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Found 7 Skills
Use when performing ralph wiggum style long-running development loops with pacing control.
Activate autonomous Ralph Wiggum loop mode for iterative task completion. Use when you have a well-defined task with clear completion criteria that benefits from persistent, autonomous execution.
Guided Shape Up workflow for taking projects from idea to working software. Orchestrates the /shaping and /breadboarding skills through a structured process: Frame, Shape, Breadboard, Slice, Build. Works for both greenfield (0-1) and existing projects. Use when: starting a new project or feature, planning a significant change to an existing codebase, user says "shape this", "let's shape", "shape up", or wants to go from idea to implementation with structured problem/solution separation. Proactively guides each phase and suggests next steps.
Create implementation plans from spec via iterative codebase research and strategic questions. Produces mini-PR plans optimized for iterative development. Use after $spec or when you have clear requirements. Triggers: plan, implementation plan, how to build.
Adaptive sprint workflow: deep analysis, evolving roadmap, one-at-a-time sprints, formal debt tracking, and re-entry prompts for context persistence. Trigger: When the user wants to analyze a project, create a roadmap, generate/execute sprints iteratively, or check project status and technical debt.
Create detailed implementation plans with thorough research and iteration. Use when the user asks to build a feature, create a plan, or specifically invokes this skill.
General RPI (Research, Plan, Implement, Iterate) execution skill. It is used for engineering tasks where users require "research first, then plan, then implement, and finally iterate", or when tasks are highly complex, high-risk, or have unclear impact. This skill does not rely on specific command-line tools or platforms, and is applicable to any AI Agent that supports skill mechanisms.