A learning-roadmap planner for turning a time-limited goal into ordered study sessions, milestones, and checks for moving forward.

It helps plan preparation for interviews, exams, or learning a code repository over several sessions, adjusted to the learner’s level, time, and weak areas.

It prevents random topic jumping and makes it clear what to learn next and when a learner is ready to continue.

lesson-plan — Skill for Claude Code and Codex by yugash007

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add yugash007/edu-agent-skills --skill lesson-plan

Clone the repo

git clone --depth 1 https://github.com/yugash007/edu-agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/yugash007/edu-agent-skills/lesson-plan/github.svg)](https://agentmods.dev/skills/yugash007/edu-agent-skills/lesson-plan)

Your own site

<a href="https://agentmods.dev/skills/yugash007/edu-agent-skills/lesson-plan"><img src="https://agentmods.dev/badge/skills/yugash007/edu-agent-skills/lesson-plan/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/yugash007/edu-agent-skills/lesson-plan"><img src="https://agentmods.dev/badge/skills/yugash007/edu-agent-skills/lesson-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 806 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00026	$0.00806
Opus 5.5	$0.00010	$0.00322
Sonnet 5.5	$0.00005	$0.00161
Haiku 4.5	$0.00003	$0.00081

Measured 2mo ago against content hash db4ed8b7746d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lesson-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/onboarding/lesson-plan/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Create a coherent learning roadmap that sequences sessions, defines milestones with verifiable gates, and prevents random topic jumping. Gives the learner a clear path from current level to stated goal.

Activation

Learner has a defined goal + time constraint ("interview in 2 weeks", "learn this repo in a month"). Multiple sessions planned with non-trivial sequencing. repo-understand produced a curriculum map needing personalization. Learner asks "where do I start and how do I get to X?"
Skip if: one-off session with no continuity. Learner needs immediate help on a specific concept/bug. Plan already exists and is current.
Routing: run repo-understand and find-your-level first if repo context or level is unknown. Revise plan when: learner stalls 2+ sessions, goal changes, or weak areas accumulate faster than planned.

Inputs

Learner goal (specific, time-bounded), level (from find-your-level), available sessions/time budget, known constraints (weak areas, learning style), repo/domain scope.

Plan Structure

Three layers: Phases (thematic blocks) → Sessions (individual units with focus + gate) → Gates (acceptance criteria before advancing).

Workflow

Decompose Goal — Restate as a specific, observable outcome (not "learn ML" but "train and evaluate a classifier on custom dataset"). Identify 3–5 sub-goals.
Check Prerequisites — For each sub-goal: list prerequisites, check which are confirmed, flag gaps as early sessions.
Define Phases — Group sub-goals into 2–4 phases. Each phase has a coherent outcome and takes 2–5 sessions. Order so each phase's output feeds the next.
Sequence Sessions — Break each phase into sessions. Each has: primary topic, skill(s) to use, gate criterion. Max 2 heavy concepts per session.
Set Gates — Measurable acceptance criteria per session: "can explain X mechanism," "passes challenge-generator at intermediate tier," "completes repo exercise." Gates prevent surface-level advancement.
Add Buffers — 1 revision session per 4–5 sessions. Define re-plan triggers: 2 consecutive gate failures → revise plan.
Get Buy-In — Present as a proposal. Ask: "Does this pacing feel right?" Adjust before finalizing.

Read the full file on GitHub · 60 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 60 lines · 26 tokens per session scan A db4ed8b7746d

Subscribe to this mod's changes

lesson-plan is a skill published in the GitHub repository yugash007/edu-agent-skills (10 stars, last pushed 5mo ago), licensed MIT. It adds 26 tokens to every session and 806 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Learning and teaching Planning active-learning agent-skills ai-agents claude-code-skills codex-skills coding-assistant curriculum onboarding pacing

lesson-plan next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
lesson-planyugash007/edu-agent-skills	Skill	10	5mo ago	MIT	A	26	Claude Code, Codex
learning-coachchrichuang218/ai-learning-coach	Skill	228	20d ago	MIT	A	179	Claude Code, Codex
understand-explainEgonex-AI/Understand-Anything	Skill	91k	11d ago	MIT	A	27	Claude Code
baoyu-comicJimLiu/baoyu-skills	Skill	27k	4d ago	MIT	A	61	Claude Code
founder-coachalirezarezvani/claude-skills	Skill	29k	yesterday	MIT	A	41	Claude Code
slide-excellencepedrohcgs/claude-code-my-workflow	Skill	1.7k	2d ago	MIT	A	94	Claude Code
scaffold-exercisespedrohcgs/claude-code-my-workflow	Skill	1.7k	2d ago	MIT	A	101	Claude Code