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Agent Skill · 研究检索

writer-agent(作家经纪人)

writer-agent 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。

writer-agent 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 40,499。

总安装 1,283周安装 54GitHub Stars 公开资料未说明下载 449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:writer-agent(作家经纪人)
来源仓库:https://github.com/hoangvantuan/claude-plugin
仓库路径:skills/writer-agent
安装命令:
npx skills add https://github.com/hoangvantuan/claude-plugin --skill writer-agent
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/hoangvantuan/claude-plugin --skill writer-agent

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。

writer-agent 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。适用于研究检索类任务,可结合来源仓库、安装命令和原始 README 继续核验具体用法。

通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和维护状态。安装前建议确认是否会触发联网、命令执行或文件读写,避免误操作生产数据。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/writer-agent

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/hoangvantuan/claude-plugin --skill writer-agen…;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

writer-agent 怎么安装?

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

writer-agent 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。

writer-agent 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。

writer-agent 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。

writer-agent 用的人多吗?

公开数据是累计安装 1,283 次,近一周安装 54 次,下载 449 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。

writer-agent 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
writer-agent

作家经纪人 · 本页

1,283—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

Writer Agent

Transform documents and URLs into styled article series.

Quick Reference

ReferencePurposeLoad at StepDPT1T2T3
directory-structure.mdOutput folder layoutStep 1✓✓✓✓
dimension-selection.mdCustom mode dimension tablesStep 2 (Custom)✓✓✓✓
decision-trees.mdWorkflow decision guidesOn confusion only✓✓✓✓
retry-workflow.mdError recovery proceduresOn error only-✓✓✓
large-doc-processing.mdHandling documents >50K wordsStep 3 (if >20K)--✓✓
article-writer-prompt.mdSubagent prompt templatesStep 4-✓✓✓
context-extractor-prompt.mdContext extraction templateStep 3 (Tier 2)--✓-
context-optimization.mdContext optimization anti-patternsStep 3.1-✓✓✓
detail-levels.mdOutput detail level optionsStep 2.5✓✓✓✓
shared-article-writing.mdShared Steps 4.0-4.6Step 4-✓✓✓

DP = Direct Path | T1-T3 = Tier 1-3 | ✓ = Load | - = Skip

Tier Workflow Files (loaded at Step 2.7 after tier determination):

TierFileWhen
Direct Pathtier-direct-path.md<20K OR (<50K AND ≤3 articles)
Tier 1tier-1-workflow.md20K-50K (fails Direct Path)
Tier 2tier-2-workflow.md50K-100K
Tier 3tier-3-workflow.md>=100K

Dimension files (loaded at Step 2): voices/{voice}.md, structures/{structure}.md, identities/{identity}.md, audiences/{audience}.md, emotional_maps/{emotion}.md

Workflow Overview

Direct Path (<20K words OR <50K words with <=3 articles):

Main agent writes all articles directly without subagents.

Input → Convert → Style/Structure → Plan → Write(main) → Synthesize → Verify
  1        1           2               3        4            5           6

Standard (Tier 1-2, 20K-100K words):

Input → Convert → Style/Structure → Analyze → Extract → Write → Synthesize → Verify
  1        1           2               3         3         4        5           6

Fast Path (Tier 3, >=100K words):

Input → Convert → Style/Structure → Plan → Write(parallel) → Synthesize → Verify
  1        1           2              3          4              5           6

Step 0: Resolve Skill Paths (BẮT BUỘC)

Tìm wa-env → chạy → dùng paths tuyệt đối cho toàn bộ workflow.

# Tìm wa-env (thử Glob trước, fallback find nếu plugin installed vào dotdir)
Glob("**/writer-agent/scripts/wa-env")  # hoặc Glob(".claude/**/wa-env")

# Chạy (dùng bash, không dùng source — để BASH_SOURCE resolve đúng)
bash {path_to_wa-env}
# → SCRIPTS_DIR, SKILL_DIR, VOICES_DIR, STRUCTURES_DIR, IDENTITIES_DIR,
#   AUDIENCES_DIR, EMOTIONS_DIR, TEMPLATES_DIR, REFERENCES_DIR

# Verify
assert Glob(f"{SCRIPTS_DIR}/wa-convert") and Glob(f"{VOICES_DIR}/*.md")
FAIL CONDITION: Không tìm thấy wa-env → STOP. KHÔNG tự suy đoán paths.

Step 1: Input Handling

GUARD: SCRIPTS_DIR đã resolve từ Step 0. Nếu chưa → STOP, quay lại Step 0.

Detect input type and convert to markdown.

Output language: Luôn là tiếng Việt, bất kể source language.

Input TypeDetectionAction
File (PDF/DOCX/EPUB/etc)Path + extensionwa-convert {path}
URL (web page)http:// or https://wa-convert {url}
YouTube URLyoutube.com or youtu.bewa-convert {url}
Plain text /.txt /.mdNo complex extensionRewrite → wa-paste-text

File/URL Conversion

{SCRIPTS_DIR}/wa-convert [/path/to/file.pdf or url]

Output: writer-agent/{slug}-{timestamp}/input-handling/content.md

Plain Text Processing

  1. Read content (if file)
  2. Rewrite to structured markdown (add headings, preserve content)
  3. Propose title
  4. Execute:
echo "{rewritten_content}" | {SCRIPTS_DIR}/wa-paste-text - --title "{title}"

Error Handling

ErrorAction
File not foundAsk for correct path
Unsupported formatTry Docling, confirm with user
URL fetch failedReport and stop
Empty contentWarn, confirm before continue
Encrypted PDFAsk for decrypted version

Step 2: Select Writing Dimensions

Hệ thống 5 chiều độc lập. User chọn preset combo hoặc Custom để mix-match tự do.

Preset Combos (Recommended)

Show bảng sau cho user, hỏi chọn preset hoặc "Custom":

PresetVoiceStructureIdentityAudienceEmotion
EducatorTeacherBuilding BlocksTech BuilderCurious BeginnersEmpower & Challenge
StorytellerStorytellerStory ArcContemplative ThinkerDeep SeekersReflect & Discover
AnalystObjectiveBLUF-EvidenceKnowledge CuratorBusy ProfessionalsEmpower & Challenge
ExplorerInvestigatorFive LayersKnowledge CuratorDeep SeekersProvoke & Transform
MentorGuideDepth-PracticeContemplative ThinkerCurious BeginnersReflect & Discover
ReflectorPersonalSpiral ReturnContemplative ThinkerDeep SeekersReflect & Discover
Zen MasterDialogueMaster-StudentContemplative ThinkerDeep SeekersReflect & Discover

Cách dùng: Hiển thị bảng trên → Hỏi user gõ tên preset (e.g. "Educator") hoặc "Custom".

  • Nếu chọn preset: Tất cả 5 dimensions đã set, skip đến Step 2.5
  • Nếu chọn Custom: Chuyển sang Step 2a-2f bên dưới (chọn từng chiều)
  • Adaptive structure: Dùng khi content mixed/không fit structures cố định. Chỉ available qua Custom mode hoặc user yêu cầu trực tiếp.

Custom Mode

Khi user chọn "Custom" → đọc dimension-selection.md để chọn từng chiều (Voice → Structure → Identity → Audience → Emotion) kèm compatibility check.

Step 2.5: Select Detail Level

Hỏi user để confirm output detail level.

LevelRatioDescription
Concise15-25%Tóm lược, giữ ý chính
Standard30-40%Cân bằng (Recommended)
Comprehensive50-65%Chi tiết, giữ nhiều ví dụ
Faithful75-90%Gần như đầy đủ, viết lại theo style

Default: Standard (if user skips or unclear). PASS/FAIL dựa trên section coverage, không phải word count.

Chi tiết calculation (target_ratio, example_percentage) và worked examples → detail-levels.md.

Step 2.6: Tier Reference Table

Canonical tier definitions (referenced throughout documentation):

TierWord CountStrategyContext ApproachGlossarymax_concurrent
Direct Path<20K OR (<50K AND ≤3 articles)Main agent writes allN/A (no subagents)Inline (~200 words)N/A
Tier 120K-50K (fails Direct Path)Subagents read source directlyNo context filesInline (~200 words)3
Tier 250K-100KSmart compressionContext extractorsSeparate file (~600 words)3
Tier 3>=100KFast Path, minimal overheadNo context filesInline (~300 words)2

Priority rules:

  • Direct Path conditions are checked FIRST and override tier boundaries
  • Documents 20K-50K with ≤3 articles use Direct Path (not Tier 1)
  • Only documents failing Direct Path conditions fall through to tier selection
Note: Direct Path <50K condition is further limited by language: EN ~44K, VI ~32K, mixed ~38K words. These limits are pre-computed in structure.json → direct_path.capacity_ok. If capacity exceeded, fallback to Tier 1.

Key differences:

  • Direct Path: Main agent handles everything (no subagents)
  • Tier 1: Lightweight subagents, read source via line ranges
  • Tier 2: Context extraction for compression (only tier with separate glossary file)
  • Tier 3: Like Tier 1 but larger chunks, more selective glossary, lower concurrency

Step 2.7: Load Tier Workflow (BẮT BUỘC)

Sau khi xác định tier từ Step 2.6, đọc file workflow tương ứng:

tier = determine_tier(structure_json)  # Từ structure.json

if tier == "direct_path":
    Read(f"{SKILL_DIR}/references/tier-direct-path.md")
elif tier == 1:
    Read(f"{SKILL_DIR}/references/tier-1-workflow.md")
elif tier == 2:
    Read(f"{SKILL_DIR}/references/tier-2-workflow.md")
elif tier == 3:
    Read(f"{SKILL_DIR}/references/tier-3-workflow.md")

Tier workflow file chứa Steps 3-4. Sau khi hoàn thành Step 4, load references/steps-5-6-synthesize-verify.md cho Steps 5-6.

FAIL CONDITION: Nếu không load tier workflow file → KHÔNG biết cách xử lý Steps 3-4 cho tier đó. STOP và load file đúng.

平台分布

Codex

36.95%
按下载量换算166

Claude

27.03%
按下载量换算121

Cursor

19.67%
按下载量换算88

Gemini CLI

8.79%
按下载量换算39

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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