Skill
Give your AI assistant direct access to real-time HK/US stock data and trading capabilities with Longbridge Skill
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一分鐘完成驗證Downloadable agent skills for AI coding assistants — landing page replication, WebGL Three.js backgrounds, Doubao TTS & podcasts, video scripts, GEO job hunting, DESIGN.md visual systems. Unzip and use. MIT.
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取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
Clone-and-use skill packs for AI coding assistants — Claude Code, Cursor, Codex, Hermes, or any agent that reads a SKILL.md. Thirteen packs in skills/, each just a folder. No installers, no frameworks, no signup.
Also published on lizliz.xyz/skills — same packs, browsable online.
Agent skills are instruction packs for coding AIs. Instead of re-explaining your process every session — "capture the page, check density, verify offline" — you hand the agent a skill folder and it follows the workflow, runs the scripts, and hits the same gates you would.檢視完整 README ↗Clone-and-use skill packs for AI coding assistants — Claude Code, Cursor, Codex, Hermes, or any agent that reads a SKILL.md. Fourteen packs in skills/, each just a folder. No installers, no frameworks, no signup.
Also published on lizliz.xyz/skills — same packs, browsable online.
graph TD
README["README.md — you are here"] --> SKILLS["skills/ · fourteen packs<br/>each: SKILL.md + optional scripts/ + references/ (+ evals/)"]
SKILLS --> VOICE["Voice & content<br/>doubao-tts · video-script-conversion · talkcut"]
SKILLS --> VISUAL["Replication & visual<br/>landing-page-replication-v5 · webgl-threejs-background-animation<br/>interactive-projects-stream · design-md-visual-system"]
SKILLS --> TOOLS["Data & tooling<br/>geo-job-hunt · seo-master · clerk-auth · feedback-pipeline"]
SKILLS --> NET["Network / infra<br/>ai-native-mihomo · ai-native-proof-ledger · cloudflare-cost-guard"]
SKILLS -.-> SITE["lizliz.xyz/skills"]
SKILLS -.->|"soft route"| DT["design-templates asset pack"]
Agent skills are instruction packs for coding AIs. Instead of re-explaining your process every session — "capture the page, check density, verify offline" — you hand the agent a skill folder and it follows the workflow, runs the scripts, and hits the same gates you would.
These packs come from real pipelines on lizliz.xyz: they were built to get actual work done, then packaged so anyone can reuse them. AI-Native Proof Ledger is a researched reference skill; Cloudflare Cost Guard combines official documentation with reviewed operational lessons; runtime coverage and delivery still require acceptance. Neither is presented as a production-validated pipeline. A skill is just a folder — SKILL.md (the workflow map) plus optional scripts/ and references/ that the agent loads when it needs them.
SKILL.md can follow the workflow; scripts are stdlib-only Python where possible.Pick one pack, or grab everything:
# Everything at once
git clone https://github.com/lizliz404/agent-skills.git
# ...then copy the pack folders you want into your agent's skills directory
# Or cherry-pick one pack straight into place
git clone --depth 1 https://github.com/lizliz404/agent-skills.git
cp -r agent-skills/skills/doubao-tts ~/.claude/skills/
Where "your agent's skills directory" lives:
| Agent | Path |
|---|---|
| Claude Code | ~/.claude/skills/ |
| Cursor | ~/.cursor/skills/ |
| Hermes | ~/.hermes/skills/ |
| Codex / others | check the agent's docs — most read SKILL.md from a skills folder |
Some packs need environment variables (AMAP_MAPS_API_KEY, MCP_LIEPIN_API_KEY, DOUBAO_API_KEY) — each pack's README explains what it needs and where to get it.
Point your agent at the skill and let it work:
Use the landing-page-replication-v5 skill to copy https://example.com — capture, audit, and report the fidelity gates.
用 geo-job-hunt 技能:在天河区半径 5 公里内找前端岗位,反向确认公司,列 10 个可投的。
Each pack's SKILL.md starts with a workflow map, so the agent knows what to do without you spelling it out every time.
Every pack follows the same shape — progressive disclosure:
| Piece | Purpose |
|---|---|
SKILL.md | The workflow map and rules — loaded when the skill is invoked |
scripts/ | Run when a step needs computation (capture, transcribe, count, apply) |
references/ | Deep notes loaded on demand: API details, cases, checklists |
evals/ | Where provided: behavior scenarios or executable checks; declared cases alone are not passing test evidence |
The agent reads the map first and pulls in only the files the current task needs.
This repo exists because of a few beliefs:
Created by @lizliz404.
templates/sibling-routes.mdWEBGL_THEATER or agent chrome is the mechanism — it does not vendor those folders.MIT — Use it, modify it, share it.