A skill your agent uses when evaluating trend-following trades, pivotal-point breakouts, pyramiding, stop discipline, or whether a liquid market is acting right in a Jesse Livermore style.
$ npx skills add questflowai/investorskills --skill livermore -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install questflowai/investorskills livermore --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/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/livermore .claude/skills/livermore && 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 "livermore" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/livermore into .claude/skills/livermore/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "livermore", 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/questflowai/investorskills/tree/main/skills/livermoreType 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 questflowai/investorskills --skill livermore -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install questflowai/investorskills livermore --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/livermore .agents/skills/livermore && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "livermore" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/livermore into .agents/skills/livermore/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "livermore", 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 questflowai/investorskills --skill livermore -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install questflowai/investorskills livermore --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/livermore .cursor/skills/livermore && 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 "livermore" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/livermore into .cursor/skills/livermore/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "livermore", 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/questflowai/investorskills.git --path skills/livermore--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 questflowai/investorskills --skill livermore -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install questflowai/investorskills livermore --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/livermore .gemini/skills/livermore && 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 "livermore" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/livermore into .gemini/skills/livermore/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "livermore", 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 questflowai/investorskills livermoreInstalls 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 questflowai/investorskills --skill livermore -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/livermore .github/skills/livermore && 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 "livermore" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/livermore into .github/skills/livermore/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "livermore", 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 questflowai/investorskills --skill livermore -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install questflowai/investorskills livermore --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/livermore .opencode/skills/livermore && 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 "livermore" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/livermore into .opencode/skills/livermore/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "livermore", 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.
livermoreA skill your agent uses when evaluating trend-following trades, pivotal-point breakouts, pyramiding, stop discipline, or whether a liquid market is acting right in a Jesse Livermore style.
Livermore is an agent skill from questflowai/investorskills. Use when evaluating trend-following trades, pivotal-point breakouts, pyramiding, stop discipline, or whether a liquid market is acting right in a Jesse Livermore style.
Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `invest.md`).
The repository describes itself as: Investor Skills is an open-source library that turns durable investing judgment into portable, structured formats. It collects how great investors think, filter opportunities… The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2844d78. 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.
Livermore loads about 667 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 321 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 questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 321 words, ~667 tokens.
.claude/skills/livermore/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use this skill to apply Jesse Livermore-style trend following: wait for a clear line of least resistance, enter only near pivotal points, add only after the market confirms, and cut losses quickly.
Use this skill when the user asks for:
Trigger phrases include Livermore, breakout, pivotal point, line of least resistance, pyramid, acting right, and cut losses.
# Livermore View: [Asset]
## Verdict
Enter / Wait / Hold / Add / Exit / Stand Down
## Line Of Least Resistance
## Pivotal Point
## Signal Check
| Signal | Status | Evidence | Weight |
|--------|--------|----------|--------|
## Trade Plan
- Entry:
- Initial stop:
- First add:
- Max size:
## Invalidation
## Missing DataIn Questflow, this skill is best used as an execution-ready trend module: detect breakouts, propose risk-defined entries, monitor whether price is acting right, and enforce stop discipline across connected venues.
© questflowai, 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 in skills/livermore of questflowai/investorskills.
Open the folder on GitHubat commit 2844d78
Livermore 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 |
|---|---|---|---|---|---|---|
| Livermore this skillquestflowai/investorskills | 1.9k | — | ~667 | Automated safety check: Pass | MIT | |
| Breakout Trade Plannertradermonty/claude-trading-skills | 3k | 2 repos | ~1k | Automated safety check: Pass | MIT | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 2 repos | ~8.1k | Automated safety check: Notes | MIT | |
| Agent Trading Predictorruvnet/ruflo | 74k | 3 repos | ~2.5k | Automated safety check: Pass | MIT | |
| LLM Evaluationdavila7/claude-code-templates | 32k | 13 repos | ~3.5k | Automated safety check: Pass | MIT | |
| LLM Trading Agent Securityaffaan-m/ECC | 275k | 2 repos | ~1.2k | Automated safety check: Pass | MIT |
tradermonty/claude-trading-skills
Generate Minervini-style breakout trade plans from VCP screener output with worst-case risk calculation, portfolio heat management, and Alpaca-compatible order templates (stop-limit bracket for…
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…
ruvnet/ruflo
Agent skill for trading-predictor - invoke with $agent-trading-predictor
davila7/claude-code-templates
Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.
affaan-m/ECC
Security patterns for autonomous trading agents with wallet or transaction authority.
HKUDS/Vibe-Trading
Reads a broker export of your trades (CSV or Excel), builds a trading profile and runs four behavior checks: disposition effect, overtrading, chasing and anchoring.
questflowai/investorskills
A skill your agent uses when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold…
questflowai/investorskills
A skill your agent uses when evaluating Bill Ackman-style concentrated long theses, activist campaigns, high-conviction multiyear bets, and public narrative plus fundamental catalysts.
questflowai/investorskills
A skill your agent uses when evaluating crypto narratives, attention rotation, memecoin cycles, Solana-style ecosystem momentum, social distribution, and reflexive retail flows in an Ansem-style…
questflowai/investorskills
A skill your agent uses when evaluating crypto markets through an Arthur Hayes-style liquidity lens: dollar liquidity, funding, risk appetite, cycle psychology, and macro-driven crypto positioning.
questflowai/investorskills
A skill your agent uses when evaluating a business through Buffett-style ownership, owner earnings, durable moat, management quality, capital allocation, and margin-of-safety judgment.
questflowai/investorskills
A skill your agent uses when evaluating Michael Burry-style contrarian, asymmetric, unpopular trades: deep mispricing, short theses, complex assets, forced consensus errors, and catalyst-driven…
A skill your agent uses when evaluating trend-following trades, pivotal-point breakouts, pyramiding, stop discipline, or whether a liquid market is acting right in a Jesse Livermore style. Livermore is an agent skill from questflowai/investorskills. Use when evaluating trend-following trades, pivotal-point breakouts, pyramiding, stop discipline, or whether a liquid market is acting right in a Jesse Livermore style.
Livermore fits situations like: evaluating trend-following trades; pivotal-point breakouts; stop discipline; whether a liquid market is acting right in a Jesse Livermore style.
Run `npx skills add questflowai/investorskills --skill livermore -a claude-code`. Or copy the skill folder (skills/livermore in questflowai/investorskills) into .claude/skills/livermore in your project. Claude Code loads it when a task matches its description.
Run `npx skills add questflowai/investorskills --skill livermore -a codex`. Or copy the skill folder (skills/livermore in questflowai/investorskills) into .agents/skills/livermore 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 questflowai/investorskills --skill livermore -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/livermore, .gemini/skills/livermore, .github/skills/livermore and .opencode/skills/livermore in your project.
SKILL.md names no scripts, command-line tools or credentials: Livermore 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.
Livermore is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 667 tokens (SKILL.md is roughly 2.7k 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 Livermore: Breakout Trade Planner (tradermonty/claude-trading-skills, 3k stars), Arize Evaluator (github/awesome-copilot, 40k stars), Agent Trading Predictor (ruvnet/ruflo, 74k stars) and LLM Evaluation (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
questflowai (a GitHub organization) maintains it in questflowai/investorskills, which has 1,896 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on August 23, 2026.
Source: questflowai/investorskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
