learning-path
Use when the user says 'learning path', 'what should I learn next', 'plan my learning', 'learning retro', or 'what did I learn this week'; plans a path or, in…
Skill by courtneyr-dev
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/courtneyr-dev-learning-path
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/learning-path
What's inside
- Skill name
learning-path- Description
- Use when the user says 'learning path', 'what should I learn next', 'plan my learning', 'learning retro', or 'what did I learn this week'; plans a path or, in retro mode, reviews a finished one.
- License
- MIT
- Instructions
- 38 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Learning path One plan note per topic; plan mode writes it, retro mode edits it. No note for the topic (frontmatter `type: learning-path`) → plan. Note exists and the user names a milestone, says "retro", or asks what you learned → retro (no note: say so, then plan). Two or more matching notes → ask which (the one mid-task question). ## Folder Folder: unset. Agree it with the user in the first intake question and record it here (one-line edit). ## Plan mode Inputs: topic, baseline (known or built), target outcome (what you will ship or do), hours per week, deadline. Missing ones: one batched question, then finish without further check-ins. 1. Resources: reuse your Reader library (`readwise-mcp`) and `Resources/Readwise/` first; cap at 3 primary. Confirm each by search (URL, edition, version) even when the title is familiar. 2. Sequence fundamentals → applied practice. Each milestone: date, deliverable, pass/fail check, one practice exercise with feedback criteria; `quiz` is the understanding check. 3. Write the note (≤1 page): frontmatter (`type`, `topic`, `status`, `created`, `hours_per_week`, `deadline`), milestone table, one paragraph per milestone, empty `## Retros` section. Done: note in the agreed folder; every milestone dated with deliverable and check; milestone hours ≤ hours per week × weeks to deadline. ## Retro mode Inputs: the plan note; evidence since the last retro entry (or `created`): commits, vault notes, quiz results, daily notes, and what the user says you did. Preconditions — four open blockers from the 2026-08-08 weekly-retro design (`Projects/weekly-learning-retro/`, a separate unbuilt session). Check each; record its state in the entry: 1. chief-of-staff paths unrepaired (no `Review/Weekly/` file in 14 days) → orient from the plan note and evidence only; say so. 3. Things AppleScript write unverified → list next actions in the entry for your to add by hand; create nothing in Things. 4. No session day picked → runs only when asked; no schedule, no cron. Steps: 1. Score each due milestone pass, partial, or miss against its check, citing the file or commit. 2. Name blockers and weak concepts recurring across 2+ milestones; mark each reinforce or defer. 3. Re-date remaining milestones to the hours left; give the next one a date and a measurable checkpoint. 4. Surgical edit, not a whole-file rewrite: append a dated entry under `## Retros`; update the milestone rows. Done, all in the plan note: each due milestone scored with evidence; next milestone dated with a checkpoint; four precondition states recorded.
From courtneyr-dev/agent-skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 20, 2026 (1 month ago)
- Last release
- Sep 5, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/courtneyr-dev/agent-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
learning-path skill. Agent Mart. https://agentmart.dev/skills/courtneyr-dev-learning-path (last updated 2026-10-24)