project-memory
Retrieve relevant context from past sessions before starting implementation. Use when beginning work on a task, when the user describes what to build, when about to write significant code, or when stuck on a pr...
Découvrez les skills testing security llm ai, comparez leurs dépôts et consultez leurs instructions.
Retrieve relevant context from past sessions before starting implementation. Use when beginning work on a task, when the user describes what to build, when about to write significant code, or when stuck on a pr...
New agent startup checklist for Agent Mail and Beads. Use when starting a new agent session, when the user says "prime" or "startup", or when beginning work on a multi-agent project.
Search past AI sessions with CASS. Use when looking for past solutions, searching session history, finding how something was done before, or when the user mentions "cass", "history", or "past sessions".
Cross-agent learning with cm (cass-memory). Use before starting non-trivial tasks, when looking for patterns from past work, when the user mentions "cm", "memory", "learned rules", or "what do we know about".
Debug and analyze {{PROJECT_NAME}} LangGraph agent traces. Use when investigating agent behavior patterns, finding failures, analyzing latency, or understanding why Orchestrator/Analyst responses went wrong. Co...
Reference guide for OpenAI model IDs, capabilities, pricing, and provider endpoints. Use when selecting a model, comparing OpenAI capabilities, or validating model IDs for {{PROJECT_NAME}}.
Build production-ready FastAPI applications with async patterns, Pydantic validation, dependency injection, middleware, and database integration. Use for FastAPI endpoints, async workflows, or API design.
Build production-ready FastAPI applications with async patterns, Pydantic validation, dependency injection, middleware, and database integration. Use for FastAPI endpoints, async workflows, or API design.
Advanced AI Solution Architect wisdom for designing production-grade AI systems. Use when (1) architecting new agents, workflows, or AI features, (2) debugging agent behavior or performance issues, (3) making t...
Feature development using DPPM framework (Discover, Plan, Prototype, Monitor). Use for feature planning and multi-agent orchestration.
Build production-ready FastAPI applications with async patterns, Pydantic validation, dependency injection, middleware, and database integration. Use for FastAPI endpoints, async workflows, or API design.
Feature development using DPPM framework (Discover, Plan, Prototype, Monitor). Use for feature planning and multi-agent orchestration.
Reference guide for LLM model IDs, capabilities, pricing, and provider endpoints. Use when selecting a model, comparing provider capabilities, or validating model IDs for {{PROJECT_NAME}}.
Run and evaluate the Skillset smoke test (aliases, sets, and skill invocation) and interpret its JSON reports. Use this when validating $skill/$set behavior or checking Claude Code/Codex headless runs.
0G TeeMLプライバシー保護AI推論の知識。「0G」「TeeML」「プライバシー」「AI推論」で使用。
Analyze the conversation for corrections, approvals, and patterns. Update project skills with learned preferences. Use this when the user says "reflect" or after sessions with explicit feedback/corrections. Aut...
Carga el archivo CLAUDE_PROMPT.md como contexto para aplicar las instrucciones y mejores prácticas del proyecto. Úsalo cuando el usuario quiera aplicar las guías personalizadas, principios de trabajo, o cuando...
Copy or sync Claude skills from ~/.claude/skills into ~/.codex/skills so they are available in Codex. Use when asked to import, migrate, copy, or sync Claude skills, or when moving skills between Claude and Cod...
Guide for using Claude Code subagents effectively. Use when deciding whether to delegate a task to a subagent or handle it directly.
Create new Claude Agent Skills following best practices. Use when user wants to create, scaffold, or update a skill package with proper progressive disclosure structure.
Generate architecture, sequence, state, and ERD diagrams for code understanding. Use when user wants to visualize code structure or document systems.
Capture task outcomes and patterns after completing work. Use after /verify or when a task succeeds/fails to enable adaptive skill evolution.
Analyzes prompts and produces improved versions using Anthropic's prompt engineering best practices. Use when asked to improve, optimize, or review a prompt. Works with standalone prompts or prompts embedded in...
Guide on how to implement Synapse Axons (clients). Covers Smart Axons (interactive) and Raw Axons (reporting only) using MQTT or HTTP. Use this skill when the user asks how to create a new service, sidecar, or...
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.