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vasu-devs
Profil créateur GitHub

vasu-devs

Vue par dépôt de 17 skills collectés dans 2 dépôts GitHub.

skills collectés
17
dépôts
2
mis à jour
2026-06-07
explorateur de dépôts

Dépôts et skills représentatifs

graph
Développeurs de logiciels

Query forge's live, always-fresh code map — a dependency graph of the repo with god-nodes, modules, and neighbors/impact (blast-radius) queries. Use before editing to know what depends on a file, to find the most-depended-on hotspots, to map an unfamiliar codebase's architecture, or whenever you need current structural context instead of guessing.

2026-06-07
understand
Développeurs de logiciels

Build an accurate mental map of unfamiliar code before changing it. Use when starting work in a codebase or area you don't know well, before editing code whose ripple effects you can't predict, or when the user asks how something works or where something lives.

2026-06-06
architect
Développeurs de logiciels

Design the shape of a non-trivial module, API, or system before implementing it. Use when a design decision has more than one reasonable answer, when introducing a new abstraction or interface, or when getting the shape wrong would be expensive to undo.

2026-06-06
brainstorm
Spécialistes en gestion de projets

Turn a vague idea into an approved, written spec before any code is written. Use before building a feature, adding functionality, or changing behavior — whenever the work is more than a trivial mechanical edit and the requirements aren't already pinned down.

2026-06-06
debug
Développeurs de logiciels

Find the root cause of a bug, test failure, or performance regression before proposing any fix. Use the moment something is broken, throwing, failing, flaky, or slower than expected — and resist the urge to patch first.

2026-06-06
design-ui
Développeurs de logiciels

Build or redesign frontend UI that doesn't look templated or AI-generated. Use when creating components, pages, landing pages, or restyling existing UI — before writing CSS/markup, and before shipping any visual work.

2026-06-06
eval
Analystes en assurance qualité des logiciels et testeurs

Measure non-deterministic behavior — LLM features, agents, prompts, or a skill itself — with repeatable evals instead of one-shot checks. Use when building or tuning AI/LLM functionality (ranking, extraction, generation, agent loops), when a feature could pass once by luck, or when validating that a prompt or skill actually changes behavior.

2026-06-06
learn
Développeurs de logiciels

Distill durable "instincts" (trigger → action patterns) from this session into project-scoped memory that auto-loads at the start of future sessions in this repo. Use when the user asks you to learn or remember a workflow pattern, after solving something non-obvious worth not re-deriving, at the end of a productive session, or when invoked directly.

2026-06-06
Affichage des 8 principaux skills collectés sur 16 dans ce dépôt.
2 dépôts affichés sur 2
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