ktg-plugin-marketplace/plugins/linkedin-thought-leadership/agents/README.md

Agent Capability Matrix

16 specialized agents for LinkedIn thought leadership. Each agent has a focused responsibility, defined model, and unique color for visual identification.

Quick Reference

Agent	Model	Color	Primary Responsibility
content-optimizer	Sonnet	Blue	Optimize posts against algorithm signals
strategy-advisor	Sonnet	Green	Growth strategy and phase-specific guidance
analytics-interpreter	Sonnet	Yellow	Pattern discovery from analytics data
engagement-coach	Haiku	Magenta	5x5x5 method and engagement routines
content-planner	Sonnet	Cyan	Weekly/monthly content calendars
content-tracker	Haiku	Orange	Plan vs. published accountability
performance-reporter	Sonnet	Amber	Weekly/monthly performance reports
network-builder	Sonnet	Teal	Strategic networking and outreach
content-repurposer	Sonnet	Purple	Format conversion and evergreen refresh
comment-strategist	Sonnet	Red	CEA commenting and target selection
trend-spotter	Sonnet	White	Trending topics and opportunity scoring
voice-trainer	Sonnet	Pink	Voice profile building and drift detection
differentiation-checker	Sonnet	Gray	Originality scoring and commodity detection
video-scripter	Sonnet	Violet	Video script creation with pacing and visual cues
post-feedback-monitor	Haiku	Lime	Post-publish 48h monitoring and real-time interventions
personalization-scorer	Haiku	Indigo	Asset completeness scoring and setup recommendations

Capability Matrix

Capabilities mapped across agents. P = Primary, S = Secondary/Supporting.

Capability	optimizer	strategy	analytics	engage	planner	tracker	perf-rep	network	repurpose	comment	trends	voice	diff-check	video	post-monitor	pers-scorer
Post optimization	P
Hook analysis	P													S
Algorithm alignment	P			S										S	S
Growth strategy		P			S
Phase assessment		P
Trajectory analysis		P	S				S
Audience analysis		S	P				S
Pattern discovery			P				S
Trend analysis			S				P
Engagement coaching				P				S		S
5x5x5 method				P				S		S
Content planning					P						S
Mix enforcement					P
Gap analysis					P	S
Accountability						P	S
Plan tracking						P
Performance reports			S			S	P
Content DNA							P					S
Network building				S				P
Connection scoring								P
DM templates								P
Format conversion									P					S
Evergreen scoring									P
Content lifecycle					S				P
Comment strategy				S						P
CEA method				S						P
Target identification								S		P
Trend scanning					S						P
First-mover assessment											P
Angle mapping					S				S		P
Voice profiling												P
Drift detection												P
Quarterly audit												P
Originality scoring													P
Commodity detection													P
Differentiation													P
Video scripting									S					P
Script pacing														P
Visual cue notation														P
Post-publish monitoring															P
Velocity analysis															P
Asset completeness																P
Setup recommendations																P

Content Pipeline

How agents collaborate in the end-to-end content lifecycle:

┌─────────────┐    ┌──────────────────┐    ┌─────────────────┐
│ trend-spotter│───▸│  content-planner  │───▸│ diff-checker    │
│ (find topics)│    │ (plan + schedule) │    │ (originality    │
└─────────────┘    └──────────────────┘    │  gate ≥51/100)  │
                          │                 └────────┬────────┘
                          │                          │
                   ┌──────▼──────┐           ┌───────┴────────┐
                   │voice-trainer│           │  FORMAT SPLIT  │
                   │(voice check)│           └──┬──────────┬──┘
                   └──────┬──────┘              │          │
                          │             ┌───────▼───┐ ┌────▼─────────┐
                          │             │video-     │ │content-      │
                          └────────────▸│scripter   │ │optimizer     │
                                        │(scripts)  │ │(text posts)  │
                                        └───────┬───┘ └──────┬───────┘
                                                │            │
                                                └─────┬──────┘
                         ┌────────────────────────────┤
                         │                            │
                  ┌──────▼───────┐           ┌────────▼───────┐
                  │content-tracker│           │  [PUBLISH]     │
                  │(plan vs real) │           └────────┬───────┘
                  └──────┬───────┘                    │
                         │                    ┌───────▼────────┐
                  ┌──────▼────────────┐       │engagement-coach│
                  │performance-reporter│       │(5x5x5 + first │
                  │(weekly/monthly)    │       │ hour tactics)  │
                  └───────────────────┘       └──────┬─────────┘
                                                     │
                                              ┌──────▼─────────┐
                                              │comment-strategist
                                              │(CEA commenting) │
                                              └────────────────┘

Parallel Support Agents

These agents operate independently and feed into the pipeline at multiple points:

strategy-advisor ──────▸ Macro-level planning and phase guidance
analytics-interpreter ─▸ Pattern discovery feeding back into planning
network-builder ───────▸ Relationship building amplifying content reach
content-repurposer ────▸ Post-publish: extends content lifecycle

Which Agent Do I Need?

Scenario	Agent	Command
"I want to write a post"	content-optimizer	/linkedin:post
"What should I post about?"	content-planner, trend-spotter	/linkedin:pipeline
"Make this post better"	content-optimizer	/linkedin:post
"Is this original enough?"	differentiation-checker	/linkedin:pipeline
"Plan my week's content"	content-planner	/linkedin:batch
"Am I on track this week?"	content-tracker	/linkedin
"How did I do this week?"	performance-reporter	/linkedin:report
"Analyze my LinkedIn data"	analytics-interpreter	/linkedin:analyze
"What's my LinkedIn strategy?"	strategy-advisor	/linkedin:strategy
"Help me engage more"	engagement-coach	/linkedin:strategy
"Who should I comment on?"	comment-strategist	/linkedin:strategy
"Build my network"	network-builder	/linkedin:strategy
"Does this sound like me?"	voice-trainer	/linkedin:post
"Repurpose my best post"	content-repurposer	/linkedin:pipeline
"What's trending in my field?"	trend-spotter	/linkedin:pipeline
"Audit my content strategy"	analytics-interpreter, strategy-advisor	/linkedin:audit
"How do I monetize?"	strategy-advisor	/linkedin:monetize
"Create a video script"	video-scripter	/linkedin:video
"Turn this post into a video"	video-scripter, content-repurposer	/linkedin:video
"Script a talking head video"	video-scripter	/linkedin:video

Model Selection Rationale

Model	Agents	Why
Sonnet	12 agents	Complex reasoning: optimization, strategy, analysis, scoring, scripting
Haiku	4 agents (engagement-coach, content-tracker, post-feedback-monitor, personalization-scorer)	Lighter tasks: coaching prompts, status tracking, post monitoring, asset scoring