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。
Guides equity compensation planning for wealth management clients: RSU vesting and the supplemental-withholding gap, NSO and ISO exercise taxation, AMT on ISO spreads and the AMT credit, qualifying…
$ npx skills add JoelLewis/finance_skills --skill equity-compensation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install JoelLewis/finance_skills equity-compensation --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/JoelLewis/finance_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/wealth-management/skills/equity-compensation .claude/skills/equity-compensation && 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 "equity-compensation" agent skill from https://github.com/JoelLewis/finance_skills/tree/main/plugins/wealth-management/skills/equity-compensation into .claude/skills/equity-compensation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "equity-compensation", 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/JoelLewis/finance_skills/tree/main/plugins/wealth-management/skills/equity-compensationType 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 JoelLewis/finance_skills --skill equity-compensation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install JoelLewis/finance_skills equity-compensation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JoelLewis/finance_skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/wealth-management/skills/equity-compensation .agents/skills/equity-compensation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "equity-compensation" agent skill from https://github.com/JoelLewis/finance_skills/tree/main/plugins/wealth-management/skills/equity-compensation into .agents/skills/equity-compensation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "equity-compensation", 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 JoelLewis/finance_skills --skill equity-compensation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install JoelLewis/finance_skills equity-compensation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JoelLewis/finance_skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/wealth-management/skills/equity-compensation .cursor/skills/equity-compensation && 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 "equity-compensation" agent skill from https://github.com/JoelLewis/finance_skills/tree/main/plugins/wealth-management/skills/equity-compensation into .cursor/skills/equity-compensation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "equity-compensation", 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/JoelLewis/finance_skills.git --path plugins/wealth-management/skills/equity-compensation--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 JoelLewis/finance_skills --skill equity-compensation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install JoelLewis/finance_skills equity-compensation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JoelLewis/finance_skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/wealth-management/skills/equity-compensation .gemini/skills/equity-compensation && 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 "equity-compensation" agent skill from https://github.com/JoelLewis/finance_skills/tree/main/plugins/wealth-management/skills/equity-compensation into .gemini/skills/equity-compensation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "equity-compensation", 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 JoelLewis/finance_skills equity-compensationInstalls 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 JoelLewis/finance_skills --skill equity-compensation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/JoelLewis/finance_skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/wealth-management/skills/equity-compensation .github/skills/equity-compensation && 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 "equity-compensation" agent skill from https://github.com/JoelLewis/finance_skills/tree/main/plugins/wealth-management/skills/equity-compensation into .github/skills/equity-compensation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "equity-compensation", 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 JoelLewis/finance_skills --skill equity-compensation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install JoelLewis/finance_skills equity-compensation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JoelLewis/finance_skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/wealth-management/skills/equity-compensation .opencode/skills/equity-compensation && 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 "equity-compensation" agent skill from https://github.com/JoelLewis/finance_skills/tree/main/plugins/wealth-management/skills/equity-compensation into .opencode/skills/equity-compensation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "equity-compensation", 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.
equity-compensationGuides equity compensation planning for wealth management clients: RSU vesting and the supplemental-withholding gap, NSO and ISO exercise taxation, AMT on ISO spreads and the AMT credit, qualifying…
Equity Compensation is an agent skill from JoelLewis/finance_skills. Guides equity compensation planning for wealth management clients: RSU vesting and the supplemental-withholding gap, NSO and ISO exercise taxation, AMT on ISO spreads and the AMT credit, qualifying vs disqualifying dispositions, 83(b) elections for restricted stock, qualified Section 423 ESPPs, and managing concentrated employer stock (staged diversification, exchange funds, protective collars, charitable strategies, Rule 10b5-1 trading plans, Section 16 insider constraints). Use when the user asks about stock…
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/equity_compensation.py`).
It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: Claude Code skill plugins for financial services — 81 skills across 7 domain plugins covering investment management, compliance, advisory practice, trading, and operations. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5c498ea. 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/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvpython3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
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.
Equity Compensation loads about 4.3k tokens when it runs. Until then it costs about 212 tokens; SKILL.md has 2,362 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 JoelLewis/finance_skills at commit 5c498ea, republished under its MIT licence (© JoelLewis). 2,362 words, ~4,332 tokens.
.claude/skills/equity-compensation/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.RSUs are a promise of shares delivered at vesting. There is no election to make and no exercise decision:
The alternative minimum tax is a parallel tax computation. Simplified flow:
AMT credit: AMT paid on deferral items (like the ISO spread) generates a minimum tax credit carried forward indefinitely, usable in future years when regular tax exceeds TMT. The ISO AMT is largely a prepayment, not a permanent cost — but the credit can take many years to recover. Shares exercised also get a higher AMT basis (FMV at exercise), so a later qualifying sale produces a smaller AMT gain, helping unlock the credit.
Planning levers: Exercise early in the year (option to disqualify before Dec 31 if the stock collapses — the classic dot-com trap was owing AMT on vanished paper gains); exercise only up to the "AMT crossover" amount where TMT just equals regular tax; spread exercises across years.
For restricted stock (including early-exercised options), Section 83(b) lets the holder elect to be taxed at grant/early-exercise on (FMV − price paid) rather than at vesting:
A single position above roughly 10% of net worth warrants a plan. Tools, in rough order of simplicity:
| Formula | Expression | Use Case |
|---|---|---|
| RSU income at vest | shares × FMV_vest | Ordinary W-2 income |
| RSU withholding gap | income × (t_marginal − t_supplemental) | Estimated additional tax due in April |
| NSO ordinary income | shares × (FMV_exercise − strike) | Taxed at exercise, ordinary rates |
| ISO AMT preference | shares × (FMV_exercise − strike) | Added to AMTI in exercise year |
| Tentative minimum tax | 26% × base up to breakpoint + 28% × excess, base = AMTI − exemption | Parallel AMT computation |
| AMT due / credit | max(0, TMT − regular tax) | Incremental tax; credit carryforward for deferral items |
| Disqualifying ISO ordinary income | min(FMV_exercise, sale price) − strike, floored at 0 | Ordinary portion when holding test fails |
| ESPP qualifying ordinary income | min(actual gain, discount% × offer-date FMV) | Ordinary portion; remainder LTCG |
Given: 10,000 RSUs vest at $40/share. Employer withholds federal tax at the 22% supplemental rate (net-share settlement). Client's actual federal marginal rate: 35%. Solution:
Given: Exercise 5,000 ISOs, strike $10, FMV at exercise $50, and hold the shares. Other AMTI (income after regular deductions, before the spread): $250,000 MFJ. Regular tax: $60,000. Illustrative AMT parameters: exemption $137,000 with no phaseout at this income level, 28% rate above $220,000 of AMT base (both figures indexed — verify current year). Solution:
Given: 2,000 ISOs, strike $15, exercised at FMV $35, later sold at $60. Ordinary/STCG rate 35%, LTCG rate 15%. Qualifying (>2 yrs from grant, >1 yr from exercise):
Run with uv run scripts/equity_compensation.py (the PEP 723 header resolves dependencies automatically) or directly with python3 scripts/equity_compensation.py (standard library only). The bare run prints a demo covering RSU vest withholding and the withholding gap, an NSO exercise, the simplified ISO/AMT computation, qualifying vs disqualifying ISO dispositions, and ESPP purchase/disposition taxation. Pass --verify to assert the outputs match this skill's worked examples (prints PASS/FAIL and exits nonzero on mismatch), or --help for an overview of the available methods. The file is primarily meant to be imported as a module (e.g., from equity_compensation import EquityCompensation).
© JoelLewis, 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 1 other file (scripts) in plugins/wealth-management/skills/equity-compensation of JoelLewis/finance_skills.
Open the folder on GitHubat commit 5c498ea
Equity Compensation 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 |
|---|---|---|---|---|---|---|
| Equity Compensation this skillJoelLewis/finance_skills | 206 | — | ~4.3k | 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.
JoelLewis/finance_skills
Determine how to distribute capital across asset classes using strategic and tactical allocation frameworks.
JoelLewis/finance_skills
Determine how much capital to allocate to individual positions within a portfolio.
JoelLewis/finance_skills
Analyze commodity markets including futures curve dynamics, roll yield, and supply/demand fundamentals.
JoelLewis/finance_skills
Analyze currency markets, exchange rate mechanics, and FX risk management for international portfolios.
JoelLewis/finance_skills
Provide frameworks for managing and paying off personal debt effectively.
JoelLewis/finance_skills
Build diversified portfolios using correlation analysis, efficient frontier construction, and factor-based diversification.
Categories
Guides equity compensation planning for wealth management clients: RSU vesting and the supplemental-withholding gap, NSO and ISO exercise taxation, AMT on ISO spreads and the AMT credit, qualifying…. Equity Compensation is an agent skill from JoelLewis/finance_skills. Guides equity compensation planning for wealth management clients: RSU vesting and the supplemental-withholding gap, NSO and ISO exercise taxation, AMT on ISO spreads and the AMT credit, qualifying vs disqualifying dispositions, 83(b) elections for restricted stock, qualified Section 423 ESPPs, and managing concentrated employer stock (staged diversification, exchange funds, protective collars, charitable strategies, Rule 10b5-1 trading plans, Section 16 insider constraints).
Equity Compensation fits situations like: the user asks about stock options; trading windows — e.g.
Run `npx skills add JoelLewis/finance_skills --skill equity-compensation -a claude-code`. Or copy the skill folder (plugins/wealth-management/skills/equity-compensation in JoelLewis/finance_skills) into .claude/skills/equity-compensation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add JoelLewis/finance_skills --skill equity-compensation -a codex`. Or copy the skill folder (plugins/wealth-management/skills/equity-compensation in JoelLewis/finance_skills) into .agents/skills/equity-compensation 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 JoelLewis/finance_skills --skill equity-compensation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/equity-compensation, .gemini/skills/equity-compensation, .github/skills/equity-compensation and .opencode/skills/equity-compensation in your project.
Going by SKILL.md and its folder, Equity Compensation needs Python for the scripts in its folder and the command-line tools its instructions call (uv and python3). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. 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.
Equity Compensation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.3k tokens (SKILL.md is roughly 17k 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 Equity Compensation: 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.
JoelLewis (a GitHub user) maintains it in JoelLewis/finance_skills, which has 206 GitHub stars. The repository holds 91 skills in this directory. The repository was last updated on July 18, 2026.
Source: JoelLewis/finance_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.