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junho5400junho5400/cramcode/.claude/skills/commute/SKILL.md

commute

Skill1 starsChanged 4 months agoMITView on GitHub

A 10-15 minute phone-sized cramcode session — sync, rapid-fire checks on weak/stale KCs, one thumb-typeable micro-test, sync back. Use when the user says they're on their phone, on the bus/train, or wants a quick session.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 1 is distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

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

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

    Open (quiet): If memory is git-tracked (synced mode), run python3 scripts/sync.py load first.

    line 11
  2. Very specific:

    Write evidence: type: "test", "mode": "mobile", verdicts ONLY for KCs genuinely probed, notes quoting their answers.

    line 34
  3. Very specific:

    If synced mode: python3 scripts/sync.py save.

    line 37
  4. Distinctive:

    Keep every message short — no walls of text on a phone.

    line 41

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

/commute — the bus session

Everything fits a phone: short messages, no attempt files, answers the user can thumb-type in one or two lines. Target 10–15 minutes total.

Open (quiet). If memory is git-tracked (synced mode), run python3 scripts/sync.py load first. Then python3 scripts/recommend.py --json and greet with ONE line: what today's focus is and why.

Round 1 — rapid checks (2–3 KCs, ~5 min). Pick the weakest/stalest targets from the recommendation. For each, ask ONE concrete prediction question built from the KC's signals or pitfalls — a micro-scenario, not trivia:

"Sliding window on [2,1,1,3], constraint 'sum ≤ 4'. Right pointer just added the 3 and the window is [1,1,3]. What happens next, exactly?"

Grade each answer as you go (one sentence of feedback, the fix if wrong). These become demonstrated / partial / failed verdicts with the user's answer quoted in the note.

Round 2 — one micro-test (~5 min). Take the recommended test problem and run it phone-style (PROTOCOL.md § "Phone-mode testing"): approach in words, then EITHER 2–3 fill-in-the-blank lines where you scaffold the solution and blank out exactly the KC-bearing lines, OR "you drive, I type" dictation. Then one complexity question. Never ask for full code on a phone.

Close (~2 min).

  1. Write evidence: type: "test", "mode": "mobile", verdicts ONLY for KCs genuinely probed, notes quoting their answers. Run python3 scripts/log_episode.py and show the deltas in one short block.
  2. If synced mode: python3 scripts/sync.py save.
  3. Sign off with one line queued for the next laptop session: "tonight at a keyboard: full /test on Minimum Window Substring."

Keep every message short — no walls of text on a phone. One question at a time, always.

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