Agent技能构建向导

SKILLAI 工具

原名 Skill Build Wizard · 标识 skill-build-wizard

AI 工具 未标注权限 许可证不明确
安装这个技能

带你走完开发生产级Agent技能的全流程:先做前置检查,再确认规格与质量标准,最后按发布要求收尾,让技能从想法走到可发布状态。

一句话选型结论

按资料字段整理

Agent技能构建向导是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_2a52e6b3/skill-build-wizard
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_2a52e6b3仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验2026-11-06上游最后核验时间 · 数据更新 2026-11-06
正文体量9.4 KBSKILL.md 原文大小,越大说明说明书写得越细

能做什么

0 项能力
上游给出的能力概览与适用场景
从零创建一个技能检查技能质量是否达标准备技能发布材料

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Agent技能构建向导当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

9.4 KB
模型实际读到的说明书原文,来自技能仓库

skill-build-wizard — End-to-End Skill Building Workflow

  • Version: 1.0.0
  • License: MIT
  • Author: Evan Song · github.com/Songhonglei
  • Repository: https://github.com/Songhonglei/build-better-skills
  • Part of: build-better-skills suite — see Stages for the lifecycle map.

A guided workflow that walks users through building production-quality agent skills.
Unlike skill-creator (a technical reference written for AI), this wizard is
written for the user — it sequences the work into 4 stages and pauses for
confirmation at each handoff so nothing important gets skipped.

Usage

When a user says "build a skill" / "做个 skill" / "skill-build-wizard", execute the
four stages in order. Wait for user confirmation before advancing to the next stage.


Stage 1: Pre-flight checks (skippable)

Goal: Make sure the workspace is ready, avoid rework later.

Skip rules: The user can skip this stage or any individual check at any time,
no explanation required.
- Skip all: user says "skip pre-flight" / "skip" / "no checks" → jump to Stage 2
- Skip specific: user says "skip git check" → skip just that item, run the rest
- On warnings/failures: report the result, then proactively ask "continue or
fix first?" — never force a fix.

Run the pre-flight script (auto-locates the skill directory, supports --skip):

# Auto-locate the script (works under common locations)
SKILL_DIR=$(find "$HOME/.openclaw/workspace/skills" "$HOME/.claude/skills" /app/skills \
  -maxdepth 1 -name "skill-build-wizard" -type d 2>/dev/null | head -1)
bash "${SKILL_DIR}/scripts/pre-check.sh"

# Skip examples:
# bash "${SKILL_DIR}/scripts/pre-check.sh" --skip git
# bash "${SKILL_DIR}/scripts/pre-check.sh" --skip all

The script checks one thing and prints two general recommendations
(see references/checklist-before-start.md):

  1. Workspace Git — version-track your work so you can undo any mis-edit
  2. (Recommendation) Long-running task tolerance — ensure your agent/IDE
    won't time out mid-build
  3. (Recommendation) Cross-session continuity — have a way to recover or
    reload the conversation context if it gets dropped

Outcomes:
- ✅ All pass → proceed to Stage 2
- ⚠️ Warning → tell the user, ask "continue or fix first?", honor their choice
- ❌ Failure → suggest a fix, ask "continue or fix first?", honor their choice


Stage 2: Spec clarification → confirmation

Goal: Align on requirements and design before writing any code.

Three musts:

  1. Must use skill-creator for scaffolding —
    say to the user: "I'll call skill-creator to build this skill", don't roll your own.
  2. Must give a complete design and wait for user confirmation before coding —
    the design includes: skill purpose, directory structure, list of
    scripts/references/assets, trigger phrase design.
  3. Must avoid local dependencies — no fixed paths (e.g. /home/me/...), no
    machine-specific env vars, no local DB endpoints.

Question pacing (ask in small batches, not a 10-question list):
- What problem does this skill solve? How will users trigger it?
- Can you give one or two concrete usage scenarios?
- Does the skill need external APIs or local file access?

After the design is confirmed, before coding, optionally save the design:
- Save to any markdown / docs system you use (your team wiki, Confluence,
Notion, a local DESIGN.md file in the project, etc.) — this is optional
and non-blocking.
- Document title: "[Skill name] — Design"
- Content: skill purpose, directory structure, scripts/references/assets list,
trigger phrase design.
- If save fails or the user prefers not to save, proceed to coding directly
(no need to block the flow).
- Tell the user: "Design confirmed. Starting code now; will run quality
checks when done."


Stage 3: Coding acceptance

Goal: Don't carry bugs into the release stage.

See references/checklist-coding.md for the full checklist. Run four checks
in order:

  1. Design alignment — verify every functional point against the agreed design
  2. Edge cases — empty input / API failure / file-not-found / dependency
    missing, etc.
  3. Code + doc review (2 passes) —
    Pass 1: script stability (set -e traps, missing external commands, numeric
    guards, hardcoded paths, pipe safety) + SKILL.md doc quality (paths,
    fallback logic, references usage, trigger coverage);
    Pass 2: from the "first-time stranger user" perspective, walk the flow
    end-to-end and find dead ends.
  4. Smoke tests (2 passes) — direct script run + end-to-end functional test,
    with real output as evidence.

Gate: All four must pass before advancing. Fix issues then re-run the
affected items.

Before advancing to Stage 4, clean up build artifacts (avoid shipping
temp files in the release package):
- Move any smoke-test scripts / logs / fixtures to a temp dir or delete them.
Do not leave them in the skill directory.
- The skill directory should only contain release files: SKILL.md, scripts/,
references/, assets/. No *.log, *.bak, test_* fixtures.
- Verify: ls -la <skill-dir> and confirm each file belongs.


Stage 4: Release prep

Goal: Ship a clean, safe, cross-environment package.

See references/checklist-release.md for the full checklist. Five requirements,
in this order:

  1. skill-regression — regression testing (fill in Test.md, then run twice)
  2. glic-check — 5-dimension quality review (Grammar / Logic / Integrity / Containment + Usability). The Integrity dimension catches dangerous writes, missing artifacts, and several security smells.
  3. skill-release-audit — final mechanical gate before publish (SKILL.md spec, file structure, no stray README/CHANGELOG, etc.)
  4. Cross-environment validation — install the package on a different machine
    or a teammate's environment, run from scratch. Cannot be automated.
  5. skill-release-plus — sign, pack, and fan-out publish to one or more skill hubs.

⚠️ Mandatory confirmation gate (prevents skipping acceptance):

Before executing step 5, you must confirm the following with the user
and wait for an explicit reply:

> "About to publish via skill-release-plus. Confirm:
> - Version: auto-bump / manually specified ..
> - Changelog:
_
>
> Reply 'confirm publish' to proceed."

Absolutely forbidden:
- ❌ Self-testing → commit → upload → publish in one shot. Before publishing,
the user must see a clear summary of changes + an acceptance report + a
clickable preview URL
and explicitly accept.
- ❌ Publishing without confirmed version and changelog.

After publish: share the hub URL and ask the user to verify the skill name,
description, and version on the hub page.


Dependencies

System commands

  • git — required for Stage 1 git check (recommended, not enforced)
  • python3 — optional, only used inside scripts/pre-check.sh for one minor
    detection; the script degrades gracefully if missing

Skill dependencies

All four are part of the build-better-skills suite, plus skill-creator from upstream Anthropic skills:

  • skill-creator — scaffolds the skill (called in Stage 2)
  • skill-regression — Stage 4 Step 1
  • glic-check — Stage 4 Step 2
  • skill-release-audit — Stage 4 Step 3
  • skill-release-plus — Stage 4 Step 5

Reference files

  • references/checklist-before-start.md — Stage 1 details (3 pre-flight tips)
  • references/checklist-coding.md — Stage 3 details (4 acceptance checks)
  • references/checklist-release.md — Stage 4 details (5 release requirements)
  • scripts/pre-check.sh — Stage 1 automated pre-flight script

常见问题

5 问
答案由本站依据条目字段整理
Agent技能构建向导怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_2a52e6b3/skill-build-wizard。安装方式为未标注。装完刷新技能列表或重开客户端。

Agent技能构建向导支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Agent技能构建向导权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Agent技能构建向导收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Agent技能构建向导用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 2026-11-06。