linkedin-studio/CLAUDE.md

LinkedIn Studio Plugin (v0.7.0)

Full-spectrum LinkedIn content engine — short-form feed posts, carousels, video scripts, and long-form newsletter editions — with the 2026 relevance-ranking model baked in. Maturity v0.7.0: M0 (per-user data dir ${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/, idempotent session-start migration — see references/data-path-convention.md) complete; the 29 pre-0.7.0 command surfaces all through the interactive quality-gate (docs/hardening/log.md) AND through independent cold-review (29/29, R2a–R5 — docs/hardening/review*.md); /linkedin:trends (shipped in 0.7.0) is not yet through the hardening gate. Remaining for v1.0.0: a GUI. Version history → CHANGELOG.md.

Architecture

• State file: ~/.claude/linkedin-studio.local.md (YAML frontmatter, auto-initialized from config/state-file.template.md)
• State updater: hooks/scripts/state-updater.mjs — deterministic state mutations (post tracking, streak, content history pruning). Pure functions, tested, no AI involvement
• Clipboard helper: hooks/scripts/clipboard-helper.mjs — cross-platform clipboard (macOS pbcopy, Linux xclip/xsel, WSL clip.exe). All content commands auto-copy
• iCal generator: hooks/scripts/ical-generator.mjs — RFC 5545 calendar files for batch scheduling. Standalone CLI + importable module
• Figure renderer: render/build-figur.mjs — coded data figures (SVG/HTML → PNG via headless Chrome); three targets (article/carousel/single); brand tokens from the user data dir's profile/brand-tokens.json, neutral defaults otherwise (see references/figure-design-guidelines.md). Standalone CLI + importable module
• Post queue: assets/drafts/queue.json (managed by hooks/scripts/queue-manager.mjs)
• Analytics: CLI scripts/analytics/ (TypeScript, needs tsx + npm install); data assets/analytics/ (gitignored)
• Specifics-bank: scripts/specifics-bank/ (TypeScript, needs tsx + npm install) — deterministic, topic-tagged store of the operator's lived specifics (real numbers, named cases, held opinions) in the per-user data dir; elicited/bound by /linkedin:newsletter Step 1.5 so drafts draw from real inventory, never invented filler. Consumption is logged back at Step 8 lock (record-usage → usedIn), so cross-edition re-use of the same material is visible rather than silently encouraged by the dedupe
• Series distillate: scripts/editions/ (TypeScript, needs tsx + npm install) — series-level memory: each locked edition's spent narrative units (anecdotes/arguments/hooks) in <serie>/linkedin/series-distillate.json; written at /linkedin:newsletter Step 8 (distil-append), checked against the next skeleton at Step 2.5 (distil-check, advisory). Deterministic character-trigram similarity — AI extracts, code compares
• Editions register: scripts/editions/ (same package) — one row per edition in production in the per-user data dir (editions/register.json): series, edition, path, current phase, next action, slot, startedAt/completedAt. Each of the 17 canonical /linkedin:newsletter phase transitions runs register-upsert --edition-state <path>, which appends articles.NN.phaseLog (lead-time telemetry, additive — schemaVersion stays 1) and mirrors the row in one call; Step 10 runs register-complete. register-list is the work-in-progress view. The register is a mirror — deterministic resumption reads edition-state.json only, and a lost register is rebuilt by the next transition
• Publishing slots: hooks/scripts/slots.mjs — the weekly production grid. Slots are operator config in the per-user data dir (profile/publishing-slots.json, schema + opt-in template in config/publishing-slots.template.json); absent config ⇒ every slot surface stays silent, and the plugin hardcodes no publishing times. Coverage of a slot counts the short-form queue (scheduled/published) and editions-register rows claiming that date, so long-form and short-form cannot be double-booked. Zero-dep (SessionStart may not spawn tsx) and imported identically by the hook and by the commands (queue-manager.mjs pattern), so session-start's vacancy warning and /linkedin:newsletter Step 10's slot default are the same computation
• Contract-gate: scripts/contract-gate/ (TypeScript, needs tsx + npm install) — deterministic §B/§C1 rule-gate on the full draft (/linkedin:newsletter Step 4.5, before the AI sweeps); ratifies rules.ts against the edition's §E-manifest, then gates with BLOCK/WARN
• Fold-in loop: capture → classify → promote → enforce, documented domain-generally in references/fold-in-loop.md. The four /linkedin:newsletter steps where operator judgment enters the text (2.5, 3a, 5.5, 6.5) append corrections to articles.NN.foldIns[] (decision: "pending"); Step 11 (retro) empties the queue with an explicit operator JA/NEI — mechanical → an atomic contract-gate promotion (only counts when --ratify is green), judgment → the operator's opt-in language-rules file (${DATA}/language-rules/<lang>.md, template config/language-rules.template.md), which Step 4 reads while drafting (prevent) and language-reviewer reads at Step 6.5 (catch). Rejected rows are kept, never deleted. Step 11 also reports effort from the measured phaseLog and asks one friction question whose answer goes back to the operator — the plugin never writes their register
• Analytics metrics (S16): parsed CSV columns + an optional, manually-entered saves count (count-only in native LinkedIn analytics since ~Sept 2025, no CSV export; the Marketing API exposes POST_SAVE on /memberCreatorPostAnalytics from v202604, but access is partner-gated — so manual entry remains the right UX). parseOptionalCount(): blank / non-numeric / negative → undefined (unknown, never 0), a genuine 0 is kept; saves surfaced per-post + as totalSaves, but not folded into engagementRate. dwell stays explicitly unmeasurable (internal to LinkedIn, no export/API). All analytics I/O routes through the getAnalyticsRoot() seam (M0 per-user data-dir).

Hooks

9 hooks across 7 events. All Node.js (.mjs). PreToolUse/PostToolUse hooks use parameterized content-gatekeeper.mjs with isLinkedInContent() check.

Event	Purpose
SessionStart	Load state, REMEMBER.md, milestone tracker, editions in flight + publishing-slot vacancy
PreToolUse (Write|Edit)	Content quality gate, voice guardian, topic rotation gate
Stop	State update, pre-publish reminders, content history
UserPromptSubmit	LinkedIn context enrichment (three-tier matching)
PostToolUse (Write)	Post-creation automation (5x5x5, posting time)
PreCompact	Preserve LinkedIn context during compaction
Notification	Posting reminders (rate-limited 30min)

Session markers: /tmp/linkedin-hooks/session-active (Stop hook gating, 12h staleness). Shared modules: linkedin-content-filter.mjs, queue-manager.mjs, personalization-score.mjs, state-updater.mjs, clipboard-helper.mjs, slots.mjs.

State updates: post tracking, streak, and content history are handled deterministically by state-updater.mjs (Stop hook + commands); entries older than 90 days are auto-pruned at session start.

Hook editing: edit hooks/hooks.template.json + hooks/prompts/*.md, then run python3 hooks/scripts/compile-hooks.py. Do not edit hooks.json directly. Prompts load at runtime via gatekeeper scripts; the compile step is only needed when adding type: prompt hooks.

Commands (30)

All content commands auto-copy output to clipboard via clipboard-helper.mjs; interactive steps are minimized (angle/format/post-type inferred from context, max 2 questions per post). Organized into five journeys (Start · Create · Engage · Measure · Grow): create/measure are guided creation/analytics front-doors, onboarding/strategy the Start/Grow front-doors, and the 28 atomic commands are the execution tier.

Command	Purpose
/linkedin	Router — status line + five-journey command menu
/linkedin:create	Create front-door — routes to the command owning the format (post/quick/react/carousel/video/multiplatform/batch/newsletter); delegates only
/linkedin:measure	Measure front-door — routes to the analytics command (import/report/analyze/audit/ab-test); delegates only
/linkedin:onboarding	Multi-step onboarding wizard (profile → setup → first-post); Start-journey front-door
/linkedin:first-post	First-post accelerator (10 min)
/linkedin:setup	Guided personalization setup
/linkedin:react	URL-to-post pipeline
/linkedin:post	Full post creation (10-15 min)
/linkedin:quick	5-minute quick post (3-line formula) + 8 post-type templates
/linkedin:pipeline	Full end-to-end content pipeline
/linkedin:trends	Trend discovery pass — delegates to trend-spotter (default long-form mode), persists to trend store + dated morning brief, triage per id (act/skip)
/linkedin:newsletter	Long-form orchestrator (newsletter / essay / series article) — multi-session 19-phase pipeline with gates before prose (skeleton + spine), fact-check, editorial-review (Step 5.5), persona sweep, headless adversarial review (Step 6.5), and visual-assets — all before lock; closes with the Step 11 retro that promotes this edition's corrections so the next one starts with them enforced
/linkedin:headless-review	Cold adversarial review package — 3 headless archetypes (content-reviewer, language-reviewer, fact-reviewer) + persona-reviewer on a FROZEN draft, no drafting-session context; operator-gated report (Step 6.5 standalone surface). --background runs the package in a background agent that writes the report to disk — fresh-session isolation without the paste-back seam
/linkedin:pivot	Re-open a long-form edition after a late substantive change so cleared gates re-run before lock (pivot heuristic: >20% word-count or >2 new sections)
/linkedin:batch	Create a full week of content
/linkedin:calendar	View/manage post scheduling queue + publish action
/linkedin:firsthour	Post-publish first-hour / reply-loop sprint — delegates to engagement-coach, persists the plan (recordFirstHourPlan), hands off to post-feedback-monitor
/linkedin:carousel	Structured multi-slide carousel generator
/linkedin:video	Video script generator (30s-2min)
/linkedin:multiplatform	Adapt content for other platforms (long-form → /linkedin:newsletter)
/linkedin:analyze	Content/performance analysis
/linkedin:audit	Periodic content strategy audit
/linkedin:import	Import CSV export → structured JSON (delegates analysis to /linkedin:report)
/linkedin:report	Generate weekly performance report
/linkedin:ab-test	Design and manage A/B content tests
/linkedin:strategy	Growth strategy + authority building; Grow-journey front-door
/linkedin:competitive	Competitive analysis of niche
/linkedin:monetize	Monetization strategy and funnels (unlocks at ~1K followers)
/linkedin:outreach	Outreach orchestrator — collaborations + speaking (unlocks at ~1K followers)
/linkedin:profile	Profile/topic-relevance optimization

Agents (20)

Agent	Model	Color	Responsibility
content-optimizer	Sonnet	Blue	Optimize existing posts
strategy-advisor	Sonnet	Green	Growth recommendations
analytics-interpreter	Sonnet	Yellow	Audience pattern analysis + weekly/monthly performance reports (interpret/report modes)
engagement-coach	Sonnet	Magenta	5x5x5 + first-hour tactics + CEA commenting + target selection
content-planner	Sonnet	Cyan	Content audit + weekly/monthly plans
network-builder	Sonnet	Teal	Strategic networking + outreach
content-repurposer	Sonnet	Purple	Format conversion + evergreen refresh
trend-spotter	(inherits session)	White	Trending topics + opportunity scores
demand-spotter	(inherits session)	Silver	Demand-sweep «innenfra og ut» (N7.5): reader's verbatim questions (Tier-5 sources) → pain-point map → vocabulary translation → §4 arc map with honest market verdict (supply-gap/demand-gap/saturated)
voice-trainer	Sonnet	Pink	Voice profile building + drift detection
differentiation-checker	Sonnet	Gray	Originality scoring + commodity detection
post-feedback-monitor	Opus	Lime	Post-publish 48h monitoring
video-scripter	Sonnet	Violet	Video script creation with pacing
fact-checker	Opus	Brown	Factual-claim verification against primary sources + post-cutoff web-search mandate (longform)
editorial-reviewer	Opus	Orange	Editor's craft gate (Step 5.5, before persona sweep): prosa-håndverk + narrativ-arkitektur, ≤10 flags BLOCK/REWORK/NICE, operator-gated via SendUserFile (longform)
persona-reviewer	Opus	Olive	Reader-persona gate — skeleton (before prose) + resonance (before lock) + hook-conversion (after lock), blocking hard-fail list (longform)
voice-scrubber	Opus	Red	De-AI scrub + Norwegian-chronicle voice-drift correction (longform)
content-reviewer	Opus	Maroon	Cold/headless argument-integrity review on a frozen draft (Step 6.5): logical holes, unsupported assumptions, contradiction, missing concretization, unanswered objection; ≤8 flags (longform)
language-reviewer	Opus	Navy	Cold/headless Norwegian-language review on a frozen draft (Step 6.5): repetition, anglicisms, stiff register, self-contradiction, rhythm; ≤10 flags (longform)
fact-reviewer	Opus	Gold	Cold/headless re-verification on the frozen/pivoted version (Step 6.5, web search): verifiable claims, quote precision, number attribution, source quality + pivot-risk (longform)

Rule: Always read assets/voice-samples/ before generating content.

Invocation form: commands invoke plugin agents by their namespaced type — subagent_type: linkedin-studio:<name>, never the bare <name> (a bare type does not resolve and the Task call fails).

Reload requirement: a NEW agent file under agents/ registers only after a Claude Code session reload (the plugin agent set is built at session start). Reload before invoking a freshly-added agent.

Content Quality Rules

1. Hook: 110-140 characters (mobile cutoff)
2. Post length: 1,200-1,800 chars (standard), 150-500 chars (quick)
3. No external links in post body (correlate with lower reach; see references/algorithm-signals-reference.md)
4. No corporate buzzwords: leverage, synergy, paradigm shift, thought leader, disruptive, value proposition, ecosystem, holistic approach
5. Topic must align with user's 5 core expertise areas (topic-relevance signal)
6. Topic rotation: no back-to-back same pillar, no pillar >50% in 14 days (warn-only)
7. Progressive onboarding: personalization score hidden until 3+ posts; voice guardian suppressed until 5+ voice samples