A1-10 + D-5. The queue answers "what is scheduled"; nothing answered "is the week covered, and what is still being written". N13 makes both readable at session start. - Publishing slots are operator config: profile/publishing-slots.json in the per-user data dir, schema + OPT-IN template in config/publishing-slots.template.json. The plugin ships no publishing times and writes the grid for nobody; absent config means every slot surface stays silent (same never-nag discipline as the trend/brain nudges). Data dir rather than the state file, which is machine-written and whose frontmatter reader does not parse lists. - hooks/scripts/slots.mjs (new): one implementation behind four surfaces. Zero-dep (a SessionStart hook must not spawn tsx), pure core (dates in as strings, no clock), imported by the commands exactly as queue-manager.mjs already is — so session-start's vacancy warning and Step 10's slot default cannot drift apart. - Coverage counts the short-form queue (scheduled/published; cancelled frees the slot) AND editions-register rows claiming that date, counted per date, so long-form and short-form cannot be double-booked and a two-slot day needs two posts. - Session start gains "## Editions in Flight" (series, phase, next action, claimed slot, days in flight) and "## Publishing Slots" (next open slot, open count in 14 days, and how to fill it when the gap is <=3 days). The existing discovery nudge is untouched. - /linkedin router + /linkedin:calendar surface the same roll-up; calendar documents the opt-in copy. /linkedin:newsletter Step 10 defaults to the next open slot (one confirmation, not an interview) and writes --slot onto the register row. - D-5: references/scheduling-strategy.md marked "confidence: low / directional" per the algorithm reference's own standard, deferring to the operator's grid and their own analytics. Neutral example time replaces the operator-specific one in the N12 docs. TDD: red proven first (module absent; 5 session-start behaviours failing). hooks 140 -> 174 · test-runner 184 -> 197 (Section 16t: 13 unconditional greps incl. a de-niche check that no publishing time is hardcoded in the slot path and no operator grid is committed, + non-vacuity self-test; anti-erosion floor 166 -> 179). Suites green: trends 300/0 · brain 134/0 · editions 72/0 · specifics-bank 45/0 · tests 35/0 · render 60/0. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01QxvWAjte7vPcF79QeSRvRJ
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editions — series-level memory for long-form
Two stores, one package, both about what a series knows rather than what an edition knows: the distillate (N11) — what the reader has already been told — and the register (N12) — what is in production right now and how long it is taking.
1. Series distillate (N11, serie-nivå-vern)
Every long-form gate agent sees one edition. At two editions a week the fastest- growing defect class is not a bad edition — it is a repeated one: the anecdote, the argument or the hook the reader already met three editions ago. That failure is structurally invisible today, and the specifics-bank dedupe actively encourages re-surfacing the same material.
So each locked edition leaves behind a distillate of the narrative units it spent, and the Step 2.5 skeleton gate checks the next skeleton against it — before prose exists, the only point where changing course is still cheap.
Where the distillate lives
<serie>/linkedin/series-distillate.json — beside edition-state.json in the series
root, not in the per-user data dir. It is series-scoped state, the series folder is
already where the edition's state lives, and putting it there means it travels with the
series and needs no slug→path map.
Series-scoped is the point: this answers "has this reader heard it?". Cross-series
re-use of the operator's raw material is a different grain, tracked by the
specifics-bank's usedIn log.
Setup
cd scripts/editions && npm install
Use
# Step 8 (lock): fold the edition's spent units into the series distillate
node --import tsx src/cli.ts distil-append \
--distillate "<serie>/linkedin/series-distillate.json" \
--series seres --extract "<abs>/extract.json"
# Step 2.5 (before prose): check the proposed skeleton against everything published
node --import tsx src/cli.ts distil-check \
--distillate "<serie>/linkedin/series-distillate.json" \
--skeleton "<abs>/skeleton.json" [--threshold 0.4] [--json]
extract.json = {editionId, title, lockedAt, anecdotes[], arguments[], hooks[]} — the
AI extract from the locked edition. skeleton.json = {anecdotes?, arguments?, hooks?}.
Exit codes: 0 on success — including a REUSE verdict. The check is advisory by
design (it reports into the annotation gate the operator already reads at Step 2.5),
unlike the binding gate's BLOCK. 2 on usage error.
Model
- Extraction is AI, comparison is code. The command layer distils the units from the locked prose; the store, the similarity and the verdict are plain deterministic code — no model in the loop, no run-to-run variance.
- Similarity = character-trigram Jaccard, not word overlap. The plugin is
language-general and the languages it is used in are inflection-heavy: migrere /
migreringen are the same unit to a reader but different word tokens. Calibrated
against real paraphrase pairs (see
tests/distillate.test.ts): retellings score 0.44–0.55, unrelated material 0.04–0.06, same-topic-different-story 0.24 — so the default threshold sits in the gap at 0.40. Word-Jaccard scored a shortened hook paraphrase at 0.11 and would have let it through. - Units are compared within their kind. An argument re-used as a hook is a new move, not a retread.
- A re-locked edition replaces its entry, never duplicates it —
/linkedin:pivotre-opens and re-locks the same edition, and the reader still only met it once. - A missing distillate is not an error. A series' first edition compares against nothing and is CLEAR.
2. Editions register (N12, A1-11 / A1-12)
Two things were structurally invisible before this: which editions are in flight
(readable only by opening every series folder's edition-state.json by hand) and how
long an edition takes (not recorded anywhere at all). At a two-editions-a-week cadence
both are load-bearing — you cannot dimension a production line on numbers you never
collected.
So every phase transition in /linkedin:newsletter runs one command that does two
writes: it appends {phase, completedAt} to articles.NN.phaseLog in the edition-state,
and mirrors the edition's row into the register.
# at EVERY phase transition (after currentPhase has been written)
node --import tsx src/cli.ts register-upsert \
--edition-state "<serie>/linkedin/edition-state.json" \
--next "Step 3a — spine prose" [--slot "2026-07-28 08:30"] [--path <series-root>]
# the week's work-in-progress, without opening a single series folder
node --import tsx src/cli.ts register-list [--all] [--json]
# at Step 10, once the edition is scheduled — prints the measured lead time
node --import tsx src/cli.ts register-complete --series seres --edition 05
Where the register lives
${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/editions/register.json — the
per-user data dir (M0 convention), because it spans all series and must survive plugin
upgrades and reinstalls. Contrast the distillate above, which is per-series and therefore
lives in the series root.
Model
- The register is a MIRROR, never a source of truth. Every row is derived from an
edition-state.jsonat a transition. Resumption reads edition-state and nothing else; delete the register and the next transition rebuilds the row. Losing it costs telemetry, not an edition — so a failedregister-upsertis reported, never a reason to stop the pipeline. - One call, both writes. A phase log the command layer had to remember to append separately would be incomplete inside a week, and an incomplete log measures nothing.
- No clock in the core. Every mutation takes
nowas an argument (--at/--nowat the CLI edge), exactly like the distillate takeslockedAt. Deterministic tests, no hidden timezone behaviour. startedAtnever moves. It is the lead-time anchor: re-upserting a completed edition reactivates the same row (that is what/linkedin:pivotdoes), so the measured time reflects real elapsed production rather than restarting the clock.- Idempotent where a re-run is legitimate, not where it is real work. Repeating the
same transition logs once; a phase that recurs after another one is logged again,
because a pivot back through cleared gates is production time that actually happened.
Completing twice keeps the first
completedAt. - Missing facts are errors, not defaults. A row naming the wrong phase is worse than no row — the whole point is that the list can be trusted without opening files. Only the title is allowed to be empty; it is telemetry, not a gate.
Test
npm test # node:test, deterministic (callers supply lockedAt)
npm run build # tsc — must stay clean