Arize Evaluator
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…
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…
$ npx skills add questflowai/investorskills --skill seykota-systematic-trend -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install questflowai/investorskills seykota-systematic-trend --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/seykota-systematic-trend .claude/skills/seykota-systematic-trend && 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 "seykota-systematic-trend" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/seykota-systematic-trend into .claude/skills/seykota-systematic-trend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seykota-systematic-trend", 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/seykota-systematic-trendType 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 seykota-systematic-trend -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install questflowai/investorskills seykota-systematic-trend --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/seykota-systematic-trend .agents/skills/seykota-systematic-trend && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "seykota-systematic-trend" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/seykota-systematic-trend into .agents/skills/seykota-systematic-trend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seykota-systematic-trend", 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 seykota-systematic-trend -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install questflowai/investorskills seykota-systematic-trend --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/seykota-systematic-trend .cursor/skills/seykota-systematic-trend && 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 "seykota-systematic-trend" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/seykota-systematic-trend into .cursor/skills/seykota-systematic-trend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seykota-systematic-trend", 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/seykota-systematic-trend--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 seykota-systematic-trend -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install questflowai/investorskills seykota-systematic-trend --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/seykota-systematic-trend .gemini/skills/seykota-systematic-trend && 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 "seykota-systematic-trend" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/seykota-systematic-trend into .gemini/skills/seykota-systematic-trend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seykota-systematic-trend", 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 seykota-systematic-trendInstalls 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 seykota-systematic-trend -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/seykota-systematic-trend .github/skills/seykota-systematic-trend && 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 "seykota-systematic-trend" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/seykota-systematic-trend into .github/skills/seykota-systematic-trend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seykota-systematic-trend", 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 seykota-systematic-trend -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 seykota-systematic-trend --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/seykota-systematic-trend .opencode/skills/seykota-systematic-trend && 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 "seykota-systematic-trend" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/seykota-systematic-trend into .opencode/skills/seykota-systematic-trend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seykota-systematic-trend", 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.
seykota-systematic-trendA 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.
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.
5 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.
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.
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). 150 words, ~388 tokens.
.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.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.
Trigger phrases include Seykota, systematic trend, trend following, ride winners, cut losses, whipsaw, and mechanical system.
# Seykota Trend View: [Strategy / Market]
## Verdict
Follow System / Reduce Risk / Stop Out / No System Edge
## Rules
## Risk Per Trade
## Portfolio Heat
## Whipsaw Risk
## Discipline CheckIn 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
SKILL.md and 1 other file in skills/seykota-systematic-trend of questflowai/investorskills.
Open the folder on GitHubat commit 2844d78
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Seykota Systematic Trend this skillquestflowai/investorskills | 1.9k | — | ~388 | Automated safety check: Pass | MIT | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 1 repos | ~8.1k | Automated safety check: Notes | MIT | |
| LLM Evaluationdavila7/claude-code-templates | 33k | 12 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Agent Evaluationsickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| EvaluatorsArize-ai/phoenix | 12k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Agent Evaluation Reportingsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
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…
davila7/claude-code-templates
Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.
sickn33/agentic-awesome-skills
Evaluate agent behavior with versioned cases and explicit verifiers.
Arize-ai/phoenix
Author or refine a Phoenix evaluator — code or LLM-as-a-judge — that scores a run's output.
sickn33/agentic-awesome-skills
A skill your agent uses when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.
PostHog/posthog
Author continuously-running online evaluations in PostHog AI observability, grounded in real failure modes you've identified.
questflowai/investorskills
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questflowai/investorskills
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questflowai/investorskills
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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.
Seykota Systematic Trend fits situations like: evaluating Ed Seykota-style systematic trend following: mechanical rules; long-term trend capture; position sizing; whipsaw tolerance.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Seykota Systematic Trend 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.
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.
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.
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.
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.