Teach
vasanthsreeram/Alvarmethod
One-to-one tutor using the Alvar method — probe the edge of this mind, plan a mermaid DAG, then teach one reasoning step at a time with a lock-in quiz.
Explain concepts visually using ASCII diagrams, flow charts, tables, and structural maps.
$ npx skills add egregore-labs/egregore --skill visual-explain -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install egregore-labs/egregore visual-explain --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/egregore-labs/egregore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/visual-explain .claude/skills/visual-explain && 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 "visual-explain" agent skill from https://github.com/egregore-labs/egregore/tree/main/.codex/skills/visual-explain into .claude/skills/visual-explain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-explain", 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/egregore-labs/egregore/tree/main/.codex/skills/visual-explainType 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 egregore-labs/egregore --skill visual-explain -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install egregore-labs/egregore visual-explain --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/egregore-labs/egregore.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/visual-explain .agents/skills/visual-explain && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "visual-explain" agent skill from https://github.com/egregore-labs/egregore/tree/main/.codex/skills/visual-explain into .agents/skills/visual-explain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-explain", 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 egregore-labs/egregore --skill visual-explain -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install egregore-labs/egregore visual-explain --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/egregore-labs/egregore.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/visual-explain .cursor/skills/visual-explain && 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 "visual-explain" agent skill from https://github.com/egregore-labs/egregore/tree/main/.codex/skills/visual-explain into .cursor/skills/visual-explain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-explain", 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/egregore-labs/egregore.git --path .codex/skills/visual-explain--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 egregore-labs/egregore --skill visual-explain -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install egregore-labs/egregore visual-explain --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/egregore-labs/egregore.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/visual-explain .gemini/skills/visual-explain && 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 "visual-explain" agent skill from https://github.com/egregore-labs/egregore/tree/main/.codex/skills/visual-explain into .gemini/skills/visual-explain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-explain", 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 egregore-labs/egregore visual-explainInstalls 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 egregore-labs/egregore --skill visual-explain -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/egregore-labs/egregore.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/visual-explain .github/skills/visual-explain && 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 "visual-explain" agent skill from https://github.com/egregore-labs/egregore/tree/main/.codex/skills/visual-explain into .github/skills/visual-explain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-explain", 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 egregore-labs/egregore --skill visual-explain -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install egregore-labs/egregore visual-explain --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/egregore-labs/egregore.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/visual-explain .opencode/skills/visual-explain && 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 "visual-explain" agent skill from https://github.com/egregore-labs/egregore/tree/main/.codex/skills/visual-explain into .opencode/skills/visual-explain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-explain", 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.
visual-explainExplain concepts visually using ASCII diagrams, flow charts, tables, and structural maps.
Visual Explain is an agent skill from egregore-labs/egregore. Explain concepts visually using ASCII diagrams, flow charts, tables, and structural maps. Use when asked to explain, compare, or show how something works.
Its SKILL.md is about 650 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 Education, covering Tutoring and explanations and Diagrams. The repository describes itself as: Shared intelligence layer for organizations. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 05b8672. 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.
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.
Visual Explain loads about 651 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 331 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 egregore-labs/egregore at commit 05b8672, republished under its MIT licence (© egregore-labs). 331 words, ~651 tokens.
.claude/skills/visual-explain/SKILL.md (or your agent's skills folder).<!-- generated-by: bin/codex-sync-skills.sh -->
This adapter runs the canonical Egregore workflow for visual-explain. Its one
maintained body is .claude/skills/visual-explain/SKILL.md; read that file completely and follow it here.
Use the project shell and filesystem directly. Do not invoke Claude Code
commands. Translate interactive choices to structured Codex question tooling
when it is available; otherwise render compact numbered choices with an
Other: option and wait for the user.
This workflow has a Claude skill with user-visible structured output. After
reading .claude/skills/visual-explain/SKILL.md, reproduce the same visible UX in Codex:
text fenced block.text fenced
block and do not print it a second time..claude/skills/visual-explain/SKILL.md for the workflow details.bin/ scripts directly from Codex..claude/context/notification-consent.md: plan without sending, then show
a separate exact Send / Edit / Cancel checkpoint. Never infer notification
consent from the workflow request or a batch approval.egregore.json declares "mode": "local".egregore-handoff CLI for Egregore project
handoffs.© egregore-labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .codex/skills/visual-explain of egregore-labs/egregore.
Open the folder on GitHubat commit 05b8672
Visual Explain 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 |
|---|---|---|---|---|---|---|
| Visual Explain this skillegregore-labs/egregore | 291 | — | ~651 | Automated safety check: Pass | MIT | |
| Teachvasanthsreeram/Alvarmethod | 163 | — | ~620 | Automated safety check: Pass | MIT | |
| Knot Theory Educatorcuriositech/some_claude_skills | 243 | — | ~2.6k | Automated safety check: Notes | MIT | |
| Repo TutorMathews-Tom/armory | 328 | — | ~3.1k | Automated safety check: Pass | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| AI Engineering Project Tutorrohitg00/ai-engineering-from-scratch | 66k | — | ~1.6k | Automated safety check: Pass | MIT |
vasanthsreeram/Alvarmethod
One-to-one tutor using the Alvar method — probe the edge of this mind, plan a mermaid DAG, then teach one reasoning step at a time with a lock-in quiz.
curiositech/some_claude_skills
Expert in visualizing and explaining braid theory, knot mathematics, and topological concepts for educational purposes.
Mathews-Tom/armory
A skill your agent uses when a user supplies a local repository path or remote Git URL and asks to "teach me this repo", "explain this codebase simply", "show how this system works", "help me use…
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
rohitg00/ai-engineering-from-scratch
Tutors a learner through one stage of a hands-on AI engineering project per session: lesson, prediction, code, grader run and reflection, with hints but never full solutions.
voidful/hung-yi-lee-skill
Explains machine learning, LLMs, AI agents and speech modeling in a Hung-Yi Lee-inspired teaching style, drawing on a knowledge base built from his lectures and research references.
egregore-labs/egregore
Analyze a user interview from Granola, pasted text, or a file into an evidence-backed briefing, journey insights, product findings, patterns, and actions.
egregore-labs/egregore
Analyze a Granola meeting into an evidence-backed briefing, decisions, findings, patterns, actions, and continuity.
egregore-labs/egregore
Generate a branded HTML artifact from Egregore data (quest, handoff, activity, board, network, or any document) and open it in the browser.
egregore-labs/egregore
Explicit Activity card only. An agent skill from egregore-labs/egregore.
egregore-labs/egregore
Run diagnostics on an Egregore environment and render a health report, repairing safe local Runtime problems when possible.
egregore-labs/egregore
Explicit personal-status surface for /dashboard or a direct request for the whole personal overview.
Categories
Explain concepts visually using ASCII diagrams, flow charts, tables, and structural maps. Visual Explain is an agent skill from egregore-labs/egregore. Explain concepts visually using ASCII diagrams, flow charts, tables, and structural maps.
Visual Explain fits situations like: asked to explain; show how something works.
Run `npx skills add egregore-labs/egregore --skill visual-explain -a claude-code`. Or copy the skill folder (.codex/skills/visual-explain in egregore-labs/egregore) into .claude/skills/visual-explain in your project. Claude Code loads it when a task matches its description.
Run `npx skills add egregore-labs/egregore --skill visual-explain -a codex`. Or copy the skill folder (.codex/skills/visual-explain in egregore-labs/egregore) into .agents/skills/visual-explain 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 egregore-labs/egregore --skill visual-explain -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/visual-explain, .gemini/skills/visual-explain, .github/skills/visual-explain and .opencode/skills/visual-explain in your project.
SKILL.md names no scripts, command-line tools or credentials: Visual Explain 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.
Visual Explain is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 651 tokens (SKILL.md is roughly 2.6k 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 Visual Explain: Teach (vasanthsreeram/Alvarmethod, 163 stars), Knot Theory Educator (curiositech/some_claude_skills, 243 stars), Repo Tutor (Mathews-Tom/armory, 328 stars) and DeepTutor CLI (HKUDS/DeepTutor, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
egregore-labs (a GitHub organization) maintains it in egregore-labs/egregore, which has 291 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on October 1, 2026.
Source: egregore-labs/egregore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.