Technical Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
Router skill for LLMQuant prediction-market workflows. An agent skill from LLMQuant/skills.
Install Llmquant Prediction Markets
$ npx skills add LLMQuant/skills --skill llmquant-prediction-markets -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LLMQuant/skills llmquant-prediction-markets --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/LLMQuant/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/llmquant-prediction-markets .claude/skills/llmquant-prediction-markets && 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 "llmquant-prediction-markets" agent skill from https://github.com/LLMQuant/skills/tree/master/skills/llmquant-prediction-markets into .claude/skills/llmquant-prediction-markets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llmquant-prediction-markets", 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/LLMQuant/skills/tree/master/skills/llmquant-prediction-marketsType 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 LLMQuant/skills --skill llmquant-prediction-markets -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LLMQuant/skills llmquant-prediction-markets --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LLMQuant/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/llmquant-prediction-markets .agents/skills/llmquant-prediction-markets && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llmquant-prediction-markets" agent skill from https://github.com/LLMQuant/skills/tree/master/skills/llmquant-prediction-markets into .agents/skills/llmquant-prediction-markets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llmquant-prediction-markets", 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 LLMQuant/skills --skill llmquant-prediction-markets -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LLMQuant/skills llmquant-prediction-markets --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LLMQuant/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/llmquant-prediction-markets .cursor/skills/llmquant-prediction-markets && 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 "llmquant-prediction-markets" agent skill from https://github.com/LLMQuant/skills/tree/master/skills/llmquant-prediction-markets into .cursor/skills/llmquant-prediction-markets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llmquant-prediction-markets", 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/LLMQuant/skills.git --path skills/llmquant-prediction-markets--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 LLMQuant/skills --skill llmquant-prediction-markets -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LLMQuant/skills llmquant-prediction-markets --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LLMQuant/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/llmquant-prediction-markets .gemini/skills/llmquant-prediction-markets && 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 "llmquant-prediction-markets" agent skill from https://github.com/LLMQuant/skills/tree/master/skills/llmquant-prediction-markets into .gemini/skills/llmquant-prediction-markets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llmquant-prediction-markets", 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 LLMQuant/skills llmquant-prediction-marketsInstalls 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 LLMQuant/skills --skill llmquant-prediction-markets -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LLMQuant/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/llmquant-prediction-markets .github/skills/llmquant-prediction-markets && 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 "llmquant-prediction-markets" agent skill from https://github.com/LLMQuant/skills/tree/master/skills/llmquant-prediction-markets into .github/skills/llmquant-prediction-markets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llmquant-prediction-markets", 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 LLMQuant/skills --skill llmquant-prediction-markets -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LLMQuant/skills llmquant-prediction-markets --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LLMQuant/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/llmquant-prediction-markets .opencode/skills/llmquant-prediction-markets && 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 "llmquant-prediction-markets" agent skill from https://github.com/LLMQuant/skills/tree/master/skills/llmquant-prediction-markets into .opencode/skills/llmquant-prediction-markets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llmquant-prediction-markets", 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.
Facts
- Skill name
llmquant-prediction-markets- GitHub stars
- 229
- Token cost
- ~549 tokens
- SKILL.md length
- 204 words
- Files
- 6 (incl. scripts, assets)
- Skills in repo
- 18
- Repo updated
- First seen
- Licence
- MIT
At a glance
Router skill for LLMQuant prediction-market workflows. An agent skill from LLMQuant/skills.
- Works in 5 steps: Identify the event, venue, contract,… → Select the closest workflow below. → Open only that workflow and any… → …
- The user needs event odds
- SKILL.md covers Routing Rules, Workflow Index and LLMQuant Data Contract
- Settlement criteria
What it does
Llmquant Prediction Markets is an agent skill from LLMQuant/skills. Router skill for LLMQuant prediction-market workflows. Use when the user needs event odds, settlement criteria, probability gaps, cross-market pricing, or prediction-market arbitrage review.
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and assets (for example `workflows/event-probability-brief.md`, `workflows/prediction-market-arb-watch.md` and `workflows/probability-vs-options-pricing.md`).
It sits in Business, Finance & HR. The repository describes itself as: Reusable Skills for LLMQuant Agent, Claude Code, Claude.ai, Cursor, Hermes Agent, OpenClaw and Codex, grounded in LLMQuant Data. The licence is MIT.
When your agent uses it
- The user needs event odds
- Settlement criteria
- Probability gaps
- Cross-market pricing
Example prompts
- “/llmquant-prediction-markets”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Identify the event, venue, contract, settlement rule, deadline, related assets, and requested output.
- Select the closest workflow below.
- Open only that workflow and any referenced local resources.
- Use LLMQuant Data for prediction-market contracts, prices, liquidity, options, macro, news, and related asset prices.
- Report contract timestamps, settlement criteria, liquidity, fees, market windows, and missing inputs.
What it can do on your machine
Read from SKILL.md and the folder at commit 1918237. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/, which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Llmquant Prediction Markets loads about 549 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 204 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from LLMQuant/skills at commit 1918237, republished under its MIT licence (© LLMQuant). 204 words, ~549 tokens.
Download SKILL.mdSave it as
.claude/skills/llmquant-prediction-markets/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- llmquant-prediction-markets
- description
- Router skill for LLMQuant prediction-market workflows. Use when the user needs event odds, settlement criteria, probability gaps, cross-market pricing, or prediction-market arbitrage review.
- input_data_source
- LLMQuant Data
- category
- prediction-markets
LLMQuant Prediction Markets
This category routes event-probability workflows for prediction markets, options-implied probabilities, and tradable event risk.
Routing Rules
- Identify the event, venue, contract, settlement rule, deadline, related assets, and requested output.
- Select the closest workflow below.
- Open only that workflow and any referenced local resources.
- Use LLMQuant Data for prediction-market contracts, prices, liquidity, options, macro, news, and related asset prices.
- Report contract timestamps, settlement criteria, liquidity, fees, market windows, and missing inputs.
Workflow Index
| User intent | Workflow |
|---|---|
| Produce an event probability research brief from market odds and evidence. | workflows/event-probability-brief.md |
| Check prediction-market cross-venue or contract-level arbitrage conditions. | workflows/prediction-market-arb-watch.md |
| Compare prediction-market odds with options-implied or asset-implied event pricing. | workflows/probability-vs-options-pricing.md |
LLMQuant Data Contract
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
- Retrieve event contracts, settlement criteria, market odds, order-book depth, volume, fees, and close dates.
- Retrieve related news, macro releases, asset prices, and issuer or sector context.
- Retrieve options-implied probabilities, volatility, skew, and event-window pricing when available.
- Compare venues, contracts, and outcome sets while preserving timestamp and settlement-rule differences.
Fallback:
- If market data or settlement rules are unavailable, do not infer arbitrage or fair probability.
- If only user-provided odds are available, label the evidence as user supplied.
© LLMQuant, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (scripts, assets) in skills/llmquant-prediction-markets of LLMQuant/skills.
- SKILL.md
- assets/.gitkeep
- scripts/.gitkeep
- workflows/event-probability-brief.md
- workflows/prediction-market-arb-watch.md
- workflows/probability-vs-options-pricing.md
Open the folder on GitHubat commit 1918237
Compare with similar skills
Llmquant Prediction Markets 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 |
|---|---|---|---|---|---|---|
| Llmquant Prediction Markets this skillLLMQuant/skills | 229 | — | ~549 | Automated safety check: Pass | MIT | |
| Technical Analysttradermonty/claude-trading-skills | 3k | 4 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Theme Detectortradermonty/claude-trading-skills | 3k | 2 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Itr Walakaranb192/itr-wala | 871 | — | ~3.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Llmquant Prediction Markets
What does Llmquant Prediction Markets do?
Router skill for LLMQuant prediction-market workflows. An agent skill from LLMQuant/skills. Llmquant Prediction Markets is an agent skill from LLMQuant/skills. Router skill for LLMQuant prediction-market workflows.
When should I use Llmquant Prediction Markets?
Llmquant Prediction Markets fits situations like: the user needs event odds; settlement criteria; probability gaps; cross-market pricing.
How do I install Llmquant Prediction Markets in Claude Code?
Run `npx skills add LLMQuant/skills --skill llmquant-prediction-markets -a claude-code`. Or copy the skill folder (skills/llmquant-prediction-markets in LLMQuant/skills) into .claude/skills/llmquant-prediction-markets in your project. Claude Code loads it when a task matches its description.
How do I install Llmquant Prediction Markets in Codex?
Run `npx skills add LLMQuant/skills --skill llmquant-prediction-markets -a codex`. Or copy the skill folder (skills/llmquant-prediction-markets in LLMQuant/skills) into .agents/skills/llmquant-prediction-markets in your project. Codex loads it when a task matches its description.
Can I use Llmquant Prediction Markets in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LLMQuant/skills --skill llmquant-prediction-markets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llmquant-prediction-markets, .gemini/skills/llmquant-prediction-markets, .github/skills/llmquant-prediction-markets and .opencode/skills/llmquant-prediction-markets in your project.
What does Llmquant Prediction Markets need to run?
SKILL.md names no scripts, command-line tools or credentials: Llmquant Prediction Markets is instructions for the agent only.
Does Llmquant Prediction Markets access the network?
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.
Is Llmquant Prediction Markets safe to install?
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.
What licence does Llmquant Prediction Markets use?
Llmquant Prediction Markets is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Llmquant Prediction Markets use?
About 549 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Llmquant Prediction Markets?
Skills that share tags, products or a category with Llmquant Prediction Markets: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Llmquant Prediction Markets?
LLMQuant (a GitHub organization) maintains it in LLMQuant/skills, which has 229 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on May 30, 2026.
Source: LLMQuant/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.