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scooter-lacroix AI Skills

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Explorez les skills IA publiés de scooter-lacroix et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

18

Étoiles des dépôts des skills indexés

0

Forks du dépôt

0

Moyenne des étoiles par skill indexé

0

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

18 skills

Explorer

GitHub

help

scooter-lacroix

Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available

GitHub

maestro

scooter-lacroix

Spec-driven development framework that integrates with OpenCode to provide structured project planning, track management, and implementation workflow. Use when you need to: (1) Initialize a new Maestro project...

GitHub

fix

scooter-lacroix

Meta-skill workflow orchestrator for bug investigation and resolution. Routes to debug, implement, test, and commit based on scope.

GitHub

math

scooter-lacroix

Unified math capabilities - computation, solving, and explanation. I route to the right tool.

GitHub

maestro

scooter-lacroix

Maestro spec-driven development for Claude Code. Use this skill when running /maestro* commands (setup, newTrack, implement, orchestrate, status, revert, leindex, tui) so workflows stay aligned with LeIndex and...

GitHub

test

scooter-lacroix

Comprehensive testing workflow - unit tests ∥ integration tests → E2E tests

GitHub

tdd

scooter-lacroix

Test-driven development workflow with philosophy guide - plan → write tests → implement → validate

GitHub

release

scooter-lacroix

Release preparation workflow - security audit → E2E tests → review → changelog → docs

GitHub

leindex-code

scooter-lacroix

Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 82% savings (balanced mode) with semantic completeness.

GitHub

explore

scooter-lacroix

Meta-skill for internal codebase exploration at varying depths (quick/deep/architecture)

GitHub

debug-hooks

scooter-lacroix

Systematic hook debugging workflow. Use when hooks aren't firing, producing wrong output, or behaving unexpectedly.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.