Geo Fundamentals
wasp-lang/wasp
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
A skill your agent uses when the user wants Claude Code to remember their preferences across sessions, asks for a memory mod or memory harness for Claude Code, mentions the Jev memory classifier or…
$ npx skills add superdesigndev/treg --skill jev-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install superdesigndev/treg jev-memory --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/superdesigndev/treg.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/jev-memory .claude/skills/jev-memory && 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 "jev-memory" agent skill from https://github.com/superdesigndev/treg/tree/main/skills/jev-memory into .claude/skills/jev-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-memory", 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/superdesigndev/treg/tree/main/skills/jev-memoryType 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 superdesigndev/treg --skill jev-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install superdesigndev/treg jev-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/superdesigndev/treg.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/jev-memory .agents/skills/jev-memory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jev-memory" agent skill from https://github.com/superdesigndev/treg/tree/main/skills/jev-memory into .agents/skills/jev-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-memory", 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 superdesigndev/treg --skill jev-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install superdesigndev/treg jev-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/superdesigndev/treg.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/jev-memory .cursor/skills/jev-memory && 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 "jev-memory" agent skill from https://github.com/superdesigndev/treg/tree/main/skills/jev-memory into .cursor/skills/jev-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-memory", 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/superdesigndev/treg.git --path skills/jev-memory--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 superdesigndev/treg --skill jev-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install superdesigndev/treg jev-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/superdesigndev/treg.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/jev-memory .gemini/skills/jev-memory && 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 "jev-memory" agent skill from https://github.com/superdesigndev/treg/tree/main/skills/jev-memory into .gemini/skills/jev-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-memory", 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 superdesigndev/treg jev-memoryInstalls 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 superdesigndev/treg --skill jev-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/superdesigndev/treg.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/jev-memory .github/skills/jev-memory && 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 "jev-memory" agent skill from https://github.com/superdesigndev/treg/tree/main/skills/jev-memory into .github/skills/jev-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-memory", 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 superdesigndev/treg --skill jev-memory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install superdesigndev/treg jev-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/superdesigndev/treg.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/jev-memory .opencode/skills/jev-memory && 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 "jev-memory" agent skill from https://github.com/superdesigndev/treg/tree/main/skills/jev-memory into .opencode/skills/jev-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-memory", 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.
jev-memoryA skill your agent uses when the user wants Claude Code to remember their preferences across sessions, asks for a memory mod or memory harness for Claude Code, mentions the Jev memory classifier or…
Jev Memory is an agent skill from superdesigndev/treg. Use when the user wants Claude Code to remember their preferences across sessions, asks for a memory mod or memory harness for Claude Code, mentions the Jev memory classifier or a "classifier on every turn" mod, or wants to build a Claude Code mod on treg and Jev. Installs a ready-made Claude Code mod that has Jev judge each prompt after the turn and saves lasting preferences to .claude/jev-memory.md, or builds the same mod from one prompt.
Its SKILL.md is about 1.7k 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 Marketing & SEO. The repository describes itself as: OpenRouter for agent tools. Join community here: https://discord.gg/6mQYYfFMAn.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e609803. 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.
Shell commands in SKILL.md call:
claudegitFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
treg.toFrom 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.
Jev Memory loads about 1.7k tokens when it runs. Until then it costs about 114 tokens; SKILL.md has 772 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 772 words (~1,711 tokens).
“A Claude Code mod that decides what to remember. After every answered prompt, Jev scores each sentence: a lasting preference, or a one-off task? A sentence at 0.8 or higher is saved to .claude/jev-memory.md and goes back into the first…”
Just SKILL.md in skills/jev-memory of superdesigndev/treg.
Open the folder on GitHubat commit e609803
Jev Memory 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 |
|---|---|---|---|---|---|---|
| Jev Memory this skillsuperdesigndev/treg | 4.5k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Geo Fundamentalswasp-lang/wasp | 19k | 8 repos | ~861 | Automated safety check: Pass | MIT | |
| Hreflang and International SEOAgriciDaniel/claude-seo | 18k | 5 repos | ~3.4k | Automated safety check: Pass | MIT | |
| SEO GeoReScienceLab/opc-skills | 1.8k | 4 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Ad CreativeLeoYeAI/openclaw-marketing-skills | 1k | 8 repos | ~3.4k | Automated safety check: Pass | Custom licence | |
| Google SEO APIsAgriciDaniel/claude-seo | 18k | 1 repos | ~4.2k | Automated safety check: Pass | MIT |
wasp-lang/wasp
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
AgriciDaniel/claude-seo
Audits, validates and generates hreflang tags for multi-language and multi-region sites in HTML, HTTP headers or XML sitemaps, flagging common code and return-tag mistakes.
ReScienceLab/opc-skills
SEO & GEO (Generative Engine Optimization) for websites. An agent skill from ReScienceLab/opc-skills.
LeoYeAI/openclaw-marketing-skills
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.
AgriciDaniel/claude-seo
Pulls real Google data for SEO work: Search Console, PageSpeed Insights, CrUX field data, the Indexing API and GA4 organic traffic, through /seo google commands.
Nexus-JPF/note-companion
When the user wants to set up, improve, or audit analytics tracking and measurement.
superdesigndev/treg
Add a provider to treg's OAuth registry (the ones treg holds its own approved app for).
superdesigndev/treg
One-command local dev stack for tools-registry. An agent skill from superdesigndev/treg.
superdesigndev/treg
Traps when running Google Ads through treg — the API requirements and cleanup semantics that cost round-trips or money.
superdesigndev/treg
Traps to avoid when querying Google Analytics 4 through treg — cases where the GA4 Data API returns a confident wrong answer instead of an error.
superdesigndev/treg
Traps to avoid when querying Google Search Console through treg — cases where the API returns a confident wrong answer instead of an error, especially around totals and recent-date trends.
superdesigndev/treg
tools-registry context + doc upkeep. An agent skill from superdesigndev/treg.
Categories
A skill your agent uses when the user wants Claude Code to remember their preferences across sessions, asks for a memory mod or memory harness for Claude Code, mentions the Jev memory classifier or…. Jev Memory is an agent skill from superdesigndev/treg. Use when the user wants Claude Code to remember their preferences across sessions, asks for a memory mod or memory harness for Claude Code, mentions the Jev memory classifier or a "classifier on every turn" mod, or wants to build a Claude Code mod on treg and Jev.
Jev Memory fits situations like: the user wants Claude Code to remember their preferences across sessions; asks for a memory mod; memory harness for Claude Code; mentions the Jev memory classifier.
Run `npx skills add superdesigndev/treg --skill jev-memory -a claude-code`. Or copy the skill folder (skills/jev-memory in superdesigndev/treg) into .claude/skills/jev-memory in your project. Claude Code loads it when a task matches its description.
Run `npx skills add superdesigndev/treg --skill jev-memory -a codex`. Or copy the skill folder (skills/jev-memory in superdesigndev/treg) into .agents/skills/jev-memory 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 superdesigndev/treg --skill jev-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jev-memory, .gemini/skills/jev-memory, .github/skills/jev-memory and .opencode/skills/jev-memory in your project.
Going by SKILL.md and its folder, Jev Memory needs the command-line tools its instructions call (claude and git).
SKILL.md names 1 domain. As links in the text: treg.to. 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.
Jev Memory has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.7k tokens (SKILL.md is roughly 6.8k 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 Jev Memory: Geo Fundamentals (wasp-lang/wasp, 19k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 18k stars), SEO Geo (ReScienceLab/opc-skills, 1.8k stars) and Ad Creative (LeoYeAI/openclaw-marketing-skills, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
superdesigndev (a GitHub organization) maintains it in superdesigndev/treg, which has 4,540 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 7, 2026.
Source: superdesigndev/treg on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.