AGENT SKILL

landing-page

Explicit landing-page build and deploy operator. Loads marketing and frontend judgment, scaffolds the smallest suitable site, verifies it rendered, deploys to the configured target.

使用场景前端开发
License 许可
Apache-2.0
最近更新
2026-11-11
Stars
★ 1.6k
Forks
468

01 前言 Front Matter

name
landing-page
kernel
{ "kind": "operator", "version": 2, "confirmation": "on_side_effect", "side_effects": "deploys" }
description
Explicit landing-page build and deploy operator. Loads marketing and frontend judgment, scaffolds the smallest suitable site, verifies it rendered, deploys to the configured target.
allowed-tools
Read, Write, Edit, Bash, Grep, Glob, Agent, WebSearch, WebFetch
user-invocable
true
disable-model-invocation
true

02 资源文件 1

03 SKILL.md 正文

<skill id="landing-page">

<purpose> Build, verify, and optionally deploy a focused landing page. This is the explicit operator; strategy and aesthetics come from the methodology skills it composes. </purpose>

<skill_load> Load skills/marketing-site/SKILL.md and skills/frontend/SKILL.md before writing. </skill_load>

<inputs> Use answers already present in the request/repository. Resolve only what materially changes the build: audience, desired action, offer/proof, brand/assets, required content/legal pages, real CTA destination, domain, and deploy target. Never invent brand facts or proof.

For the unresolved inputs, run a structured interview with the AskUserQuestion tool (batched, up to 4 questions per round, recommended option first where evidence supports one) instead of guessing or asking loose prose questions. Bounded choices only; positioning and voice discussions stay prose. The interview method: skills/build/SKILL.md "The interview". </inputs>

<scaffold>

  • Follow the existing repository and stack first. For a new simple page, prefer static HTML/CSS with JavaScript only for real behavior; add a framework only when requirements earn it.
  • Build the content argument with marketing-site; build the visual system with frontend.
  • Add only the pages and integrations the brief needs. If forms, analytics, cookies, payments, embeds, or accounts touch data, create/update a privacy page that matches the real behavior.
  • Keep secrets and deploy credentials out of source. </scaffold>

<verify-local>

  • Render and do visual QA at 375 / 768 / 1440 widths unless the product defines better targets.
  • Check hierarchy, realistic content, overflow, keyboard/focus, reduced motion, contrast, images, console errors, links, metadata, and CTA/form success plus error paths.
  • Confirm the privacy policy matches actual collection and third parties.
  • Run the repository's tests/build/lint and fix failures before deployment. </verify-local>

<deploy>

  • Use the project's configured deploy command and provider. If none exists, choose the smallest provider-appropriate static deployment; Cloudflare Workers Static Assets is one option, not a universal default.
  • If the user already named the deploy target and asked to deploy, that counts as confirmation. Otherwise surface the resolved account/project/domain before the side effect.
  • After deploy, verify the live URL: status 200, headline/content marker, nested assets, legal page, and conversion path. Static assets can propagate briefly, so retry a short bounded check before diagnosing a successful deploy as broken. </deploy>

<hard-stops>

  • No fabricated proof, shippable placeholders, fake form success, or dead CTA.
  • No secrets in committed source.
  • No “done” claim based only on source, build, commit, or deploy output; inspect the rendered page locally and the served page after deployment. </hard-stops>

<on_end> Report the live URL if deployed, target widths and paths checked, claims/proof source, privacy behavior, and any verification bar not observed. </on_end>

</skill>

04 同仓库更多 Skills

hashgraph-online
hashgraph-online/awesome-codex-plugins

deja-search

deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.

★ 1.6k
hashgraph-online
hashgraph-online/awesome-codex-plugins

deja-reflect

End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.

★ 1.6k
hashgraph-online
hashgraph-online/awesome-codex-plugins

revid

Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.

后端与接口图像与多媒体
★ 1.6k
hashgraph-online
hashgraph-online/awesome-codex-plugins

review-study

Review a QuestionPunk survey before launch for wording, answer choices, branching, and missing settings. Use for check my survey or review this draft before publishing.

★ 1.6k
hashgraph-online
hashgraph-online/awesome-codex-plugins

manage-study

Find QuestionPunk studies, check status, publish an explicitly requested draft, or retrieve its participant link. Use for find my survey, publish this study, or how many people responded.

★ 1.6k
hashgraph-online
hashgraph-online/awesome-codex-plugins

create-study

Create a saved QuestionPunk survey draft from a research brief or edit specified questions. Use for requests such as make a customer feedback survey or shorten my onboarding study.

★ 1.6k