implementation-plan

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Structured implementation planning skill that enhances Claude's plan mode with mandatory questioning, research, problem decomposition, goal-driven criteria-first planning, and multi-agent verification before any implementation begins. Use when the user asks to plan a task, create an implementation plan, think through an approach, or when Claude enters plan mode. Plans are goal-driven: for code tasks, every step follows TDD (tests specified before implementation); for non-code tasks, every step has observable acceptance criteria defined before the approach. Plans are held to Google/NASA- grade quality standards and must pass independent verification by 3+ specialized sub-agents (requirements traceability, technical rigor, security & threat analysis) before presentation. Handles any domain — software engineering, design, business, research, content — by adapting its questioning depth, research strategy, and plan detail to the task's complexity and type. Always explores the codebase for code tasks; uses web rese

quaylabshq By quaylabshq schedule Updated 3/20/2026

name: implementation-plan description: > Structured implementation planning skill that enhances Claude's plan mode with mandatory questioning, research, problem decomposition, goal-driven criteria-first planning, and multi-agent verification before any implementation begins. Use when the user asks to plan a task, create an implementation plan, think through an approach, or when Claude enters plan mode. Plans are goal-driven: for code tasks, every step follows TDD (tests specified before implementation); for non-code tasks, every step has observable acceptance criteria defined before the approach. Plans are held to Google/NASA- grade quality standards and must pass independent verification by 3+ specialized sub-agents (requirements traceability, technical rigor, security & threat analysis) before presentation. Handles any domain — software engineering, design, business, research, content — by adapting its questioning depth, research strategy, and plan detail to the task's complexity and type. Always explores the codebase for code tasks; uses web research for non-code tasks.

Implementation Plan

A navigable reference graph for creating thorough implementation plans. Enhances plan mode with mandatory questioning, research, context-efficient decomposition, and multi-agent verification to Google/NASA-grade quality standards.

Planning Process

Six-step process. Steps 0.5, 1–2, 4.5, and 5 are mandatory and must never be skipped:

Step Description Reference
Overview Full process summary + critical rules references/planning-process/overview.md
0.5 Domain classification — classify the task first references/planning-process/domain-classification.md
1 Clarification — mandatory questioning phase references/planning-process/step-1-clarification.md
2 Research — codebase exploration or web research references/planning-process/step-2-research.md
3 Decompose — recursive task breakdown references/planning-process/step-3-decompose.md
4 Generate plan — create the structured plan with quality doctrine references/planning-process/step-4-generate-plan.md
4.5 Multi-agent verification — independent sub-agents verify the plan references/planning-process/step-4.5-verification.md
5 Present — show plan + verification report and wait for approval references/planning-process/step-5-present.md
Pre/Post eval gates wrapping every step references/planning-process/pre-post-eval.md

Questionnaire Framework

Drives all question generation — initial, mid-process, and domain-adapted:

Topic Reference
Overview + core rules references/questionnaire-framework/overview.md
Initial question categories references/questionnaire-framework/initial-questions.md
Mid-process gap identification references/questionnaire-framework/mid-process-questions.md
Domain adaptation references/questionnaire-framework/domain-adaptation.md

Research Framework

How to gather information before planning — codebase or web-based:

Topic Reference
Overview + research principles references/research-framework/overview.md
Codebase exploration references/research-framework/codebase-exploration.md
Web/domain research references/research-framework/web-research.md

Goal-Driven Methodology

Criteria-first planning across all domains. For technical tasks: TDD. For non-technical tasks: acceptance-criteria-driven.

Topic Reference
Overview + core principle references/goal-driven-methodology/overview.md
Technical TDD planning references/goal-driven-methodology/technical-tdd.md
Non-technical acceptance criteria references/goal-driven-methodology/non-technical-criteria.md

Context Management

Topic Reference
Budget, delegation, clean context references/context-management.md

Output Format

Standardized core plan structure with adaptive detail sections:

Topic Reference
Format principles references/output-format/overview.md
Core template (fixed sections) references/output-format/core-template.md
Adaptive sections (domain-specific) references/output-format/adaptive-sections.md
Install via CLI
npx skills add https://github.com/quaylabshq/skill-graph --skill implementation-plan
Repository Details
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navigation Branch main
article Path SKILL.md
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