Stock API
zhangxiangliang/stock-api
Fetch real-time stock quotes, K-line (candlestick) history, and search symbols for China A-shares, Hong Kong, and US markets.
Passive income portfolio analysis — activate when user asks about dividend yields, Treasury rates, REIT income, monthly passive income goals, or portfolio yield optimization.
$ npx skills add sickn33/agentic-awesome-skills --skill yield-intelligence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills yield-intelligence --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/yield-intelligence .claude/skills/yield-intelligence && 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 "yield-intelligence" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/yield-intelligence into .claude/skills/yield-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yield-intelligence", 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/sickn33/agentic-awesome-skills/tree/main/skills/yield-intelligenceType 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 sickn33/agentic-awesome-skills --skill yield-intelligence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills yield-intelligence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/yield-intelligence .agents/skills/yield-intelligence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "yield-intelligence" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/yield-intelligence into .agents/skills/yield-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yield-intelligence", 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 sickn33/agentic-awesome-skills --skill yield-intelligence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills yield-intelligence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/yield-intelligence .cursor/skills/yield-intelligence && 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 "yield-intelligence" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/yield-intelligence into .cursor/skills/yield-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yield-intelligence", 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/sickn33/agentic-awesome-skills.git --path skills/yield-intelligence--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 sickn33/agentic-awesome-skills --skill yield-intelligence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills yield-intelligence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/yield-intelligence .gemini/skills/yield-intelligence && 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 "yield-intelligence" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/yield-intelligence into .gemini/skills/yield-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yield-intelligence", 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 sickn33/agentic-awesome-skills yield-intelligenceInstalls 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 sickn33/agentic-awesome-skills --skill yield-intelligence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/yield-intelligence .github/skills/yield-intelligence && 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 "yield-intelligence" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/yield-intelligence into .github/skills/yield-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yield-intelligence", 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 sickn33/agentic-awesome-skills --skill yield-intelligence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills yield-intelligence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/yield-intelligence .opencode/skills/yield-intelligence && 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 "yield-intelligence" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/yield-intelligence into .opencode/skills/yield-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yield-intelligence", 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.
yield-intelligencePassive income portfolio analysis — activate when user asks about dividend yields, Treasury rates, REIT income, monthly passive income goals, or portfolio yield optimization.
Yield Intelligence is an agent skill from sickn33/agentic-awesome-skills. Passive income portfolio analysis — activate when user asks about dividend yields, Treasury rates, REIT income, monthly passive income goals, or portfolio yield optimization. Scans 4 asset classes, ranks by risk-adjusted return, and builds allocations targeting a specific monthly income.
Its SKILL.md is about 1.1k 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 Stock and market analysis. It works with Model Context Protocol. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1e53ce2. 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 json).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.intuitek.aiAlso links to:
github.comintuitek.aiFrom 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.
Yield Intelligence loads about 1.1k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 386 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 sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 386 words, ~1,078 tokens.
.claude/skills/yield-intelligence/SKILL.md (or your agent's skills folder).Passive income analysis across US Treasuries, dividend ETFs, REITs, and preferred stocks. Given a target monthly income and investment amount, returns a ranked opportunity table and optimal allocation.
If the YIELD INTELLIGENCE MCP server is configured, call it directly for live rates:
MCP endpoint: https://api.intuitek.ai/yield/mcp (no auth required, open access)
Tools:
analyze_yield_opportunities — Scans dividend ETFs, REITs, preferred stocks, and Treasuries; returns ranked opportunities with yield, risk score, and liquidityoptimize_income_portfolio — Builds a portfolio allocation targeting a specific monthly income goalQuick config (Claude Desktop / Claude Code):
{
"mcpServers": {
"yield-intelligence": {
"url": "https://api.intuitek.ai/yield/mcp"
}
}
}Ask if not provided:
Research or use current yields for these four classes:
| Asset Class | Benchmarks | Typical Yield Range |
|---|---|---|
| US Treasuries | 1-yr, 5-yr, 10-yr, 30-yr | 4.0–5.5% |
| Dividend ETFs | SCHD, VYM, JEPI, JEPQ | 3.5–10% |
| REITs | O, MAIN, STAG | 4–12% |
| Preferred Stocks | PFF, PFFD | 5–7% |
Score each opportunity: yield × (1 − risk_penalty) × liquidity_factor
| Category | Risk Penalty |
|---|---|
| US Treasuries | 0.00 |
| Investment-grade dividend ETF | 0.05 |
| REIT / preferred | 0.15 |
| High-yield / speculative | 0.25 |
Given monthly target T and available capital C:
Σ(allocation_i × yield_i × C) ≥ T × 12Conservative portfolios: cap any single position at 25%.
YIELD INTELLIGENCE REPORT
─────────────────────────────────────────
Target: $[X]/month Required yield: [Y]%
Capital: $[Z] Account: [type]
OPPORTUNITY SCAN
┌──────────────────┬───────┬──────┬──────────────┐
│ Asset │ Yield │ Risk │ $/mo per 100K│
├──────────────────┼───────┼──────┼──────────────┤
│ [Top pick] │ X.X% │ Low │ $XXX │
└──────────────────┴───────┴──────┴──────────────┘
RECOMMENDED ALLOCATION ($[Z] capital)
[Asset A] 40% → $[amount] → $[X]/month
Total monthly income: $[X]/month ✓© sickn33, 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/yield-intelligence of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 1e53ce2
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Yield Intelligence 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 |
|---|---|---|---|---|---|---|
| Yield Intelligence this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 4.9k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Agentic Trading DeskOft3r/agentic-trading-desk | 306 | — | ~5.1k | Automated safety check: Pass | MIT | |
| Earnings AnalysisWind-Alice/AliceMarket | 128 | 3 repos | ~2.2k | Automated safety check: Pass | None | |
| Longbridge Value Investinghelsome/folio | 269 | 2 repos | ~1.2k | Automated safety check: Pass | MIT |
zhangxiangliang/stock-api
Fetch real-time stock quotes, K-line (candlestick) history, and search symbols for China A-shares, Hong Kong, and US markets.
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…
Oft3r/agentic-trading-desk
Personal trading desk for short-term technical analysis on stocks/ETFs via Robinhood MCP.
Wind-Alice/AliceMarket
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage.
helsome/folio
Value investing analysis using Graham (NCAV/net-net/defensive-investor) and Buffett (economic moat/ROE/FCF) methodologies.
ApocData/ApocData-skill
A-share data service with structured announcement parsing: every announcement carries an AI summary, category, importance level and sentiment, fully traceable to source.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Works with
Categories
Passive income portfolio analysis — activate when user asks about dividend yields, Treasury rates, REIT income, monthly passive income goals, or portfolio yield optimization. Yield Intelligence is an agent skill from sickn33/agentic-awesome-skills. Passive income portfolio analysis — activate when user asks about dividend yields, Treasury rates, REIT income, monthly passive income goals, or portfolio yield optimization.
Yield Intelligence fits situations like: asks about dividend yields; monthly passive income goals; portfolio yield optimization.
Run `npx skills add sickn33/agentic-awesome-skills --skill yield-intelligence -a claude-code`. Or copy the skill folder (skills/yield-intelligence in sickn33/agentic-awesome-skills) into .claude/skills/yield-intelligence in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill yield-intelligence -a codex`. Or copy the skill folder (skills/yield-intelligence in sickn33/agentic-awesome-skills) into .agents/skills/yield-intelligence 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 sickn33/agentic-awesome-skills --skill yield-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/yield-intelligence, .gemini/skills/yield-intelligence, .github/skills/yield-intelligence and .opencode/skills/yield-intelligence in your project.
SKILL.md names no scripts, command-line tools or credentials: Yield Intelligence is instructions for the agent only.
SKILL.md names 3 domains. In commands or code: api.intuitek.ai; the agent is likely to contact it when it follows the instructions. As links in the text: github.com and intuitek.ai. 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.
Yield Intelligence is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.3k 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 Yield Intelligence: Stock API (zhangxiangliang/stock-api, 2k stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 4.9k stars), Agentic Trading Desk (Oft3r/agentic-trading-desk, 306 stars) and Earnings Analysis (Wind-Alice/AliceMarket, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.