Planning skills

This skill designs multi-skill workflow pipelines with artifact-based state handoff to streamline planning, implementation, and review.

This skill guides you in creating standards-aligned skills by following discovery, archetype selection, initialization, customization, and validation.

This skill provides a concise, multi-source project status report across VCS, PRs, issues, and CI, helping you identify blockers and plan effectively.

This skill helps clarify unclear requirements and map paths for complex features through structured questions, options, and guided planning.

This skill provides PhD-level guidance on research ethics, participant protection, and data privacy to help you evaluate study design and regulatory readiness.

This skill helps ensure ethical risk assessment, privacy by design, and IRB compliance across protocols, safeguarding participants and data.

This skill helps you transform observations into testable hypotheses and rigorous experimental plans with clear falsifiability criteria.

This skill provides PhD-level peer reviews of manuscripts and proposals, assessing significance, methodology, and rigor to guide constructive improvements.

This skill defines high-level funnel strategy by clarifying goals, audience, price, traffic, and conversion paths before building any funnel.

This skill helps you create, configure, and document Claude agents and subagents, guiding frontmatter, task tool usage, and agent roles.

This skill guides collaborative brainstorming to specify feature requirements and approaches before planning implementation efficiently together.

This skill visualizes and orchestrates AI agent tasks on a Kanban board, enabling parallel worktrees, planview integration, and automated PR creation.

This skill coordinates parallel reviews of a plan by specialized agents to speed up quality assessment and feedback.

This skill helps you implement agentic development principles to structure, manage context, automate workflows, and validate AI collaboration patterns.

This skill guides you through a BMAD-based game development workflow, generating docs, architectures, tests, and sprint plans for multi-engine projects.

This skill helps structure Python projects with consistent folders, naming, and conventions to improve maintainability and scalability.

This skill orchestrates automated planning, execution, verification, and cleanup across Claude Code, Codex, Gemini, and OpenCode workflows for end-to-end AI

This skill helps teams estimate software development tasks using story points, planning poker, and t-shirt sizing to improve sprint planning accuracy.

This skill facilitates sprint retrospectives to identify improvements, assign actionable items, and boost team collaboration and continuous improvement.

This skill helps you review and annotate AI agent plans and diffs with a visual UI, enabling structured feedback and auto-save.

This skill helps you execute work plans efficiently while maintaining quality, generating actionable tasks, and ensuring incremental progress toward shipping