Agent skill

Seykota Systematic Trend

by questflowai in questflowai/investorskills

A skill your agent uses when evaluating Ed Seykota-style systematic trend following: mechanical rules, long-term trend capture, small losses, position sizing, whipsaw tolerance, and emotional…

MITAuto-check passed

Install Seykota Systematic Trend

skills CLI
$ npx skills add questflowai/investorskills --skill seykota-systematic-trend -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install questflowai/investorskills seykota-systematic-trend --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seykota-systematic-trend .claude/skills/seykota-systematic-trend && rm -rf skills-src

Use ~/.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/

Facts

Skill name
seykota-systematic-trend
GitHub stars
1.9k
Token cost
~388 tokens
SKILL.md length
150 words
Files
2
Skills in repo
63
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when evaluating Ed Seykota-style systematic trend following: mechanical rules, long-term trend capture, small losses, position sizing, whipsaw tolerance, and emotional…

  • Works in 5 steps: Define objective trend rule. → Define exit and stop rule before entry. → Size by volatility and total portfolio… → …
  • Evaluating Ed Seykota-style systematic trend following: mechanical rules
  • SKILL.md covers When To Use, Process, Output Format and Guardrails, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Seykota Systematic Trend is an agent skill from questflowai/investorskills. Use when evaluating Ed Seykota-style systematic trend following: mechanical rules, long-term trend capture, small losses, position sizing, whipsaw tolerance, and emotional discipline.

Its SKILL.md is about 390 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.

When your agent uses it

  • Evaluating Ed Seykota-style systematic trend following: mechanical rules
  • Long-term trend capture
  • Position sizing
  • Whipsaw tolerance

Example prompts

  • “/seykota-systematic-trend”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Define objective trend rule.
  2. Define exit and stop rule before entry.
  3. Size by volatility and total portfolio heat.
  4. Accept whipsaws as cost of catching trends.
  5. Monitor system adherence, not prediction quality.

What it can do on your machine

Read from SKILL.md and the folder at commit 2844d78. 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

    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.

  • 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

Seykota Systematic Trend loads about 388 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 150 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~388

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 150 words, ~388 tokens.

Download SKILL.mdSave it as .claude/skills/seykota-systematic-trend/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
seykota-systematic-trend
description
Use when evaluating Ed Seykota-style systematic trend following: mechanical rules, long-term trend capture, small losses, position sizing, whipsaw tolerance, and emotional discipline.
invest
./invest.md

Seykota Systematic Trend

Use this skill to apply Ed Seykota-style systematic trend following: define mechanical entries and exits, cut losses, ride winners, size by volatility, and avoid overriding the system emotionally.

When To Use

  • Systematic trend-following strategy design
  • Futures/FX/crypto trend system review
  • Whipsaw, drawdown, and risk discipline discussion
  • Rule-based trading process design

Trigger phrases include Seykota, systematic trend, trend following, ride winners, cut losses, whipsaw, and mechanical system.

Process

  1. Define objective trend rule.
  2. Define exit and stop rule before entry.
  3. Size by volatility and total portfolio heat.
  4. Accept whipsaws as cost of catching trends.
  5. Monitor system adherence, not prediction quality.

Output Format

md
# Seykota Trend View: [Strategy / Market]

## Verdict
Follow System / Reduce Risk / Stop Out / No System Edge

## Rules
## Risk Per Trade
## Portfolio Heat
## Whipsaw Risk
## Discipline Check

Guardrails

  • Do not override the system because of a story.
  • Do not increase size after losses.
  • Do not expect high win rate from trend following.

Questflow Use

In Questflow, this skill is best used for systematic trend rules, risk sizing, and discipline monitoring.

© questflowai, 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 1 other file in skills/seykota-systematic-trend of questflowai/investorskills.

  • SKILL.md
  • invest.md

Open the folder on GitHubat commit 2844d78

Compare with similar skills

Seykota Systematic Trend 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.

Seykota Systematic Trend compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Seykota Systematic Trend this skillquestflowai/investorskills1.9k—~388Automated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k1 repos~8.1kAutomated safety check: NotesMIT
LLM Evaluationdavila7/claude-code-templates33k12 repos~3.5kAutomated safety check: PassMIT
Agent Evaluationsickn33/agentic-awesome-skills47k1 repos~2kAutomated safety check: PassMIT
EvaluatorsArize-ai/phoenix12k—~1.7kAutomated safety check: PassCustom licence
Agent Evaluation Reportingsickn33/agentic-awesome-skills47k1 repos~2.1kAutomated safety check: PassMIT

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Questions about Seykota Systematic Trend

What does Seykota Systematic Trend do?

A skill your agent uses when evaluating Ed Seykota-style systematic trend following: mechanical rules, long-term trend capture, small losses, position sizing, whipsaw tolerance, and emotional…. Seykota Systematic Trend is an agent skill from questflowai/investorskills. Use when evaluating Ed Seykota-style systematic trend following: mechanical rules, long-term trend capture, small losses, position sizing, whipsaw tolerance, and emotional discipline.

When should I use Seykota Systematic Trend?

Seykota Systematic Trend fits situations like: evaluating Ed Seykota-style systematic trend following: mechanical rules; long-term trend capture; position sizing; whipsaw tolerance.

How do I install Seykota Systematic Trend in Claude Code?

Run `npx skills add questflowai/investorskills --skill seykota-systematic-trend -a claude-code`. Or copy the skill folder (skills/seykota-systematic-trend in questflowai/investorskills) into .claude/skills/seykota-systematic-trend in your project. Claude Code loads it when a task matches its description.

How do I install Seykota Systematic Trend in Codex?

Run `npx skills add questflowai/investorskills --skill seykota-systematic-trend -a codex`. Or copy the skill folder (skills/seykota-systematic-trend in questflowai/investorskills) into .agents/skills/seykota-systematic-trend in your project. Codex loads it when a task matches its description.

Can I use Seykota Systematic Trend 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 questflowai/investorskills --skill seykota-systematic-trend -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seykota-systematic-trend, .gemini/skills/seykota-systematic-trend, .github/skills/seykota-systematic-trend and .opencode/skills/seykota-systematic-trend in your project.

What does Seykota Systematic Trend need to run?

SKILL.md names no scripts, command-line tools or credentials: Seykota Systematic Trend is instructions for the agent only.

Does Seykota Systematic Trend 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 Seykota Systematic Trend 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. Review the folder before installing.

What licence does Seykota Systematic Trend use?

Seykota Systematic Trend 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 Seykota Systematic Trend use?

About 388 tokens (SKILL.md is roughly 1.6k 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 Seykota Systematic Trend?

Skills that share tags, products or a category with Seykota Systematic Trend: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 33k stars), Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars) and Evaluators (Arize-ai/phoenix, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Seykota Systematic Trend?

questflowai (a GitHub organization) maintains it in questflowai/investorskills, which has 1,898 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.