Writing Claude Skills
1 882 writing skills from 445 authors. They draft and edit prose. Half of them fit into 1 924 tokens or less — that is what one costs your context window when the agent loads it. 283 ship runnable scripts rather than instructions alone. We also found 239 copies of these same skills sitting in other people's repositories — counted once here, not 239 times.
1 882 unique 445 authors 185 from vendors
> Use this skill when writing, rewriting, or improving marketing copy for any page (homepage, landing page, pricing, feature, product, or about page). This skill produces clear, compelling, and testable copy while enforcing alignment, honesty, and conversion best practices.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Analyze and optimize a WordPress site's category taxonomy. Exports all posts, uses AI to suggest an improved category structure — merging duplicates, retiring dead categories, creating missing ones, writing descriptions, and re-categorizing posts. Run this when the user wants to clean up or improve their categories.
Guidelines for modifying existing WordPress blocks — load this before editing block files
Guidelines for modifying existing WordPress block themes — load this before editing theme files
Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing `output/CONTRACT_REPORT.md`; use for mid-Run coverage snapshots or final delivery completeness, not deep provenance integrity.
| Extract per-subsection “anchor facts” (NO PROSE) from evidence packs so the writer is forced to include concrete numbers/benchmarks/limitations instead of generic summaries.
| Build per-chapter (H2) writing briefs (NO PROSE) so the final survey reads like a paper (chapter leads + cross-H3 coherence) without inflating the ToC.
| Rewrite `outline/claim_evidence_matrix.md` as a projection/index of evidence packs (NO PROSE), so claims/axes are driven by `outline/evidence_drafts.jsonl` rather than outline placeholders.
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| Screen the direction pool with a discussion-first scoring pass, writing `output/trace/IDEA_SCREENING_TABLE.md`.
| Synthesize the shortlist into a discussion-ready research idea brainstorm memo, writing `output/REPORT.md`, `output/APPENDIX.md`, and `output/REPORT.json`.
| Generate a compact pool of discussion-worthy research directions from the signal table, writing `output/trace/IDEA_DIRECTION_POOL.md`.
| Converge the screened direction pool into a small, discussion-ready shortlist, writing `output/trace/IDEA_SHORTLIST.md`.
| Use when a tutorial module plan exists and the run needs an auditable module-to-source grounding file before prose.
| Deterministically compact final H3 bodies to the active delivery profile's paragraph budget without deleting prose or changing citation-block order.
| Write `output/DRAFT.md` (or `output/SNAPSHOT.md`) from an approved outline and evidence packs, using only verified citation keys from `citations/ref.bib`.
| Deterministically merge the final fingerprinted section snapshot into `output/DRAFT.md`, preserving outline order and inserting transitions only when explicitly enabled.
| Polish a single H3 unit file under `sections/` into survey-grade prose (de-template + contrast/eval/limitation), without changing citation keys.
| Write survey prose into per-section files under `sections/` so each unit can be QA'd independently before merging.
| Build per-subsection writing briefs (NO PROSE) so later drafting is driven by evidence and checkable comparison axes (not outline placeholders).
| Generate lightweight section/subsection transitions (NO NEW FACTS) to prevent “island” subsections; outputs a transition map that merging/writing can weave in.
| 当年明月历史通俗写作思维——幽默风趣、现代视角、心灵历史、权力与人性。 触发词：「当年明月视角」「像当年明月那样写」「明朝那些事儿」「历史通俗化」。 擅长：历史通俗写作、幽默叙事、人物心理分析、权力斗争描写、现代语言解构历史。
| 天下霸唱网文创作思维——说书人腔调、悬念驱动、民俗底色、虚实交织、冒险叙事。 触发词：「天下霸唱视角」「像天下霸唱那样写」「鬼吹灯」「盗墓小说」「说书人叙事」「悬念钩子」。 擅长：冒险悬疑写作、悬念设计、民俗文化融入、三幕式探险结构、说书人叙事风格、网络文学创作。
| 李继刚（Prompt布道师/Prompt之神）的AI提示词创作思维——Lisp压缩美学+哲学底色+结构化写作+极简主义。 触发词：「李继刚视角」「像李继刚那样写」「Prompt之神」「汉语新解」「压缩美学」「ljg-skills」「Lisp提示词」。 擅长：Lisp伪代码风格提示词编写（公文笔杆子/汉语新解/七把武器系列）、哲学级Prompt思考框架（从工具论到道）、结构化写作方法论、认知工作流设计（13+1 Skills）、技术大会演讲、深度播客对话。
| 数字生命卡兹克（前UI/交互设计师→AI自媒体人→虚实传媒CEO→AIFUT大会发起人）的AI科技自媒体创作思维——平实直接、数据碾压、自嘲幽默、硬核输出。 触发词：「数字生命卡兹克视角」「像卡兹克那样写」「AI产品实测」「AI工具测评」「干货AI教程」。 擅长：AI产品实测与横评、AIGC创作实验、AI行业大会策展、Slogan式干货输出、数据粉碎型文案、一人对抗内容平台的全栈内容生产。
Multi-marketplace listing management — translation, pricing localization, BIL (Build International Listings)
Account suspension prevention and appeal — policy violations, Plan of Action writing, reinstatement process
Turn any source that describes how a kind of task gets done (a SKILL.md, a chat log, a runbook, plain prose) into a runnable Morph trace. Lift it into a DAG, write a contract per step, place inputs, and drive the full run lifecycle to verify it. Use whenever someone wants to make a trace from a source.
Use when subtitles or the spoken text of a YouTube video is needed: pasted video links or IDs, requests to translate a video, read along, follow foreign-language content, or extract what was said. Also use for language learning or accessibility. Fetches timestamped subtitles from any YouTube video. Not for uploading subtitles or account management.
Use when YouTube is or could be relevant — even if not mentioned: pasted video/channel/playlist links, video IDs, @handles, creator lookups, video summaries, quotes, translations, topic research, tutorials, talks, lectures, expert discussions, product reviews, how-to guides, new product announcements, or anything where video content is fresher or richer than text search. Covers transcripts, video/channel search, channel browsing, playlists, and within-channel search. Not for uploads, account management, or written-source-only research.
Use when YouTube is or could be relevant — even if not mentioned: pasted video/channel/playlist links, video IDs, @handles, creator lookups, video summaries, quotes, translations, topic research, tutorials, talks, lectures, expert discussions, product reviews, how-to guides, new product announcements, first looks, or anything where video content is fresher or richer than text search. Covers transcripts, video/channel search, channel browsing, playlists, and within-channel search. Not for uploads, account management, or written-source-only research.
Use when subtitles or the spoken text of a YouTube video is needed: pasted video links or IDs, requests to translate a video, read along, follow foreign-language content, or extract what was said. Also use for language learning or accessibility. Fetches timestamped subtitles from any YouTube video. Not for uploading subtitles or account management.
Use when YouTube is or could be relevant — even if not mentioned: pasted video/channel/playlist links, video IDs, @handles, creator lookups, video summaries, quotes, translations, topic research, tutorials, talks, lectures, expert discussions, product reviews, how-to guides, new product announcements, or anything where video content is fresher or richer than text search. Covers transcripts, video/channel search, channel browsing, playlists, and within-channel search. Not for uploads, account management, or written-source-only research.
Use when YouTube is or could be relevant — even if not mentioned: pasted video/channel/playlist links, video IDs, @handles, creator lookups, video summaries, quotes, translations, topic research, tutorials, talks, lectures, expert discussions, product reviews, how-to guides, new product announcements, first looks, or anything where video content is fresher or richer than text search. Covers transcripts, video/channel search, channel browsing, playlists, and within-channel search. Not for uploads, account management, or written-source-only research.
Write or review UI copy — buttons, errors, empty states, microcopy, notifications, labels — using the voice & tone system (clear, concise, useful, human, honest) with the what→why→how error formula and inclusive-language rules. Use when the user needs interface copy, error messages, empty-state text, or a copy review.
Authoring ComfyUI v2 frontend extensions with @comfyorg/extension-api — defineNode/defineExtension/defineWidget, shell UI (sidebar tabs, commands, hotkeys), typed events, and handles. Use when writing or editing ComfyUI web-UI extension code (custom node JS, sidebar panels, widgets).
Draft a LinkedIn comment on someone else's post from its URL, or reshare (repost) it to your feed with optional commentary. Use when the user pastes a post URL and asks to comment, engage, be first commenter, or repost with their thoughts. Produces 1-3 variants in the user's voice, picks a reaction, and publishes via Publora on approval. Not for replying to existing comments (use linkedin-reply-handler).
Scrub AI tells from any text draft OR audit a finished post against the 2026 algorithm heuristic checklist. Tier-based rewriter (forensic / strict / aesthetic / all) plus `--mode audit` for detection-only pass-fail review covering length, hook, CTA, format penalties, AI vocab. Also `--mode profile` builds a reusable Voice and Brand Profile from a few of the user's real posts, so every writing skill drafts in their voice. Sub-tools: emoji-pattern detector, multi-detector spread tester (GPTZero, Originality.ai, ZeroGPT, Sapling, Copyleaks), rule explainer. Triggers on "humanize", "de-AI", "review this draft", "audit before posting", "is this ready", "build my voice profile", "learn my voice".
Repurpose existing content into a native LinkedIn post. Take a tweet, thread, YouTube video, blog, or newsletter and rebuild it for LinkedIn: re-hook before the fold, expand to the 900 to 1300 char sweet spot, add whitespace and a CTA, move links to the first comment, run the humanizer, publish via Publora on approval. Not for writing from scratch (use linkedin-post-writer), not for auditing a draft (use linkedin-humanizer --mode audit).
公众号写稿｜长文写作｜文章润色｜改写续写 — 公众号长文 AI 写作，从话题或提纲生成完整初稿，支持改写、续写、润色、开头结尾优化，可调 DeepSeek / GPT / Claude 或由 Agent 代写。面向自媒体作者、公众号运营、品牌文案。触发词（**单独触发仅限对已有稿子的修改**）：「改写」「润色」「续写」「续一段」「往下写」「接着这段写」「重写开头」「改结尾」「调整语气」「这段润色下」「把这段改活泼点」「优化用词」「用 GPT 重写」「用 DeepSeek 重写」。新写一篇请走 aws-wechat-article-main（main 内部会调用本 skill 生成初稿）；需要多环节串联（写+审+排+配图+发）也走 main。
将中文小说、短剧或漫剧想法、梗概、改编材料或已有系列笔记发展成可追溯的改编方案、戏剧方向、创作简报、导演阐述、故事引擎与分集地图，并按题材与制作形态（画风）选择写法。用户提出“导入小说做短剧”“开发短剧/漫剧”“做故事设定/系列大纲/分集规划”“写导演阐述”“这个题材怎么写”“定画风/制作形态”“把这个点子变成短剧”或需要梳理人物冲突与集间交接时使用；已有剧本可直接进入写作、资产或审查流程，不强制补开发文件。
基于文件系统初始化、继续、恢复和交付短剧或漫剧项目，并提供本地 Dashboard 管理项目文本与预览项目媒体。面向编剧、漫剧工作室与编导。用户提出“创建/继续短剧项目”“看进度/下一步”“打开 dashboard/项目控制台”“恢复中断或不完整发布”“交付文本包”，或任务跨多个环节、意图不明确而需要先判断当前状态与负责技能时使用；明确的写作、资产、提示词、分镜或审查请求由对应子 skill 直接处理。
Use this skill to generate and measure Jetpack Compose Baseline Profiles end-to-end with the AGP 8.2+ Baseline Profile Generator module and the Macrobenchmark harness. Covers writing the `BaselineProfileRule` journey for cold startup plus first-scroll, generating `baseline-prof.txt`, verifying it shipped at `assets/dexopt/baseline.prof`, measuring with `MacrobenchmarkRule` under `CompilationMode.Partial(BaselineProfileMode.Require)`, and emitting accurate time-to-fully-drawn via `ReportDrawn` / `ReportDrawnWhen` / `ReportDrawnAfter` from `androidx.activity.compose`. Compose ships unbundled, so every Compose UI app benefits — cited gains around 30% faster startup and 40% smoother first-scroll. Use when the user mentions "baseline profile", "macrobenchmark", "slow cold startup", "first-scroll jank", "StartupTimingMetric", "FrameTimingMetric", "ReportDrawn", "TTFD", or preparing a release build for performance measurement.
Use this skill to install and operate the `skydoves/compose-stability-analyzer` IntelliJ / Android Studio plugin so the developer sees Compose stability feedback live in the editor instead of waiting for a Gradle build. Covers installing the plugin from disk, configuring the `Settings → Tools → Compose Stability Analyzer` panel, reading the four gutter colors (green stable, red unstable, yellow runtime, gray no-params), the per-parameter hover documentation, the inline parameter hint badges, and the `UnstableComposable` weak-warning inspection with its `@Suppress("NonSkippableComposable")` and `@Suppress("ParamsComparedByRef")` quick fixes. Use when the user mentions gutter icons, inline hints, the stability inspection, the IDEA plugin, real-time stability feedback while editing, or asks why a composable is flagged as non-skippable in the editor.
> Generate a Datadog Terraform provider data source end to end and open a review-ready (operationIds), artifact name, cardinality, description, and overwrite target; (2) Generation — build an annotated OpenAPI slice with slice_and_annotate.py, run tfgen on it, run make docs/build, and commit onto a new branch; (3) PR — a quick runtime-risk scan (trusting the generator for correctness), draft the standard PR body with disclaimers + testing guide, and open the PR with `gh`. Use this skill whenever the user wants to generate a Datadog data source, mentions tfgen / generator-v2, slice_and_annotate, an OpenAPI operation they want a data source for, opening a PR for a generated data source, evaluating generated code against goldens, or writing cassette / acceptance-test instructions — even if they don't say "skill".
Use when writing an OpenCLI adapter for a new site or adding a new command to an existing site. Guides end-to-end from first recon through field decoding, adapter coding, and verify. Replaces opencli-oneshot / opencli-explorer. For ad-hoc browser driving (no adapter), see opencli-browser instead; for a top-level orientation to opencli, see opencli-usage.