omer-metin/skills-for-antigravity
Patterns for multi-sensor data fusion including Kalman filters (KF, EKF, UKF), complementary filters, particle filters, and factor graph optimization.
npx skills add omer-metin/skills-for-antigravity --skill sensor-fusion
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
Access research-grade sensor data using SensorKit for approved studies.
2.6K installsAggregate and analyze IoT sensor data from construction sites. Collect data from multiple senso…
102 installsOther skills from omer-metin/skills-for-antigravity · top by installs.
npx skills add omer-metin/skills-for-antigravity
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Alternate registries and mirrors of this skill.
npx skills add https://github.com/alphaonedev/openclaw-graph
main
Parsed from SKILL.md frontmatter.
Files included with this skill beyond the listing page.
SKILL.md
1,193 B
SUMMARY.md
325 B
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.