Repository
PINA-org/PINA agent skills
- skills
- 10
- GitHub stars
- 797
GitHub description: “Physics-Informed Neural networks for Advanced modeling”
- Stars
- 797 (113 forks)
- Licence
- MIT
- Last push
- Oct 2026
- Created
- Nov 2021
- Homepage
- pina-org.github.io/PINA
- Source
- github.com/PINA-org/PINA
- physics-informed-neural-networks
- modeling
- machine-learning
- deep-learning
- python
- pytorch
- differential-equations
- ode
- pde
- physics-informed
- hacktoberfest
- lightining
- pinn
- equation-learning
- neural-networks
- neural-operators
Install all skills
npx skills add PINA-org/PINAAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in PINA-org/PINA, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Create, modify, and improve PINA skills. An agent skill from PINA-org/PINA. | PINA-org/ | 797 | — | ~1.8k | Automated safety check: Pass | MIT | yesterday |
| 2 | Orchestrates a complete session from problem definition through trained solver. | PINA-org/ | 797 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 3 | Guides users through selecting, configuring, or creating a PyTorch model for a PINA problem. | PINA-org/ | 797 | — | ~2.4k | Automated safety check: Pass | MIT | yesterday |
| 4 | Guides users through selecting the right PINA solver for their problem, or creating a custom solver when no built-in fits. | PINA-org/ | 797 | — | ~2.9k | Automated safety check: Pass | MIT | yesterday |
| 5 | Guides users through configuring the PINA Trainer for solver training, including batching strategy, data splitting, and Lightning options. | PINA-org/ | 797 | — | ~1.3k | Automated safety check: Pass | MIT | yesterday |
| 6 | Audits SKILL.md files in this repo's skills directory for references to functions, classes, or modules (mentioned by name in prose, e.g. | PINA-org/ | 797 | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 7 | Set up conditions for PINA problems. An agent skill from PINA-org/PINA. | PINA-org/ | 797 | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 8 | Entry point for creating PINA problems. An agent skill from PINA-org/PINA. | PINA-org/ | 797 | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 9 | Create and manipulate domains for PINA physics-driven problems. | PINA-org/ | 797 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 10 | Define PDEs, ODEs, boundary conditions, and custom equations for PINA physics-driven problems. | PINA-org/ | 797 | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
Questions, answered from the data.
What is the best skill in PINA-org/PINA?
Create Skill from PINA-org/PINA ranks first of the 10 skills in PINA-org/PINA listed here, with the highest score: its repository has 797 GitHub stars, its SKILL.md loads about 1.8k tokens and it passes the automated safety check with no findings. Next come Pina Workflow and Select Model.
Are the skills in PINA-org/PINA official?
None yet. All 10 skills in PINA-org/PINA 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 PINA-org/PINA?
Run npx skills add PINA-org/PINA 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.