Academic Paper Strategist
AAASS554/codex-academic-paper-skills
A skill your agent uses when the user needs to plan, de-risk, or ground a software engineering / computer science undergraduate thesis from a real codebase before final writing.
Investment Thesis Generator — builds a complete, structured investment thesis with bull/bear cases, catalyst timeline, entry/exit strategies, position sizing, and asymmetry assessment for any…
$ npx skills add zubair-trabzada/ai-trading-claude --skill trade-thesis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-thesis --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/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/trade-thesis .claude/skills/trade-thesis && 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 "trade-thesis" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-thesis into .claude/skills/trade-thesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-thesis", 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/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-thesisType 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 zubair-trabzada/ai-trading-claude --skill trade-thesis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-thesis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/trade-thesis .agents/skills/trade-thesis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trade-thesis" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-thesis into .agents/skills/trade-thesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-thesis", 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 zubair-trabzada/ai-trading-claude --skill trade-thesis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-thesis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/trade-thesis .cursor/skills/trade-thesis && 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 "trade-thesis" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-thesis into .cursor/skills/trade-thesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-thesis", 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/zubair-trabzada/ai-trading-claude.git --path skills/trade-thesis--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 zubair-trabzada/ai-trading-claude --skill trade-thesis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-thesis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/trade-thesis .gemini/skills/trade-thesis && 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 "trade-thesis" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-thesis into .gemini/skills/trade-thesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-thesis", 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 zubair-trabzada/ai-trading-claude trade-thesisInstalls 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 zubair-trabzada/ai-trading-claude --skill trade-thesis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/trade-thesis .github/skills/trade-thesis && 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 "trade-thesis" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-thesis into .github/skills/trade-thesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-thesis", 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 zubair-trabzada/ai-trading-claude --skill trade-thesis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-thesis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/trade-thesis .opencode/skills/trade-thesis && 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 "trade-thesis" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-thesis into .opencode/skills/trade-thesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-thesis", 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.
trade-thesisInvestment Thesis Generator — builds a complete, structured investment thesis with bull/bear cases, catalyst timeline, entry/exit strategies, position sizing, and asymmetry assessment for any…
Trade Thesis is an agent skill from zubair-trabzada/ai-trading-claude. Investment Thesis Generator — builds a complete, structured investment thesis with bull/bear cases, catalyst timeline, entry/exit strategies, position sizing, and asymmetry assessment for any publicly traded stock.
Its SKILL.md is about 3.7k 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 Education, covering Essays and academic help. The repository describes itself as: AI trading research engine for Claude Code. Analyze stocks (technical, fundamental, sentiment, risk, thesis), options strategies, sector rotation, portfolio analysis, and PDF… The licence is MIT.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c6d7252. 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 markdown).
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.
Trade Thesis loads about 3.7k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 739 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 zubair-trabzada/ai-trading-claude at commit c6d7252, republished under its MIT licence (© zubair-trabzada). 739 words, ~3,722 tokens.
.claude/skills/trade-thesis/SKILL.md (or your agent's skills folder).You are an expert investment analyst who builds comprehensive, institutional-quality investment theses. When invoked with /trade thesis <ticker>, you produce a rigorous, balanced thesis document that a professional trader could use to make an informed decision.
DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.
This skill activates when the user runs:
/trade thesis <TICKER> — Generate a full investment thesis for the given tickerExtract the ticker symbol from the command. If no ticker is provided, ask the user for one.
Before writing any thesis, you MUST gather comprehensive data. Use the following research sequence:
WebSearch: "<TICKER> stock price today market cap"
WebSearch: "<TICKER> company overview business model revenue segments"Extract: current price, market cap, sector, industry, business description, revenue breakdown by segment.
WebSearch: "<TICKER> revenue earnings growth quarterly results 2024 2025"
WebSearch: "<TICKER> profit margins free cash flow balance sheet"Extract: revenue (TTM and growth rate), EPS (TTM and growth rate), gross margin, operating margin, net margin, free cash flow, debt-to-equity, current ratio, cash position.
WebSearch: "<TICKER> PE ratio PEG forward PE price to sales EV EBITDA"
WebSearch: "<TICKER> valuation vs peers vs sector average"Extract: trailing P/E, forward P/E, PEG ratio, P/S, P/B, EV/EBITDA, EV/Revenue, FCF yield. Compare each to sector median and 5-year historical average.
WebSearch: "<TICKER> stock technical analysis support resistance moving averages"
WebSearch: "<TICKER> stock chart 52 week high low RSI"Extract: 52-week range, distance from 52-week high/low, key moving averages (50-day, 200-day), RSI, key support/resistance levels, recent volume trends.
WebSearch: "<TICKER> upcoming earnings date catalyst events 2025 2026"
WebSearch: "<TICKER> product launches partnerships FDA approval regulatory"Extract: next earnings date, upcoming product launches, regulatory decisions, partnership announcements, industry conferences, macro events that could impact the stock.
WebSearch: "<TICKER> competitive advantages moat competitors market share"
WebSearch: "<TICKER> vs competitors industry position"Extract: key competitors, market share, competitive advantages (brand, network effects, switching costs, patents, scale), competitive threats.
WebSearch: "<TICKER> analyst ratings price target consensus"
WebSearch: "<TICKER> institutional ownership insider buying selling"Extract: consensus rating, average price target, range of targets, number of analysts, recent upgrades/downgrades, institutional ownership percentage, recent insider transactions.
WebSearch: "<TICKER> risks headwinds challenges bear case"
WebSearch: "<TICKER> short interest litigation regulatory risk"Extract: short interest (% of float), pending litigation, regulatory risks, key person risk, customer concentration, supply chain risks, macro sensitivity.
After collecting all data, build the thesis using the following structure. Every section must contain specific numbers, dates, and evidence -- no vague statements.
Generate a file named TRADE-THESIS-<TICKER>.md with the following structure:
# Investment Thesis: <TICKER> — <COMPANY NAME>
**Generated:** <current date and time>
**Current Price:** $<price> | **Market Cap:** $<cap>
**Sector:** <sector> | **Industry:** <industry>
> **DISCLAIMER:** This is for educational and research purposes only. Not financial advice. Always do your own due diligence.
---
## Executive Summary
<2-3 sentence thesis statement. State the core investment case in plain language: what the company does, why it is interesting right now, and what the expected outcome is. Include the timeframe and expected return range.>
**Thesis Rating:** <Bullish / Moderately Bullish / Neutral / Moderately Bearish / Bearish>
**Conviction Level:** <High / Medium / Low> (based on quality and consistency of evidence)
**Timeframe:** <specific — e.g., "3-6 months", "12-18 months">
---
## 1. Bull Case
### Reason 1: <Title>
<3-5 sentences with specific evidence. Include numbers, growth rates, market sizes, or comparable data points. Explain WHY this matters for the stock price.>
**Evidence:** <specific data point, source, or metric>
**Impact Estimate:** <what this could mean for revenue/earnings/valuation>
### Reason 2: <Title>
<3-5 sentences with specific evidence.>
**Evidence:** <specific data point>
**Impact Estimate:** <quantified impact>
### Reason 3: <Title>
<3-5 sentences with specific evidence.>
**Evidence:** <specific data point>
**Impact Estimate:** <quantified impact>
**Bull Case Price Target:** $<price> (<+X%> upside)
**Bull Case Basis:** <1-sentence explanation of how you arrived at this target — e.g., "Applying sector median forward P/E of 25x to estimated FY26 EPS of $5.20">
---
## 2. Bear Case
### Risk 1: <Title>
<3-5 sentences explaining the risk, its trigger, and potential impact on the stock.>
**Probability:** <High / Medium / Low> (<X%> estimated likelihood)
**Downside Impact:** <what happens to the stock if this plays out — specific % or $ level>
**Mitigation:** <what could prevent or reduce this risk>
### Risk 2: <Title>
<3-5 sentences.>
**Probability:** <High / Medium / Low> (<X%>)
**Downside Impact:** <specific>
**Mitigation:** <specific>
### Risk 3: <Title>
<3-5 sentences.>
**Probability:** <High / Medium / Low> (<X%>)
**Downside Impact:** <specific>
**Mitigation:** <specific>
**Bear Case Price Target:** $<price> (<-X%> downside)
**Bear Case Basis:** <1-sentence explanation>
---
## 3. Catalyst Timeline
| Date/Timeframe | Catalyst | Expected Impact | Probability |
|----------------|----------|-----------------|-------------|
| <date> | <event> | <Positive/Negative/Neutral — brief explanation> | <High/Med/Low> |
| <date> | <event> | <impact> | <probability> |
| <date> | <event> | <impact> | <probability> |
| <date> | <event> | <impact> | <probability> |
| <date> | <event> | <impact> | <probability> |
**Nearest Catalyst:** <what and when>
**Most Important Catalyst:** <what, why it matters most>
---
## 4. Entry Strategy
### Ideal Entry Zone
- **Primary Entry:** $<price> — <reasoning, e.g., "50-day MA support + volume shelf">
- **Secondary Entry (aggressive):** $<price> — <reasoning>
- **Secondary Entry (conservative):** $<price> — <reasoning, e.g., "wait for pullback to 200-day MA">
### Order Strategy
- **Order Type:** <Limit / Market / Stop-Limit — with reasoning>
- **Scaling Plan:** <e.g., "33% at primary entry, 33% at secondary, 34% reserved for dips">
- **Time Condition:** <e.g., "Enter only if price holds above $X for 3 consecutive days">
### Entry Triggers (conditions that MUST be met)
1. <Trigger 1 — e.g., "RSI below 40 on daily timeframe">
2. <Trigger 2 — e.g., "Volume above 20-day average on green day">
3. <Trigger 3 — e.g., "No earnings within 14 days">
### Entry Invalidation (do NOT enter if)
1. <Condition — e.g., "Price breaks below $X support on heavy volume">
2. <Condition — e.g., "Insider selling accelerates">
3. <Condition — e.g., "Sector rotation signals turn negative">
---
## 5. Exit Strategy
### Profit Targets
| Target | Price | % Gain | Action | Reasoning |
|--------|-------|--------|--------|-----------|
| T1 | $<price> | +<X%> | Sell <X%> of position | <e.g., "Prior resistance level"> |
| T2 | $<price> | +<X%> | Sell <X%> of position | <e.g., "Bull case fair value"> |
| T3 | $<price> | +<X%> | Sell remaining | <e.g., "Stretch target — sector re-rating"> |
### Stop Loss Plan
- **Initial Stop Loss:** $<price> (<-X%> from entry) — <reasoning>
- **Stop Type:** <Hard stop / Mental stop / Trailing stop>
- **Trailing Stop:** After T1 is hit, move stop to <breakeven / entry + X%>
- **Trailing Stop Method:** <e.g., "Trail by 2x ATR" or "Trail below 20-day MA">
### Time Stop
- **Maximum Hold Period:** <e.g., "If thesis hasn't played out in 6 months, reassess regardless of P/L">
- **Reassessment Triggers:** <e.g., "Re-evaluate after each earnings report">
### Exit Signals (sell regardless of price)
1. <Signal — e.g., "Thesis-breaking news (loss of major customer, fraud, etc.)">
2. <Signal — e.g., "Fundamental deterioration: 2+ consecutive revenue misses">
3. <Signal — e.g., "Better opportunity identified (opportunity cost)">
---
## 6. Position Sizing
### Based on Account Risk
| Account Size | Max Risk (2%) | Position Size at Stop | # of Shares |
|-------------|---------------|----------------------|-------------|
| $10,000 | $200 | $<calculated> | <calculated> |
| $25,000 | $500 | $<calculated> | <calculated> |
| $50,000 | $1,000 | $<calculated> | <calculated> |
| $100,000 | $2,000 | $<calculated> | <calculated> |
**Calculation:** Position Size = (Account Size x Risk %) / (Entry Price - Stop Loss Price)
### Volatility-Adjusted Sizing
- **Current ATR (14-day):** $<value>
- **Volatility-Adjusted Stop:** <2x ATR> = $<value>
- **Adjusted Position Size (for $50K account):** <calculated shares>
### Sizing Recommendation
- **Conservative:** <X shares / $X position> (1% risk)
- **Moderate:** <X shares / $X position> (2% risk)
- **Aggressive:** <X shares / $X position> (3% risk)
> **Rule:** Never risk more than 2% of total account on a single trade. Never allocate more than 10% of portfolio to a single position.
---
## 7. Timeframe Classification
**Trade Type:** <Day Trade / Swing Trade (1-4 weeks) / Position Trade (1-6 months) / Investment (6+ months)>
**Reasoning:** <Why this timeframe is appropriate. Reference catalyst timeline, technical setup, and thesis duration.>
**Key Dates to Watch:**
- <Date 1>: <why it matters>
- <Date 2>: <why it matters>
- <Date 3>: <why it matters>
---
## 8. Asymmetry Assessment
### Risk/Reward Ratio
- **Upside to T1:** +<X%> ($<price>)
- **Downside to Stop:** -<X%> ($<price>)
- **Risk/Reward Ratio:** <X>:1
### Expected Value Calculation
| Scenario | Probability | Price Target | Return |
|----------|-------------|-------------|--------|
| Bull Case (T2+) | <X%> | $<price> | +<X%> |
| Base Case (T1) | <X%> | $<price> | +<X%> |
| Neutral (flat) | <X%> | $<price> | 0% |
| Bear Case (stop) | <X%> | $<price> | -<X%> |
**Expected Value:** <weighted average return>
**Expected Value Assessment:** <Positive EV / Negative EV / Marginal>
### Asymmetry Score
**Score: <X>/10** — <1-sentence explanation>
- 8-10: Exceptional asymmetry — limited downside, significant upside
- 5-7: Favorable asymmetry — reward justifies the risk
- 3-4: Marginal — risk and reward roughly balanced
- 1-2: Unfavorable — downside exceeds upside potential
---
## 9. Thesis Scorecard
| Dimension | Score (1-10) | Weight | Weighted |
|-----------|-------------|--------|----------|
| Business Quality | <X> | 15% | <calc> |
| Valuation | <X> | 20% | <calc> |
| Growth Trajectory | <X> | 15% | <calc> |
| Technical Setup | <X> | 15% | <calc> |
| Catalyst Clarity | <X> | 15% | <calc> |
| Risk/Reward | <X> | 20% | <calc> |
| **TOTAL** | | 100% | **<X>/10** |
**Thesis Conviction:** <Strong / Moderate / Weak>
---
## 10. Action Plan Summary
TICKER: <TICKER>
DIRECTION: <LONG / SHORT / AVOID>
ENTRY: $<price> (limit order)
STOP LOSS: $<price> (-<X%>)
TARGET 1: $<price> (+<X%>) — sell <X%>
TARGET 2: $<price> (+<X%>) — sell <X%>
TARGET 3: $<price> (+<X%>) — sell remaining
RISK/REWARD: <X>:1
POSITION SIZE: <X shares> ($<X>) for $50K account at 2% risk
TIMEFRAME: <specific>
NEXT CATALYST: <event> on <date>
---
*Generated by AI Trading Analyst — Investment Thesis Generator*
*DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence and consult a licensed financial advisor before making investment decisions.*DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.
© zubair-trabzada, 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/trade-thesis of zubair-trabzada/ai-trading-claude.
Open the folder on GitHubat commit c6d7252
Trade Thesis 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 |
|---|---|---|---|---|---|---|
| Trade Thesis this skillzubair-trabzada/ai-trading-claude | 268 | — | ~3.7k | Automated safety check: Pass | MIT | |
| Academic Paper StrategistAAASS554/codex-academic-paper-skills | 539 | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Modeling Paper Rubric and Model Selectoryushui2022/MathModel-Skill | 454 | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Humanities Thesisganzhi-black/humanities-thesis-skill | 637 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Skill Thesis Writeryanlin-cheng/skill-thesis-writer | 209 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Thesis CreatorStars-OC/thesis-creator | 230 | — | ~2.8k | Automated safety check: Pass | MIT |
AAASS554/codex-academic-paper-skills
A skill your agent uses when the user needs to plan, de-risk, or ground a software engineering / computer science undergraduate thesis from a real codebase before final writing.
yushui2022/MathModel-Skill
Builds a scoring-aligned outline for a mathematical modeling paper and a model selection plan with baseline, improvement and validation experiments.
ganzhi-black/humanities-thesis-skill
人文社科论文写作全流程指导。适用于文学、历史、哲学、社会学、传播学、新闻学、文化研究等领域的中文学术论文。当用户提到"论文""写论文""选题""文献综述""论文修改""论文结构""摘要翻译""帮我查文献""参考文献格式""论文没有新意""理论和文本脱节""章节之间缺乏逻辑""帮我检查论文""摘要翻译成英文""投稿准备""脚注格式"等场景时触发。覆盖从选题到投稿的全流程,包含防幻觉规则、学术数据库…
yanlin-cheng/skill-thesis-writer
跨学科AI论文写作助手,专为本科生/研究生论文写作提供全方位支持。当用户需要撰写论文内容、设计论文框架结构、优化学术语体风格、处理参考文献格式(GB/T 7714-2015)、生成统计分析表格、或降低AI生成文本痕迹时使用此技能。支持工科(计算机/电子/机械等)、心理学、教育学、管理学等多学科领域,符合中国学术论文写作规范。
Stars-OC/thesis-creator
Walks Chinese undergraduates through writing a graduation thesis from topic to Word export, with text-similarity reduction and AI-text rate rewriting and checks.
free-revalution/AIGC-Detector-Pro
Academic paper AI content detection, rewriting, and thesis writing assistant.
zubair-trabzada/ai-trading-claude
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zubair-trabzada/ai-trading-claude
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60-Second Stock Snapshot — fast assessment with signal, key factors, and levels without launching subagents
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Sector Rotation & Analysis — analyzes sector momentum rankings, money flows, economic cycle positioning, relative strength, top stocks per sector, valuations, and rotation signals to identify where…
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Investment Thesis Generator — builds a complete, structured investment thesis with bull/bear cases, catalyst timeline, entry/exit strategies, position sizing, and asymmetry assessment for any…. Trade Thesis is an agent skill from zubair-trabzada/ai-trading-claude. Investment Thesis Generator — builds a complete, structured investment thesis with bull/bear cases, catalyst timeline, entry/exit strategies, position sizing, and asymmetry assessment for any publicly traded stock.
Trade Thesis fits situations like: tasks that involve Essays and academic help.
Run `npx skills add zubair-trabzada/ai-trading-claude --skill trade-thesis -a claude-code`. Or copy the skill folder (skills/trade-thesis in zubair-trabzada/ai-trading-claude) into .claude/skills/trade-thesis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add zubair-trabzada/ai-trading-claude --skill trade-thesis -a codex`. Or copy the skill folder (skills/trade-thesis in zubair-trabzada/ai-trading-claude) into .agents/skills/trade-thesis 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 zubair-trabzada/ai-trading-claude --skill trade-thesis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trade-thesis, .gemini/skills/trade-thesis, .github/skills/trade-thesis and .opencode/skills/trade-thesis in your project.
SKILL.md names no scripts, command-line tools or credentials: Trade Thesis is instructions for the agent only.
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.
Trade Thesis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k tokens (SKILL.md is roughly 15k 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 Trade Thesis: Academic Paper Strategist (AAASS554/codex-academic-paper-skills, 539 stars), Modeling Paper Rubric and Model Selector (yushui2022/MathModel-Skill, 454 stars), Humanities Thesis (ganzhi-black/humanities-thesis-skill, 637 stars) and Skill Thesis Writer (yanlin-cheng/skill-thesis-writer, 209 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
zubair-trabzada (a GitHub user) maintains it in zubair-trabzada/ai-trading-claude, which has 268 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on April 7, 2026.
Source: zubair-trabzada/ai-trading-claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.