Repository
DASDAE/dascore agent skills
- skills
- 2
- GitHub stars
- 167
GitHub description: “A python library for distributed fiber optic sensing”
- Stars
- 167 (44 forks)
- Licence
- Unknown
- Last push
- Oct 2026
- Created
- Oct 2021
- distributed-acoustic-sensing
- geophysics
- python
- seismology
Install all skills
npx skills add DASDAE/dascoreAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in DASDAE/dascore, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Draft the next release version and changelog by fetching tags, computing the next semantic v tag, collecting merged PRs into master since last release via gh, and printing the proposed version and… | DASDAE/ | 167 | — | ~1.1k | Automated safety check: Pass | Unknown | today |
| 2 | Instructions for working on a task in this repo. An agent skill from DASDAE/dascore. | DASDAE/ | 167 | — | ~590 | Automated safety check: Pass | Unknown | today |
Questions, answered from the data.
What is the best skill in DASDAE/dascore?
Draft Release from DASDAE/dascore ranks first of the 2 skills in DASDAE/dascore listed here, with the highest score: its repository has 167 GitHub stars, its SKILL.md loads about 1.1k tokens and it passes the automated safety check with no findings. Next come Start Task.
Are the skills in DASDAE/dascore official?
None yet. All 2 skills in DASDAE/dascore 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 DASDAE/dascore?
Run npx skills add DASDAE/dascore 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.