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aviation-drone-ops-implementation

Use when applying drone operations implementation.

Quellinformationen

Repository
LoopyLuci/Skills
Letzte Quellaktivität
24. September 2026 um 22:04
Erkannte Sprache von SKILL.md
Englisch
Sterne
1
Forks
1

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
aviation-drone-ops-implementation
description
Use when applying drone operations implementation.
version
1.0.0
author
LoopyLuci Community
license
MIT
platforms
["any"]
metadata
{"hermes":{"tags":["aviation","drone","uas"]}}
# Aviation Drone Ops Implementation "Use when applying drone operations implementation." ## Trigger Activate this skill when the user mentions: - aviation, drone, uas workflows or issues - Building, fixing, or optimizing aviation drone ops implementation - Questions about aviation best practices ## Core Concepts - Language-specific idioms and best practices - Package/module organization - Error handling and logging patterns - Testing methodology (unit, integration, e2e) - Build, lint, and format tooling ## Step-by-Step Workflow 1. **Setup** — Initialize project, install dependencies, configure tooling - Expected: Working dev environment 2. **Implement** — Write core logic following idiomatic patterns - Expected: Functional code with passing tests 3. **Test** — Write and run tests covering happy path and edge cases - Expected: All tests pass, >80% coverage 4. **Review** — Self-review for code quality, performance, security - Expected: Clean, documented production-ready code 5. **Deliver** — Commit, document, and verify end-to-end - Expected: Working feature with tests and docs ## Tools & Technologies - Language-specific package manager - Test framework - Linter/Formatter - Build system - Debugging tools ## Best Practices - Document decisions and rationale (ADRs, design docs, runbooks) - Version everything - code, configs, data, and documentation - Test incrementally; never claim passing without verification - Respect domain-specific regulations and ethical standards - Measure outcomes with meaningful metrics ## Common Pitfalls - **Skipping error handling** → Silent failures → Always handle errors explicitly - **Over-engineering** → Unnecessary complexity → Add abstraction only when needed - **Missing tests** → Regression bugs → Write tests alongside code ## Tags `aviation, drone, uas` --- *LoopyLuci/Skills - 2026-09-24*
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