Explorar skills

Explanation documentation patterns for understanding-oriented content - conceptual guides that explain why things work the way they do

Provides best practices for AI agent orchestration including MCP servers, A2A protocol, multi-agent coordination, and swarm architectures. Use when designing agent systems, configuring MCP servers, setting up agent teams, or when user mentions 'MCP', 'A2A', 'agent orchestration', 'multi-agent', 'swarm', 'agent team', 'LangGraph', 'CrewAI', 'AutoGen'.

Teaching home-economics skills as a durable practice across generations and capacity levels. Covers scaffolded task sequencing, the one-in-one-out rule, the apprenticeship model, learning by failure tolerance, family retros, the edible schoolyard framework, and the difference between teaching a recipe and teaching a kitchen. Use when designing a home-ec curriculum for children or adults, diagnosin

Avoid common mistakes and debug issues in PydanticAI agents. Use when encountering errors, unexpected behavior, or when reviewing agent implementations.

Advanced React Flow patterns for complex use cases. Use when implementing sub-flows, custom connection lines, programmatic layouts, drag-and-drop, undo/redo, or complex state synchronization.

Strength, power, and conditioning principles for physical education. Covers the seven classical strength adaptations (hypertrophy, maximal strength, power, endurance, speed, agility, mobility), resistance training modalities, periodization models, age-appropriate progression, and injury prevention. Use when designing resistance units, prescribing off-season conditioning, adapting training for adol

Systems-theoretic approaches to root cause analysis for complex socio-technical systems where linear causal chains fail. Covers Nancy Leveson's STAMP (Systems-Theoretic Accident Model and Process), STPA (System-Theoretic Process Analysis) for hazard analysis, CAST (Causal Analysis based on STAMP) for post-incident investigation, Rasmussen's risk-management framework and dynamic safety model, Holln

Use when you have a finalized `beagle-analysis:brainstorm-beagle` spec at `.beagle/concepts/<slug>/spec.md` and need a bite-sized, TDD-driven implementation plan before any code is written. Triggers on: \"write a plan\", \"plan this spec\", \"turn the spec into a plan\", \"now plan the implementation\", \"/write-plan\". Reads the spec, designs the file structure, decomposes work into 2-5 minute TD

GSD tutorial, command reference, and workflow explainer. Explains what a GSD workflow command does before you run it. Activates when user is new to GSD, asks about commands, wants to understand workflows, or mentions preview.

Reviews FastAPI code for routing patterns, dependency injection, validation, and async handlers. Use when reviewing FastAPI apps, checking APIRouter setup, Depends() usage, or response models.

Audits any domain's AI-readiness by using curl to directly probe robots.txt, llms.txt, and llms-full.txt, then scores each file against a structured checklist and delivers a formatted report with pass/warn/fail findings and actionable fixes. Use this skill whenever a user provides a domain or URL and wants to know if llms.txt or llms-full.txt is available, discoverable, or properly structured. Tri

Converts vague ideas into concrete, testable specifications with acceptance criteria. No implementation begins without a spec.