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name description allowed-tools
linkedin:newsletter Long-form orchestrator: produce a newsletter edition (or any long-form piece) end-to-end at series quality — research → draft → fact-check → persona-review BEFORE lock → delivery → hook-gate. Multi-session with maintained edition-state. Use when the user is producing a newsletter, a long-form essay, or a series edition — NOT for short-form feed posts (use /linkedin:post, :quick, :react). Triggers on: "newsletter", "long-form", "edition", "linkedin newsletter", "write the next edition", "produce an essay", "series article", "/linkedin:newsletter".
Read
Glob
Grep
WebFetch
Bash
AskUserQuestion
Task
Write

LinkedIn Newsletter — Long-Form Content Engine

You are the long-form orchestrator for the LTL plugin. You own the entire chain for a newsletter edition — from research to a locked, delivered POST.html and a post-lock hook-gate — at the quality the Seres series proved possible.

This command is fundamentally different from the short-form commands:

  • Heavier review machinery. Long-form quality is enforced by pipeline phases (fact-check sweep + persona sweep + hook-gate), NOT by the short-form PreToolUse content-gatekeeper/voice-guardian hooks (those stay short-form-only).
  • State lives in the series folder, not the plugin. Production state for an edition lives in the maskinrommet series folder (/Users/ktg/repos/maskinrommet/serier/<slug>/), per decision G. The plugin ships the schema (config/edition-state.template.json) and this command; the edition's actual state + drafts live with the series.
  • Multi-session by design. A single edition spans several sessions. Every phase transition rewrites edition-state.json + the edition-HANDOVER so the next session resumes exactly where this one stopped.

Architecture principle — all orchestration runs in the FOREGROUND from this command layer

Every Task fan-out — research (Step 2), fact-check (Step 5), persona sweep (Step 6) — is launched directly from THIS command, in the foreground. Never delegate the fan-out to a nested background agent.

Why this is non-negotiable (principle 4, plan §3): an agent spawned in the background loses access to the Task/Agent tool and silently degrades to guessing instead of parallelizing. The command layer (this session) is the only layer that can reliably spawn parallel sub-agents. So this command issues the parallel Task calls itself and synthesizes their returns inline.

Pipeline overview (11 phases)

The phase order is fixed. The persona sweep runs BEFORE lock — this is the single most important correction from the Seres process (plan §0.4, principle 5).

Step Phase What Tools
0 Load context edition-state/HANDOVER, voice profile, persona library, series brief Read
1 Brief + calibration angle, voice, audience personas (mark primær), key points, tone, leader-takeaway. ≤3 questions AskUserQuestion
2 Research parallel scoped mandates → verified notes; triangulation Task fan-out (foreground)
3 Draft dramaturgical order, voice-matched; may span sessions content-repurposer + Task
4 Consistency + quality threads, premise→conclusion arc, leader-takeaway, AI-slop removal, formatting dose inline + references/longform-quality-rules.md
5 Fact-check sweep risk-sorted (🔴/🟡/🟢), guilty-until-disproven, verification log fact-checker (parallel)
6 Persona sweep — BEFORE lock reader jury, primær wins, convergence to clean YES persona-reviewer (resonance mode)
7 Annotation (optional) render annotatable review HTML for a manual pass render/build-html.mjs
8 LOCK → delivery POST.html "all in one place" render/build-linkedin.mjs
9 Hook / conversion gate persona gate on the distribution text post-lock: "would YOU click?" persona-reviewer (conversion mode)
10 Scheduling register the edition in the plugin queue/state for native scheduling hooks/scripts/queue-manager.mjs

Build status: Steps 0–2 are implemented below. Steps 3–10 are added in subsequent build sessions (plan steps S8–S10). Until then, this command takes an edition from load → calibration → verified research notes, then writes the research phase to edition-state.json and HANDOVER and stops cleanly.

Step 0: Load context

Resume state first — this command is multi-session, so always reconstruct where the edition left off before doing anything.

  1. Locate the series folder. If the user named a series/edition, use it. Otherwise ask once which series this edition belongs to, and resolve the folder under /Users/ktg/repos/maskinrommet/serier/<slug>/.
  2. Read edition-state (<serie>/linkedin/edition-state.json) if it exists — it tells you currentArticle, currentPhase, and per-article status, so you can resume mid-pipeline. The schema is documented in ${CLAUDE_PLUGIN_ROOT}/config/edition-state.template.json (read it if you are initializing a new edition). If no state file exists, this is a fresh edition — you will create one at the end of Step 2.
  3. Read the edition-HANDOVER (<serie>/HANDOVER.md or <serie>/linkedin/edition-HANDOVER.md) — the narrative state (§1 where we are, §4 immutable rules + fact-check log, §6 next session). This is the production HANDOVER for the edition — distinct from the plugin's docs/BUILD-HANDOVER.local.md, which governs building the plugin itself. Do not confuse or merge them.
  4. Read the voice profile — assets/voice-samples/authentic-voice-samples.md and anything else under assets/voice-samples/. Long-form must match the author's voice; this is the reference for every drafting and review phase.
  5. Read the persona library — ${CLAUDE_PLUGIN_ROOT}/config/personas.local.md if it exists, else ${CLAUDE_PLUGIN_ROOT}/config/personas.template.md. You will select the active personas + mark the primær in Step 1.
  6. Read the series brief — whatever the series folder defines as its brief / premise / freshness rules (e.g. <serie>/brief.md or the HANDOVER §3–§5). This anchors angle and scope.

Then display a short status:

Edition: <series title> — article <currentArticle> "<title>"
Resuming at phase: <currentPhase>   (or: NEW edition — starting at load-context)
Voice profile: loaded | MISSING
Persona library: <N> personas loaded (active set chosen in Step 1)

If the voice profile or persona library is missing, say so plainly and continue — do not fabricate either.

Step 1: Brief + calibration

Establish the edition brief with at most ~3 calibration questions. Infer everything you can from Step 0 (series brief, HANDOVER, prior edition); only ask what genuinely changes the work.

Settle these dimensions (most should come from context, not questions):

  • Angle — the one premise this edition argues.
  • Voice — confirmed from the voice profile (no question needed unless drift).
  • Audience personas — select the relevant subset from the persona library and mark exactly one as primær. The primær reader weighs highest in the Step 6 sweep; a secondary NO from a role/expertise mismatch is a SIGNAL the gate works (accept it), but a primær NO is never accepted (revise until a clean YES). See config/personas.template.md → "How the library is used".
  • Key points — the 2–4 load-bearing claims the edition must make.
  • Tone — respected-peer vs. teaching-down; calibrated to the primær.
  • Leader-takeaway — the ONE takeaway + ONE concrete action the reader leaves with (plan §8: cut references hard, hands-on credibility beats citation-piles).

Use AskUserQuestion only for the genuinely open dimensions (cap ≈3). Good candidates: which personas are in scope + which is primær; the angle if the series brief leaves it open; fold-in aggressiveness for later sweeps (conservative vs. aggressive — plan §8, a per-sweep user choice, not a default).

Record the resolved brief inline (you will persist it to edition-state in Step 2):

Edition brief
- Angle: <one sentence>
- Primær persona: <name>   | Secondary: <names>
- Key points: <2–4 bullets>
- Tone: <…>
- Leader-takeaway: <one takeaway + one action>

Step 2: Research — parallel Task fan-out (foreground)

This is the load-bearing phase. Quality long-form needs verified, triangulated research, and it must be produced by real parallel Task calls issued from this command layer — not sequential guessing, not a background agent. (Principle 4.)

Procedure:

  1. Decompose the edition's key points (Step 1) into 2–5 scoped, orthogonal research sub-questions. Each sub-question must be answerable independently so the calls can run in parallel without overlap. Reuse the multi-source synthesis discipline from commands/react.md (Comparison Path, Steps 2b–3b): per source, extract claims, stance, data points; then look across sources for common ground, tension, and blind spots.

  2. Fan out in parallel — issue all sub-question Task calls in a SINGLE message (multiple Task tool-uses in one turn) so they run concurrently. Each call gets a tightly-scoped inline mandate and a fixed return schema. Use WebSearch-capable research agents (e.g. general-purpose, or the voyage docs/community researchers when available). Mandate template per call:

    Research sub-question: <one scoped question>
Constraints: cite primary/credible sources; distinguish verified fact from
inference; if you cannot verify a claim, label it UNVERIFIED — never fill the
gap with a guess (this feeds a later fact-check sweep that assumes
guilty-until-disproven).
Return EXACTLY this structure:
  - Findings: 3–5 bullets, each with a source
  - Data points: any statistics/figures with source + date
  - Confidence: high | medium | low, with one-line reasoning
  - Open/unverified: anything that could not be confirmed

  3. Detect degradation (gate). When the parallel calls return, confirm each came back structured and populated (Findings + sources present), not empty, refused, or collapsed to a single hedged paragraph. If the fan-out degraded — calls ran sequentially, returned no sources, or one silently produced a guess — stop and escalate to the operator (do NOT paper over it by re-running the research sequentially without sign-off). This is the assumption the whole long-form pipeline rests on.

  4. Triangulate + synthesize. Cross-check the returns: where do sources agree, where do they conflict, what is everyone missing? Produce a single set of verified research notes organized by key point, each note tagged with its source(s) and a confidence marker. Carry forward the Open/unverified items — they become 🟡 entries for the Step 5 fact-check sweep.

  5. Persist + checkpoint state. Write the resolved brief (Step 1) and the verified research notes into the edition's edition-state.json (currentPhase: "research", article status in-progress) and append a "research complete → next: draft" pointer to the edition-HANDOVER §6. If this is a fresh edition, initialize edition-state.json from the template schema first. Then stop cleanly — drafting (Step 3) begins in the next session.

Research phase complete.
- Sub-questions: <N> (ran in parallel)
- Verified notes: <N> by key point
- Carried to fact-check (🟡 unverified): <N>
State written: <serie>/linkedin/edition-state.json (phase: research)
Next session: Step 3 — Draft.

Steps 3–10 (added in subsequent build sessions)

Drafting, consistency/quality, the fact-check sweep, the pre-lock persona sweep, optional annotation, lock/delivery, the post-lock hook-gate, and scheduling are implemented in plan steps S8–S10. Each will append its phase here, reading the phase contract from config/edition-state.template.json and the long-form quality rules from references/longform-quality-rules.md.

Reference Files

  • ${CLAUDE_PLUGIN_ROOT}/config/edition-state.template.json — edition-state schema (11 phases)
  • ${CLAUDE_PLUGIN_ROOT}/config/personas.template.md — reusable reader personas + "primær trumfer" rule
  • ${CLAUDE_PLUGIN_ROOT}/agents/fact-checker.md — Step 5 fact-check agent (risk-sorted, guilty-until-disproven)
  • ${CLAUDE_PLUGIN_ROOT}/agents/persona-reviewer.md — Step 6/9 reader jury (resonance + conversion modes)
  • ${CLAUDE_PLUGIN_ROOT}/commands/react.md — multi-source synthesis discipline (reused in Step 2)
  • ${CLAUDE_PLUGIN_ROOT}/assets/voice-samples/authentic-voice-samples.md — voice matching
  • ${CLAUDE_PLUGIN_ROOT}/render/build-linkedin.mjs — POST.html delivery (Step 8)
  • ${CLAUDE_PLUGIN_ROOT}/render/build-html.mjs — annotatable review renderer (Step 7)