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Agent Skill · 研究检索

medium-plan(中期计划)

medium-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。

medium-plan 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 63,254。

总安装 318周安装 13GitHub Stars 公开资料未说明下载 102核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:medium-plan(中期计划)
来源仓库:https://github.com/vitadynamics/vita-cc-market
仓库路径:skills/medium-plan
安装命令:
npx skills add https://github.com/vitadynamics/vita-cc-market --skill medium-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 medium-plan

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

medium-plan 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景定位候选结果。适用于需要快速获取信息或线索的场景,如计划制定或资源规划。通过关键词、来源仓库或任务描述触发检索,返回结构化候选列表。

安装前需确认权限范围,注意是否会触发联网或文件操作,建议检查维护状态。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/medium-plan

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/vitadynamics/vita-cc-market --skill medium-pla…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

medium-plan 怎么安装?

在终端执行 npx skills add https://github.com/vitadynamics/vita-cc-market --skill medium-plan。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

medium-plan 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

medium-plan 需要什么权限?

权限级别是需要联网。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。

medium-plan 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

medium-plan 用的人多吗?

公开数据是累计安装 318 次,近一周安装 13 次,下载 102 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

medium-plan 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
medium-plan

中期计划 · 本页

318—需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Plan Skill

Purpose: Transform feature descriptions, bug reports, or improvement ideas into well-structured markdown files that follow project conventions and best practices.

Feature Description

<feature_description> ${ARGUMENTS} </feature_description>

If the feature description above is empty, ask the user: "What would you like to plan? Please describe the feature, bug fix, or improvement you have in mind."

Do not proceed until you have a clear feature description from the user.

Main Tasks

1. Repository Research & Context Gathering

Run these three agents in parallel at the same time. For each agent: read the referenced file to get the system prompt (use the body after the YAML frontmatter ---), then launch a general-purpose Task agent with that system prompt.

Agent 1 — Repository Research:

  • System prompt file: plugins/Vengineer/agents/research/repo-research-analyst.md
  • User prompt: "Research repository conventions and patterns for: {feature_description}"

Agent 2 — Best Practices Research:

  • System prompt file: plugins/Vengineer/agents/research/best-practice-research.md
  • User prompt: "Research industry best practices relevant to: {feature_description}"

Agent 3 — Framework Documentation:

  • System prompt file: plugins/Vengineer/agents/research/framework-docs-researcher.md
  • User prompt: "Research framework and library documentation relevant to: {feature_description}"

Reference Collection:

  • Document all research findings with specific file paths (e.g., app/services/example_service.rb:42)
  • Include URLs to external documentation and best practices guides
  • Create a reference list of similar issues or PRs (e.g., #123, #456)
  • Note any team conventions discovered in CLAUDE.md or team documentation

2. Issue Planning & Structure

Title & Categorization:

  • Draft clear, searchable issue title using conventional format (e.g., feat:, fix:, docs:)
  • Determine issue type: enhancement, bug, refactor

Stakeholder Analysis:

  • Identify who will be affected by this issue (end users, developers, operations)
  • Consider implementation complexity and required expertise

Content Planning:

  • Choose appropriate detail level based on issue complexity and audience
  • List all necessary sections for the chosen template
  • Gather supporting materials (error logs, screenshots, design mockups)
  • Prepare code examples or reproduction steps if applicable, name the mock filenames in the lists

3. SpecFlow Analysis

After planning the issue structure, run SpecFlow Analyzer to validate and refine the feature specification:

Launch a general-purpose Task agent (prefer a fast/small model like Claude Haiku if available) with:

  • System prompt file: plugins/Vengineer/agents/core/spec-flow-analyzer.md (body after the YAML frontmatter)
  • User prompt: "{feature_description}. Research findings: {research_findings}"

SpecFlow Analyzer Output:

  • Review SpecFlow analysis results
  • Incorporate any identified gaps or edge cases into the issue
  • Update acceptance criteria based on SpecFlow findings

4. Design Visualization (Strongly Recommended)

Every plan SHOULD include at least one Mermaid diagram showing the design flow. This helps visualize:

  • Input → Processing → Output flow
  • Module interactions and boundaries
  • Data relationships

Choose the most appropriate diagram type:

Sequence Diagram (for interactions/flows)
sequenceDiagram
    participant User
    participant Frontend
    participant API
    participant Database

    User->>Frontend: Action
    Frontend->>API: Request
    API->>Database: Query
    Database-->>API: Result
    API-->>Frontend: Response
    Frontend-->>User: Display
Flowchart (for processing logic)
flowchart TD
    A[Input] --> B{Validate}
    B -->|Valid| C[Process]
    B -->|Invalid| D[Error]
    C --> E[Transform]
    E --> F[Output]
Entity Relationship (for data models)
erDiagram
    USER ||--o{ ORDER : places
    ORDER ||--|{ LINE_ITEM : contains
    PRODUCT ||--o{ LINE_ITEM : "ordered in"

Diagram Checklist:

  • Shows input → processing → output flow
  • Identifies key modules/components involved
  • Highlights integration points or boundaries
  • Uses clear, descriptive labels

When to use which:

Diagram TypeUse When
SequenceAPI calls, user flows, service interactions
FlowchartDecision logic, data processing, state machines
ERDNew models, database changes, entity relationships
ClassObject relationships, inheritance, interfaces

5. Parallelization Strategy

Every plan MUST include an Execution Strategy section identifying which implementation phases can run concurrently.

Required elements:

  1. Mermaid graph LR dependency diagram — nodes = phases, directed edges = "must complete before"; green fill (style X fill:#d4edda) = can start immediately with no prerequisites
  2. Phase table:
PhaseNameDepends OnCan Parallelize WithEffort
AExample Phase—BM
BAnother Phase—AS
CThird PhaseA, B—L
  1. Inline task tags within each phase's task list:

- [PARALLEL:group-id] — tasks with the same group-id can run simultaneously - [SERIAL:after-group-id] — task depends on all tasks in that group completing

Example:

graph LR
  A[Phase 1: Schema] --> C[Phase 3: API]
  B[Phase 2: Auth]   --> C
  C --> D[Phase 4: Frontend]
  C --> E[Phase 5: Jobs]
  D --> F[Phase 6: Tests]
  E --> F
  style A fill:#d4edda
  style B fill:#d4edda

6. Choose Implementation Detail Level

Select how comprehensive you want the issue to be, simpler is mostly better.

📄 MINIMAL (Quick Issue)

Best for: Simple bugs, small improvements, clear features

Includes:

  • Problem statement or feature description
  • Basic acceptance criteria
  • Essential context only

Structure:

[Brief problem/feature description]

## Acceptance Criteria

- [ ] Core requirement 1
- [ ] Core requirement 2

## Context

[Any critical information]

## MVP

### test.rb

class Test def initialize @name = "test" end end


## References

- Related issue: #[issue_number]
- Documentation: [relevant_docs_url]
📋 MORE (Standard Issue)

Best for: Most features, complex bugs, team collaboration

Includes everything from MINIMAL plus:

  • Detailed background and motivation
  • Technical considerations
  • Success metrics
  • Dependencies and risks
  • Basic implementation suggestions

Structure:

## Overview

[Comprehensive description]

## Background & Motivation

[Why this is needed]

## Technical Considerations

[Architecture, performance, security implications]

## Success Metrics

[How to measure success]

## Dependencies & Risks

[What could go wrong]

## Implementation Suggestions

[High-level approach]

## References

[Links to related work]
📚 A LOT (Comprehensive Specification)

Best for: Major features, architectural changes, critical bug fixes

Includes everything from MORE plus:

  • Detailed implementation steps
  • API design specifications
  • Testing strategy
  • Migration plan
  • Rollout strategy
  • Monitoring requirements

Structure:

## Executive Summary

[High-level overview]

## Detailed Requirements

[Complete specification]

## API Design

[Endpoints, schemas, examples]

## Implementation Steps

[Phase-by-phase breakdown]

## Testing Strategy

[Unit, integration, E2E tests]

## Migration Plan

[Data migration, backward compatibility]

## Rollout Strategy

[Phased rollout, feature flags]

## Monitoring & Observability

[Metrics, alerts, dashboards]

## References

[All relevant documentation]

6. AI-Era Considerations

  • Account for accelerated development with AI pair programming
  • Include prompts or instructions that worked well during research
  • Note which AI tools were used for initial exploration (Claude, Copilot, etc.)
  • Emphasize comprehensive testing given rapid implementation
  • Document any AI-generated code that needs human review

7. Final Review & Submission

Pre-submission Checklist:

  • Title is searchable and descriptive
  • Labels accurately categorize the issue
  • All template sections are complete
  • Links and references are working
  • Acceptance criteria are measurable
  • Add names of files in pseudo code examples and todo lists
  • Strongly Recommended: At least one Mermaid diagram showing design flow (sequence, flowchart, or ERD)
  • If no diagram included, add a note explaining why (e.g., "trivial change, no visualization needed")

Ambiguity Check before Plan Finalization

After the initial plan is generated, but before engaging in general refinement, evaluate the situation against this ambiguity matrix:

SituationAction
Single valid interpretationProceed
Multiple interpretations, similar effortProceed with reasonable default, note assumption
Multiple interpretations, 2x+ effort differenceMUST ask
Missing critical info (file, error, context)MUST ask
User's design seems flawed or suboptimalMUST raise concern before implementing

If the action requires you to MUST ask or MUST raise concern, use the AskUserQuestion tool immediately to resolve these specific issues before proceeding to the standard refinement phase.

Output Format

Write the plan to docs/plans/<feature-name>.md

Add YAML frontmatter at the top of the plan file:

---
stage: plan
created: YYYY-MM-DD
feature: <feature-name>
source-spec: <path to input spec file if input was from docs/specs/, else omit>
status: draft
---

If the input was from docs/specs/, also update the spec file's frontmatter to add:

next-plan: docs/plans/<feature-name>.md

Use the Edit tool to append this field inside the existing --- block without corrupting other fields.

Refine Plan

After the first Plan is generated, engage in multiple rounds of interaction with the user to Refine the Plan.

NOTE THAT YOU SHOULD USE THE TOOL AskUserQuestion TO INTERACT WITH THE USER OR ANY OTHER TOOLS THAT CAN INVOLVE THE USER IN THE PROCESS.

Interaction Guidelines:

  • When weighing the pros and cons, ask the user explicit questions or solicit their input.
  • Note: You can ask the user questions or clarify at any time during this workflow. Do not make too many assumptions about the user's intentions.
  • Iterate on the plan content in plans/<issue_title>.md based on feedback.

Only proceed to Post-Generation Options once the user is satisfied with the refined plan.

Post-Generation Options

After writing the plan file, use the AskUserQuestion tool to present these options:

Question: "Plan ready at docs/plans/<feature-name>.md. What would you like to do next?"

Options:

  1. Open plan in editor - Open the plan file for review
  2. Run /core:clarify - Ask targeted questions to reduce ambiguity in the plan
  3. Run /core:deepen-plan - Enhance each section with parallel research agents (best practices, performance, UI)
  4. Run /core:plan_review - Get feedback from specialized reviewers
  5. Generate ADR - Capture architectural decisions from this plan as permanent records (adr)
  6. Start /core:work - Begin implementing this plan
  7. Simplify - Reduce detail level

Based on selection:

  • Open plan in editor → Run open docs/plans/<feature-name>.md to open the file in the user's default editor
  • /core:clarify → Call the command with the plan file path to ask targeted clarification questions
  • /core:deepen-plan → Call the command with the plan file path to enhance with research
  • /core:plan_review → Call the command with the plan file path. Spawn reviewers based on project conventions
  • Generate ADR → Run the adr skill with docs/plans/<feature-name>.md as input
  • /core:work → Call the command with the plan file path
  • Simplify → Ask "What should I simplify?" then regenerate simpler version
  • Other (automatically provided) → Accept free text for rework or specific changes

Note: If running /core:plan with ultrathink enabled, automatically run /core:deepen-plan after plan creation for maximum depth and grounding.

Loop back to options after Simplify or Other changes until user selects /core:work or /core:plan_review.

NEVER CODE! Just research and write the plan.

平台分布

Codex

38.64%
按下载量换算39

Claude

31.62%
按下载量换算32

Cursor

18.96%
按下载量换算19

Gemini CLI

8.58%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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