Repository
langgenius/dify agent skills
- skills
- 6
- GitHub stars
- 158k
GitHub description: “Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.”
- Stars
- 157,975 (24,928 forks)
- Licence
- Unknown
- Last push
- Oct 2026
- Created
- Apr 2023
- Homepage
- dify.ai
- ai
- gpt
- llm
- openai
- python
- agent
- nextjs
- workflow
- genai
- automation
- low-code
- mcp
- no-code
- agentic-ai
- agentic-framework
- agentic-workflow
Install all skills
npx skills add langgenius/difyAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in langgenius/dify, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Reviews backend code under api/ for concrete, reproducible defects, routes to rule packs for architecture, schema, repositories and SQLAlchemy, and ranks findings from P0 to P3. | langgenius/ | 158k | — | ~676 | Automated safety check: Pass | Unknown | today |
| 2 | Guides changes and reviews of the Cucumber and Playwright end-to-end suite under `e2e/`: feature files, step definitions, support code, tags, locators and assertions. | langgenius/ | 158k | — | ~682 | Automated safety check: Pass | Unknown | today |
| 3 | Reviews frontend changes under `web/` or `packages/dify-ui/` for concrete defects and broken project contracts, using routed rule packs and a severity scale for findings. | langgenius/ | 158k | — | ~938 | Automated safety check: Pass | Unknown | today |
| 4 | Use when implementing or refactoring React/TypeScript components and the task requires decisions about component ownership, feature boundaries… | langgenius/ | 158k | — | ~626 | Automated safety check: Pass | Unknown | today |
| 5 | Base skill for the difyctl CLI: discover a Dify server's operations through help output and run them as commands, always with JSON output. | langgenius/ | 158k | — | ~1.4k | Automated safety check: Pass | Unknown | today |
| 6 | Use when writing or changing Vitest or React Testing Library tests under `web/` or `packages/dify-ui/`, or when the user explicitly requests… | langgenius/ | 158k | — | ~242 | Automated safety check: Pass | Unknown | today |
Questions, answered from the data.
What is the best skill in langgenius/dify?
Backend Code Review from langgenius/dify ranks first of the 6 skills in langgenius/dify listed here, with the highest score: its repository has 158k GitHub stars, its SKILL.md loads about 676 tokens and it passes the automated safety check with no findings. Next come Cucumber and Playwright E2E Tests and Frontend Code Review.
Are the skills in langgenius/dify official?
None yet. All 6 skills in langgenius/dify listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from langgenius/dify?
Run npx skills add langgenius/dify in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.