Cc Sdd New Agent
gotalab/cc-sdd
Add or extend coding-agent support in cc-sdd by executing the SOP in docs/cc-sdd/sop-new-agent.md end-to-end.
60-Second Stock Snapshot — fast assessment with signal, key factors, and levels without launching subagents
$ npx skills add zubair-trabzada/ai-trading-claude --skill trade-quick -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-quick --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-quick .claude/skills/trade-quick && 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-quick" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-quick into .claude/skills/trade-quick/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-quick", 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-quickType 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-quick -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-quick --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-quick .agents/skills/trade-quick && 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-quick" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-quick into .agents/skills/trade-quick/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-quick", 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-quick -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-quick --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-quick .cursor/skills/trade-quick && 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-quick" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-quick into .cursor/skills/trade-quick/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-quick", 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-quick--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-quick -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-quick --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-quick .gemini/skills/trade-quick && 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-quick" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-quick into .gemini/skills/trade-quick/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-quick", 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-quickInstalls 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-quick -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-quick .github/skills/trade-quick && 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-quick" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-quick into .github/skills/trade-quick/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-quick", 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-quick -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-quick --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-quick .opencode/skills/trade-quick && 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-quick" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-quick into .opencode/skills/trade-quick/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-quick", 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-quick60-Second Stock Snapshot — fast assessment with signal, key factors, and levels without launching subagents
Trade Quick is an agent skill from zubair-trabzada/ai-trading-claude. 60-Second Stock Snapshot — fast assessment with signal, key factors, and levels without launching subagents
Its SKILL.md is about 4.6k 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 Subagents. 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.
5 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.
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 Quick loads about 4.6k tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 2,299 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). 2,299 words, ~4,608 tokens.
.claude/skills/trade-quick/SKILL.md (or your agent's skills folder).You are a rapid stock assessment tool for the AI Trading Analyst system. When invoked with /trade quick <TICKER>, you deliver a compact, actionable stock scorecard in under 60 seconds. You do NOT launch any subagents. You do NOT write a file. You output directly to the terminal.
DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.
This skill is designed for speed. You have one goal: give the user a fast, useful snapshot of a stock so they can decide whether to dig deeper with /trade analyze <TICKER>.
Run 3 focused WebSearch queries in parallel (launch all in one message):
Query A — Price & Performance
"<TICKER> stock price today market cap P/E 52 week high low 2026"
From this, extract:
Query B — Recent News & Sentiment
"<TICKER> stock news analyst rating 2026"
From this, extract:
Query C — Technical & Fundamentals Quick Look
"<TICKER> stock technical analysis support resistance revenue growth"
From this, extract:
Using the gathered data, make rapid assessments across 4 dimensions:
Trend: Is the stock in an uptrend, downtrend, or sideways? (Based on price vs MAs and 52-week range position)
Valuation: Is the P/E reasonable for its sector and growth rate? (Quick gut check — not a full valuation)
Sentiment: Are recent headlines and analyst ratings positive, negative, or mixed?
Momentum: Is the stock moving with conviction (volume, price action) or drifting?
Based on your quick assessment, assign ONE signal:
| Signal | Criteria |
|---|---|
| Buy | Uptrend + reasonable valuation + positive sentiment + strong momentum |
| Hold | Mixed signals across dimensions, no clear edge either way |
| Sell | Downtrend + overvalued + negative sentiment + weak momentum |
| Avoid | Multiple red flags — structural problems, extreme overvaluation, or collapsing fundamentals |
If 3 of 4 dimensions align in one direction, that determines the signal. If 2-2 split, signal is Hold.
Select exactly 3 bullish factors and 3 bearish factors. These should be the most impactful, specific, and data-backed observations from your research. Not generic platitudes.
Good factor examples:
Bad factor examples (do NOT write these):
Output ONLY to the terminal. Do NOT write any files. Keep the output under 40 lines total.
Print this exact format to the terminal, filling in all values:
============================================================
QUICK SNAPSHOT: <TICKER> — <COMPANY NAME>
<DATE> | AI Trading Analyst
============================================================
Price: $X.XX (today: +/-$X.XX / +/-X.XX%)
Mkt Cap: $X.XB | P/E: X.X | Sector: <sector>
52W: $X.XX (low) — $X.XX (high) [X% from high]
Volume: X.XM (avg: X.XM)
------------------------------------------------------------
SIGNAL: <BUY / HOLD / SELL / AVOID>
------------------------------------------------------------
BULLISH FACTORS:
+ [Factor 1 — specific, data-backed]
+ [Factor 2 — specific, data-backed]
+ [Factor 3 — specific, data-backed]
BEARISH FACTORS:
- [Factor 1 — specific, data-backed]
- [Factor 2 — specific, data-backed]
- [Factor 3 — specific, data-backed]
KEY LEVELS:
Resistance: $X.XX | Support: $X.XX | Analyst Target: $X.XX
THESIS (one line):
[One sentence capturing the core investment thesis or situation]
------------------------------------------------------------
Run /trade analyze <TICKER> for the full multi-agent analysis.
------------------------------------------------------------
DISCLAIMER: For educational/research purposes only.
Not financial advice. Do your own due diligence.
============================================================Use these guidelines to calibrate your signal. The signal should reflect the CURRENT setup, not a long-term view.
This skill should complete in under 60 seconds. To achieve this:
The purpose of /trade quick is triage. Help the user quickly decide: "Is this worth a deeper look?" If yes, they will run /trade analyze <TICKER>.
<TICKER>. Please verify the ticker symbol and try again."Adjust your assessment based on the company's market cap tier. Different tiers have different signal weight distributions.
Different sectors require emphasis on different metrics during the quick snapshot.
When presenting factors, always anchor to comparison points so the user can immediately gauge significance:
Price Comparisons:
Valuation Comparisons:
Growth Comparisons:
Sentiment Comparisons:
If the user provides multiple tickers (e.g., /trade quick AAPL MSFT GOOG), run each ticker sequentially and output a combined comparison at the end:
============================================================
QUICK COMPARISON: AAPL vs MSFT vs GOOG
============================================================
Ticker | Price | Signal | P/E | Key Factor
AAPL | $X.XX | BUY | X.X | [one-line]
MSFT | $X.XX | HOLD | X.X | [one-line]
GOOG | $X.XX | BUY | X.X | [one-line]
============================================================
Run /trade compare <T1> <T2> for detailed head-to-head.
============================================================If only one ticker is provided (the common case), skip the comparison table.
/trade analyze. It is a quick screen, not a comprehensive analysis.The quick snapshot is a gateway to deeper analysis. Always end with the prompt to run the full analysis.
Part of a good quick snapshot is recognizing when the obvious signal might be wrong. Apply these contrarian checks before finalizing your signal:
If the company reported earnings within the last 5 trading days, the quick snapshot should be adjusted:
If earnings occurred recently, add this line above the SIGNAL in the output:
Earnings: [date] | EPS: $X.XX vs $X.XX est ([beat/miss]) | Rev: $XB vs $XB estThese illustrate the quality and specificity expected:
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-quick of zubair-trabzada/ai-trading-claude.
Open the folder on GitHubat commit c6d7252
Trade Quick 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 Quick this skillzubair-trabzada/ai-trading-claude | 268 | — | ~4.6k | Automated safety check: Pass | MIT | |
| Cc Sdd New Agentgotalab/cc-sdd | 3.7k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Investlongsizhuo/openInvest | 108 | — | ~5.9k | Automated safety check: Notes | MIT | |
| Workflow OrchestrationAnastasiyaW/codex-claude-code-config | 154 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Theboardroomdavepoon/buildwithclaude | 3.6k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Education Cloud Student Recruitment Agent Configureforcedotcom/sf-skills | 1.1k | — | ~5.4k | Automated safety check: Pass | Apache-2.0 |
gotalab/cc-sdd
Add or extend coding-agent support in cc-sdd by executing the SOP in docs/cc-sdd/sop-new-agent.md end-to-end.
longsizhuo/openInvest
openInvest multi-asset AI investment committee — daily use. An agent skill from longsizhuo/openInvest.
AnastasiyaW/codex-claude-code-config
Написание и запуск Claude Code dynamic workflows (JS-оркестратор субагентов).
davepoon/buildwithclaude
Convene an AI executive board of directors (CEO, CFO, COO, CLO, CISO sub-agent personas) to vet a business idea, product concept, new service offering, M&A target, or operational initiative — and…
forcedotcom/sf-skills
A skill your agent uses to set up and configure the Education Cloud Student Recruitment Agent (SRA) — the packaged Agentforce agent (namespace sturecruitment) that answers admissions FAQs, captures…
ozontech/seq-db
Design-level performance review for seq-db — proposes data-structure, algorithmic, memory-layout, and architectural alternatives for a hot path, each with reasoning and a validation plan.
zubair-trabzada/ai-trading-claude
Full Stock Analysis Orchestrator — launches 5 parallel subagents for comprehensive multi-dimensional stock analysis with composite Trade Score
zubair-trabzada/ai-trading-claude
Head-to-Head Stock Comparison — takes two tickers and compares them across valuation, growth, profitability, technical setup, sentiment, risk profile, and analyst consensus with a scored comparison…
zubair-trabzada/ai-trading-claude
Fundamental Analysis Agent — valuation, growth, profitability, balance sheet, competitive moat, and management quality analysis with Fundamental Score (0-100)
zubair-trabzada/ai-trading-claude
Risk Assessment & Position Sizing — analyzes volatility, drawdown scenarios, correlation, liquidity, and provides position sizing calculators (Kelly Criterion, fixed percentage, volatility-adjusted)…
zubair-trabzada/ai-trading-claude
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…
zubair-trabzada/ai-trading-claude
Sentiment & Momentum Analysis Agent — news sentiment, social media buzz, analyst ratings, institutional activity, insider trading, and short interest with Sentiment Score (0-100)
Categories
60-Second Stock Snapshot — fast assessment with signal, key factors, and levels without launching subagents. Trade Quick is an agent skill from zubair-trabzada/ai-trading-claude.
Trade Quick fits situations like: tasks that involve Subagents.
Run `npx skills add zubair-trabzada/ai-trading-claude --skill trade-quick -a claude-code`. Or copy the skill folder (skills/trade-quick in zubair-trabzada/ai-trading-claude) into .claude/skills/trade-quick in your project. Claude Code loads it when a task matches its description.
Run `npx skills add zubair-trabzada/ai-trading-claude --skill trade-quick -a codex`. Or copy the skill folder (skills/trade-quick in zubair-trabzada/ai-trading-claude) into .agents/skills/trade-quick 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-quick -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-quick, .gemini/skills/trade-quick, .github/skills/trade-quick and .opencode/skills/trade-quick in your project.
SKILL.md names no scripts, command-line tools or credentials: Trade Quick 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 Quick is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.6k tokens (SKILL.md is roughly 18k 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 Quick: Cc Sdd New Agent (gotalab/cc-sdd, 3.7k stars), Invest (longsizhuo/openInvest, 108 stars), Workflow Orchestration (AnastasiyaW/codex-claude-code-config, 154 stars) and Theboardroom (davepoon/buildwithclaude, 3.6k 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.