DeepTutor CLI
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.
[omh] Blocked on a project by a knowledge gap: just-in-time learning workflow: select and confirm an immediate learning target, research credible sources, and prepare an application-first brief…
$ npx skills add rlaope/oh-my-hermes --skill omh-jit-learn -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rlaope/oh-my-hermes omh-jit-learn --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/rlaope/oh-my-hermes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/omh-jit-learn .claude/skills/omh-jit-learn && 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 "omh-jit-learn" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-jit-learn into .claude/skills/omh-jit-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-jit-learn", 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/rlaope/oh-my-hermes/tree/main/skills/omh-jit-learnType 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 rlaope/oh-my-hermes --skill omh-jit-learn -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rlaope/oh-my-hermes omh-jit-learn --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/omh-jit-learn .agents/skills/omh-jit-learn && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "omh-jit-learn" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-jit-learn into .agents/skills/omh-jit-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-jit-learn", 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 rlaope/oh-my-hermes --skill omh-jit-learn -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rlaope/oh-my-hermes omh-jit-learn --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/omh-jit-learn .cursor/skills/omh-jit-learn && 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 "omh-jit-learn" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-jit-learn into .cursor/skills/omh-jit-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-jit-learn", 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/rlaope/oh-my-hermes.git --path skills/omh-jit-learn--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 rlaope/oh-my-hermes --skill omh-jit-learn -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rlaope/oh-my-hermes omh-jit-learn --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/omh-jit-learn .gemini/skills/omh-jit-learn && 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 "omh-jit-learn" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-jit-learn into .gemini/skills/omh-jit-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-jit-learn", 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 rlaope/oh-my-hermes omh-jit-learnInstalls 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 rlaope/oh-my-hermes --skill omh-jit-learn -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/omh-jit-learn .github/skills/omh-jit-learn && 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 "omh-jit-learn" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-jit-learn into .github/skills/omh-jit-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-jit-learn", 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 rlaope/oh-my-hermes --skill omh-jit-learn -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rlaope/oh-my-hermes omh-jit-learn --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/omh-jit-learn .opencode/skills/omh-jit-learn && 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 "omh-jit-learn" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-jit-learn into .opencode/skills/omh-jit-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-jit-learn", 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.
omh-jit-learn[omh] Blocked on a project by a knowledge gap: just-in-time learning workflow: select and confirm an immediate learning target, research credible sources, and prepare an application-first brief…
Omh Jit Learn is an agent skill from rlaope/oh-my-hermes. [omh] Blocked on a project by a knowledge gap: just-in-time learning workflow: select and confirm an immediate learning target, research credible sources, and prepare an application-first brief without popularity ranking. Use when the user says: jit-learn, learn next, learn now, blocker-specific learning target, highest-leverage learning target, immediate learning payoff, immediately applicable learning brief, source-backed learning brief.
Its SKILL.md is about 3.2k 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. The repository describes itself as: All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 41de9dc. 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 bash).
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.
Omh Jit Learn loads about 3.2k tokens when it runs. Until then it costs about 114 tokens; SKILL.md has 1,636 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 rlaope/oh-my-hermes at commit 41de9dc, republished under its MIT licence (© rlaope). 1,636 words, ~3,232 tokens.
.claude/skills/omh-jit-learn/SKILL.md (or your agent's skills folder).This is a Hermes-native jit-learn workflow skill.
jit-learn exists to choose what is worth learning for the user's present problem and convert credible sources into an immediate application path, instead of returning a generic self-help shelf or a popularity list.
workflow-learning.curriculum-design.paper-learning.source-finder.research.Good example:
Bad example:
curriculum-design because the target is already chosen and the requested output is a sequenced curriculum.product-docs, source-finder, web-research, research, model-optimization, inference-serving, model-finetuning, research-brief, +20 more) - research, signals, ops, and briefings.oh-my-hermes or name the adjacent workflow.omh-routing/references/skill-common-rail.md.Use when selecting the highest-leverage immediate learning target for an active blocker before preparing a source-backed Markdown brief for direct application.
Strong routing signals: `jit-learn`, `learn next`, `learn now`, `blocker-specific learning target`, `highest-leverage learning target`, `immediate learning payoff`, `immediately applicable learning brief`, `source-backed learning brief`, `학습 주제`, `도움 되는 학습 주제`, `당장 적용할 학습 목표`, `책 팟캐스트 크리에이터 강의 학습 브리프`Category: research
Phase: learning-target
Hermes role: researcher
Quality tier: source-gated
Reasoning demand: standard
Quality bar:
Learn X now so I can do/decide Y in context Z by T. before source research.Handoff policy:
Keep reviewed-context interpretation, the bounded one-question-at-a-time interview, target selection, source research, and Markdown brief preparation in Hermes. Do not create a learner profile, take an external action, or claim that a recommendation was consumed, learned, applied, or resolved the blocker.
Required inputs:
Expected outputs:
Artifact expectations:
Safety rules:
confirmation_asked.Learn X now so I can do/decide Y in context Z by T. Here T means the application deadline. When the initial request already supplies all readiness dimensions, use the mandatory first question to confirm this target so research can begin after one answer.Start with the confirmed target statement and a short source-boundary note. Then render all four headings, even when empty:
## Books## Podcasts## Creators## CoursesUnder every heading, list only candidates that passed the source gate. If none passed, say why - for example, insufficient authority, stale or unavailable evidence, poor immediate fit, or an unresolved retrieval gap - rather than padding the section.
For every recommendation include:
Close with ## Competing Targets Considered, ## Filtered Out, ## Gaps, and ## Next Action. Name the competing learning targets, generic defaults or resources rejected and why, unresolved evidence/context gaps, and exactly one recommended starting action.
The terminal state is learning_brief_prepared: the brief is prepared, not observed learning. Preparation does not prove source consumption, learning, progress, application, effectiveness, or resolution of the original blocker.
Preferred harness for this skill: jit-learn.
omh runtime record --skill jit-learn --harness jit-learn --status startedRecord observed delegation results; otherwise return not_available or not_observed.
Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.
Use Hermes-native subagent/delegation features when available: native subagents -> Hermes delegation when available, otherwise sequential lanes.
Shared product, compatibility, topology, memory, harness, and execution rules: omh-routing/references/skill-common-rail.md. Load it when applicable; otherwise name an unavailable capability.
© rlaope, 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 skills/omh-jit-learn of rlaope/oh-my-hermes.
Open the folder on GitHubat commit 41de9dc
Omh Jit Learn 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 |
|---|---|---|---|---|---|---|
| Omh Jit Learn this skillrlaope/oh-my-hermes | 3.2k | — | ~3.2k | Automated safety check: Pass | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 66k | — | ~2k | Automated safety check: Pass | MIT | |
| Deep Reading Analystginobefun/deep-reading-analyst-skill | 353 | 4 repos | ~3.6k | Automated safety check: Pass | MIT | |
| OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC | 40k | — | ~1.7k | Automated safety check: Notes | MIT | |
| Codebase to Coursezarazhangrui/codebase-to-course | 5.7k | — | ~4.4k | Automated safety check: Pass | None |
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
Runs a 10-question quiz across five areas to place a learner in the AI Engineering from Scratch curriculum, so they skip what they already know.
ginobefun/deep-reading-analyst-skill
Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems…
THU-MAIC/OpenMAIC
Guides setup, classroom generation and secondary development for OpenMAIC, the multi-agent interactive classroom, one confirmed phase at a time.
zarazhangrui/codebase-to-course
Turns a codebase into an interactive single-page HTML course for non-technical learners, with scroll modules, animated diagrams, quizzes and plain-English code translations.
alchaincyf/zhangxuefeng-skill
Answers education and career questions in the voice of Zhang Xuefeng, looking up current employment and admissions data before giving a direct verdict.
rlaope/oh-my-hermes
[omh] Screen-reader or keyboard accessibility gaps: prepare WCAG, keyboard, focus, screen-reader, target-size, and reflow evidence gates for UI surfaces.
rlaope/oh-my-hermes
[omh] Choosing between coding agents on evidence: compare executor or agent choices on reproducible tasks using quality, cost, time, tool, and evidence metrics.
rlaope/oh-my-hermes
[omh] Agent instruction file for a repo -- AGENTS.md, CLAUDE.md, a Cursor rule: write or update what an agent cannot derive from the code, inside a marked region, with every command verified or…
rlaope/oh-my-hermes
[omh] AI agent progress for managers: help managers inspect AI-agent progress, blockers, quality gates, and throughput levers.
rlaope/oh-my-hermes
[omh] Messy or AI-generated code to clean up: delete AI-generated slop, dead code, and duplication while observable behavior stays identical.
rlaope/oh-my-hermes
[omh] Application code misbehaves -- a wrong value, a flaky test, a lost update: reproduce it first, form competing hypotheses, discriminate them with the cheapest observation, and only then fix the…
Categories
[omh] Blocked on a project by a knowledge gap: just-in-time learning workflow: select and confirm an immediate learning target, research credible sources, and prepare an application-first brief…. Omh Jit Learn is an agent skill from rlaope/oh-my-hermes. [omh] Blocked on a project by a knowledge gap: just-in-time learning workflow: select and confirm an immediate learning target, research credible sources, and prepare an application-first brief without popularity ranking.
Omh Jit Learn fits situations like: the user says: jit-learn; blocker-specific learning target; highest-leverage learning target; immediate learning payoff.
Run `npx skills add rlaope/oh-my-hermes --skill omh-jit-learn -a claude-code`. Or copy the skill folder (skills/omh-jit-learn in rlaope/oh-my-hermes) into .claude/skills/omh-jit-learn in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rlaope/oh-my-hermes --skill omh-jit-learn -a codex`. Or copy the skill folder (skills/omh-jit-learn in rlaope/oh-my-hermes) into .agents/skills/omh-jit-learn 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 rlaope/oh-my-hermes --skill omh-jit-learn -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/omh-jit-learn, .gemini/skills/omh-jit-learn, .github/skills/omh-jit-learn and .opencode/skills/omh-jit-learn in your project.
SKILL.md names no scripts, command-line tools or credentials: Omh Jit Learn is instructions for the agent only. Our summary lists: Python 3.
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.
Omh Jit Learn is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k 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 Omh Jit Learn: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars), Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 353 stars) and OpenMAIC Setup and Extension (THU-MAIC/OpenMAIC, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
rlaope (a GitHub user) maintains it in rlaope/oh-my-hermes, which has 3,233 GitHub stars. The repository holds 143 skills in this directory. The repository was last updated on October 8, 2026.
Source: rlaope/oh-my-hermes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.