A Stock Prediction
digoal/blog
A股个股次日(T+1)走势预测 skill。当用户输入A股股票代码(如 600519、000858、300750、688981、430090)或公司名称(如"贵州茅台"、"宁德时代"、"比亚迪"),并要求预测次日走势、给出交易计划、评估盈亏概率时,触发本 skill。skill 会用 mcpMiniMaxwebsearch…
Build a terminal-style, always-running animated architecture diagram (a "live panel") from a JSON config and render it to an mp4.
$ npx skills add ythx-101/live-panel-skill --skill live-panel -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ythx-101/live-panel-skill live-panel --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "live-panel" agent skill from https://github.com/ythx-101/live-panel-skill/tree/main into .claude/skills/live-panel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "live-panel", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ythx-101/live-panel-skill --skill live-panel -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ythx-101/live-panel-skill live-panel --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "live-panel" agent skill from https://github.com/ythx-101/live-panel-skill/tree/main into .agents/skills/live-panel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "live-panel", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ythx-101/live-panel-skill --skill live-panel -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ythx-101/live-panel-skill live-panel --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "live-panel" agent skill from https://github.com/ythx-101/live-panel-skill/tree/main into .cursor/skills/live-panel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "live-panel", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ythx-101/live-panel-skill --skill live-panel -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ythx-101/live-panel-skill live-panel --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "live-panel" agent skill from https://github.com/ythx-101/live-panel-skill/tree/main into .gemini/skills/live-panel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "live-panel", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ythx-101/live-panel-skill live-panelInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ythx-101/live-panel-skill --skill live-panel -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "live-panel" agent skill from https://github.com/ythx-101/live-panel-skill/tree/main into .github/skills/live-panel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "live-panel", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ythx-101/live-panel-skill --skill live-panel -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ythx-101/live-panel-skill live-panel --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "live-panel" agent skill from https://github.com/ythx-101/live-panel-skill/tree/main into .opencode/skills/live-panel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "live-panel", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
live-panelBuild a terminal-style, always-running animated architecture diagram (a "live panel") from a JSON config and render it to an mp4.
Live Panel is an agent skill from ythx-101/live-panel-skill. Build a terminal-style, always-running animated architecture diagram (a "live panel") from a JSON config and render it to an mp4. Use when the user wants a system, agent or org architecture diagram that looks like a monitoring dashboard in a terminal window - fixed layout, glowing packets on the wires, scrolling log, counters, bars that flip state - as a screen-recording-style video or a live web page, instead of a static picture or a step-by-step reveal. 中文:当用户要做"活的"架构图、agent 树或系统监控面板风格的动画(mp4…
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 36 other files, including scripts, reference files and assets (for example `README.md`, `examples/agent-architecture/config.json` and `examples/airbnb/config.json`).
It sits in Development, covering Diagrams and Web search. It works with Xiaohongshu. The repository describes itself as: Config-driven animated architecture diagrams: turn one JSON file into a terminal-style, always-running diagram or a light-theme infographic that moves. Outputs H.264 mp4 or a… The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2a5dc1e. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
x.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Live Panel loads about 1.7k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 146 tokens; SKILL.md has 898 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from ythx-101/live-panel-skill at commit 2a5dc1e, republished under its MIT licence (© ythx-101). 898 words, ~1,713 tokens.
.claude/skills/live-panel/SKILL.md (or your agent's skills folder). This skill also uses 30 other files; get the full folder from GitHub.Turn a description of a system into an always-running architecture diagram: one fixed page that looks like a monitoring panel of a running system. Every frame is a complete, readable diagram; what moves is system state, not decoration. Two built-in themes: terminal-dark (the original look) and light-pastel (white background, rounded pastel boxes - for infographics, e.g. Xiaohongshu). Canvas presets: 4:5 (X, 1200x1500), 3:4 (Xiaohongshu, 1080x1440), 1:1 (1080x1080). Intended as the base for posts on X and Xiaohongshu.
Credit. The look and the motion idea come from an architecture-diagram clip by @thedelost (a Codex agent-tree panel, generated with GPT and screen-recorded as a web page): https://x.com/thedelost/status/2105398038026195279 . It reached many people through a quote-post by @slashui: https://x.com/slashui/status/2105850132365443528 . This skill is an independent re-implementation of the method (the motion grammar was learned by analysing that clip).
examples/codex-agents/is a recreation of the original picture and stays the original author's design. Keep this credit when you publish output made with the skill's Codex example.
A single JSON config (schema: references/config-schema.md). It holds everything: canvas size, colours, boxes with lines of text, wires, packet paths, side-rail triggers, log wording, numbers. The template never needs editing. Start from the closest example: examples/codex-agents/config.json (terminal-dark, 4:5, recreation of @thedelost's picture), examples/airbnb/config.json (terminal-dark, Chinese content, figures from an interview) or examples/agent-architecture/config.json (light-pastel, 3:4, a static Xiaohongshu infographic made to move, original by 小红书 @林纾). Theme: theme.preset; canvas: canvas.preset. Positions are absolute canvas pixels, so another aspect ratio needs its own config.
credit. Read references/motion-grammar.md before choosing machines and periods.python3 scripts/render.py --config my.json --out my.mp4 (needs Chrome/Chromium and ffmpeg on PATH, or --chrome / --ffmpeg; on macOS the browser is also found under /Applications/*.app). Linux and macOS only - on Windows run the scripts inside WSL. --html-out page.html also keeps the self-contained page, which runs live in any browser.python3 scripts/check_frames.py --config my.json --out-dir frames --repeat samples ~120 time points, measures text overflow and overlaps from the DOM, exports PNGs and proves replay determinism. Open the PNGs and look: the checker catches geometry, not taste. Fix the config and repeat until it exits 0.(Full text and rationale: references/motion-grammar.md.)
The page exposes window.seek(t). Every visual is a pure function of t (and a fixed integer seed for the few "random" picks): no wall clock, no Math.random, no CSS animation. The renderer calls seek(i/fps) and screenshots; check_frames.py --repeat seeks away and back and compares bytes. Opened in a normal browser (no ?manual), the same function is driven by requestAnimationFrame and loops.
assets/template.html - the generic page. scripts/render.py - mp4. scripts/check_frames.py - checks + PNGs. scripts/livepanel.py - shared helpers (Chrome over the DevTools pipe, stdlib only).references/motion-grammar.md, references/config-schema.md.examples/codex-agents/, examples/airbnb/, examples/agent-architecture/ - config, mp4 and screenshots.For infographics keep the original colours and structure; motion is gentler: small packets drift along every arrow, state-bound arrows turn the accent colour and carry two packets, active boxes get a glow, lists (steps, tools) light one row at a time from one shared cycle machine so that everything on screen refers to the same step. Use container:true on boxes that hold other boxes so the checker does not call nested boxes overlapping, and inside:true on icon text placed on a box.
Always put the original author and link of any picture you re-animate or recreate in the video footer (credit) and in the post. State when a figure is simulated.
© ythx-101, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 30 other files (scripts, references, assets) in the repository root of ythx-101/live-panel-skill.
Open the folder on GitHubat commit 2a5dc1e
Live Panel next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Live Panel this skillythx-101/live-panel-skill | 664 | — | ~1.7k | Automated safety check: Pass | MIT | |
| A Stock Predictiondigoal/blog | 8.6k | — | ~2.2k | Automated safety check: Pass | GPL-2.0 | |
| Us Stock Predictiondigoal/blog | 8.6k | — | ~1.9k | Automated safety check: Warn | GPL-2.0 | |
| Agent ReachPanniantong/Agent-Reach | 94k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Draw.io Diagram StudioAgents365-ai/drawio-skill | 10k | — | ~2.4k | Automated safety check: Notes | MIT | |
| SVG Diagram GeneratorJimLiu/baoyu-skills | 26k | 1 repos | ~3.1k | Automated safety check: Pass | MIT |
digoal/blog
A股个股次日(T+1)走势预测 skill。当用户输入A股股票代码(如 600519、000858、300750、688981、430090)或公司名称(如"贵州茅台"、"宁德时代"、"比亚迪"),并要求预测次日走势、给出交易计划、评估盈亏概率时,触发本 skill。skill 会用 mcpMiniMaxwebsearch…
digoal/blog
美股个股次日走势预测 skill。当用户输入美股股票代码(如 AAPL、TSLA)或公司名称(如 "苹果"、"特斯拉"),并要求预测次日(T+1)走势、给出交易计划、评估盈亏概率时,触发本 skill。skill 会用 mcpMiniMaxwebsearch 搜证盘前 90…
Panniantong/Agent-Reach
Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.
Agents365-ai/drawio-skill
Creates and edits editable draw.io diagrams from descriptions, code, infrastructure files, SQL and API schemas, with sync, review, test and export tools.
JimLiu/baoyu-skills
Creates standalone dark-themed SVG diagrams, including architecture, flowchart, sequence, structural, mind map, timeline and state machine types.
oil-oil/beautify-github-readme
Redesign GitHub README homepages or create project-native pure SVG, hybrid SVG-composed PNG/WebP, and opt-in animated GIF assets.
Works with
Build a terminal-style, always-running animated architecture diagram (a "live panel") from a JSON config and render it to an mp4. Live Panel is an agent skill from ythx-101/live-panel-skill. Build a terminal-style, always-running animated architecture diagram (a "live panel") from a JSON config and render it to an mp4.
Live Panel fits situations like: the user wants a system; org architecture diagram that looks like a monitoring dashboard in a terminal window - fixed layout; glowing packets on the wires; bars that flip state - as a screen-recording-style video.
Run `npx skills add ythx-101/live-panel-skill --skill live-panel -a claude-code`. Or copy the skill folder (the ythx-101/live-panel-skill repository) into .claude/skills/live-panel in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ythx-101/live-panel-skill --skill live-panel -a codex`. Or copy the skill folder (the ythx-101/live-panel-skill repository) into .agents/skills/live-panel in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ythx-101/live-panel-skill --skill live-panel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/live-panel, .gemini/skills/live-panel, .github/skills/live-panel and .opencode/skills/live-panel in your project.
Going by SKILL.md and its folder, Live Panel needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: x.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Live Panel is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Live Panel: A Stock Prediction (digoal/blog, 8.6k stars), Us Stock Prediction (digoal/blog, 8.6k stars), Agent Reach (Panniantong/Agent-Reach, 94k stars) and Draw.io Diagram Studio (Agents365-ai/drawio-skill, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ythx-101 (a GitHub user) maintains it in ythx-101/live-panel-skill, which has 664 GitHub stars. The repository was last updated on October 7, 2026.
Source: ythx-101/live-panel-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.