using-superpowers
The foundational skill for the Superpowers methodology. Ensures agents correctly identify and invoke required development skills before starting any task or conversation.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
165 skills found
The foundational skill for the Superpowers methodology. Ensures agents correctly identify and invoke required development skills before starting any task or conversation.
Comprehensive ABAP development support for SAP systems, covering classic ABAP, ABAP Cloud, CDS views, RAP, EML, and modern syntax patterns.
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
Transforms feature requests, bug reports, and improvement ideas into structured, actionable markdown project plans using repository research and industry best practices.
A nested plugin architecture for Claude Code that optimizes context by dynamically loading playbooks, skills, and agents to save over 90% in token usage.
Prevents AI hallucination and ensures evidence-based, verifiable outputs when analyzing code, reviewing technical documents, or providing recommendations.
Orchestrates complex programming tasks by analyzing available skills, generating structured execution plans, and managing manual or delegated multi-step workflows.
Dialectical reasoning and adversarial coding agent for MCP-enabled editors, forcing LLMs to resolve internal contradictions for higher quality outputs.
Shared memory and collaboration layer for AI coding agents to track actions, manage sessions, detect conflicts, and preserve project context across tools.
RPI Plan Phase: Create chunk-based, dependency-aware implementation plans from research documents for structured, atomic development.
Manage project SSOT, memory, and cross-tool search. Guardian of decisions.md and patterns.md for Claude Code. Use for context retention, memory synchronization, and decision tracking.
Fetches expert perspectives from OpenAI Codex and Google Gemini for architecture, code reviews, and debugging, with transparent LLM synthesis.