nextclaw: Skill for Claude Code

.agents/skills/nextclaw-product-blog-storytelling/SKILL.md

nextclaw-product-blog-storytelling is a skill for Claude Code, Codex from Peiiii/nextclaw. It costs 59 tokens per session (1,966 once invoked), scanned A, original, MIT.

A writing guide for creating NextClaw product blog posts, website copy, release stories, and image briefs. It focuses on explaining product work with evidence, user tasks, and clear differences.

In plain words
What is it for?
It helps choose the right publication status, gather supporting evidence, write Chinese and English drafts, connect posts to releases, and update blog indexes and navigation when publishing.
Why use it?
It helps keep public writing accurate about what is finished, measured, drafted, or officially released, while avoiding claims that the evidence does not support.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is Peiiii/nextclaw's own configuration. It tells Claude Code and Codex how to work on nextclaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nextclaw configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Peiiii/nextclaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Peiiii/nextclaw/master/.agents/skills/nextclaw-product-blog-storytelling/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Peiiii/nextclaw

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for nextclaw-product-blog-storytelling

README.md
[![agentmods](https://agentmods.dev/badge/skills/peiiii/nextclaw/nextclaw-product-blog-storytelling/github.svg)](https://agentmods.dev/skills/peiiii/nextclaw/nextclaw-product-blog-storytelling)
Your own site
<a href="https://agentmods.dev/skills/peiiii/nextclaw/nextclaw-product-blog-storytelling"><img src="https://agentmods.dev/badge/skills/peiiii/nextclaw/nextclaw-product-blog-storytelling/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for nextclaw-product-blog-storytelling

Your own site · 80×15
<a href="https://agentmods.dev/skills/peiiii/nextclaw/nextclaw-product-blog-storytelling"><img src="https://agentmods.dev/badge/skills/peiiii/nextclaw/nextclaw-product-blog-storytelling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,966 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00059 $0.01966
Opus 5.5 $0.00024 $0.00786
Sonnet 5.5 $0.00012 $0.00393
Haiku 4.5 $0.00006 $0.00197

Measured 1mo ago against content hash df131aa2cf02, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nextclaw-product-blog-storytelling scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/nextclaw-product-blog-storytelling/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

产品博客叙事

候选与提前成稿

博客不必等到版本发布后才开始。用户明确要求写作,或 Delivery 判断一个已验证结果具备独立用户任务、可核查证据和公开叙事价值时,进入本 skill;changeset 本身不自动等于博客候选。

按事实成熟度选择一个状态:

  • 证据或产品边界尚未稳定:只报告候选主题和缺失证据,不创建正文;
  • 实现、Validation 与 Review 已稳定:可提前写入 docs/blog-drafts/YYYY-MM-DD-<topic>.blog-draft.md;
  • 获得正式发布授权:按实际发布日期迁入 apps/docs/zh/blog 与 apps/docs/en/blog,并同步 index、sidebar 和适用链接。

内部草稿不参与站点构建,也不代表文章已发布。草稿正文只保留未来读者需要看到的内容;候选判断、私有路径、测试会话 ID、发布步骤和内部取舍留在设计、迭代记录或协作回复中。实现或测量环境在成稿后变化时,发布前重新核对全部事实与指标。

需要随产品 changeset 一起发布时,草稿 frontmatter 写入 releaseBlogTarget: next-stable、releaseBlogChangeset 和 releaseBlogState: draft,changeset 使用 <!-- release-note-blog: docs/blog-drafts/<file>.blog-draft.md --> 绑定。发布准备时生成中英文正式文章、更新 index/sidebar,并把草稿状态改为 ready、补充 releaseBlogZhPath 与 releaseBlogEnPath。NPM 达到 NPM_READY 后,产品发布闭环会阻断仍处于 draft 或缺少正式入口的绑定文章;线上验证完成后再删除内部草稿。

发布关联的功能、优化和结果博客默认采用短篇结果营销稿:标题先写产品、成果和最强可核查数字,首屏直接回答“做成了什么、效果如何”;实现原理只保留理解结果所需的最少内容。只有用户明确要技术复盘、原理说明或产品判断时,才展开为科普或长文。标题可以强,但不能超出测量范围或把开发版本写成已发布。

写作流程

宣传内容的有效吸引门

官网、广告式短文与品牌故事先判断题材是否值得表达,再润色。目标是在有限注意力内,让尽可能多的潜在用户理解与自己有关的真实价值,产生进一步了解或尝试的意愿;不是平均好感、信息量或无关点击。此门不强加给技术说明与状态报告。

  • 先冻结一句“哪些潜在用户共同在意什么→产品如何回应→用什么可核查细节证明→希望他下一步做什么”。群体不同先找共同处境,不堆场景列表,也不把单一故事当成整个产品。
  • 场景选择须对应用户明确的目标受众或可说明的需求假设;不能因为亲情等题材容易写就认定有代表性。受众假设被用户否定时先退场该题材,不继续用通用标题包装原故事;年龄本身不证明某个需求普遍。
  • 对候选问:去掉亲情、猎奇和氛围,产品价值还在吗?换掉产品名字后是否仍是空泛好话?结果配得上承诺吗?访客能记住哪一个具体变化?可迁移到竞品不等于没价值,但不能冒称独有。
  • 文字、视觉与动作共享一条因果链;交互应帮助理解、证明协作或兑现结果,不能靠多点几次消耗注意力。先给最重要的意思,证据按需展开。
  • 概念、示例和未上线能力必须可辨识;不靠虚构事实、夸大自主程度或与产品无关的情绪吸引。不能把完整、流畅、漂亮当成有效吸引的证据。
  • 无真实用户数据时,只给出可反驳的吸引假设与AI审查结论。后续用同条件的少量目标用户比较“以为它是什么、记住什么、为何愿意继续”,再观察适用的真实行为;不伪造覆盖率或转换提升。题材本身无力时允许放弃,不继续包装。
  1. 对齐 docs/VISION.md,明确主题服务统一入口、能力编排、自感知、自治、自进化或生态扩展中的哪一点。 对长期个人搭档及关联产品,先检查是否表达了对同一个人的持续理解:任务只是上下文的一部分,项目、想法、学习、资讯和长短期规划之间的有意义联系也能构成证据。不能把单任务高效交付直接等同于全部定位;思考、讨论与调整理解不必强行收束到执行成果。
  2. 从代码、文档、真实 UI、事件链路、发布记录或用户反馈找证据。证据不足的内容写成方向,不写成已完成事实。
  3. 先选传播目标:发布关联的功能与优化使用结果营销短稿;状态报告使用结果摘要;只有用户明确要求时才写观点、科普或长篇故事。
  4. 用一句话冻结核心事实,再写它支撑的具体用户任务;模型接入、安装 skill、连接渠道等能力入口本身不是用户任务。
  5. 比较竞品前固定产品与版本,使用官方一手资料建立 能力 | NextClaw | 对方 | 结论。对方同样具备的能力不能继续称独有优势;文档未提及也不能断言不存在。
  6. 区分“自身已有能力、产品重要特点、相对差异”,再核对控制边界、执行层、生命周期、组合方式和成熟度。
  7. 写明能力边界和下一步,不把底座、方向或概念图包装成现成功能。
  8. 公开正文由 Wiki 中的用户内容边界约束;分类过程、模板解释和取舍理由留在协作材料,不进入发布稿。

Read the full file on GitHub · 87 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · +14 lines · -1 tokens per session df131aa2cf02
  2. 1mo ago Changed e3560bf140a9
  3. 2mo ago First seen · 73 lines · 60 tokens per session scan A 51171e20d9ce

Subscribe to this mod's changes

nextclaw-product-blog-storytelling is a skill published in the GitHub repository Peiiii/nextclaw (263 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,966 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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