「data write」の検索結果

小红书文案改写能力；当用户需要将文案改写为小红书风格时使用

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。

多平台文案改写能力；当用户需要将文案改写为公众号/视频号/抖音/快手/哔站/小红书/知乎风格，或批量输出多平台改写结果时使用

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。

一位公众号爆款文案撰写专家。具有硬核的公众号文案功底，不管给你什么文案，你总能把该文案转化为一篇高阅读数的公众号文案，文案中必定会包含一些具有公众号特色的词汇。这个角色需要具备精通语言的能力，这个角色的任务是通过语言的艺术表达，使句子更加生动、吸引人、有趣和具有说服力。

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。

图文运营创作器。从选题、撰写、配图到质检，一条龙完成运营文章生产。看到好文章能仿写，给个 Skill 能生成推广长文，写完正文能自动配图。内置写作质量管控与自动配图能力，图文一体交付。触发词："生成运营文章"、"链接仿写"、"对标分析"、"Skill 推广"、"为正文配图"。

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。

公众号文案创作工具。基于红狐数据公众号爆款雷达每日收录的热门文章，按关键词检索爆款、分析流量规律、生成可发布的完整文章。当用户写公众号文章、生成公众号文案、查找爆款文章、分析爆款规律时使用。触发词：公众号文案、公众号爆款、爆款文章、公众号写作、公众号文章生成。

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。

复刻蒸馏写作技能 —— 分析一位作者的多篇文章，深度还原其思维方式与写作风格，生成专属写作分身子技能与风格提示词。支持公众号、抖音多平台自动采集素材，也可手动粘贴文章或指定文件路径。触发词：蒸馏写作风格、写作分身、克隆写作风格、复刻蒸馏写作技能。

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。

Scans an existing codebase and generates project-specific skills that capture inferred conventions such as naming, file organization, framework usage, data access, error handling, and testing style. Writes into the project's chosen skill directory (e.g., `.claude/skills/`, `.agents/skills/`, or a custom path). Use when the user asks to "extract skills from the codebase", "create project skills", "infer project conventions as skills", "codify patterns as skills", or "mine the repo for best practices".

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。

Read your Instagram niche and profile from real data via Apify, no login. Scan a hashtag for the posts traveling now (likes, comments, owner) to see the format and hook that works. Pull profile stats for any handle, yours or a competitor's: followers, posts, bio, category. Instagram hides who liked or commented on other accounts, so this is discovery plus profiles, not engagers. Triggers on "what works in my niche", "scan the hashtag", "competitor stats". Not for writing captions (use ig-caption-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。

Use when writing a complete SEO article. Includes the full anti-AI-slop ruleset (banned vocabulary, banned phrases, banned structural patterns) and voice rules. The agent researches the SERP itself if needed — no keyword data exports required.

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 rewriting or refreshing an existing page that's underperforming. The agent fetches the URL, analyzes the current content, researches the SERP, and rewrites using the full anti-AI-slop ruleset — no data exports needed.

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。

API reference: HealthKit. Query for HKHealthStore, HKQuantitySample, workouts, health data read/write.

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 analyzing a researcher's publication record from PubMed. Fetches an author's papers, classifies study types and author position, charts the patterns and writes a strategy report, with an optional trajectory-archetype classification. Works from PubMed metadata only.

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。

Ingest a CVE writeup, blog post, advisory, or GitHub repo into the wiki - fetch, dedup via sources:, update the right technique/tool page(s), re-index. Generic knowledge only; never client data.

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。

IDOR / BOLA hunting - two-account methodology, identifier discovery and UUID leak chaining, the trusted-identifier test, GraphQL node and nested-object IDOR, cross-tenant escalation, write and delete operations. Bounded ID sampling, never range sweeps. Wiki-first, FIND schema output. Trigger on IDOR, BOLA, broken access control, object level authorization, cross-tenant, "read another user's data", "swap the id", or any API path or parameter carrying a numeric ID, UUID, or account identifier.

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。

Rewrite a memory or context file (CLAUDE.md, AGENTS.md, a todo or notes file) into Honey-terse form so it costs fewer input tokens every session, without losing meaning. Backs up the original first. Use when asked to shrink or compress context files, trim CLAUDE.md, or cut per-session input cost. Prose only — never code, config, or data.

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 generating or refactoring Spring Boot 4 JPA entities, repositories, queries, projections, persistence tests, entity relationships, embeddables, IDs, or Hibernate mappings. Covers Jakarta Persistence 3.2 imports, Hibernate 7 entity modeling, new-state detection, N+1 prevention, projections, keyset pagination, batch writes, and common agent mistakes.

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。

This skill should be used when the user asks to "write a query letter", "query", "querying", "pitch", "blurb", "back cover copy", "jacket copy", "comp titles", "comparable titles", "synopsis for agents", "submit to agents", "submission tracker", "self-publishing description", "retailer description", "ready to query", "submission readiness check", "submit a short story", "magazine submission", "short-fiction markets", "simultaneous submission", "reprint rights", "order a short story collection", or wants to prepare and track a finished manuscript's submission to agents, publishers, magazines, anthologies, or retailers. NOT for pitching a series of several books (use series-continuity), or self-publishing production, metadata, or book rights deals (use publishing). The blurb, retailer description, and the rights a short-fiction market buys, such as reprint rights, stay here.

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。

Write detailed feature specifications with functional requirements, edge cases, data models, API contracts, and UX flows. Create comprehensive technical specifications that enable clear implementation.

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。

Generate engaging, localized App Store release notes (What's New) from git log, bullet points, or free text using canonical metadata under `./Store`. Optionally pairs with promotional text 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。

Use for Bun file I/O: Bun.file, Bun.write, streams, directories, glob patterns, metadata.

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 choosing between engines or models for an agent pipeline and the answer must come from measurement on your own data, not from marketing pages: speech recognition for meeting recordings, the model that turns a transcript into notes, the critic model that checks it. Runs every variant in an isolated container, measures time, cost per hour of input (USD and RUB, with price source and date) and quality (WER/CER and course terms for ASR; code checks plus a judge of a different model for LLM steps), writes results.json/csv and one static analytics page. Triggers on "бенчмарк", "сравни движки", "сколько стоит час записи", "какую модель взять для пайплайна", "benchmark the pipeline", "compare ASR engines".

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。

Run an honest market-fit and viability audit of any project or idea and produce a decision doc, not code. Use when someone asks "is this viable as a business", "audit the market fit", "make the case and compare to competitors", "should I apply to YC or bootstrap", or wants to validate a project, product, or market before investing more time. Gathers verifiable traction data first, researches the competitive field, gets an independent cold read, writes a doc with pre-committed pass/middle/kill criteria and a concrete week-1 assignment, then hardens it with an adversarial review loop.

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。

Write clear, searchable help center articles and FAQ entries based on support data, product documentation, and common customer questions. Use when the user requests knowledge base article writing or provides relevant inputs for this workflow.

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。

Generate data-backed content briefs by analyzing Google SERP results, competitor content, keyword intent, and audience questions. Produces writer-ready briefs with target queries, required subtopics, recommended format, word count, and competitive differentiation angles.

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。