Repository
joselado/pyqula agent skills
- skills
- 6
- GitHub stars
- 145
GitHub description: “Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.”
- Stars
- 145 (42 forks)
- Licence
- GPL-3.0
- Last push
- Oct 2026
- Created
- Jul 2021
- tight-binding
- topology
- interactions
- mean-field-theory
- electronic-structure
- magnetism
- superconductivity
- fermi-surface
- non-collinear-magnetism
- density-of-states
- spectral-functions
- topological-insulator
- symmetry-breaking
- quantum-transport
- spin-textures
- moire-pattern
Install all skills
npx skills add joselado/pyqulaAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in joselado/pyqula, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Refresh pyqula's documentation after a change - recount the test suite, propagate every number that moved, re-run the static user-guide checks, and rebuild documentation/userguide.pdf. | joselado/ | 145 | — | ~816 | Automated safety check: Pass | GPL-3.0 | 2 days ago |
| 2 | How pyqula raises errors -- which exception type for which failure, the registries behind string-selected options (mode=, solver=, channel=, operator names), and the shared Hilbert-space guards in… | joselado/ | 145 | — | ~1.1k | Automated safety check: Pass | GPL-3.0 | 2 days ago |
| 3 | The completeness checklist for adding a user-facing feature to pyqula - where the implementation goes, what kind of test it needs, and the five documentation surfaces that must move with it. | joselado/ | 145 | — | ~1.4k | Automated safety check: Pass | GPL-3.0 | 2 days ago |
| 4 | pyqula's CPU/GPU switch (src/pyqula/gpu.py), how a routine is routed onto the device, per-call precision, and the tiered porting plan in documentation/gpuportingplan.md. | joselado/ | 145 | — | ~679 | Automated safety check: Pass | GPL-3.0 | 2 days ago |
| 5 | The maintainer's writing voice for documentation/userguide.md -- the three registers (chapter prose, section intros, catalogue bullets), the spelling decisions, what not to write, and which chapters… | joselado/ | 145 | — | ~985 | Automated safety check: Pass | GPL-3.0 | 2 days ago |
| 6 | pyqula's Wannierization (wanniertk/), what h.getwannierhamiltonian() returns, the disentanglement window keywords and which combinations raise NotImplementedError, and the bundled pure-Python… | joselado/ | 145 | — | ~1.2k | Automated safety check: Pass | GPL-3.0 | 2 days ago |
Questions, answered from the data.
What is the best skill in joselado/pyqula?
Refresh Docs from joselado/pyqula ranks first of the 6 skills in joselado/pyqula listed here, with the highest score: its repository has 145 GitHub stars, its SKILL.md loads about 816 tokens and it passes the automated safety check with no findings. Next come Error Conventions and New Feature.
Are the skills in joselado/pyqula official?
None yet. All 6 skills in joselado/pyqula 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 joselado/pyqula?
Run npx skills add joselado/pyqula 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.