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Found 21 Skills
Execute task planning based on the specified file and manage questions[/todo-task-planning file_path --pr --branch branch_name]
Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
Structured development workflows using /brainstorm, /write-plan, and /execute-plan patterns. Transform ad-hoc conversations into systematic project execution with hypothesis-driven planning, incremental implementation, and progress tracking.
Clarify requirements before implementing by asking the minimum must-have questions. Use when a request is underspecified or ambiguous, when the user asks to “ask clarifying questions”, or when multiple plausible interpretations exist and you risk doing the wrong work.
Complete project planning and execution framework. Automatically includes all 14 planning sections (planning/0-Master-Index.md through planning/13-Lessons-Learned-Continuous-Improvement.md) plus all 9 Claude Skills (tech-stack-selector, architecture-decisions, code-standards-enforcer, ci-cd-pipeline-builder, agile-executor, project-risk-identifier, automation-orchestrator, webapp-testing, web-artifacts-builder). When installed, all planning templates and execution skills are immediately available.
Complete hour-by-hour checklist for Product Hunt launch day execution. Use this skill to ensure nothing is missed during the critical 24-hour launch window.
Implement a plan or feature. Use when the user has a defined plan ready to be coded.
Get Shit Done (GSD) - A comprehensive project management system for solo developers using Claude agents
Runs the Ralph autonomous loop. Executes stories from prds/*.json using git worktrees.
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.
Use this when you have a written implementation plan to execute in a separate session with review checkpoints.
For questionable requests, clarify with context before implementing