469+00:00.
