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contrario
Profil créateur GitHub

contrario

Vue par dépôt de 20 skills collectés dans 2 dépôts GitHub.

skills collectés
20
dépôts
2
mis à jour
2026-05-16
explorateur de dépôts

Dépôts et skills représentatifs

aetherlang
Scientifiques des données

Execute AI workflow orchestration flows using the AetherLang Ω DSL. Run multi-step AI pipelines for recipes, business strategy, market analysis, molecular gastronomy, and more.

2026-03-19
apex-crypto-intelligence
Spécialistes du risque financier

AI-powered multi-exchange crypto market analysis, arbitrage detection, and hedge fund-quality trading reports using live data from major exchanges.

2026-03-10
aetherlang-chef
Chefs et cuisiniers en chef

Michelin-level recipes and culinary analysis in Greek, covering 17 sections from ingredients to plating and molecular gastronomy.

2026-03-10
aetherlang-chef
Chefs et cuisiniers en chef

Michelin-grade AI culinary intelligence. 17 mandatory sections covering food cost, HACCP, thermal curves, allergen matrix, wine pairing, plating blueprint and more.

2026-03-10
aetherlang-strategy
Analystes en études de marché et spécialistes en marketing

Nobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps.

2026-03-10
aetherlang-karpathy-skill
Développeurs de logiciels

API connector for AetherLang Omega — execute 10 Karpathy-inspired agent node types (plan, code_interpreter, critique, router, ensemble, memory, tool, loop, transform, parallel) via the hosted AetherLang API at api.neurodoc.app. This skill sends your query and flow code to the API and returns results. No local code execution. No runtime modification. No credentials required.

2026-03-10
architect
Développeurs de logiciels

Transforms your OpenClaw agent from a reactive question-answerer into a proactive autonomous executor. ARCHITECT takes any high-level goal, decomposes it into a dependency-aware task graph, executes each step with validation, self-corrects on failure, and delivers results — all without hand-holding. The missing execution layer for personal AI agents. Zero dependencies. Zero config. Works with any model. Pairs with apex-agent and agent-memoria for the complete autonomous agent stack.

2026-03-10
memoria
Développeurs de logiciels

Gives your OpenClaw agent persistent memory across every session. MEMORIA maintains a structured knowledge layer: who you are, what you're building, every decision made, every lesson learned, every project in flight. Your agent stops being a stranger and starts being a colleague who was there for everything. Zero cloud. Zero API keys. All memory lives in a single local markdown file you own and control forever.

2026-03-09
Affichage des 8 principaux skills collectés sur 14 dans ce dépôt.
2 dépôts affichés sur 2
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