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Agent Skill · 开发

skill-writer(技能作家)

skill-writer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

skill-writer 是开发类 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,按安装量在开发类的 21,746 个 Skill 里排第 12,135。

总安装 1,423周安装 57GitHub Stars 35,671下载 461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:skill-writer(技能作家)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/skill-writer
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill skill-writer
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/sickn33/antigravity-awesome-skills --skill skill-writer

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

skill-writer 协助处理 GitHub 仓库、Issue 和 Pull Request 协作信息。适用于围绕代码变更、仓库状态或协作事项进行整理与沟通。在主要领域相关任务中使用,输出不替代环境验证或专家评审。需确认是否有足够输入、权限边界和成功标准后再继续。建议结合原始 README 核验具体用法与限制条件。

来源仓库内路径:skills/skill-writer

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/sickn33/antigravity-awesome-skills --skill ski…;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

skill-writer 怎么安装?

在终端执行 npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill skill-writer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-writer 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。

skill-writer 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。

skill-writer 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。

skill-writer 用的人多吗?

公开数据是累计安装 1,423 次,近一周安装 57 次,下载 461 次,GitHub 35,671 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。

skill-writer 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。
  • 来源仓库有 35,671 星,维护活跃度相对可查。
  • 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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
skill-writer

技能作家 · 本页

1,42335,671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

Skill Writer

Use this as the single canonical workflow for skill creation and improvement. Primary success condition: maximize high-value input coverage before authoring so the resulting skill has minimal blind spots.

Load only the path(s) required for the task:

TaskRead
Set skill class and required dimensionsreferences/mode-selection.md
Apply writing constraints for depth vs concisionreferences/design-principles.md
Select structure pattern for this skillreferences/skill-patterns.md
Select workflow orchestration pattern for process-heavy skillsreferences/workflow-patterns.md
Select output format pattern for deterministic qualityreferences/output-patterns.md
Choose workflow path and required outputsreferences/mode-selection.md
Load representative synthesis examples by skill typereferences/examples/*.md
Synthesize external/local sources with depth gatesreferences/synthesis-path.md
Author or update SKILL.md and supporting filesreferences/authoring-path.md
Optimize skill description and trigger precisionreferences/description-optimization.md
Iterate using positive/negative/fix examplesreferences/iteration-path.md
Evaluate behavior and compare baseline vs with-skill (opt-in quantitative)references/evaluation-path.md
Register and validate skill changesreferences/registration-validation.md

Step 1: Resolve target and path

  1. Resolve target skill path and intended operation (create, update, synthesize, iterate).
  2. Read references/mode-selection.md and select the required path(s).
  3. Classify the skill (workflow-process, integration-documentation, security-review, skill-authoring, generic).
  4. Ask one direct question if class or depth requirements are ambiguous; otherwise state explicit assumptions.

Step 2: Run synthesis when needed

Read references/synthesis-path.md.

  1. Collect and score relevant sources with provenance.
  2. Apply trust and safety rules when ingesting external content.
  3. Produce source-backed decisions and coverage/gap status.
  4. Load one or more profiles from references/examples/*.md when the skill is hybrid.
  5. Enforce baseline source pack for skill-authoring workflows.
  6. Enforce depth gates before moving to authoring.

Step 3: Run iteration first when improving from outcomes/examples

Read references/iteration-path.md first when selected path includes iteration (for example operation iterate).

  1. Capture and anonymize examples with provenance.
  2. Re-evaluate skill behavior against working and holdout slices.
  3. Propose improvements from positive/negative/fix evidence.
  4. Carry concrete behavior deltas into authoring.

Skip this step when selected path does not include iteration.

Step 4: Author or update skill artifacts

Read references/authoring-path.md.

  1. Write or update SKILL.md in imperative voice with trigger-rich description.
  2. Create focused reference files and scripts only when justified.
  3. Follow references/skill-patterns.md, references/workflow-patterns.md, and references/output-patterns.md for structure and output determinism.
  4. For authoring/generator skills, include transformed examples in references:

- happy-path - secure/robust variant - anti-pattern + corrected version

Step 5: Optimize description quality

Read references/description-optimization.md.

  1. Validate should-trigger and should-not-trigger query sets.
  2. Reduce false positives and false negatives with targeted description edits.
  3. Keep trigger language generic across Codex and Claude.

Step 6: Evaluate outcomes

Read references/evaluation-path.md.

  1. Run a lightweight qualitative check by default (recommended).
  2. For integration/documentation and skill-authoring skills, include the concise depth rubric from references/evaluation-path.md.
  3. Run deeper eval playbook and quantitative baseline-vs-with-skill only when requested or risk warrants it.
  4. Record outcomes and unresolved risks.

Step 7: Register and validate

Read references/registration-validation.md.

  1. Apply repository registration steps.
  2. Run quick validation with strict depth gates.
  3. Reject shallow outputs that fail depth gates or required artifact checks.

Output format

Return:

  1. Summary
  2. Changes Made
  3. Validation Results
  4. Open Gaps

When to Use

Use this skill when tackling tasks related to its primary domain or functionality as described above.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

平台分布

Codex

36.95%
按下载量换算170

Claude

31.65%
按下载量换算146

Cursor

19.5%
按下载量换算90

Gemini CLI

9.79%
按下载量换算45

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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