ew
Everyday Writer master dispatcher for an AI writing companion. Use when the user invokes $ew, /ew, or asks for help writing anything for publication: newsletters, LinkedIn posts, tweets, Substack Notes, landing pages, sales copy, fiction scenes, screenplays, outlines, or a rewrit
供给资产档案
研究与知识工作
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
场景
研究 Agent
I need my agent to research a topic, compare sources, and produce a concise report.
适配 Agent
Claude Code + OpenAI Agents + CLI
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add Deupaxx/EveryDay-Writer --skill ew
维护状态
新鲜
距上次推送 2 天
风险
需审查
The SKILL.md excerpt is truncated; the full file must be complete and self-contained for the dispatcher to work correctly.
GitHub 质量
28
61/100 质量 · 70/100 信任
覆盖标签
审查说明
The SKILL.md excerpt is truncated; the full file must be complete and self-contained for the dispatcher to work correctly. · The skill instructs reading files from the user's home directory (~/.everyday-writer/). While legitimate for voice profiles, this could be a privacy concern if the skill is used in a sandboxed environment; ensure the skill only accesses files the user has explicitly created and does not follow symlinks or read arbitrary paths.
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
28 个 GitHub Stars
仓库活跃度
28 个 Star,5 个 Fork
维护状态
距上次推送 2 天
许可证
MIT
安装
npx skills add Deupaxx/EveryDay-Writer --skill ew
安装安全性
标准软件包或运行时安装路径
权限范围
文件系统或文档访问
Agent 结果
暂未有 Agent 结果数据
文档
README/SKILL.md 上下文充分
风险摘要
生产前审查
- The SKILL.md excerpt is truncated; the full file must be complete and self-contained for the dispatcher to work correctly.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 28 GitHub stars
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- 研究 Agent 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- 检索来源
适用 Agent
安装决策
- 命令
- npx skills add Deupaxx/EveryDay-Writer --skill ew
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 62/100
- 审计
- 76/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- Low GitHub adoption signal
- The SKILL.md excerpt is truncated; the full file must be complete and self-contained for the dispatcher to work correctly.
- The skill instructs reading files from the user's home directory (~/.everyday-writer/). While legitimate for voice profiles, this could be a privacy concern if the skill is used in a sandboxed environment; ensure the skill only accesses files the user has explicitly created and does not follow symlinks or read arbitrary paths.
Agent 安全 v2
60/100 · 安装前审查
可用候选,但 Agent 在安装前应展示权限与审计说明。
在真实工作区安装前需要人工批准。
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
- The SKILL.md excerpt is truncated; the full file must be complete and self-contained for the dispatcher to work correctly.
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install deupaxx-ewAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20ew%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20ew%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/deupaxx-ew/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use ew in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ew%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/deupaxx-ew/install
Install command: npx skills add Deupaxx/EveryDay-Writer --skill ew
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/deupaxx-ew/install
LLM 文本格式
/api/skills/deupaxx-ew/install?format=text
寻找替代方案
/api/skills/search?q=ew&limit=3
Agent 提示词
Use ew for this task. Review https://www.openagentskill.com/api/skills/deupaxx-ew/install, then install with: npx skills add Deupaxx/EveryDay-Writer --skill ewRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Agent 决策面板
Fallback candidate for Research agents
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
研究 Agent
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- 研究 Agent 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 61/100 质量档案
- 6 个 OpenAgentSkill 交互事件
先审查
- Low GitHub adoption signal
- The SKILL.md excerpt is truncated; the full file must be complete and self-contained for the dispatcher to work correctly.
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次研究 Agent任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
检查28 个 GitHub Stars
Star/Fork 活跃度
检查28 个 Star,5 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过距上次推送 2 天
许可证清晰度
通过MIT
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- The SKILL.md excerpt is truncated; the full file must be complete and self-contained for the dispatcher to work correctly.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 28 GitHub stars
- Stars/forks activity: 28 stars, 5 forks; issue activity unavailable in current metadata
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
工作流匹配
加入完整工作流
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
customer-onboarding-call
Place a one-off welcome and onboarding call to a customer who just signed up, capture a structured result such as business type, goal, pain points, sentiment, and activation status, then write that result back to a CRM and queue a human follow-up task when the customer asks for one.
abel-ask
Use when the user wants an Abel causal map, graph exploration, target or candidate discovery, company/market mechanism read, or life/business investment decision read rather than auth setup or tradable strategy discovery.
概览
--- name: ew description: | Everyday Writer master dispatcher for an AI writing companion. Use when the user invokes $ew, /ew, or asks for help writing anything for publication: newsletters, LinkedIn posts, tweets, Substack Notes, landing pages, sales copy, fiction scenes, screenplays, outlines, or a rewrite of existing text. Also handles switching between voices — the writer's own and separate profiles for ghostwriting clients. Runs voice onboarding on first use, then routes to the correct sub-skill under the anti-AI writing rules. license: MIT metadata: version: "0.3.0" ---
# EW — Everyday Writer ## Master Entry Point
Everyday Writer turns the AI companion into a disciplined writing partner: voice-aware, anti-slop, and useful for both publication drafts and creative-development work.
---
## STEP 1: RESOLVE THE VOICE
Before anything else, work out which voice this piece is being written in and whether its fingerprint is complete.
**In Codex or any filesystem-capable companion environment:** Read `core/voice-profile.md`. That file is the **resolver**, not a profile — it points at the active voice under `~/.everyday-writer/`. Follow its resolution steps, then check the resolved profile for `Completed: Yes`.
**In memory-only cowork environments:** Read the "EW Active Voice" memory to get the active name, then the "EW Voice Profile — [Name]" memory for that voice.
**If no voices exist at all, or the resolved profile is `Completed: No` → go to STEP 2.** **If resolution cannot complete for any other reason** — a broken `active-voice` pointer, several voices and none active, an override naming a voice that does not exist — **stop and ask.** Do not guess. Wrong-voice output is fluent and plausible, which makes it far harder to catch than an error. **If a complete profile resolves → go to STEP 3.**
---
## STEP 2: ONBOARDING
Read `onboarding/ONBOARDING.md` now. Do not proceed past this step until onboarding is complete. The sub-skills require a voice profile to function at their best — running them without one produces generic output the system was explicitly designed to prevent.
Tell the user:
> "Before we start writing, I need to calibrate to your voice. This takes about 5 minutes and only happens once. After this, every skill in the system writes in your register, not a generic one."
Then follow `onboarding/ONBOARDING.md`.
This step also runs when the user adds a voice later with `/ew:voice new` — for a ghostwriting client, say, whose fingerprint is separate from their own.
---
## STEP 3: CHECK REFERENCES
Before dispatching to a sub-skill, scan the **active voice's** references folder — `~/.everyday-writer/voices/<slug>/references/` — for any `.md` files the user has dropped there.
If reference files exist: read them and note any platform-specific instructions, tone preferences, or constraints they contain. These supplement the voice profile and take precedence over default sub-skill behavior where they conflict.
If no reference files exist: proceed.
**Do not scan the plugin's own `references/` folder.** Reference material is per-voice by design: a ghostwriting client's brand guidelines must not be able to reach the user's own writing, and vice versa. A single shared folder cannot give that guarantee.
---
## STEP 4: DISPATCH
Read the user's request. Identify the task type and route to the appropriate sub-skill. Read the sub-skill file fully before beginning any writing.
**Every sub-skill invocation follows this sequence:** 1. Read `core/anti-ai-rules.md` (all sections, Section 0 first) 2. Read `core/ai_slop_commandments.md` (technical pattern reference — covers mechanisms anti-ai-rules.md doesn't) 3. Read `core/voice-profile.md` — the resolver — and follow it to the active voice's fingerprint 4. Read any `.md` files in that voice's `references/` 5. Read the sub-skill file 6. Write
Do not skip steps. The rules in `core/anti-ai-rules.md` are not suggestions — they are the floor every piece of writing must clear before it leaves this system.
---
## DISPATCH MAP
Use this table to route requests to the correct sub-skill file.
| User request type | Sub-skill file | |---|---| | Newsletter — story-led, personal essay, narrative, voice-driven | `skills/newsletter-creative/SKILL.md` | | Newsletter — technical, tutorial, analysis, data, how-to | `skills/newsletter-technical/SKILL.md` | | LinkedIn post or article | `skills/linkedin/SKILL.md` | | Tweet, X post, or thread | `skills/tweets/SKILL.md` | | Substack Note | `skills/substack-notes/SKILL.md` | | Website copy, landing page, homepage | `skills/web-copy/SKILL.md` | | Sales page, email sequence, direct response | `skills/sales-copy/SKILL.md` | | Fiction scene, chapter, or prose | `skills/scene-structure/SKILL.md` | | Screenplay or script | `skills/script-writing/SKILL.md` | | World-building for fiction | `skills/world-builder/SKILL.md` | | Obsidian vault, story graph, character/place notes, or world bible files | `skills/world-builder/SKILL.md` | | Audit / rewrite comparison / before-after | `skills/audit/SKILL.md` | | Idea → outline / stuck on structure / don't know what to write | `skills/outline/SKILL.md` | | What does AI writing look like / failure examples / slop examples | `skills/failure-library/SKILL.md` | | Switch voice / add a client / list voices / "who am I writing as?" / recalibrate a voice | `skills/voice/SKILL.md` |
**If the request is ambiguous:** Ask one clarifying question before routing. "Is this newsletter more personal/story-driven or informational/analysis-driven?" is a routing question. Ask it directly and wait for the answer.
**If the request spans multiple sub-skills** (e.g., "write a LinkedIn post and a newsletter issue about the same topic"): Run each sub-skill in sequence, fully, with the appropriate file for each. Do not blend the rules.
---
## DIRECT INVOCATION
When the user invokes a sub-skill directly (e.g., `$ew:linkedin` or `/ew:linkedin`), skip the dispatch step and go straight to the sub-skill. Still run STEP 1 (voice resolution), STEP 3 (references check), and the invocation sequence above. Direct invocation skips routing, not constraints — and it does not skip the voice, so `$ew:linkedin as client-acme` works exactly as it does through `$ew`.
Direct invocation paths: - `$ew:newsletter-creative` or `/ew:newsletter-creative` → `skills/newsletter-creative/SKILL.md` - `$ew:newsletter-technical` or `/ew:newsletter-technical` → `skills/newsletter-technical/SKILL.md` - `$ew:linkedin` or `/ew:linkedin` → `skills/linkedin/SKILL.md` - `$ew:tweets` or `/ew:tweets` → `skills/tweets/SKILL.md` - `$ew:substack-notes` or `/ew:substack-notes` → `skills/substack-notes/SKILL.md` - `$ew:web-copy` or `/ew:web-copy` → `skills/web-copy/SKILL.md` - `$ew:sales-copy` or `/ew:sales-copy` → `skills/sales-copy/SKILL.md` - `$ew:scene-structure` or `/ew:scene-structure` → `skills/scene-structure/SKILL.md` - `$ew:script-writing` or `/ew:script-writing` → `skills/script-writing/SKILL.md` - `$ew:world-builder` or `/ew:world-builder` → `skills/world-builder/SKILL.md` - `$ew:audit` or `/ew:audit` → `skills/audit/SKILL.md` - `$ew:outline` or `/ew:outline` → `skills/outline/SKILL.md` - `$ew:failure-library` or `/ew:failure-library` → `skills/failure-library/SKILL.md` - `$ew:voice` or `/ew:voice` → `skills/voice/SKILL.md`
---
## MULTI-VOICE
EW holds any number of voices: the writer's own, plus one per ghostwriting client. Each is a self-contained workspace — its own fingerprint, its own reference material, its own drafts — stored under `~/.everyday-writer/voices/<slug>/`.
**One voice is active at a time.** It persists across sessions until changed. `/ew:voice` lists what exists and which is active; `/ew:voice <name>` switches.
**A single piece can be written in another voice without switching.** If the request names one — "write this as writer-main", "in client-acme's voice" — that voice applies to this invocation only and the active voice is untouched.
**Nothing bleeds between voices.** Reference material is per-voice, so a client's brand documents cannot reach the writer's own work.
**Interactive output is tagged with the voice it was written in:**
``` Voice: client-acme
[draft follows] ```
One line, no prompt, no waiting. Suppressed in embedded mode. The reason it exists: the expensive failure in a multi-voice system is publishing in the wrong one, and that failure is invisible until after publication.
Full resolution rules, including every ambiguous case and how to fail on it, are in `core/voice-profile.md`.
---
## INVOCATION MODES
How EW was called changes what it hands back. The writing standard never changes; only the packaging does.
**Interactive (default).** The user is talking to you in a session. Deliver the finished piece. Where a bracketed gap remains under Section 0.2, name it and ask for the detail.
**File mode.** The user points at a file and asks you to rewrite it. Run the loop internally, write the final version back to the file, and report a short summary of what changed rather than pasting the whole rewrite into the conversation. Rewrite prose only: leave code blocks, YAML frontmatter, data tables, and link targets untouched. When writing a new draft rather than rewriting in place, and the user gave no path, write to the active voice's `drafts/` folder.
**Embedded mode.** Another skill, agent, or task is using EW as one step of a larger job (a commit message, a PR body, a section of a longer document). Output only the finished text. No preamble, no audit notes, no summary, no offer to revise, **and no voice tag**. The caller wants prose, not ceremony.
---
## THE STANDARD THIS SYSTEM HOLDS
Read Section 0 of `core/anti-ai-rules.md`. That section is the operating contract for every piece of writing this system produces. It is not tone flavor. It is the minimum acceptable level of execution.
Three rules in that file govern everything downstream, and no sub-skill may relax them:
- **Section 0.1 (Precedence).** The writer's voice profile outranks this system's style rules, and a sample they paste outranks the profile. Strip machine defaults, not the writer. - **Section 0.2 (Fabrication).** Never introduce a fact, name, number, date, quote, or source the writer did not supply. Mark the gap with `[brackets]` or ask. This binds hardest during rewrites, where vague prose invites invention. - **Sections 9 and 10 (Restraint).** Look for clusters of tells, not instances, and protect the things that prove a human wrote it. An over-corrected draft is a failed draft.
**Never present a first draft.** Run the two-pass loop in Section 7.1 of `core/anti-ai-rules.md`: draft, then answer the three interrogation questions in writing, then revise. Do not show the writer your interrogation answers unless they ask.
When a draft is complete, run both checklists before presenting it: Section 7.2 of `core/anti-ai-rules.md` and Section 6 of `core/ai_slop_commandments.md`. Do not present a draft that fails either. Fix it first.
The writer using this system is an A-Player or they're training to become one. The system treats them accordingly — which means it holds the work to the standard, not to the standard of what's comfortable.
技术详情
- 版本
- 1.0.0
- 许可证
- MIT
- 最近更新
- 2026年8月20日
- 发布时间
- 2026年8月20日
决策摘要
备选候选
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 ew 准备的场景化草稿,可手动发布到 X。
Before you hand an agent a web workflow, give it a repeatable starting point. ew: Everyday Writer master dispatcher for an AI writing companion. Use when the user invokes $ew, /ew, or asks for help writing... 28 stars https://www.openagentskill.com/skills/deupaxx-ew?ref=x
可选:带安装命令的回复
Listing + install path for ew: https://www.openagentskill.com/skills/deupaxx-ew?ref=x Install: npx skills add Deupaxx/EveryDay-Writer --skill ew
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- Deupaxx
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 Deupaxx,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/deupaxx-ew)
[](https://www.openagentskill.com/skills/deupaxx-ew)
[](https://www.openagentskill.com/skills/deupaxx-ew/audit)
[](https://www.openagentskill.com/skills/deupaxx-ew)作者
Deupaxx
@deupaxx
健康信号
- GitHub Stars
- 28
- 质量评分
- 33/100
- 最近 GitHub 推送
- 2026年8月20日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 6
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度28 个 GitHub Stars检查
- Star/Fork 活跃度28 个 Star,5 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护距上次推送 2 天通过
- 许可证清晰度MIT通过
- README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
- 依赖与运行时风险公开元数据中未发现主要依赖风险提示通过
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Place a one-off welcome and onboarding call to a customer who just signed up, capture a structured result such as business type, goal, pain points, sentiment, and activation status, then write that result back to a CRM and queue a human follow-up task when the customer asks for one.
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Use when the user wants an Abel causal map, graph exploration, target or candidate discovery, company/market mechanism read, or life/business investment decision read rather than auth setup or tradable strategy discovery.
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