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10x-plan

Create detailed implementation plans through iterative research and structured questioning.

Updated May 20, 2026
Search Tags:#planning#task breakdown#implementation plan#progress tracking#technical specification#change management#codebase research
One-click install
npx skills add https://github.com/Oskarovsky/Sprinter --skill 10x-plan-oskarovsky
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 10x-plan
Source: https://github.com/Oskarovsky/Sprinter/tree/main/.cursor/skills/10x-plan
Command: npx skills add https://github.com/Oskarovsky/Sprinter --skill 10x-plan-oskarovsky

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Turning a vague task or ticket into an actionable implementation plan requires deep codebase research and many decisions; this Skill guides an interactive, iterative process that produces thorough technical specifications without costly rework. ## Core Features & Use Cases - Adaptive Questioning: Scales the number and focus of clarifying questions based on task complexity (LOW/MEDIUM/HIGH) and upstream artifacts like frame briefs and research docs. - Parallel Codebase Research: Spawns Explore and general-purpose sub-agents to map files, trace data flow, and surface conventions before writing the plan. - Structured Plan Output: Writes a phased plan to context/changes/<change-id>/plan.md with success criteria, a machine-readable Progress section, and a two-page plan brief. - Use Case: Given a ticket to add OAuth login, the Skill reads prior research, asks targeted architecture and edge-case questions, then produces a phased plan with automated and manual verification steps. ## Quick Start Invoke the skill with a change id or task description, for example by asking to create an implementation plan for the oauth-login change.

Frequently Asked Questions about 10x-plan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a detailed implementation plan from a ticket?▼

Invoke the skill with the task description, ticket reference, or a change id. It reads referenced files, researches the codebase with parallel sub-agents, asks structured clarifying questions, then writes a phased plan to context/changes/<change-id>/plan.md.

How does the skill decide how many questions to ask?▼

It assesses task complexity as LOW (4-6 questions), MEDIUM (7-10), or HIGH (11-15), then reduces the count when upstream artifacts exist. A frame brief or research doc means fewer questions because decisions already made are not re-asked.

Can I use a frame brief or research doc as input to planning?▼

Yes. Passing context/changes/<change-id>/frame.md or research.md scales down questioning: the frame's problem statement is treated as authoritative and the research doc's code references become the codebase baseline.

What files does the implementation plan produce?▼

It writes plan.md with phases, success criteria, and a Progress checklist section, plus plan-brief.md, a two-page summary of what, why, and key decisions. It also updates change.md status to planned.

When should I not use this planning approach?▼

Skip it for trivial single-file changes where full questioning adds no value, and do not use it on archived changes. If the resolved path is under context/archive/, the skill refuses and tells you to open a new change instead.

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