Learn
Skill alessiomarcone/agent-fieldbook/plugins/knowledge-pack/skills/learn
Builds a sequenced learning path from verified official Anthropic and OpenAI course, tutorial, guide, video, and workshop catalogs. Use when the user asks where to start, which Claude or Codex course to take, how to learn prompting, skills, plugins, subagents, MCP, Cowork, or the API, or how long a study plan will take.From its SKILL.md
npx -y skills add alessiomarcone/agent-fieldbook --skill learnAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 5 stars5 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
2.2 KB, 399 tokens by cl100k_base, as published. Nobody here has run it
Learn
Build a focused official learning path with accurate resource types, durations, and direct links.
Catalogs
references/claude-courses.csv— 21 official Anthropic courses.references/claude-tutorials.csv— 30 official Anthropic tutorials.references/codex-learning-resources.csv— verified OpenAI courses, guides, videos, resources, and live series.
Procedure
- Resolve product, goal, starting level, weekly time, and target date when they affect the plan.
- Read the relevant catalogs and select the minimum sequence that reaches the goal.
- Label each item with its real type. Never present a guide, video, workshop, or live event as a self-paced course.
- Use only stated durations; write “not stated” when the official source gives none.
- Add one practical exercise after each learning block.
- Use at most three resources per week and end with one concrete next action.
Default sequences
- Claude foundations: Claude 101 → AI capabilities and limitations → AI Fluency: Framework & Foundations.
- Claude Code: Claude Code 101 → Claude Code in Action → Agent Skills → Subagents → MCP.
- Codex foundations: AI Foundations → Codex Quickstart → Prompting/Best practices → one real task.
- Codex agent workflows: Applied AI Foundations → Agents and Workflows →
AGENTS.md→ Skills → Subagents. - Codex advanced: permissions/sandboxing → plugins → SDK/non-interactive mode → automation and review.
Output contract
Return a table with week, resource, type, duration, practical outcome, exercise, and direct link. Close with total stated time, catalog verification date, and one next step.
Boundaries
- Do not invent resources, duration, or certification status.
- Flag live events with their date and verify availability before recommending them.
- Answer in the user's language.
What ships with it: 4 files
12.2 KB alongside SKILL.md
agents/
- openai.yaml235 B
references/
- claude-courses.csv3.9 KB
- claude-tutorials.csv5.7 KB
- codex-learning-resources.csv2.4 KB