content-marketing
撰写能转化并优化排名的博客、简报、案例与社媒文案。
相关性达标的全量 Skills(含未精选长尾)· 共 5090 个
撰写能转化并优化排名的博客、简报、案例与社媒文案。
使用并行子代理从架构到安全进行全面的代码审查并合并结果。
为 React/Vue/Svelte 生成生产级组件模板,涵盖所有状态与无障碍。
起草专业邮件、反馈、会议记录与跨文化沟通模板。
对 diff 或提交进行正确性、安全性与可维护性的详尽审查。
为 GitHub Actions/GitLab CI/CircleCI 设计高效安全的 CI/CD 流水线。
Manage the ChromaDB vector database that stores the ecosystem's persistent memory. Use when user asks to check memory storage, backup memory, search stored entries, delete entries, or reset the vector database. Do NOT use for general question answering about past sessions (use the memory skill for that).
生成销售外联、提案书、SOW、投融资演示文稿与 RFP 回复模板。
生成品牌识别、设计系统与设计代币,并产出创意方向与设计简报。
按 OWASP/NIST 标准实现生产级认证与授权(OAuth/OIDC、WebAuthn、会话、RBAC)。
根据需求设计 REST/GraphQL 接口,并生成符合 OpenAPI 3.1 的规范与最佳实践。
通过 inference.sh CLI 在云端运行多种 AI 应用与模型(图像、视频、LLM 等)。
为 AI agent 提供浏览器自动化能力:导航、填表、点击、截图与数据提取。
按专业UI/UX规范为网页、界面或组件提供美学设计指导与方案。
网文工具箱路由入口,根据意图分发到具体技能
从构思到成稿生成短篇小说,侧重情绪与节奏
扫榜分析短篇网文趋势并给出题材与情绪方向
对短篇网文进行结构化拆解,输出拆文报告与元数据
在项目目录部署写作工具集的 hooks、rules、agents 与配置文件。
以多视角并行或单独模式审查小说并给出可执行修改建议。
从选题、大纲到正文全流程辅助长篇网文创作与情节管理。
分析起点、番茄等平台排行榜,提炼热门题材与市场信号。
深度拆解长篇小说的黄金三章、人设、爽点与节奏控制。
把已有小说文本解析为标准写作项目目录与续写资产。
将过于AI化的网文改写为更自然、口语化且不模板化的文本。
根据书名与题材风格生成带书名与署名的网文封面图。
通过 Chrome DevTools Protocol 控制本地 Chrome,执行自动化与登录复用。
Maintain a project's canonical truth across long-running AI collaboration. Discover authoritative project documents, identify the current valid plan, audit conflicts and duplicates, absorb external materials through Preview and confirmation, route decisions and changes to the right files, separate design acceptance from implementation and verification, archive processed sources safely, and resume after context loss. Use when users ask which plan is current, want to take over or organize project docs, update current/decisions/changes/delivery/evidence, reconcile docs with code, archive reviewed materials, or continue without re-deciding settled issues. Do not use for generic Markdown formatting or one-time mass document summarization.
Pre-implementation kill-criteria review for AI apps, Agents, or Workflows. Finds at most two blocking failure modes and designs one falsifiable minimal experiment. When multiple independent blockers compete, applies conditional decision-priority scoring and experiment-coverage declarations. Use when the user invokes /ai-application-design-review, or asks for design-stage blocking-risk / kill-criteria review before building. Do not use for code review, runtime debugging, UI taste, pure brainstorming, model-picker advice alone, or full system redesign.
在提交前对未暂存的 git diff 启动多位专责审查代理,汇总问题提示开发者修正。
Initialize a project's engineering foundation and knowledge hub, and manage its Architecture Decision Records (ADRs). Use whenever the user types /ctxinit, or asks to bootstrap/scaffold a new project's structure, set up a context/ knowledge folder, engineering rules, or security rules. /ctxinit interviews the user about the project's surfaces (admin panel, portal, landing, mobile app, API), then generates a complete context/ hub — rules, docs, plans, decisions (ADR), technical-debt registry, map — plus thin agent entry-point files (CLAUDE.md, AGENTS.md, .cursor stubs) that REFERENCE context/ instead of copying it. /ctxinit --sync (re)generates context/map.md and the component-reuse registry by scanning the current codebase — also use --sync when the user says "update the map", "sync the context", or "list the components". Once a project has a context/decisions/ log, this skill also RECORDS, QUERIES, and SUPERSEDES its ADRs — trigger on "record this decision", "why did we decide X", "di
Use this skill to rate, audit, red-team, or release-gate a concrete AI agent harness, runtime, orchestrator, runner, repository, deployment, trace set, or configuration. Use for loop correctness, tool dispatch and result correlation, context and memory isolation, permissions and sandboxing, approvals, retry and idempotency, timeouts, cancellation, budgets, termination, observability, cost, recovery, author defense, and same-rubric re-reviews. Trigger for wording such as rate my harness, audit this agent runtime, review my agent loop, red-team this orchestrator, is this agent production ready, harness 上线前挑刺, 给 agent harness 打分, or 这个智能体运行时能上线吗. Require an actual harness artifact or runtime evidence, including one in the current workspace. Do not use for generic agent architecture advice, ordinary code review, reviewing a standalone Skill or prompt, validating only a plugin manifest, debugging one model response, or evaluating a model without its runtime.
Use this skill to rate, audit, red-team, or release-gate a concrete AI agent harness, runtime, orchestrator, runner, repository, deployment, trace set, or configuration. Use for loop correctness, tool dispatch and result correlation, context and memory isolation, permissions and sandboxing, approvals, retry and idempotency, timeouts, cancellation, budgets, termination, observability, cost, recovery, author defense, and same-rubric re-reviews. Trigger for wording such as rate my harness, audit this agent runtime, review my agent loop, red-team this orchestrator, is this agent production ready, harness 上线前挑刺, 给 agent harness 打分, or 这个智能体运行时能上线吗. Require an actual harness artifact or runtime evidence, including one in the current workspace. Do not use for generic agent architecture advice, ordinary code review, reviewing a standalone Skill or prompt, validating only a plugin manifest, debugging one model response, or evaluating a model without its runtime.
Write mermaid diagrams that actually render on the target platform. Covers all 31 diagram types in mermaid 11.16.0 — flowchart, sequence, class, state, ER, gantt, gitGraph, C4, architecture, mindmap, and the long tail — with per-diagram syntax, node shapes, and worked examples. Use when writing or fixing any ```mermaid block, choosing which diagram type fits, debugging a diagram that renders as a broken box on GitHub, or deciding whether a diagram type is supported by the renderer you are targeting.
Extracts user workflows into self-contained agent skills by interviewing for intent and edge cases, designing modular packages with progressive disclosure (lean SKILL.md body, on-demand references/), writing step-by-step instructions with gotchas and validation loops, structuring directory trees (references/, assets/, scripts/), and enforcing the full spec checklist before deployment. Use whenever the user asks to create a new agent skill, extract expertise into a skill package, build a reusable workflow, audit an existing skill for compliance, or convert rough notes into a structured SKILL.md.
Writes and audits A2A-compliant agent-card.json files: the machine-readable discovery metadata that lets other agents find, route to, and invoke an agent's skills. Covers all required and optional JSON fields, skill declaration quality (description, examples, tags), capability flags, security schemes, and alignment between the card and the agent's runtime SKILL.md. Use when creating a new agent, auditing an existing agent-card.json, or adding/modifying skills declared in a card.
The repeatable process for reviewing a code change: understand the change's intent before critiquing, read the diff AND the surrounding code, verify the change's claims and tests rather than trusting them, categorize each finding by severity, and structure the written review. Load whenever the task is to review a pull request, diff, branch, or proposed code change - before you start reading the diff.
How to research a git repository's code, structure, or conventions: clone it shallowly and read it locally with your filesystem tools instead of fetching github.com pages over the web. Load when a task involves understanding a codebase, a repo's layout, its conventions, how a feature is implemented, or anything answerable from the repository's own files.
How to write a pull request - a title and a description that tell the reviewer what changed, why, and how to verify it, scaled to the size of the change. Use when composing a PR for delivery.
Reformats a Markdown document for clean visual rendering - consistent whitespace, heading hierarchy, scannability, and formatting consistency. Preserves all content and links exactly. Use before returning any Markdown document to the user, or when asked to clean up, format, or tidy Markdown output.