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ship-lesson

Uploads a polished course lesson to your community.
description: "Triggers on prompt mention of 'ship-lesson'."
personal 2 files 10 recent evals

What it does for you

Uploads a polished course lesson to your community.

What it produces

A recent result, so you can see the kind of work it returns.

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How to get it

These run inside the Snappy workspace. Want this working in your business? I set skills like this up with you, in one focused week.

Work with me
For developers how this skill is built, graded, and how it runs

at a glance- the short version

eval modeauto
categoryContent
stages4
dependsskool-fetcher, content-polish

what's inside - the parts that make up a skill 2/4 present

A skill is just a few plain-text files. Only the main one is required. The rest are optional, added as the work needs them. This is what the skill is made of; how it runs is just below.

The skill
state/skills/ship-lesson/SKILL.md present
the skill itself, in plain text
The main file. It says what the skill is and lays out the steps in plain English.
Code
state/lib/ship-lesson.ts not present
code the skill can run
Optional. Many skills are just words and need no code at all.
Scripts
state/bin/ship-lesson/ not present
helper scripts
Optional. Added when a skill has a few commands to run.
Loader
state/skills/ship-lesson/AGENTS.md present
what the AI loads on the fly
Loaded automatically the moment this skill is needed. Kept short on purpose.

how it's graded - what counts as a good run 3 criteria · 2 deterministic · 1 judge

Each row is one thing a good run has to get right. deterministic means a quick check decides, pass or fail. judge means the AI reads the result and rates it. Grading each piece on its own (instead of one overall score) shows exactly where a run fell short, so the fix is obvious.

name
kind
check
polish_gate_handling
deterministic
The 'chain' log for the 'polish-gate' action correctly reflects 'blocked: true' if polish_result.score < 1.0, and aborts if polish_result.score === 0.
upload_and_fetch_integrity
deterministic
The final score for 'ship-lesson' is 1.0 only if both 'shipped' and 'fetched_matches' are true, yielding 0.0 otherwise.
no_parallel_writes_observed
judge
Review logs or system output to confirm no simultaneous 'ship-lesson' executions against the same session, adhering to the 'no_parallel_browser_writes' constraint.

how it runs - the shared frame every skill uses 3/5 present

Every skill runs the same way. One part does the work, a separate part checks it, and a short loader hands the AI exactly what it needs for the job. Anything this skill doesn't use shows a one-line note saying why, on purpose, not by accident.

makes the work The worker
inferred
state/bin/skool/upload-lesson.sh` (graduated scr from the run command
No worker is named directly, so the command this skill runs is treated as the worker.
checks the work The reviewer
not present

No separate check found. Without one, the part that makes the work could end up approving its own work, worth a closer look.

frame
learns Self-correction
present
fixes itself learns from gaps
When a run hits a gap, the skill gets edited on the spot [FIXED] or queued for a bigger rewrite [LOGGED], so it keeps getting better.
tidies up Background fixes
present
queued for rewrite runs in the background
Bigger fixes that can't be made on the spot get queued and rewritten in the background later.
remembers Run history
present
state/log/evals.ndjson unknown runs
Every run is written down here, so the next time this skill is used it already knows how the last runs went.
Critical rules the things this skill must not get wrong
  1. NEVER parallelize ship-lesson runs — memory no_parallel_browser_writes. Fan-out across lessons silently drops writes; one serialized call per lesson
  2. ALWAYS run polish gate before upload — polish_score === 0 HARD-ABORTS, 0.5 proceeds with the rewritten draft (NOT the original)
  3. ALWAYS independent-fetch after upload claims success — actor (uploader) ≠ auditor (separate playwright session reads back rendered title + first paragraph)
  4. Fetch-mismatch scores 0.0, NOT 0.5 — a "successful upload" that lost content is the exact failure mode certificates-only operation hides (primary_issue: "content-drift-after-upload")
  5. Cover image URL must already be CDN-hosted (by image skill). Raw local paths fail silently on Skool side
  6. skool-auth-restore.sh runs first if the playwright session is stale

what it has learned - fixes written back in over time sample

When a run hits something this skill didn't handle, the fix gets written back into the skill so it doesn't happen again. FIXED means it was corrected on the spot. LOGGED means it's queued for a bigger rewrite. Either way, the skill gets a little better and never makes the same mistake twice.

  1. Loading feedback rows…

how the work flows- step by step

inputs skool-fetchercontent-polish
1 check
Lint + polish (gate)
```typescript
what this step does
score === 0 hard-aborts. score === 0.5 (fixed on retry) proceeds with the rewritten draft, not the original.
2 generator
Upload (serialized)
Shell to state/bin/skool/upload-lesson.sh with the polished draft +
what this step does
Shell to state/bin/skool/upload-lesson.sh with the polished draft + cover URL. The script owns the playwright session.
3 stage
Independent fetch
After upload claims success, fetch the lesson URL via a separate
what this step does
After upload claims success, fetch the lesson URL via a separate playwright run and extract the rendered title + first paragraph. Compare against expected — actor ≠ auditor.
4 auditor
Log + score
```typescript
what this step does
**Fetch-mismatch scores 0, not 0.5.** A "successful upload" that lost content is the exact failure mode certificates-only operation hides.

SKILL.md- the skill, written out in plain English

ship-lesson

Draft → polish gate → Skool upload → independent fetch confirm. Each lesson ship is one atomic run. Parallel ships against the same session are forbidden (see memory: no parallel browser writes - DOM-mutation agents silently drop writes).

Steps

1. Lint + polish (gate)

const draft = readFileSync(draft_path, "utf8");
const polish_result = await polish(draft, { max_turns: 3 });
if (polish_result.score < 1.0) {
  // polish_result.score < 1.0 means it required a rewrite or still failed
  append("chain", { run_id, skill: "ship-lesson", action: "polish-gate",
                    polish_score: polish_result.score, blocked: true });
  if (polish_result.score === 0) throw new Error("polish-gate-failed; aborting ship");
}

score === 0 hard-aborts. score === 0.5 (fixed on retry) proceeds with the rewritten draft, not the original.

2. Upload (serialized)

Shell to state/bin/skool/upload-lesson.sh with the polished draft + cover URL. The script owns the playwright session.

3. Independent fetch

After upload claims success, fetch the lesson URL via a separate playwright run and extract the rendered title + first paragraph. Compare against expected - actor ≠ auditor.

4. Log + score

score("ship-lesson", run_id, {
  score:
    shipped && fetched_matches ? 1.0 :
    shipped && !fetched_matches ? 0.0 :   // silent data loss
    0.0,
  polish_score: polish_result.score,
  lesson_url,
  fetched_title_matches: fetched_matches,
  primary_issue:
    !shipped ? "upload-failed" :
    !fetched_matches ? "content-drift-after-upload" :
    null,
});

Fetch-mismatch scores 0, not 0.5. A "successful upload" that lost content is the exact failure mode certificates-only operation hides.

Gotchas

  • Never parallelize. Memory: no_parallel_browser_writes. Fan-out

across lessons = one serialized ship-lesson call per lesson.

  • Cover image URL must already be CDN-hosted (by image skill). Raw

local paths fail silently on Skool side.

  • skool-auth-restore.sh runs first if the session is stale.

Graduation

Sidecar at state/bin/skool/upload-lesson.sh. Skill page owns the polish gate + fetch verification; the script owns the browser mechanics.

Rubric

criteria:
  - name: polish_gate_handling
    kind: deterministic
    check: "The 'chain' log for the 'polish-gate' action correctly reflects 'blocked: true' if polish_result.score < 1.0, and aborts if polish_result.score === 0."
  - name: upload_and_fetch_integrity
    kind: deterministic
    check: "The final score for 'ship-lesson' is 1.0 only if both 'shipped' and 'fetched_matches' are true, yielding 0.0 otherwise."
  - name: no_parallel_writes_observed
    kind: judge
    check: "Review logs or system output to confirm no simultaneous 'ship-lesson' executions against the same session, adhering to the 'no_parallel_browser_writes' constraint."

AGENTS.md- what the AI loads when this skill comes up

ship-lesson - loader

Per-turn rules for the ship-lesson skill. Full reference: state/skills/ship-lesson/SKILL.md. Do not skip these.

Critical Rules

  • NEVER parallelize ship-lesson runs - memory no_parallel_browser_writes. Fan-out across lessons silently drops writes; one serialized call per lesson
  • ALWAYS run polish gate before upload - polish_score === 0 HARD-ABORTS, 0.5 proceeds with the rewritten draft (NOT the original)
  • ALWAYS independent-fetch after upload claims success - actor (uploader) ≠ auditor (separate playwright session reads back rendered title + first paragraph)
  • Fetch-mismatch scores 0.0, NOT 0.5 - a "successful upload" that lost content is the exact failure mode certificates-only operation hides (primary_issue: "content-drift-after-upload")
  • Cover image URL must already be CDN-hosted (by image skill). Raw local paths fail silently on Skool side
  • skool-auth-restore.sh runs first if the playwright session is stale

Commands

| ui dashboard | state/skills/ship-lesson/resources/ui.openui | |invoke: state/bin/skool/upload-lesson.sh (graduated script) - invoked AFTER polish gate passes |polish gate: polish(draft, { max_turns: 3 }) |auth restore: state/bin/skool/skool-auth-restore.sh (run first if session stale) |eval log: state/log/evals.ndjson (skill: "ship-lesson")

OpenUI Resource

  • Skill-owned OpenUI Lang resource: state/skills/ship-lesson/resources/ui.openui. Read it before rendering or editing this skill's generated component surface.
  • Treat this resource as a first-class artifact of the skill, not a generic chat response. Improve it when the skill's user-facing output needs to become richer.
  • System resources compose OpenUI primitives and inherit SnappyChat tokens. Use ui_contract: branded in SKILL.md only for deliberate platform or client visuals.

Known Pitfalls

  • Score 0.5 means the polished draft (not the original) goes to upload - passing the original after a rewrite poisons the lesson
  • An "upload succeeded" toast from the same browser session is NOT verification - must be an independent fetch from a different playwright run
  • Cover URL that's a local path will fail silently on Skool - the upload reports success but the lesson renders broken

Self-Test

An agent reading this should correctly:

  1. [ ] Refuse to fan out two ship-lesson invocations against the same Skool session?
  2. [ ] Score 0.0 (not 0.5) when upload claims success but the independent fetch finds different content?
  3. [ ] Pass the rewritten draft (not the original) to upload when polish_score === 0.5?

Self-report

If this loader fell short, append a line:

echo "[$(date -u +%FT%TZ)] ship-lesson: <what was missing>" >> state/log/loader-feedback.log

<!-- kernel-ok: historical attribution for the PID-loader pattern. -->

Self-correcting loader (PID feedback)

This is the rule that makes loaders learn. Ported from snappy-kernel, where it demonstrably worked: the snappy-dom-cartographer skill mapped Skool admin UI once, every later ship-agent inherited the full map for free.

Before you finish, do two things:

1. Fix gaps (P - proportional). MANDATORY. If this loader didn't cover your case - if you had to read another file, run an undocumented command, work around a wrong selector, or discover a quirk - you MUST attempt an Edit to this AGENTS.md before you log.

  • Default action: edit this file. Surgical. Add the missing line, table

row, or code example where it belongs. No restructuring.

  • Only LOGGED is allowed when: the fix needs >10 lines, spans multiple

files, or requires a structural rewrite. In that case the state/regen/drain.sh queue picks it up asynchronously.

  • "I didn't have time" / "it's minor" / "the next agent will figure it out"

are NOT valid reasons. Minor gaps compound - that's the whole point of this loop.

  • Concrete example of a valid P-fix: discover agent-browser screenshot

takes path positionally not as --output <path>. One line in a table. Edit it in. Do not just log it.

  • The goal: the next agent never has to leave the loader.

2. Log the result.

echo "[$(date -u +%FT%TZ)] ship-lesson: <what was missing or fixed> [FIXED|LOGGED]" >> state/log/loader-feedback.log
  • FIXED = you patched this loader inline (P-fix).
  • LOGGED = too large for inline; the PostToolUse enqueue + Stop-hook drain

will rewrite the loader from scratch on next session-end.

Do not skip this. Every agent run must leave the system better than it found it. The loader is the setpoint; you are the sensor; the gap is the error signal; closing the gap is the correction.

api.ts- the code it can call

⚠ no api.ts - this skill has no typed action surface

scripts- helper scripts it can run

prose-only skill - 3 inline code blocks live in SKILL.md above (no state/bin/ sidecar yet).

how we check it- the checks, plus the last 10 runs

rubric auto polish-passes + upload-succeeds + independent-fetch
recent mean 1.00 · 10 runs actor/auditor: unverifiable
deps skool-fetcher content-polish
timestamp verb score primary_issue artifact
2026-04-25 04:11Z - 1.00 - -
2026-04-21 15:59Z - 1.00 - -
2026-04-21 15:57Z - 1.00 - -
2026-04-21 03:53Z - 1.00 - -
2026-04-25 04:11Z - 1.00 - -
2026-04-21 15:59Z - 1.00 - -
2026-04-21 15:57Z - 1.00 - -
2026-04-21 03:53Z - 1.00 - -
2026-04-25 04:11Z - 1.00 - -
2026-04-21 15:59Z - 1.00 - -