Hand-crafted collection of advanced context engineering techniques and patterns with minimal token footprint focused on improving agent result quality.
Commands and skills for writing and refining commands, hooks, skills for Claude Code, includes Anthropic Best Practices and Agent Persuasion Principles that can be useful for sub-agent workflows.
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
Introduces skills for subagent-driven development, dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates.
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
Introduces commands for commit and PRs creation, plus skills for git worktrees and notes.
Use when adding metadata to commits without changing history, tracking review status, test results, code quality annotations, or supplementing commit messages post-hoc - provides git notes commands and patterns for attaching non-invasive metadata to Git objects.
Use when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches - provides git worktree commands and workflow patterns for parallel development with multiple working directories.
Inspired by Japanese continuous improvement philosophy, Agile and Lean development practices. Introduces commands for analysis of root cause of issues and problems, including 5 Whys, Cause and Effect Analysis, and other techniques.
Introduces commands for test-driven development, common anti-patterns and skills for testing using subagents.
Introduces command to update CLAUDE.md with best practices for domain-driven development, focused on quality of code, includes Clean Architecture, SOLID principles, and other design patterns.
Collection of commands that force LLM to reflect on previous response and output. Based on papers like Self-Refine and Reflexion. These techniques improve the output of large language models by introducing feedback and refinement loops.
No verified skills in this plugin.
First Principles Framework (FPF) for structured reasoning. Implements ADI (Abduction-Deduction-Induction) cycle for hypothesis generation, logical verification, empirical validation, and auditable decision-making.
No verified skills in this plugin.
Introduce codebase and PR review commands and skills using multiple specialized agents.
No verified skills in this plugin.
Specification Driven Development workflow commands and agents, based on Github Spec Kit and OpenSpec. Uses specialized agents for effective context management and quality review.
No verified skills in this plugin.
Commands for analysing project, writing and refining documentation.
No verified skills in this plugin.
Commands for setup or update of CLAUDE.md file with best practices for specific language or framework.
No verified skills in this plugin.
Commands for setup well known MCP server integration if needed and update CLAUDE.md file with requirement to use this MCP server for current project.
No verified skills in this plugin.