agentleFS
HolojermHolojerm/drawthesystem/skills/solution/SKILL.md

solution

Skill0 starsChanged 2 months agoMITView on GitHub

Generate a reference architecture for a session as a real .excalidraw diagram plus a written walkthrough and a diff against your attempt. Usage — /solution [session-dir]

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    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:

    Read prompt.md, interviewer.md, feedback.md, rubric/rubric.md, and the company profile.

    line 12
  2. Very specific:

    Write <session>/solution-spec.json in the spec format documented at the top of scripts/excalidraw.mjs:

    line 15
  3. Very specific:

    Run bun scripts/excalidraw.mjs <session>/solution-spec.json <session>/solution.excalidraw, then bun scripts/read-excalidraw.mjs …

    line 21

≈ “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

/solution [session-dir]

Produce the "model answer" after the user has attempted the scenario. Refuse (politely) if there is no feedback.md yet — seeing the answer first defeats the practice; offer /mock or /critique instead. Override with --force.

Steps

  1. Read prompt.md, interviewer.md, feedback.md, rubric/rubric.md, and the company profile.
  2. Design the reference architecture yourself: complete, justified, labelled, with numbers — 12–20 nodes. This is the full map for study, not what anyone draws in 45 minutes. Then also produce <session>/solution-45min-spec.json → solution-45min.excalidraw: what a strong staff candidate actually draws in the room — 10–12 boxes, the crux decisions, and a notes block with the 4–5 numbers they'd say out loud.
  3. Write <session>/solution-spec.json in the spec format documented at the top of scripts/excalidraw.mjs:
    • layer = column left→right (clients → edge → services → storage/queues → async consumers → analytics). Pin row to build clean bands (e.g. row 0 control plane, row 1 real-time flow, row 2 its stores, row 3 customer/query). Keep most edges between adjacent columns; for the few long or backward ones set via: "top"|"bottom" so they take a lane around the diagram. Don't draw every "writes to DB" arrow — annotate the store's label instead and keep the diagram about flow.
    • kind per node so colours carry meaning; use note on storage nodes for partition key / replication / TTL.
    • Edge labels: verb + protocol or payload; style: "dashed" for async.
    • groups for service boundaries or regions when they clarify.
    • notes block: key numbers, consistency choices, and the crux in one line each (≤ 6 bullets).
  4. Run bun scripts/excalidraw.mjs <session>/solution-spec.json <session>/solution.excalidraw, then bun scripts/read-excalidraw.mjs <session>/solution.excalidraw and confirm the summary matches your intent (no dangling arrows, every node labelled, groups contain only their members). Fix the spec and regenerate if not — the workbench Solution view refreshes on its own.
  5. Write <session>/solution.md:
# Reference solution — <title>
## What a strong 45-minute answer actually looks like — point at solution-45min.excalidraw; the ~60 s of spoken numbers; the crux in one sentence each; which one deep dive; the trade-offs named when asked. State plainly that the full map below is for study, not the bar for the room: Staff vs Senior is justification depth and finding the crux unled, not coverage.
## Requirements as I'd state them (functional / non-functional / out of scope)
## Estimates (3–6 lines, show the arithmetic)
## API & data model (endpoints/events; entities with keys and why)
## Architecture walkthrough — read path, write path, async path; each component's job in one line
## Deep dive: <the crux component> — algorithm/protocol/data structure level
## Deep dive: <second most likely probe>
## Trade-offs table — decision | chosen | alternative | why here
## Failure modes & mitigations (5–8)
## Scaling to 10× — what changes first
## Diff vs. your attempt — 3–6 bullets from feedback.md: what you had, what's different, why it matters
## Talk track — 60-second summary you could say out loud
  1. Print: how to view it — workbench http://localhost:7788/sessions/<dir> → Solution toggle (read-only, side by side with their canvas via the toggle), or bun scripts/to-clipboard.mjs <session>/solution.excalidraw → Cmd+V on excalidraw.com — and the Diff vs. your attempt section. Suggest they redraw from memory tomorrow and /critique again.

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Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.