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Repositório GitHub

fpvpidlab

fpvpidlab contém 6 skills coletadas de eddycek, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.

skills coletadas
6
Stars
4
atualizado
2026-07-06
Forks
2
Cobertura ocupacional
3 categorias ocupacionais · 100% classificado
explorador de repositórios

Skills neste repositório

tuning-advisor
Desenvolvedores de software

PID tuning expert agent for FPV drone analysis. Consult on tuning sessions, validate recommendations, review flight data, audit analysis code changes. Invoke when working with PID/filter tuning, analysis modules, or flight data.

2026-07-06
doc-sync
Desenvolvedores de software

Audit and fix documentation accuracy after code changes. Verifies README decision tables, feature descriptions, test counts, endpoint routes, infrastructure docs, cross-file links, and all MD files against the actual codebase. Run before every PR merge.

2026-04-01
rate-advisor
Desenvolvedores de software

Evaluates FPV drone rate profiles against community benchmarks and flight style requirements. Analyzes RC Rate, Rate (srate), and Expo for ACTUAL, BETAFLIGHT, and QUICK rate types. Provides recommendations based on flight style (freestyle, race, cinematic, whoop).

2026-03-31
e2e-tuning-test
Analistas de garantia de qualidade de software e testadores

Automated E2E testing of the complete tuning workflow via the debug server. Walks through Filter Tune and PID Tune workflows using pre-downloaded BBL logs, takes screenshots at each step, performs deep UX and quality audit.

2026-03-29
diagnose
Desenvolvedores de software

Investigates user-submitted diagnostic reports. Downloads the report bundle, cross-references recommendations against analysis code and constants, identifies root cause, and proposes fix + user reply. Use when reviewing a diagnostic report from a user who reported bad tuning results.

2026-03-29
telemetry-evaluator
Cientistas de dados

Evaluates FPVPIDlab telemetry data against target KPIs. Analyzes rule effectiveness, verification success rates, metric distributions, and quality score convergence. Use to assess whether the app is actually improving users' flights.

2026-03-19