Explorez les skills IA publiés de alfredolopez80 et consultez leurs instructions source.
Skills indexés
11Étoiles des dépôts des skills indexés
814Forks du dépôt
154Moyenne des étoiles par skill indexé
74Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Classify task complexity (1-10) to route to optimal model. Use when starting any non-trivial task to determine resources and approach. Triggers include: 'classify', 'complexity', 'what model', 'how complex'.
Manually trigger context save when auto-compact fails in VSCode/Cursor extensions. Use when context is high and you need to preserve state before starting fresh.
Manage git worktrees with PR workflow and multi-agent review (Claude + Codex). Use when developing features in isolation with easy rollback.
OpenAI Codex CLI orchestration for AI-assisted development using gpt-5.2-codex model. Capabilities: code generation, refactoring, automated editing, parallel task execution, session management, code review, arc...
Patterns for using Context7 MCP for library documentation (v2.25)
Optimal patterns for MiniMax MCP tools (web_search + understand_image)
YAML-based skills system for lightweight skill management (H70-inspired, +36.7pts improvement)
Smart Forking - Find and fork from relevant historical sessions using parallel memory search across claude-mem, memvid, handoffs, and ledgers
Access OpenAI developer documentation via Context7 MCP. Provides up-to-date docs for Codex CLI, OpenAI API, Python/Node SDKs, Agents SDK, and MCP configuration. Use when: (1) configuring Codex CLI or MCP server...
Visualize task dependencies and progress (Gastown-style)
Full orchestration workflow with Smart Memory-Driven context (v2.47), RLM-inspired routing (v2.46), and quality gates: clarify, smart memory search, classify 3D, plan, delegate, execute with parallel memory, va...
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.