「fts」の検索結果

Plan, draft, audit, and publish posts and threads for X (Twitter). Use when the user wants to write a single tweet or an auto-numbered thread, build a long-form tweetstorm, remove AI tells from a draft, reverse-engineer the hook from a viral tweet, draft a reply or quote tweet, or plan a week of X content. Tweets and threads publish via the Publora API, which auto-splits long content into a numbered thread. User provides notes or a tweet URL, the skill drafts, the user approves, then it publishes.

日本語の概要は準備中です。原文の説明を表示しています。

Draft a reply or a value-add quote tweet for a specific X (Twitter) tweet from its URL. Use to reply in a thread, answer a creator, or quote-tweet with added value. Parses the tweet URL, reads pasted context, decides reply vs quote tweet, and drafts 1-3 variants in your voice. X has no LinkedIn-style 2-level thread flattening, so a reply is just a tweet. Publora has no reply endpoint, so the draft is returned as a copy-paste block to post yourself. Not for top-level posts (use x-post-writer).

日本語の概要は準備中です。原文の説明を表示しています。

Applies the product philosophy and leadership frameworks of Steve Jobs, co-founder and CEO of Apple Inc. Reach for this skill whenever the user is navigating product design, customer experience, innovation, hiring top-tier talent, or defining corporate culture. Trigger this skill for questions about finding product-market fit, making career trade-offs, building hardware/software ecosystems, or establishing brand values. Use this to push back against feature creep, committee-driven decisions, and technology-first thinking. Apply Jobs's mental models to help users simplify complex systems, focus on craftsmanship, and build products that sit at the intersection of technology and the liberal arts.

日本語の概要は準備中です。原文の説明を表示しています。

Applies the practical, systems-level, and commercially-driven reasoning of Thomas Edison (founder of General Electric, inventor and industrialist). Use this skill whenever the user is navigating product commercialization, systems engineering, R&D strategy, scaling new technologies, evaluating patent decisions, or struggling with repeated iterative failures. Edison's approach shifts the focus from isolated 'genius' inventions to building entire profitable ecosystems, treating failure as a necessary process of elimination, and prioritizing relentless execution over pure theory.

日本語の概要は準備中です。原文の説明を表示しています。

Applies the nutritional epidemiology and public health frameworks of Frank B. Hu (nutrition epidemiologist, Harvard University). Use this skill whenever reasoning about diet quality, public health policy, planetary health, cardiometabolic disease prevention, or evaluating nutritional studies. Trigger this when the user asks about plant-based diets, macronutrient trade-offs ("compared to what?"), the impact of the food environment, or lifestyle factors for longevity. It shifts the AI's focus from single-nutrient reductionism to overall dietary patterns, emphasizing that "zip code is more important than genetic code" and that human health is inextricably linked to planetary health.

日本語の概要は準備中です。原文の説明を表示しています。

Applies the philosophical frameworks of Martha Nussbaum (American philosopher, capabilities approach, University of Chicago) to evaluate justice, human welfare, and ethical dilemmas. Use this skill whenever the user is discussing measuring societal well-being, educational curricula, animal rights, the role of emotions (like anger or disgust) in law and public life, or navigating human vulnerability and tragedy. Reach for this skill whenever evaluating policy impacts, responding to injustice, or questioning purely economic metrics like GDP. It shifts the focus to what people are actually able to do and be.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill whenever you need to reason about public health, epidemiology, preventive medicine, healthy aging, longevity, lifestyle vs. genetics, or dietary patterns. Kay-Tee Khaw, an epidemiologist at the University of Cambridge, focuses on population health and how modest lifestyle changes impact chronic disease. Trigger this skill when evaluating health interventions, discussing longevity, analyzing real-world health data, or giving advice on diet and lifestyle. Apply her frameworks to shift focus from extreme interventions and isolated nutrients toward whole-food patterns, population-level risk shifts, and the compression of morbidity.

日本語の概要は準備中です。原文の説明を表示しています。

Draft, edit, and publish blog posts for e9n.dev. Use when creating new posts, editing drafts, or refining existing content. Handles Eleventy frontmatter, Tailwind formatting, and Espen's authentic voice.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill for ANY work involving React, Next.js, TypeScript, or Tailwind in the browser layer. This includes building components and pages, but equally covers debugging and fixing frontend issues: CSS/Tailwind classes not applying, form validation behavior, hydration mismatches between server and client renders, styling bugs, layout shifts, and rendering problems. Also use for refactoring components (e.g., splitting Server vs Client Components), data fetching patterns, state management, bundle optimization, and frontend tooling. If the problem involves what users see or interact with in a web browser — whether building, fixing, or refactoring — use this skill. Not for backend APIs, databases, infrastructure, or DevOps.

日本語の概要は準備中です。原文の説明を表示しています。

Investigate unexpected behavior and mysterious bugs. Use when the cause of a problem is unknown and the user needs to understand WHY something is happening — symptoms like: sudden unexplained changes in metrics or behavior, works locally but not in staging/production, inconsistent or intermittent failures, correct code producing wrong results, operations succeeding but having no effect, environment-specific failures, duplicate executions, stale data, or any "why did this change?" or "why is this happening?" situation. Covers infrastructure anomalies (cache hit rates dropping, latency spikes, queue behavior shifts) as well as code bugs. The key signal is confusion about root cause, not a request to implement a known fix. Do NOT use for feature requests, known fixes, planning, or documentation tasks.

日本語の概要は準備中です。原文の説明を表示しています。

Design audience-specific framing, drafts, and communication sequence for stakeholder updates.

日本語の概要は準備中です。原文の説明を表示しています。

Edit English prose to remove repetitive AI phrasing, inflated language, and mechanical structure while preserving facts, meaning, and the author's voice. Use for requests to de-slop, humanize, rewrite naturally, fix tone, or review generic English drafts. Also compose from the author's English notes or transcripts and ask targeted questions when real details are missing. For Brazilian Portuguese, use the bundled humanizar skill.

日本語の概要は準備中です。原文の説明を表示しています。

Relationship-first networking skill for identifying the right people to connect with and drafting value-add outreach — not sales, not referral asks. Use when building a network for a job search, career pivot, partnership, or industry access. Covers target identification by purpose, deep LinkedIn + web research on a specific person, brainstorming 10 value-add angles, and drafting three outreach formats: cold networking email (max 200 words), LinkedIn connection request (max 300 characters), and hiring manager follow-up email (120–160 words). Never drafts generic openers or referral asks — always leads with a specific observation and genuine value.

日本語の概要は準備中です。原文の説明を表示しています。

Use when writing or debugging prompts for ByteDance Seedance video models (Seedance 2.5, 2.0, 2.0 Mini, 1.5 Pro, 1.0) on Dreamina, Jimeng AI, Doubao, BytePlus ModelArk or ComfyUI, when a generated video drifts off the reference face, grows unwanted subtitles or watermarks, duplicates a character, jumps at an extension seam, or when planning multi-shot or multi-reference video briefs.

日本語の概要は準備中です。原文の説明を表示しています。

Use when writing or debugging prompts for MiniMax H3 (Hailuo 3) video-with-audio generation, running the open weights locally in ComfyUI, choosing a quant or an acceleration LoRA for the VRAM you have, wiring reference-to-video with images, video or audio, or when a generated clip produces gibberish speech, drifts off a reference identity, garbles audio after a latent upscale, or refuses to run on a build that looks current.

日本語の概要は準備中です。原文の説明を表示しています。

Turn a client meeting into next-best-action follow-up for a financial advisor — no drafting required. Given a meeting (via Zocks, Wealthbox, or a pasted transcript), finds the right household, drafts a CRM note plus the action items and opportunities it heard, shows them all in one batch for approval, then writes what's approved and offers to file the record in Drive. Triggers on "log the meeting", "log my meeting with [client]", "meeting follow-up", "post meeting", "/post-meeting", or "follow up on my meeting with [client]".

日本語の概要は準備中です。原文の説明を表示しています。

Prepare a meeting-ready estate and tax brief for a household — opens with what was discussed and actioned since the last meeting (Wealthbox/Redtail/Salesforce), pulls the estate plan from Wealth.com (structure, key documents and whether each is signed, balance sheet) plus the prior-year tax look-back and that year's tax constants, and cross-checks it against how accounts are titled and beneficiaried at the custodian and portfolio platforms (Schwab, Orion/Addepar, iCapital) — surfacing unfunded trusts, titling mismatches, and beneficiary gaps as a prioritized flags list. The only write is creating advisor-approved follow-up tasks in the CRM (optional, approved first). Never drafts trust language, gives legal advice, retitles an account, or changes a beneficiary. Triggers on "estate brief", "estate meeting brief", "estate and tax brief", "estate plan review for [client]", "check [client]'s trust funding", "are [client]'s beneficiaries up to date", or "does [client]'s estate plan match their accounts".

日本語の概要は準備中です。原文の説明を表示しています。

Lifts the task's scope for one task. The session, its reviews and fix-the-class then look across the whole codebase and every repo that shares its code, data or vendors, and every problem found anywhere is handled by the usual rules. Runs only when the user types it.

日本語の概要は準備中です。原文の説明を表示しています。

飞书邮箱 — draft, compose, send, reply, forward, read, and search emails; manage drafts, folders, labels, contacts, attachments, and mail rules. Use when user mentions 起草邮件, 写一封邮件, 拟邮件, 草稿, 发通知邮件, 发送邮件, 发邮件, 回复邮件, 转发邮件, 查看邮件, 看邮件, 读邮件, 搜索邮件, 查邮件, 收件箱, 邮件会话, 编辑草稿, 管理草稿, 下载附件, 邮件文件夹, 邮件标签, 邮件联系人, 监听新邮件, 收信规则, 邮件规则, draft, compose, send email, reply, forward, inbox, mail thread, mail rules.

日本語の概要は準備中です。原文の説明を表示しています。

Use when auditing self-media videos, scripts, covers, subtitles, voiceover, product links, account copy, comments, articles, or publishing packages for platform violation risk; especially before final delivery or publishing after video production or clipping. Covers e-commerce product consistency, Qianchuan material quality, regulated qualifications, efficacy claims, prices, gifts, activities, and pre-selection risk across WeChat, Douyin, Kuaishou, Bilibili, Xiaohongshu, TikTok, and related platforms.

日本語の概要は準備中です。原文の説明を表示しています。

Formulates LP, MILP, CP-SAT models; diagnoses infeasibility and gaps. Use when a MILP is infeasible, shifts need scheduling under capacity, or choosing a solver.

日本語の概要は準備中です。原文の説明を表示しています。

Designs RAG retrieval for LLM grounding: chunking, BM25+vector hybrid, reranking, GraphRAG. Use when adding embeddings to SQLite FTS5 search or running held-out retrieval eval.

日本語の概要は準備中です。原文の説明を表示しています。

End-to-end content creation and publishing. Takes a topic (or generates one), drafts in the user's voice, gets approval via Telegram, and publishes to Medium via browser automation. Invoke with "publish a post about X", "write and publish to Medium", "content-publish", or when an ego-dispatched session needs to create and distribute content.

日本語の概要は準備中です。原文の説明を表示しています。

Diagnose HitKeep traffic drops, spikes, source shifts, and suspicious changes. Use when traffic, sessions, visitors, pageviews, events, or conversions changed; when a deploy may have affected measurement or behavior; or when search, referral, direct, campaign, and bot explanations need to be separated.

日本語の概要は準備中です。原文の説明を表示しています。