agentleFS
junho5400junho5400/cramcode/.claude/skills/import/SKILL.md

import

Skill1 starsChanged 4 months agoMITView on GitHub

Seed the cramcode knowledge tree from the user's LeetCode history as low-confidence priors. Use once at setup, or when the user mentions problems they've already solved elsewhere.

15 other projects use a version of this.

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Projects with it also use export, report and 1 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • soilmassSkill

    export

    Animation export configurations including format selection, resolution, framerate, quality, and optimization settings. Use when rendering animations for web, mobile, video, or social media. Provides tokens for all export parameters across Lottie, GIF, video, and sprite sheet formats.

    Also in 3 projects that use this

  • MicrosoftSkill

    report

    Turn an exploration (threads, findings, charts) into a single Markdown report — note, blog post, executive summary, KPI dashboard, slide brief, or multi-section analytical report, with embedded charts.

    Also in 3 projects that use this

  • OpenAISkill

    audit

    Audit or critique a product flow, journey, workflow, funnel, onboarding path, checkout path, settings path, screen, or multi-step product experience by capturing screenshots first, then reporting UX, design, and accessibility findings inline from that evidence. Use Figma only when the user explicitly asks for a board. Use when the user asks to audit, review, critique, inspect, assess, analyze, evaluate, or give feedback on a product experience.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 11 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    A. Public profile fetch: Ask for their LeetCode username.

    line 17
  2. Very specific:

    Write the array to memory/.staging/submissions.json.

    line 39
  3. Distinctive:

    Run the import script with that path.

    line 40
  4. Distinctive:

    Never ask for their LeetCode password or session cookie.

    line 45

“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

/import — start from what they've already done

Goal: a JSON array of {"slug": "...", "timestamp": <unix-or-ISO>} accepted submissions, fed to:

python3 scripts/import_leetcode.py <file>

Offer the user three paths (docs/leetcode-import.md has the details):

A. Public profile fetch. Ask for their LeetCode username; their recent accepted submissions are publicly visible on their profile page (https://leetcode.com/u/<username>/). If you have web access in this session, fetch and extract titleSlug + timestamp pairs. Only recent submissions are public (~20), so this is a partial seed — say so.

B. Full export via DevTools — LeetCode or NeetCode. Point them to docs/leetcode-import.md: the LeetCode snippet uses the progress API (few requests) with a rate-limit-tolerant fallback pager; the NeetCode snippet reads their checkmarks off neetcode.io/practice (no dates there, so it asks for a rough era). Both download a JSON the import script takes directly. Partial exports are fine and re-importing is safe (max() seeding) — if their export got cut off, import it anyway and fill the gaps via path C.

C. Just tell me. They describe what they've done ("most of the NeetCode arrays and two-pointers lists", "Blind 75 about half") — you translate to curriculum slugs (see curriculum/problems/*.json), estimating timestamps honestly (ask roughly WHEN — "last semester" → ~6 months ago, and decay will do the rest). Confirm the list with them before writing it. Always available, zero setup.

Then:

  1. Write the array to memory/.staging/submissions.json.
  2. Run the import script with that path.
  3. Show the report and run python3 scripts/status.py — walk them through what the decayed priors mean: "the tree believes you've SEEN these, not that you own them; a few cold /tests will true it up fast."

Never ask for their LeetCode password or session cookie. Options A–C exist precisely so credentials never touch this repo.

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