BREAKING CHANGE: the marketplace slug, the agent namespace (linkedin-studio:<agent>), and the runtime state-file path (~/.claude/linkedin-studio.local.md) all change. Reinstall required; existing state migrated in place (post metrics, streak, history preserved). The /linkedin:* commands are unchanged — the command namespace is set per-command in frontmatter and was always independent of the plugin slug. Functionality is byte-identical to v2.4.0; this release is pure identity. - dir + manifests: plugins/linkedin-studio + plugin.json + root marketplace.json - agent namespace updated in commands/newsletter.md (only functional invoker) - state path updated in 4 hook scripts + topic-rotation prompt + state template - catch-all skill dir renamed skills/linkedin-studio (5 functional skills unchanged) - docs + version bump to 3.0.0 across README badge, CHANGELOG, root README/CLAUDE.md - historical records (CHANGELOG past entries, docs/ build artifacts, config-audit v5.0.0 snapshots) intentionally retain the old slug Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
164 lines
10 KiB
Markdown
164 lines
10 KiB
Markdown
# Agent Capability Matrix
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14 specialized agents for LinkedIn thought leadership. Each agent has a focused responsibility, defined model, and unique color for visual identification.
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## Quick Reference
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| Agent | Model | Color | Primary Responsibility |
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|-------|-------|-------|----------------------|
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| content-optimizer | Sonnet | Blue | Optimize posts against algorithm signals |
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| strategy-advisor | Sonnet | Green | Growth strategy and phase-specific guidance |
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| analytics-interpreter | Sonnet | Yellow | Pattern discovery + weekly/monthly performance reports (interpret/report modes) |
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| engagement-coach | Sonnet | Magenta | 5x5x5 + first-hour tactics + CEA commenting + target selection |
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| content-planner | Sonnet | Cyan | Weekly/monthly content calendars |
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| network-builder | Sonnet | Teal | Strategic networking and outreach |
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| content-repurposer | Sonnet | Purple | Format conversion and evergreen refresh |
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| trend-spotter | Sonnet | White | Trending topics and opportunity scoring |
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| voice-trainer | Sonnet | Pink | Voice profile building and drift detection |
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| differentiation-checker | Sonnet | Gray | Originality scoring and commodity detection |
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| video-scripter | Sonnet | Violet | Video script creation with pacing and visual cues |
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| post-feedback-monitor | Haiku | Lime | Post-publish 48h monitoring and real-time interventions |
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| fact-checker | Opus | Brown | Factual-claim verification against primary/credible sources (longform) |
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| persona-reviewer | Opus | Olive | Reader-persona resonance + hook-conversion gate (longform) |
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## Capability Matrix
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Capabilities mapped across agents. **P** = Primary, **S** = Secondary/Supporting.
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| Capability | optimizer | strategy | analytics | engage | planner | network | repurpose | trends | voice | diff-check | video | post-monitor | fact-check | persona-rev |
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|-----------|:---------:|:--------:|:---------:|:------:|:-------:|:-------:|:---------:|:------:|:-----:|:----------:|:-----:|:------------:|:----------:|:-----------:|
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| Post optimization | **P** | | | | | | | | | | | | | |
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| Hook analysis | **P** | | | | | | | | | | S | | | S |
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| Algorithm alignment | **P** | | | S | | | | | | | S | S | | |
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| Growth strategy | | **P** | | | S | | | | | | | | | |
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| Phase assessment | | **P** | | | | | | | | | | | | |
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| Trajectory analysis | | **P** | S | | | | | | | | | | | |
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| Audience analysis | | S | **P** | | | | | | | | | | | |
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| Pattern discovery | | | **P** | | | | | | | | | | | |
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| Performance reports | | | **P** | | | | | | | | | | | |
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| Content DNA | | | **P** | | | | | | S | | | | | |
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| Engagement coaching | | | | **P** | | S | | | | | | | | |
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| 5x5x5 method | | | | **P** | | S | | | | | | | | |
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| Comment strategy | | | | **P** | | | | | | | | | | |
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| CEA method | | | | **P** | | | | | | | | | | |
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| Target identification | | | | **P** | | S | | | | | | | | |
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| Content planning | | | | | **P** | | | S | | | | | | |
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| Mix enforcement | | | | | **P** | | | | | | | | | |
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| Gap analysis | | | | | **P** | | | | | | | | | |
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| Network building | | | | S | | **P** | | | | | | | | |
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| Connection scoring | | | | | | **P** | | | | | | | | |
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| DM templates | | | | | | **P** | | | | | | | | |
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| Format conversion | | | | | | | **P** | | | | S | | | |
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| Evergreen scoring | | | | | | | **P** | | | | | | | |
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| Content lifecycle | | | | | S | | **P** | | | | | | | |
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| Trend scanning | | | | | S | | | **P** | | | | | | |
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| First-mover assessment | | | | | | | | **P** | | | | | | |
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| Angle mapping | | | | | S | | S | **P** | | | | | | |
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| Voice profiling | | | | | | | | | **P** | | | | | |
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| Drift detection | | | | | | | | | **P** | | | | | |
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| Quarterly audit | | | | | | | | | **P** | | | | | |
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| Originality scoring | | | | | | | | | | **P** | | | | |
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| Commodity detection | | | | | | | | | | **P** | | | | |
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| Differentiation | | | | | | | | | | **P** | | | | |
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| Video scripting | | | | | | | S | | | | **P** | | | |
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| Script pacing | | | | | | | | | | | **P** | | | |
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| Visual cue notation | | | | | | | | | | | **P** | | | |
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| Post-publish monitoring | | | | | | | | | | | | **P** | | |
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| Velocity analysis | | | | | | | | | | | | **P** | | |
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| Factual verification | | | | | | | | | | | | | **P** | |
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| Primary-source check | | | | | | | | | | | | | **P** | |
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| Persona resonance | | | | | | | | | | | | | | **P** |
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| Hook-conversion gate | | | | | | | | | | | | | | **P** |
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## Content Pipeline
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How agents collaborate in the end-to-end content lifecycle:
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```
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┌─────────────┐ ┌──────────────────┐ ┌─────────────────┐
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│ trend-spotter│───▸│ content-planner │───▸│ diff-checker │
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│ (find topics)│ │ (plan + schedule) │ │ (originality │
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└─────────────┘ └──────────────────┘ │ gate ≥51/100) │
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│ └────────┬────────┘
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│ │
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┌──────▼──────┐ ┌───────┴────────┐
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│voice-trainer│ │ FORMAT SPLIT │
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│(voice check)│ └──┬──────────┬──┘
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└──────┬──────┘ │ │
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│ ┌───────▼───┐ ┌────▼─────────┐
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│ │video- │ │content- │
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└────────────▸│scripter │ │optimizer │
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│(scripts) │ │(text posts) │
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└───────┬───┘ └──────┬───────┘
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│ │
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└─────┬──────┘
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┌────────────────────────────┤
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│ │
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┌──────▼────────────┐ ┌────────▼───────┐
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│analytics- │ │ [PUBLISH] │
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│interpreter │ └────────┬───────┘
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│(interpret/report) │ │
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└───────────────────┘ ┌────────▼───────┐
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│engagement-coach│
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│(5x5x5 + first │
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│ hour + CEA │
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│ commenting) │
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└────────────────┘
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```
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### Longform Quality Gates (newsletter)
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For longform editions, two additional Opus agents run BEFORE lock:
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```
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draft ─▸ fact-checker ─▸ persona-reviewer ─▸ LOCK ─▸ delivery
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(primary-source (resonance +
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verification) hook-conversion
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gate)
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```
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### Parallel Support Agents
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These agents operate independently and feed into the pipeline at multiple points:
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```
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strategy-advisor ──────▸ Macro-level planning and phase guidance
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analytics-interpreter ─▸ Pattern discovery + periodic reports feeding back into planning
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network-builder ───────▸ Relationship building amplifying content reach
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content-repurposer ────▸ Post-publish: extends content lifecycle
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```
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## Which Agent Do I Need?
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| Scenario | Agent | Command |
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|----------|-------|---------|
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| "I want to write a post" | content-optimizer | `/linkedin:post` |
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| "What should I post about?" | content-planner, trend-spotter | `/linkedin:pipeline` |
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| "Make this post better" | content-optimizer | `/linkedin:post` |
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| "Is this original enough?" | differentiation-checker | `/linkedin:pipeline` |
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| "Plan my week's content" | content-planner | `/linkedin:batch` |
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| "Am I on track this week?" | — | `/linkedin:calendar` |
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| "How did I do this week?" | analytics-interpreter (report mode) | `/linkedin:report` |
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| "Analyze my LinkedIn data" | analytics-interpreter (interpret mode) | `/linkedin:analyze` |
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| "What's my LinkedIn strategy?" | strategy-advisor | `/linkedin:strategy` |
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| "Help me engage more" | engagement-coach | `/linkedin:strategy` |
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| "Who should I comment on?" | engagement-coach | `/linkedin:strategy` |
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| "Build my network" | network-builder | `/linkedin:strategy` |
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| "Does this sound like me?" | voice-trainer | `/linkedin:post` |
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| "Repurpose my best post" | content-repurposer | `/linkedin:pipeline` |
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| "What's trending in my field?" | trend-spotter | `/linkedin:pipeline` |
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| "Audit my content strategy" | analytics-interpreter, strategy-advisor | `/linkedin:audit` |
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| "How do I monetize?" | strategy-advisor | `/linkedin:monetize` |
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| "Create a video script" | video-scripter | `/linkedin:video` |
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| "Turn this post into a video" | video-scripter, content-repurposer | `/linkedin:video` |
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| "Script a talking head video" | video-scripter | `/linkedin:video` |
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| "Verify facts in this draft" | fact-checker | `/linkedin:newsletter` (longform) |
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| "Will this land with my readers?" | persona-reviewer | `/linkedin:newsletter` (longform) |
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## Model Selection Rationale
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| Model | Agents | Why |
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|-------|--------|-----|
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| **Opus** | 2 agents (fact-checker, persona-reviewer) | Longform judgment: factual verification, reader-persona resonance |
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| **Sonnet** | 11 agents | Complex reasoning: optimization, strategy, analysis, scoring, scripting, comment targeting |
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| **Haiku** | 1 agent (post-feedback-monitor) | Lighter task: post monitoring with anomaly detection |
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