Tushare Data
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
A skill your agent uses when adding a regime filter to any directional strategy — regime gate, trend filter, directional confirmation, ADX gate, EMA-separation filter, trade-or-skip overlay.
$ npx skills add Superior-Trade/superior-skills --skill regime-overlay -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Superior-Trade/superior-skills regime-overlay --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/regime-overlay .claude/skills/regime-overlay && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "regime-overlay" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/regime-overlay into .claude/skills/regime-overlay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regime-overlay", 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.
$skill-installer install https://github.com/Superior-Trade/superior-skills/tree/main/skills/regime-overlayType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Superior-Trade/superior-skills --skill regime-overlay -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Superior-Trade/superior-skills regime-overlay --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/regime-overlay .agents/skills/regime-overlay && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "regime-overlay" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/regime-overlay into .agents/skills/regime-overlay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regime-overlay", 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 Superior-Trade/superior-skills --skill regime-overlay -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Superior-Trade/superior-skills regime-overlay --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/regime-overlay .cursor/skills/regime-overlay && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "regime-overlay" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/regime-overlay into .cursor/skills/regime-overlay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regime-overlay", 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.
$ gemini skills install https://github.com/Superior-Trade/superior-skills.git --path skills/regime-overlay--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Superior-Trade/superior-skills --skill regime-overlay -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Superior-Trade/superior-skills regime-overlay --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/regime-overlay .gemini/skills/regime-overlay && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "regime-overlay" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/regime-overlay into .gemini/skills/regime-overlay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regime-overlay", 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 Superior-Trade/superior-skills regime-overlayInstalls 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 Superior-Trade/superior-skills --skill regime-overlay -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/regime-overlay .github/skills/regime-overlay && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "regime-overlay" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/regime-overlay into .github/skills/regime-overlay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regime-overlay", 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 Superior-Trade/superior-skills --skill regime-overlay -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Superior-Trade/superior-skills regime-overlay --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/regime-overlay .opencode/skills/regime-overlay && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "regime-overlay" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/regime-overlay into .opencode/skills/regime-overlay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regime-overlay", 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.
regime-overlayA skill your agent uses when adding a regime filter to any directional strategy — regime gate, trend filter, directional confirmation, ADX gate, EMA-separation filter, trade-or-skip overlay.
Regime Overlay is an agent skill from Superior-Trade/superior-skills. Use when adding a regime filter to any directional strategy — regime gate, trend filter, directional confirmation, ADX gate, EMA-separation filter, trade-or-skip overlay. Provides three reusable gates (regimestrongbear, regimestrongbull, regimerange) that wrap entry signals with triple confirmation.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: Open agent skills and tool schemas for Superior Trade — build, backtest, and deploy trading strategies on Hyperliquid. The licence is MIT.
Read from SKILL.md and the folder at commit 9d41db5. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Regime Overlay loads about 1.3k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 555 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); files beside SKILL.md are not scanned.
The full file from Superior-Trade/superior-skills at commit 9d41db5, republished under its MIT licence (© Superior-Trade). 555 words, ~1,323 tokens.
.claude/skills/regime-overlay/SKILL.md (or your agent's skills folder).A reusable filter that wraps any directional strategy and only allows entries when three independent regime confirmations align. Validated as the difference between a fragile and a robust trend strategy.
Searchable under: regime filter, trend gate, trade-or-skip filter, directional confirmation, ADX gate.
After 21 backtests, the single biggest performance lever was not entry logic, stop sizing, or trailing config. It was whether the strategy traded at all during specific market structure.
The proof:
The first version captured a real edge mixed with random noise. The third version captured only the real edge. Smaller absolute return; cleaner equity curve; no losing periods.
A signal is "in regime" when ALL three of these hold simultaneously:
| Indicator | Threshold | What it confirms |
|---|---|---|
(EMA50 - EMA200) / EMA200 | < -0.06 (for bear) | Structural trend direction — not a fresh cross, real separation |
ADX(14) | > 25 | Strength of the current trend |
close.pct_change(30) | < -0.10 (for bear) | Recent momentum is actually moving |
Three independent angles — structure, strength, recency. A market can satisfy any one or two by accident; satisfying all three is genuinely rare and genuinely informative.
For long-side strategies, invert the signs:
(EMA50 - EMA200) / EMA200 > +0.06ADX(14) > 25 (same — ADX is direction-agnostic)close.pct_change(30) > +0.10def regime_strong_bear(df: pd.DataFrame) -> pd.Series:
ema50 = ta.EMA(df, timeperiod=50)
ema200 = ta.EMA(df, timeperiod=200)
adx = ta.ADX(df, timeperiod=14)
ema_sep = (ema50 - ema200) / ema200
ret_30 = df["close"].pct_change(30)
return (ema_sep < -0.06) & (adx > 25) & (ret_30 < -0.10)
def regime_strong_bull(df: pd.DataFrame) -> pd.Series:
ema50 = ta.EMA(df, timeperiod=50)
ema200 = ta.EMA(df, timeperiod=200)
adx = ta.ADX(df, timeperiod=14)
ema_sep = (ema50 - ema200) / ema200
ret_30 = df["close"].pct_change(30)
return (ema_sep > 0.06) & (adx > 25) & (ret_30 > 0.10)
def regime_range(df: pd.DataFrame) -> pd.Series:
adx = ta.ADX(df, timeperiod=14)
return adx < 25The range-regime check is the opposite end of the spectrum — useful for gating mean-reversion strategies (see bollinger-reverter-4h).
Apply this overlay to any signal-driven entry. The cost is fewer trades; the benefit is the trades you do take fire in the right environment.
| Strategy | Without overlay | With overlay |
|---|---|---|
| Donchian breakdown BTC | 23 trades, 56.5% win, +12.85%, 3.69% DD | 6 trades, 100% win, +6.69%, 0% DD |
| (Same, second-half only) | 8 trades, 25% win, -4.32% | 0 trades, no PnL |
The overlay traded the second column's win rate and drawdown for the first column's absolute return. Most production strategies should prefer the second column.
| Parameter | Conservative | Aggressive | Notes |
|---|---|---|---|
| EMA separation threshold | 0.08 | 0.04 | Tighter = wait for deeper structural moves |
| ADX threshold | 30 | 20 | Higher = stricter trend-strength requirement |
| Return lookback bars | 40 | 20 | Window for "actual momentum" check |
| Return threshold | 0.15 | 0.06 | How much momentum needed |
Start conservative (0.06 / 25 / -0.10). Loosen only if the gate eliminates so many trades that the strategy's edge can't compound.
bollinger-reverter-4h) work IN range regimes — use regime_range (ADX < 25) instead of bear/bull strong gatesMost directional strategies in this repo benefit from this overlay:
donchian-strong-regime — uses bear overlay (validated)The overlay file itself is regime-agnostic — it provides functions for both bear and bull, and a range complement.
© Superior-Trade, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/regime-overlay of Superior-Trade/superior-skills.
Open the folder on GitHubat commit 9d41db5
Regime Overlay 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 |
|---|---|---|---|---|---|---|
| Regime Overlay this skillSuperior-Trade/superior-skills | 215 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 322 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 878 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Polyclawchainstacklabs/polyclaw | 359 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Markdownfacioquo/stock-indicators-dotnet | 1.2k | — | ~812 | Automated safety check: Pass | Apache-2.0 |
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
atilaahmettaner/tradingview-mcp
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
chainstacklabs/polyclaw
Trade on Polymarket via split + CLOB execution. An agent skill from chainstacklabs/polyclaw.
facioquo/stock-indicators-dotnet
Format and lint Markdown in this repository against GitHub Flavored Markdown and its markdownlint-cli2 configuration — headers, lists, code fences, callouts (VitePress containers on docs-site pages…
MobiusQuant/OpenMobius-skill
Provides multi-school trading Q&A, chart/OHLCV analysis, annotation, and fresh-market workflows covering ICT/SMC, ChanLun, Wyckoff, Price Action, Order Flow, VSA, and Elliott Wave.
Superior-Trade/superior-skills
A skill your agent uses when an agent needs to register a Superior Trade account, verify an email OTP, configure x-api-key authentication, or recover from missing or invalid credentials before using…
Superior-Trade/superior-skills
A skill your agent uses when a user needs a QR code or wallet payment URI to fund a Superior-managed EVM wallet on a specific chain before using Lighter, Polymarket, Hyperliquid, or other Superior…
Superior-Trade/superior-skills
A skill your agent uses when a user wants to fund or bridge from an external wallet through a third-party UI such as Relay, especially when asking for MetaMask Mobile QR codes, bridge links…
Superior-Trade/superior-skills
A skill your agent uses when creating, validating, backtesting, deploying, sizing, or troubleshooting Aerodrome/Base spot trading strategies through the Superior Trade API, especially Freqtrade…
Superior-Trade/superior-skills
A skill your agent uses when the user wants to trade, research, or backtest Polymarket prediction markets through Superior Trade — finding markets by slug or event URL, placing a single immediate…
Superior-Trade/superior-skills
A skill your agent uses when running, interpreting, or designing backtests on Superior Trade — anything about backtest windows, trade-count thresholds, exit-reason mix, parameter sweeps…
Categories
A skill your agent uses when adding a regime filter to any directional strategy — regime gate, trend filter, directional confirmation, ADX gate, EMA-separation filter, trade-or-skip overlay. Regime Overlay is an agent skill from Superior-Trade/superior-skills. Use when adding a regime filter to any directional strategy — regime gate, trend filter, directional confirmation, ADX gate, EMA-separation filter, trade-or-skip overlay.
Regime Overlay fits situations like: adding a regime filter to any directional strategy — regime gate; directional confirmation; EMA-separation filter; trade-or-skip overlay.
Run `npx skills add Superior-Trade/superior-skills --skill regime-overlay -a claude-code`. Or copy the skill folder (skills/regime-overlay in Superior-Trade/superior-skills) into .claude/skills/regime-overlay in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Superior-Trade/superior-skills --skill regime-overlay -a codex`. Or copy the skill folder (skills/regime-overlay in Superior-Trade/superior-skills) into .agents/skills/regime-overlay 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 Superior-Trade/superior-skills --skill regime-overlay -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/regime-overlay, .gemini/skills/regime-overlay, .github/skills/regime-overlay and .opencode/skills/regime-overlay in your project.
SKILL.md names no scripts, command-line tools or credentials: Regime Overlay is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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. Review the folder before installing.
Regime Overlay is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Regime Overlay: Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 878 stars) and Polyclaw (chainstacklabs/polyclaw, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Superior-Trade (a GitHub organization) maintains it in Superior-Trade/superior-skills, which has 215 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on September 10, 2026.
Source: Superior-Trade/superior-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.