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Agent Skill · 研究检索

speccy(speccy 搜索)

speccy 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。

speccy 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,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 67,439。

总安装 245周安装 10GitHub Stars 2下载 78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:speccy(speccy 搜索)
来源仓库:https://github.com/slamb2k/mad-skills
仓库路径:skills/speccy
安装命令:
npx skills add https://github.com/slamb2k/mad-skills --skill speccy
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/slamb2k/mad-skills --skill speccy

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。

speccy 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。它可辅助 Agent 从文档、代码库或知识库中提取匹配内容,并按相关性排序返回。

通过 npx skills add 命令从指定仓库安装,具体用法需结合原始 README 进一步确认。安装前建议核实权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。speccy 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/speccy

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/slamb2k/mad-skills --skill speccy;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

speccy 怎么安装?

在终端执行 npx skills add https://github.com/slamb2k/mad-skills --skill speccy。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

speccy 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。

speccy 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

speccy 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。

speccy 用的人多吗?

公开数据是累计安装 245 次,近一周安装 10 次,下载 78 次,GitHub 2 星。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。

speccy 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
speccy

speccy 搜索 · 本页

2452只读未明确通过

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

Speccy - Interview-Driven Specification Builder

When this skill is invoked, IMMEDIATELY output the banner below before doing anything else. Pick ONE tagline at random — vary your choice each time. CRITICAL: Reproduce the banner EXACTLY character-for-character. The first line of the art has 4 leading spaces — you MUST preserve them.

{tagline}

⠀   ██╗███████╗██████╗ ███████╗ ██████╗ ██████╗██╗   ██╗
   ██╔╝██╔════╝██╔══██╗██╔════╝██╔════╝██╔════╝╚██╗ ██╔╝
  ██╔╝ ███████╗██████╔╝█████╗  ██║     ██║      ╚████╔╝
 ██╔╝  ╚════██║██╔═══╝ ██╔══╝  ██║     ██║       ╚██╔╝
██╔╝   ███████║██║     ███████╗╚██████╗╚██████╗   ██║
╚═╝    ╚══════╝╚═╝     ╚══════╝ ╚═════╝ ╚═════╝   ╚═╝

Taglines:

  • 🔍 Tell me everything...
  • 🧠 Let's think this through!
  • 📋 Spec it before you wreck it!
  • 🎤 Interview mode: ACTIVATED
  • 💡 Great specs start with great questions!
  • 🏗️ Measure twice, code once!
  • 📝 No assumption left behind!
  • 🎯 Precision engineering starts here!

Output Formatting

After the banner, display parsed input:

┌─ Input ────────────────────────────────────────
│  {Field}:  {value}
│  Flags:    {parsed flags or "none"}
└────────────────────────────────────────────────

Pre-flight results:

── Pre-flight ───────────────────────────────────
  ✅ {dep}           {version or "found"}
  ⚠️ {dep}           not found → {fallback detail}
  ❌ {dep}           missing → stopping
──────────────────────────────────────────────────

Stage/phase headers: ━━ {N} · {Name} ━━━━━━━━━━━━━━━━━━━━━━━━━

Status icons: ✅ done · ❌ failed · ⚠️ degraded · ⏳ working · ⏭️ skipped


Interview the user through multiple rounds of targeted questions to build a comprehensive specification, then write it directly using the spec template in references/spec-template.md.

Interview prompts and question guidelines: references/interview-guide.md Spec template and writing guidelines: references/spec-template.md

Pre-flight

Before starting, check all dependencies in this table:

DependencyTypeCheckRequiredResolutionDetail
primeskillls.claude/skills/prime/SKILL.md ~/.claude/skills/prime/SKILL.md ~/.claude/plugins/marketplaces/slamb2k/skills/prime/SKILL.md 2>/dev/nullnofallbackContext loading; falls back to manual project scan

For each row, in order:

  1. Test file existence (check both paths for symlinked skills)
  2. If found: continue silently
  3. If missing: apply Resolution strategy
  4. After all checks: proceed to context gathering

Stage 1: Context Gathering

Before asking any questions, build a thorough understanding of the project:

  1. Capture GOAL — the user's argument describing what needs to be specified
  2. Load project context — invoke /prime to load domain-specific context (CLAUDE.md, specs, memory). If /prime is unavailable, fall back to the manual scan below.
  3. Scan the project (skip items already loaded by /prime):

- Read CLAUDE.md if present (project conventions, structure, domain) - Scan specs/ directory for existing specifications - Scan existing design docs for context - Read relevant source code that relates to the GOAL - Check memory for prior decisions or open questions related to the GOAL

  1. Identify knowledge gaps — what must you learn from the user to write a complete, unambiguous specification?

Group gaps into interview categories:

  • Architecture & Technical Design — stack, patterns, data flow, integrations
  • Requirements & Scope — what's in, what's out, must-haves vs nice-to-haves
  • UI & UX — user flows, interaction patterns, accessibility, responsive
  • Security & Auth — authentication, authorization, data protection
  • Infrastructure & Deployment — hosting, CI/CD, environments, IaC
  • Data & Storage — schemas, persistence, migrations, caching
  • Testing & Quality — test strategy, coverage, acceptance criteria
  • Concerns & Tradeoffs — known risks, alternatives considered, constraints

Stage 2: Interview Rounds

Conduct multiple rounds of questions using AskUserQuestion. Continue until all knowledge gaps are resolved.

Question Rules

  1. 4 questions per round maximum (AskUserQuestion limit)
  2. Non-obvious questions only — don't ask things you can determine from reading the code or docs. The user's time is valuable.
  3. Recommendations — where you have an informed opinion based on the codebase, project conventions, or industry best practice, mark one option as recommended by listing it first and appending (Recommended) to its label. At least one question per round should have a recommendation where possible.
  4. Concise options — 2-4 options per question, each with a clear description of implications and tradeoffs
  5. Progressive depth — start with high-level architecture and scope, then drill into implementation details in later rounds
  6. Build on answers — use previous round answers to inform next questions. Don't re-ask decided topics.
  7. Track decisions — maintain a running list of all decisions made. Present this list at the start of each round so the user can see progress.

Round Structure

Each round follows this pattern:

  1. Progress update — brief summary of decisions made so far (after round 1)
  2. Category label — which interview category this round covers
  3. Questions — 3-4 targeted questions via AskUserQuestion
  4. Evaluate — after answers, determine if more questions are needed

Completion Criteria

Stop interviewing when ALL of the following are true:

  • All identified knowledge gaps have been addressed
  • No answer has raised new unresolved questions
  • You have enough information to write every section of the spec template
  • The user has confirmed scope boundaries (what's in and what's out)

When complete, briefly present a Decision Summary — a numbered list of all decisions made across all rounds — and confirm with the user before proceeding to spec generation.


Stage 3: Generate Specification

Once the interview is complete and decisions are confirmed:

  1. Create specs/ directory if it doesn't exist: mkdir -p specs
  2. Read the spec template from references/spec-template.md
  3. Generate the spec by filling the template with:

- The original GOAL as the introduction and purpose - All decisions from the interview rounds, mapped to the appropriate sections - Code/architecture context discovered in Stage 1 - Acceptance criteria derived from requirements decisions - Test strategy aligned with the project's existing patterns

  1. Write the spec file to specs/{name}.md where {name} is a kebab-case slug derived from the GOAL (e.g., specs/user-auth.md, specs/payment-integration.md). Use the Write tool directly.
  2. The specs/ directory is the standard location — /build and /prime both scan it automatically.

Output & Handoff

After the spec is created, report to the user:

┌─ Speccy · Report ──────────────────────────────
│
│  ✅ Spec complete
│
│  📄 File:       {spec file path}
│  📋 Sections:   {count}
│  💬 Rounds:     {interview rounds conducted}
│  ❓ Questions:  {total questions asked}
│
│  📝 Key decisions
│     • {decision 1}
│     • {decision 2}
│     • {decision 3}
│
│  🔗 Links
│     Spec: {spec file path}
│
│  ⚡ Next steps
│     1. Review the spec: {path}
│     2. Run `/build {spec path}` to implement (reads the file automatically)
│
└─────────────────────────────────────────────────

Then immediately ask the user via AskUserQuestion:

Question: "Spec written to {spec file path}. Ready to build?" Options:

  • "Clear context & build (Recommended)" — clear the conversation first, then run /build
  • "Build now" — invoke /build immediately in the current context
  • "Review first" — stop here so the user can review the spec before building
  • "Done" — stop here, no build

If the user selects "Clear context & build":

  1. Run /clear to clear the conversation context
  2. Then invoke /build {spec file path}: Skill(skill: "build", args: "{spec file path}") /build reads the spec file via Plan Resolution and executes the full pipeline with maximum context window available.

If the user selects "Build now":

  1. Invoke /build {spec file path} directly: Skill(skill: "build", args: "{spec file path}") /build reads the spec file via Plan Resolution and executes the full pipeline. The current conversation context is preserved.

In both cases, do not attempt to implement the spec yourself — always delegate to /build.

If the user selects "Review first" or "Done", stop and display:

⚡ To build later, run: /build {spec file path}

IMPORTANT: After generating the spec, do NOT enter plan mode, do NOT start implementing directly, and do NOT offer to execute the plan yourself. The only path to implementation is through /build.

平台分布

Codex

37.26%
按下载量换算29

Claude

28.16%
按下载量换算22

Cursor

16.9%
按下载量换算13

Gemini CLI

8.55%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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