Polish a technical blog draft into an 800–1000 word, 3–4 section zh-CN article, preserve technical terms/code, and generate consistent hero + per-section image prompts when the user asks to polish and translate a blog with images.
发布者
j3ffyang 发布的技能
已发布 53 个技能,累计 360 次安装。
Generate video from supplied image using Veo-3.0 async API. Gemini vision analyzes image, Veo creates video via predictLongRunning. All outputs in ~/.openclaw/workspace/tibetanProc/ with yymmddHHMM prefix.
Read a plain Markdown file (e.g. 260321_openclawConfig.md), generate header and section images using the default OpenClaw image model and API key from ~/openclaw/.env, create a new *_img.md copy with embedded PNGs, and move all generated images into an img/ folder next to the original file.
Polish a technical blog draft into a 1000–1200 word, 4–5 section en-US article, preserve technical terms/code, and generate one consistent hero image prompt.
Help the user draft, review, and polish blog posts in Markdown, keeping the original languages and informal tone.
Generate a daily AI news newsletter from fresh web sources. Use when the user asks for a current AI digest, AI news roundup, curated newsletter, or daily AI...
Generate a daily AI news newsletter for a Chinese audience from fresh web sources, summarizing current AI/ML articles into Markdown and JSON with Simplified...
Polish a technical blog draft into an 1000–1200 word, 4-5 section en-US article, preserve technical terms/code, and generate consistent hero + per-section im...
Edit, polish, and improve a blog post draft written in Markdown. Use this skill whenever the user wants to refine a blog draft — fixing grammar, improving cl...
Polish a technical blog draft into an 1000–1200 word, 4-5 section en-US article, preserve technical terms/code, and generate consistent hero + per-section im...
Generates authentic Tibetan cinematic videos (9:16) via Google Veo from user image + exactly 3 Chinese theme words. STRICT output: ~/.openclaw/workspace/tibe...
Write, polish, and cite Chinese-language articles on Chinese history, literature, and culture (Five Dynasties & Ten Kingdoms, silk, Dream of the Red Chamber, 洛神赋, 脂砚斋, etc.). Use when the user shares their own outline, notes, or stream-of-thought for a 中文历史/文学/文化 article and wants the agent to follow that thought-flow (must), expand with web research, and produce a polished, well-cited draft. Output is in Chinese (simplified by default); source material may be in any language. Covers creation, polishing, fact-checking, and source selection.
Generate a professional infographic from an article, document, URL, or topic, using the baoyu layout x style system (21 layouts x 21 styles). Original author 宝玉 (JimLiu); ported & customized by j3ffyang. Use when the user asks to create an infographic, 信息图, visual summary, 可视化, or a high-density information image, or wants an article turned into a visual poster.
以 Hermes 作文代理(essay agent)的方式,产出关于「绫罗绸缎」的深度文章框架。本文案代理不产出最终文章,而是提供结构、角度与检索策略。
Research and write a comprehensive analysis on "Ode to the Goddess of Luo River" (洛神赋) focusing on its literary significance, cultural context, historical influences in Chinese literature (especially Dream of the Red Chamber and Zhi Yanzhun's commentary), philosophical dimensions (Chan Buddhism), and its portrayal of feminine beauty. Output in Simplified Chinese with proper citations, textual annotations, and scholarly consensus.
Generate a ~10000-word research article in Simplified Chinese investigating the identity of Zhiyanzhai (脂砚斋), the anonymous commentator on "Dream of the Red Chamber" (红楼梦), covering literary, historical, and poetic dimensions.
Generate a daily AI news digest newsletter from fresh web sources. Use this skill whenever a user asks for AI news, wants a roundup or summary of recent AI/ML developments, asks what happened in artificial intelligence today or this week, requests a newsletter, briefing, or digest of model releases, research papers, funding rounds, product launches, regulation, or benchmark results — even if they don't explicitly say "newsletter." Also use for follow-up requests like "more AI news" or "catch me up on AI."
Convert and polish a Markdown article into AstroPaper-compatible post format for the astro_journal blog (everbox.io). Use when the user wants to publish or sync an article (e.g. from ai-thoughts/docs/ or history/docs/) to the Astro blog, convert Markdown to Astro format, add AstroPaper frontmatter, or move images into src/assets/images/.
Translate a specific article from ai-thoughts/docs/ into Simplified Chinese, writing the output to an exactly-same-filename "-chn.md" file. Use when the user names a specific article and asks to translate it (e.g. "translate 260803-ollama-to-llamacpp", "翻译 xxx", "make a -chn.md version"). Never runs automatically; only acts on an explicitly chosen article.
Translate a specific article from ai-thoughts/docs/ into Simplified Chinese, writing the output to an exactly-same-filename "-zh-hans.md" file. Use when the user names a specific article and asks to translate it (e.g. "translate 260803-ollama-to-llamacpp", "翻译 xxx", "make a -zh-hans.md version" — or the legacy "make a -chn.md version"). Never runs automatically; only acts on an explicitly chosen article.
Publish SKILL.md files to ClawHub (clawhub.ai) and diagnose publish failures across the three skill repos (history, ai-custom-skills, ai-thoughts). Use when the user wants to publish skills to ClawHub, manually trigger a publish, check why a publish failed or was skipped, or understand the ClawHub skill sync pipeline.
Research and write a timeline-driven long-form article on the Five Dynasties and Ten Kingdoms (五代十国, c. 907–979) in Simplified Chinese, with citations and map links. Use when the user asks for 五代十国 history, 太平年 background, or a ~5000字 spoken-narrative history piece.
Hey, this skill polishes your blog draft in markdown. Fixes spelling, grammar, adds clarity if needed, keeps it simple and original language. Asks before big...
Download and save Perplexity.ai conversations as individual Markdown files. One thread = one .md file. Processes threads sequentially. Supports single thread, URL lists, or full history export. Triggers on "download perplexity thread", "export perplexity history", "save all perplexity threads", or any request to capture Perplexity conversations.
Polish and translate a technical blog draft into a 1200–1400 word, 4-5 section Markdown article in Simplified Chinese (zh-CN), preserving technical terms and code blocks.
Generate a narration script (voiceover + shot list + per-clip visual prompts + music cues) for a personal travel-story video or essay, from a thought-flow master skill and the author's own photos. Use when the user wants "a script", "旁白脚本", a storytelling/故事化 script for a video, or asks to turn a personal travel story (e.g. the death-in-Mexico project) into a narrated video or essay. Output is Simplified Chinese first-person storytelling, engine-agnostic in voiceover and timing, engine-specific in clip prompts. Never runs automatically; acts only when the user asks for a script.
Convert a Simplified-Chinese article in ai-thoughts/docs/ into its Traditional-Chinese twin, and keep the two in sync. The Simplified article is the source of truth and lives as <YYMMDD-slug>-zh-hans.md; the Traditional twin is generated to <YYMMDD-slug>-zh-hant.md with OpenCC (s2twp) plus a permanent cross-link. Use when the user asks to make, sync, or update the Traditional (繁體) version of a Chinese article — "convert to traditional", "做繁體版", "同步繁简", "zh-hant", "繁體". Never runs automatically; acts only on an explicitly named article. Future articles only — do NOT backfill existing files unless the user explicitly orders it.
Read an attached Markdown document, analyze and summarize it, then generate a minimalist image from the summary using the default image model. Ask the user for aspect ratio when needed, and support social-banner formats such as 5:2 and 5:4. Use when the user wants a document turned into a simple tutorial-style visual with handwritten whiteboard aesthetics.
Generate a daily AI news newsletter for a Chinese audience from fresh web sources. Return the newsletter body and article summaries in Simplified Chinese.
Research and write a comprehensive analysis on "Ode to the Goddess of Luo River" (洛神赋) focusing on its literary significance, cultural context, historical influences in Chinese literature (especially Dream of the Red Chamber and Zhi Yanzhun's commentary), philosophical dimensions (Chan Buddhism),
Polish a technical blog draft into an 1000–1200 word, 4-5 section en-US article, preserve technical terms/code, and generate consistent hero + per-section image prompts when the user asks to polish and translate a blog with images.
Zero-trust procedure for reviewing or running code from an unknown source. Use when reviewing, vetting, cloning, installing, or running code from an untrusted source (repo invites, packages, scripts, executable config files), when asked whether code is safe or hazardous, when executed code may read secrets/files or reach the network, and when the user says "raise hands", "stop and alert", or "sandbox it". Also trigger on suspicion of malicious, harmful, deceptive, cheating, or stealing behavior.
Apply ASD-STE100 Simplified Technical English to written instructions: one action per sentence, imperative mood, condition first, one name per item, short sentences, no semicolons. Use before writing or when auditing prompts, AGENTS.md, SKILL.md, READMEs, runbooks, checklists, and the technical steps of an article. For articles, enforce structure only and keep the essay voice; never flatten narrative prose. Report contradictions between rule files instead of silently choosing one.
The 8-stage collaboration loop for working with the user: INTENT, CONSTRAINTS, PROPOSE, PRESS, PRACTICE, INVESTIGATE, CODIFY, BOUNDARY-CHECK. Use when starting a new task (state intent and constraints up front), when proposing a plan (include options + a recommendation), when the user pushes back on a proposal, when something fails or looks broken and needs investigation, or when deciding whether to codify knowledge into an AGENTS.md rule or a SKILL.md procedure.
Analyze polished zh-CN blog markdown, generate hero + per-section image prompts, embed image placeholders into the markdown, and save updated version.
Use when maintaining RDR2 (Red Dead Redemption 2) playthrough notes — logging an acquisition ("acquired X", "got N gold bars", "finished X"), answering in-game location/crafting questions, or reviewing the notes for duplicate or stale info. Triggers on RDR2, Red Dead Redemption, playthrough, legendary animal, talisman, trinket, valerian root, gold bar, horse, weapon, berry.
Normalize indentation of a large reference text document (e.g. README.md) to a consistent TAB style while keeping content byte-identical. Use when asked to fix inconsistent leading spaces, align command blocks, or clean indentation spread across hundreds of lines in a prose-heavy, single-fence document. Built from the 2026-09 instguid README.md normalization session.
Polish and translate a technical blog draft into a 1000–1200 word, 4-5 section Markdown article in English and Simplified Chinese (zh-CN), preserving technic...
Exports all X/Twitter bookmarks into individual Markdown files with metadata.
Review and analyze a personal sell-or-hold decision for rental property against a stock or fixed-income alternative. Use when the user asks whether to sell rental condos or houses and move the money into investments, when comparing rent yield with fixed income, when modeling a 3-year sell-or-hold scenario with break-even returns, or when checking a personal investment assessment document. Covers Canadian tax concepts (Capital Cost Allowance (CCA), terminal loss, principal residence, personal-use losses) where the owner is a Canadian resident. Triggers: sell or hold, rental yield, net yield, cash flow, break-even, condo, strata fee, property tax, CCA, fixed income, ETF, concentration, 售房, 持有, 租金收益率, 固定收益.
使用知乎开放平台搜索知乎和全网内容、获取热榜、调用知乎直答,或读取当前用户自己的知乎创作、关注与收藏。用户提到知乎搜索、社区观点、真实经验、热点、热榜、知乎直答、我的知乎内容、我的关注、我的收藏、开放平台、API、MCP、Access Secret,或要求查看、安装和配置知乎 Skill 时使用。深度研究优先返回搜索原始来源;本人数据只读取完成任务所需的最小范围。
Generate textual descriptions of one or more images when the current session model (e.g. opencode/big-pickle) has no image input, by delegating to a vision-capable model on OpenRouter via `opencode run` with --file. Use when the user drops photos into imgs/, asks "can you read/describe these images", or an image needs a description for an article, portfolio, infographic, or video pipeline. Related terms: 看图, 描述图片, image description, vision model, glm-4.6v, --file.
读取 ~/.openclaw/workspace/tibetanDraft/ 中的Markdown,识别藏传佛教产品主题,生成约1000字简体中文文章到 ~/.openclaw/workspace/tibetanProc/。 只写藏传佛教,事实需网络核验,含至少3章节+主图+章节图。文件名用时间戳格式。 Read...
Sync a production config file (e.g. hyprland.lua.gpd) against the latest upstream sample (e.g. hyprland.lua.260917) by copying only reference info/URL comments while preserving the user's actual configuration. Use when the user drops a freshly downloaded sample alongside a live config, mentions keeping the newest sample as the diff baseline, or wants only real config differences to remain visible in diff.
一套可复用的内容创作思维框架,用于构建具有说服力和情感层次的文章。
Resize an image into a Twitter/X header banner (5:2, 1500x600) using ImageMagick. The image is rescaled to fit and the leftover space is padded black — never cropped, so no content is lost. Use when the user wants a Twitter/X banner for an article or infographic. Twitter/X is the only target: LinkedIn and blog headers accept the original image, so never generate a derivative for them. Never overwrites the original — writes a new file beside it.
Generate a daily AI news newsletter for a Chinese audience from fresh web sources. Return the newsletter body and article summaries in Simplified Chinese.
Append the Arch Linux sign-off line `btw, i use arch` to the very bottom of an article in ai-thoughts/docs/ (EN or ZH). This is a standing default for every article: apply it unless the user explicitly says not to. Use when writing or finishing any new article, or when the user asks to add it.
关于 Ottermind 技能
j3ffyang 发布的全部技能。如果某位作者的思路本来就贴合你的工作方式,关注这个作者往往比一个个评估单独技能更省时间。
技能覆盖 Ottermind 智能体能做的全部工作:生成可编辑的 PowerPoint 演示文稿、产出产品图与品牌视觉、在你接入的机器上写代码并运行、把脚本或静态图变成视频、清洗并分析表格数据。技能的作用,就是把一个通用模型变成能稳定处理「你这一版」具体任务的工具。
技能就是一个带简短 frontmatter 头部的 Markdown 文件,所以你可以在运行前先读清楚它到底会做什么,按自己的规范改写,也可以分享给同事。一旦某个技能跑出了你要的结果,就能把它挂到智能体上或设成定时自动化,同样的活儿下次不用任何人再重写提示词。
- Ottermind 技能是什么?
- 一份用 Markdown 写的可复用指令包。它为某一类任务提供上下文、步骤和约束,让结果保持稳定,而不是取决于你当天提示词写得好不好。
- 怎么安装和使用技能?
- 打开任意技能的详情页,读完整份文档,然后安装到你的工作区。之后遇到匹配的任务,智能体可以自动调用它,你也可以直接按名字指定。
- 我可以自己写技能吗?
- 可以。技能就是一个 Markdown 文件,frontmatter 里写清楚它叫什么、什么时候该用。如果有个流程你总要反复向智能体解释,把它一次性写成技能,通常是让它变得可复用的最短路径。
- 技能要额外收费吗?
- 浏览和安装技能库里的技能本身不收费。运行技能与其他智能体任务一样消耗积分,具体取决于你选择的模型和任务的工作量。