Skills publicadas
Mostrando 12 de 7.366tdd-workflows-tdd-refactor
Use when working with tdd workflows tdd refactor
bio-atac-seq-atac-peak-calling
Call accessible chromatin regions from ATAC-seq data using MACS3 with ATAC-specific parameters. Use when identifying open chromatin regions from aligned ATAC-seq BAM files, different from ChIP-seq peak calling.
pptx
Claude pode criar, editar, analisar e gerenciar apresentações .pptx, incluindo modificação de conteúdo, ajustes de layout e adição de notas.
terraform-aws-modules
Terraform module creation for AWS — reusable modules, state management, and HCL best practices. Use when building or reviewing Terraform AWS infrastructure.
example-skill
This skill should be used when the user asks to "demonstrate skills", "show skill format", "create a skill template", or discusses skill development patterns. Provides a reference template for creating Claude Code plugin skills.
tapestry
Unified content extraction and action planning. Use when user says "learn-this <URL>", "learn this <URL>", "weave <URL>", "help me plan <URL>", "extract and plan <URL>", "make this actionable <URL>", or similar phrases indicating they want to extract content and create an action plan. Automatically detects content type (YouTube video, article, PDF) and processes accordingly.
defense
Defense-in-depth security validation — multi-layered checks for OWASP Top 10, secrets, auth, crypto, and data protection.
incident-runbook-templates
Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use when building runbooks, responding to incidents, or establishing incident response procedures.
py-alembic-patterns
Alembic migration patterns for PostgreSQL. Use when creating migrations, reviewing autogenerated migrations, or handling schema changes safely.
ui-handler
Implement UI using Shadcn MCP (atoms/theme) and 21st.dev MCP (complex sections). Use when adding buttons, layouts, or generating landing pages.
agentdb-reinforcement-learning-training
Train AI agents using AgentDB's 9 reinforcement learning algorithms including Q-Learning, DQN, PPO, and Actor-Critic. Build self-learning agents, implement RL training loops with experience replay, and deploy optimized models to production.
bio-pdb-structure-modification
Modify protein structures using Biopython Bio.PDB. Use when transforming coordinates, removing atoms or residues, adding new entities, modifying B-factors and occupancies, or building structures programmatically.