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Agent Skill · 研究检索

dev%3aplan(DEV 3aplan 搜索)

dev%3aplan 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。

dev%3aplan 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,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 62,370。

总安装 336周安装 14GitHub Stars 公开资料未说明下载 112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:dev%3aplan(DEV 3aplan 搜索)
来源仓库:https://github.com/cloudvoyant/codevoyant
仓库路径:skills/dev%3Aplan
安装命令:
npx skills add https://github.com/cloudvoyant/codevoyant --skill dev: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/cloudvoyant/codevoyant --skill dev: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。

用于查找、检索和筛选相关信息,适合快速定位候选结果。可结合关键词、任务场景或来源线索进行信息聚合。通过命令行安装并使用,需参考原始 README 获取具体指令。安装前建议确认是否会触发联网或文件读写,确保权限可控。dev%3aplan 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/dev%3Aplan

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/cloudvoyant/codevoyant --skill dev:plan;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

dev%3aplan 怎么安装?

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

dev%3aplan 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。

dev%3aplan 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。

dev%3aplan 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。

dev%3aplan 用的人多吗?

公开数据是累计安装 336 次,近一周安装 14 次,下载 112 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。

dev%3aplan 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。
  • 要求有安全扫描结论才肯安装的团队。
  • 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
dev%3aplan

DEV 3aplan 搜索 · 本页

336—需要联网未明确未收录

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

Compatibility: If AskUserQuestion is unavailable, present options as a numbered list and wait for the user's reply. If Task is unavailable, run parallel steps sequentially. The context: fork and agent: frontmatter fields are Claude Code-specific — on OpenCode and VS Code Copilot they are ignored and the skill runs inline using the current model.

Plan software architecture for a project or feature. Writes drafts to .codevoyant/plans/.

Step 0: Parse Args

Extract:

  • FEATURE_NAME = first non-flag argument (slugify for filename)
  • PLAN_MODE = value after --mode (arch or feat); if absent, leave unset — Step 1 will ask
  • BG_MODE, SILENT as standard

If no FEATURE_NAME: ask "What are we designing architecture for?" (free text).

Derive:

  • FEATURE_SLUG = lowercase, hyphens (e.g. "auth refresh flow" → "auth-refresh-flow")
  • PLAN_DIR =.codevoyant/plans/{FEATURE_SLUG}

Create output directory:

mkdir -p "$PLAN_DIR/research"

Step 0.5: System Audit

git log --oneline -10
ls .codevoyant/plans/ 2>/dev/null || echo "(no existing plans)"
ls docs/architecture/ 2>/dev/null || echo "(no existing arch docs)"

If docs/architecture/README.md exists, read it — use as context so this plan doesn't duplicate existing decisions.

Step 1: Gather Design Context

If PLAN_MODE is unset, ask:

AskUserQuestion: question: "What kind of plan is this?" header: "Plan mode" options: - label: "Architecture (--mode arch)" description: "System or component design — produces task breakdown with LOE and blocking relationships" - label: "Feature implementation (--mode feat)" description: "A specific feature within a known architecture — produces a design doc only"

Set PLAN_MODE from the answer before continuing.

Ask:

  1. "What scope are we designing?" — options: New feature | Refactor existing system | Cross-cutting concern (auth, logging, etc.) | Greenfield project
  2. "What do you know about the design already?" — free text; may be empty ("I need you to research and propose")
  3. "Confidence level?" — Already decided (document it) | Exploring options | Spike needed (too many unknowns)

Step 2: Parallel Research

Launch two background agents (model: claude-haiku-4-5-20251001, run_in_background: true):

Agent R1 — Codebase Scan: Glob/Grep for files, patterns, and systems relevant to this feature. Note existing architecture decisions, naming conventions, and test coverage. Return structured findings.

Agent R2 — Existing Architecture Docs: Read all files in docs/architecture/. Identify: what the current system looks like, what decisions are already recorded, what this feature touches. Flag gaps or contradictions with proposed design.

Wait for both agents. Synthesize: highlight what's new vs. what integrates with existing decisions.

Step 3: Architecture Design

Based on context and research, produce the architecture document content:

Sections (required):

Context — what system/feature this is in, why now

Design Decision — the architectural choice made (or top 2-3 options if exploring). For each option: trade-offs, complexity, reversibility.

Data Model — entities, relationships, storage. ASCII diagram if schema is non-trivial.

System Boundaries — what this feature owns vs. delegates. Use a Mermaid flowchart:

flowchart LR
    A[This feature] --> B[Dependency A]
    A --> C[Storage / Queue]

API Surface — new or modified interfaces (method, path/name, request/response shape). Mark N/A if internal only.

Key Decisions — table of one-way vs two-way doors:

DecisionTypeRationale
{decision}ONE-WAY (!) / TWO-WAY{why this path}

Failure Modes — top 3 ways this can fail, with mitigation:

FailureTriggerMitigation
{class}{condition}{rescue action}

Open Questions — unknowns that need resolution before implementation starts

Out of Scope — explicitly deferred design concerns

Design principles:

  • Boring by Default: name any existing library or pattern that could be reused instead of building
  • If a section is unknown: write [spike needed], not omit it
  • Decisions table: every one-way door must have a rationale

Step 4: Confirmation

Show a one-paragraph summary of the design. AskUserQuestion:

question: "Does this architecture look right?"
header: "Design Review"
options:
  - label: "Looks good — write the docs"
    description: "Write feature doc and update overview"
  - label: "Revise the design"
    description: "I'll describe what to change"
  - label: "Mark as exploratory"
    description: "Write as a proposal, not a decision"

Loop on revisions until "Looks good" or "Mark as exploratory".

Step 5: Write Plan Files

Write {PLAN_DIR}/plan.md with all architecture doc sections:

  • Context
  • Design Decision
  • Data Model
  • System Boundaries (Mermaid diagram preferred over ASCII)
  • API Surface
  • Key Decisions table
  • Failure Modes table
  • Open Questions
  • Out of Scope

If "Mark as exploratory": prepend > **Status: Proposal** — not yet decided.

Task Breakdown (if PLAN_MODE is arch)

If PLAN_MODE is arch (or scope chosen was "Refactor existing system" or "Greenfield project"), append a ## Task Breakdown section to plan.md:

For each implementation task identified during design, write a self-contained entry rich enough for an autonomous agent to run /spec:new and /spec:bg without further human input:

{task name}

  • LOE: {N} hours (rough estimate)
  • Blocks: {list of task names this task must complete before, or "none"}
  • Blocked by: {list of task names that must complete first, or "none"}
  • Architecture reference: {PLAN_DIR}/plan.md → ## {Section name} (e.g. ## Design Decision, ## API Surface)
  • Scope: {one paragraph — what specifically must be built or changed to implement this task}
  • Key constraints: {relevant ONE-WAY door decisions from the Key Decisions table that apply to this task}
  • Acceptance criteria:

- {specific, verifiable condition checkable in under 5 minutes} - {another AC — e.g. unit test passes, endpoint returns expected shape, migration is idempotent}

Include a Mermaid dependency graph if there are blocking relationships:

graph TD
  A[Task A] --> B[Task B]
  A --> C[Task C]
  C --> D[Task D]

Step 7: Report + Notify

Register the plan:

npx @codevoyant/agent-kit plans register \
  --name "{FEATURE_SLUG}" \
  --plugin dev \
  --description "{first line of Context section}" \
  --total "{task count from Task Breakdown, or 0}"

Report:

Plan written to .codevoyant/plans/{FEATURE_SLUG}/plan.md
Run /dev:approve to promote to docs/architecture/.

If BG_MODE=true and SILENT=false:

npx @codevoyant/agent-kit notify --title "dev:plan complete" --message "Architecture plan saved: .codevoyant/plans/{FEATURE_SLUG}/"

平台分布

Codex

38.45%
按下载量换算43

Claude

29.94%
按下载量换算34

Cursor

19.35%
按下载量换算22

Gemini CLI

9.01%
按下载量换算10

安全审计

暂无安全审计结果可展示。

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。目前只有一个公开来源,建议同时核对源仓库。

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