Prompts
Prompt engineering and templates
sketch-image-prompt
by okooo5km
Transforms article content or summaries into minimalist hand-drawn style JSON prompts for AI image generation tools. Use this skill whenever the user wants to create any kind of visual from text content — including banners, article illustrations, inline diagrams, infographics, or concept visuals. Trigger on requests like "turn this into a visual", "create an image prompt", "make an illustration for this", "generate a diagram from this article", "I need a sketch for this section", or any request combining content analysis with image/visual prompt generation. Always use this skill when the user provides text content and wants an AI-ready image prompt output.
skill-developer
by diet103
Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns, file paths, content patterns), enforcement levels (block, suggest, warn), hook mechanisms (UserPromptSubmit, PreToolUse), session tracking, and the 500-line rule.
prompt-version-editor
by WiseWong6
严格变更控制下编辑、版本化并存储提示词。用于用户要求小改/局部优化/补丁式修订、修复提示词失败、添加或维护版本头、对比版本，或基于输入/思路/输出诊断问题时。强制版本控制、作者签名，并将版本保存到 /Users/wisewong/Documents/Developer/prompts。
Skill: prompt-transparency
by strikersam
instructions are active at any given time.
Skill: prompt-library
by strikersam
docs-sync — general documentation sync
configurator-recipes
by saleor
"Pre-built store configuration templates for common business types. Use when asking about store templates, example configs, fashion/electronics/subscription setup, or starting points."
humanize-chinese
by swaylq
中文去 AI 腔一整套（装完即用，零 API Key —— 装了本 skill 的 agent 自己就是那个 LLM）。 六个流程：① 生成即去 AI —— 写中文时按本 skill 的写作指南落笔，初稿就不带 AI 腔； ② 复查改写 —— 产出后对照本 skill 的清单再过一遍，定点拆模板句式； ③ Python 词语替换 —— ./humanize replace 按文体自动路由词表（学术 120+ 条 / 通用 220+ 条），只做短语级、只在子句边界替换，改完自动核对数字/专名/段落； ④ Claude 腔转英文 —— 把 Claudish（Claude 助手腔英文）改写成平实英文， 规则提炼自 gvzdv/claudish-to-english； ⑤ 去水印 —— ./humanize watermark 扫清零宽字符/双向控制符/同形替身， 并对照 guillaumemeyer/watermarks-remover 说明统计水印的边界； ⑥ 纠错顺句 —— 修错词、病句、标点，拗口和用词不准处轻手顺一顺；改动范围有硬校验。 另有检测（0-100 分）、风格转换、学术降重等 CLI。 Use when user says: "去AI味", "降AIGC", "人性化文本", "humanize chinese", "AI检测", "AIGC降重", "去除AI痕迹", "文本改写", "论文降重", "知网检测", "维普检测", "AI写作检测", "让文字更自然", "detect AI text", "humanize text", "make text human-like", "去ai化", "改成人话", "去机器味", "长文本改写", "小说改写", "写一篇", "claudish", "claudish to english", "去水印", "watermark remover", "remove watermark"
declaude-en
by swaylq
把 Claude 腔的英文（Claudish）改写成平实自然的英文。六段流水线的第四段， 是英文稿的分支：中文稿不走这一段，中文的去 AI 腔走第一、二段。 规则提炼自开源项目 gvzdv/claudish-to-english（2.4k star）的内置改写 prompt， 由 agent 直接执行，不需要装它的插件。
engines
by atrislabs
"Dispatch work to an installed terminal agent or named Atris engine profile. Supports Atris Fast, Claude, Codex, Cursor, Fable, Composer, Haiku, Devin, Grok, and Antigravity (agy). Triggers on: use codex, use cursor, use devin, use grok, use agy, use antigravity, use fable, use claude, use atris, engine, dispatch to, worker agent, second opinion build."
write-cn
by swaylq
写中文的时候直接绕开 AI 腔，而不是写完再洗。给 LLM 当写作指令用：喂进题目和文体， 产出的初稿就已经没有模板句式、没有价值拔高骨架、没有等厚段落。 这是六段流水线的第一段。第一段决定文章有没有人味，后面几段只能修，补不出来。 这份文件本身刻意写成它要求的那种中文 —— 指令文档的版式和语气会被模型当范文模仿， 一份满是加粗和编号清单的规范，教出来的就是加粗和编号清单。
cron
by tkersey
Create and manage Codex app automations stored in the local SQLite database (~/.codex/sqlite/codex-dev.db). Use when you need to add, list, update, enable/disable, delete, or run-now automations; edit automation names, prompts, RRULE schedules, or cwd scopes; or inspect automation records while troubleshooting app automation behavior.
puff
by tkersey
Launch and manage Codex Cloud tasks from the CLI, including detached background watchers that track completion. Use when users ask to run coding work in cloud/background agents, queue multiple cloud tasks, poll task status, fetch cloud diffs, apply cloud outputs locally, or pair cloud kickoff with $cas orchestration.
smart-illustrator
by axtonliu
智能配图与 PPT 信息图生成器。支持三种模式：(1) 文章配图模式 - 分析文章内容，生成插图；(2) PPT/Slides 模式 - 生成批量信息图；(3) Cover 模式 - 生成封面图。所有模式默认生成图片，--prompt-only 只输出 prompt。支持 Bento Grid 功能展示图风格（--style bento）。触发词：配图、插图、PPT、slides、封面图、thumbnail、cover、bento grid、功能展示图、feature showcase。
Orquestador Data/ML
by scaleto
Líder del Grupo Data/ML. Planifica y delega tareas de datos, machine learning, IA, LLMs y RAG a los especialistas del grupo.
orchestrating-swarms
by Jamie-BitFlight
Facade skill for multi-agent swarm orchestration in Claude Code — routes to specialist skills covering primitives, spawning, operations, and patterns. Use when coordinating multiple agents in parallel, building pipeline workflows with dependencies, running parallel code reviews, creating self-organizing task queues, designing divide-and-conquer workloads, or choosing between TeamCreate and Agent tool approaches. Loads swarm-primitives (team lifecycle and message flow), swarm-spawning (agent types and backends), swarm-operations (tool API and error handling), and swarm-patterns (six orchestration recipes with complete workflows).
swarm-operations
by Jamie-BitFlight
API reference for Claude Code multi-agent swarm tools -- TeamCreate, SendMessage, TeamDelete, TaskCreate/Update/List/Get, and Agent tool parameters. Use when looking up tool signatures, message schemas, shutdown sequences, error handling patterns, or debugging swarm operations. Covers direct messages, broadcasts, plan approval flows, graceful shutdown sequences, crashed teammate recovery, and common error causes.
skill-research-process
by Jamie-BitFlight
Builds comprehensive Claude Code skills using parallel research agents — categorization, parallel documentation gathering, anti-hallucination checkpoints, and final validation. Use when building a skill from official docs, when "research for skill" or "create comprehensive skill" is requested, or when extensive multi-source documentation gathering is needed before skill creation.
cove-prompt-design
by Jamie-BitFlight
Explains Chain of Verification (CoVe) prompt design — a 4-step pattern separating generation from independent factual verification. Use when designing prompts that require factual accuracy, reducing hallucinations, checking technical standards or APIs, or producing step-by-step procedures where subtle errors are costly.
code-review-claude-skills
by Jamie-BitFlight
Loaded automatically when reviewing Claude skills or agent definitions — covers SKILL.md structure, frontmatter validity, token budget, description quality, and agent contract compliance.
code-review-llm
by Jamie-BitFlight
Use when reviewing AI/ML code or LLM integration — activates on prompt templates, model selection logic, token budget concerns, or evaluation harness code. Enforces prompt hygiene, model tier matching, context window management, token economics, structured output validation, temperature settings, retry logic, streaming error handling, and PII/safety rules.
angular-directives
by analogjs
Create custom directives in Angular v20+ for DOM manipulation and behavior extension. Use for attribute directives that modify element behavior/appearance, structural directives for portals/overlays, and host directives for composition. Triggers on creating reusable DOM behaviors, extending element functionality, or composing behaviors across components. Note - use native @if/@for/@switch for control flow, not custom structural directives.
continuous-learning-v2
by xu-xiang
基于直觉（Instinct）的学习系统，通过钩子（Hooks）观测会话，创建带有置信度评分（Confidence Scoring）的原子直觉，并将其演进为技能（Skills）、命令（Commands）或智能体（Agents）。
strategic-compact
by xu-xiang
建议在逻辑间隔进行手动上下文压缩（Context Compaction），以便在任务阶段中保留上下文，而不是依赖随机的自动压缩。
continuous-learning
by xu-xiang
自动从 Claude Code 会话（Sessions）中提取可重用的模式，并将其保存为学习到的技能以供未来使用。