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deepen-plan深化计划

Agent Skill

deepen-plan 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

309

周安装

13

GitHub Stars

公开资料未说明

下载量

108
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:deepen-plan(深化计划)
来源仓库:https://github.com/vitadynamics/vita-cc-market
仓库路径:skills/deepen-plan
安装命令:
npx skills add https://github.com/vitadynamics/vita-cc-market --skill deepen-plan
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/vitadynamics/vita-cc-market --skill deepen-plan

简介

用于查找、检索和筛选相关信息,适合快速定位候选结果。

  • 可根据关键词或任务场景提供线索,辅助信息收集与决策支持。
  • 安装命令:npx skills add https://github.com/vitadynamics/vita-cc-market --skill deepen-plan
  • 使用前建议确认权限范围和维护状态,避免触发联网或命令执行。
  • 注意检查是否会读写文件或修改项目结构。

SKILL.md

Deepen Plan Skill

Purpose: Enhance existing plans with parallel research agents for maximum depth and grounding.

Plan to Deepen

Deepen target: ${ARGUMENTS}

Deepening Methodology

Phase 1: Plan Analysis

  1. Read and Understand Plan

- Read the entire plan document (expected location: docs/plans/) - If the plan frontmatter contains source-spec:, read the referenced spec file for additional context - Identify key sections and requirements - Note areas that need additional depth or clarification

  1. Scope Definition

- Determine which sections benefit most from deepening - Identify knowledge gaps or uncertainties - Prioritize based on impact and complexity

Phase 2: Parallel Research Agents

Launch specialized research agents in parallel based on plan needs:

Architecture & Design Agents:

  1. System Architecture Researcher - Overall system design and integration
  2. Domain Model Researcher - Business logic and data relationships
  3. API Design Researcher - Endpoint specifications and contracts

Implementation & Quality Agents: 4. Best Practices Researcher - Industry standards and conventions 5. Performance Researcher - Optimization strategies and patterns 6. Security Researcher - Security considerations and mitigations 7. Testing Strategy Researcher - Comprehensive testing approaches

Language & Framework Agents: 8. Language-Specific Researcher - Language idioms and patterns 9. Framework Researcher - Framework capabilities and constraints

Integration & Operations Agents: 10. Integration Researcher - External dependencies and APIs 11. Database Researcher - Data modeling and query patterns 12. UI/UX Researcher - User interface patterns and best practices

Phase 3: Knowledge Integration

  1. Collect Research Findings

- Gather insights from all research agents - Identify patterns and common themes - Evaluate conflicting recommendations

  1. Update Plan Sections

- Enhance existing sections with new insights - Add new sections for uncovered aspects - Include references and citations

  1. Create Deepened Plan

- Integrate research findings into coherent plan - Highlight key decisions and trade-offs - Provide implementation guidance

Phase 4: Validation and Refinement

  1. Review Deepened Plan

- Check for consistency and completeness - Validate technical feasibility - Assess alignment with project goals

  1. Present Enhancements

- Summarize key additions and improvements - Highlight critical insights and recommendations - Explain rationale for changes

  1. Next Steps

- Option to further refine specific sections - Run adr docs/plans/<feature-name>.md — capture key architectural decisions as permanent ADRs - Start /core:work docs/plans/<feature-name>.md — begin implementation

Output Features

Enhanced Plan Sections:

  • Expanded technical specifications
  • Detailed implementation strategies
  • Comprehensive testing approaches
  • Performance and security considerations

Supporting Materials:

  • Reference links and documentation
  • Code examples and patterns
  • Architecture diagrams and flowcharts
  • Risk assessment and mitigation strategies

Key Benefits

  1. Depth: Uncover hidden complexities and edge cases
  2. Breadth: Consider multiple perspectives and approaches
  3. Validation: Ground decisions in research and best practices
  4. Actionability: Provide concrete implementation guidance

Use Cases

Best for:

  • Complex feature implementations
  • Architectural changes or migrations
  • Performance-critical optimizations
  • Security-sensitive functionality
  • Integration with external systems

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.89%
按下载量换算40

Claude

27.58%
按下载量换算30

Cursor

20.59%
按下载量换算22

Gemini CLI

10.19%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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