feat(linkedin-studio): de-niche rest-sweep — vary KTG-beat examples across surfaces (B-S2b) [skip-docs]

The last de-niche slice: recast the 10 sites where the vendor/sector beat
(Microsoft|Azure|Copilot|public sector) sat as the PRIVILEGED/default example,
varying each to a concrete cross-domain example instead of sterilizing
(plugin-is-domain-general — domain comes from user config, never hardcoded).

Recast (10): url-processing-templates (news worked-example Copilot->Figma),
opportunity-generation (3 headline examples + About block -> varied/ops persona),
profile (3 "good example" headlines/impact -> healthcare/e-commerce/support),
first-comment-strategy (drop "Microsoft" from research-paper example),
poll-strategy-guide (Copilot option -> generic AI assistants),
engagement-frameworks (1 of 3 direct-address audiences -> RevOps/SaaS),
setup (audience e.g. -> two varied examples), post (invocation e.g. -> SaaS pricing),
network-builder (tagline example -> ops/manufacturing),
video-scripter (2 filename slugs -> neutral topics).

Kept as false positives (would sterilize): content-angles.md (Public Sector is
1 of 6 balanced industry tables + Industry-Agnostic section), outreach.md
(Microsoft Build/Ignite/Azure UG = 3 of ~20 varied real conferences),
linkedin-growth-playbook (biographical fact in a real case study), the
Gemini/Tavily/Perplexity MCP tool-name examples, and the algorithm-signals
"Gemini provenance" SSOT citation. AI-as-topic kept (not a niche token; the
de-AI/AI-slop mechanic is the plugin's legit subject).

Gate scripts/test-runner.sh 87/0/0 (no lint touches these files yet; §17-guard
extension to content-planner is the deferred next step). 10 files, 26/26.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RBMKqPSVbvSZHtQ4heM1UY

agents/network-builder.md

@@ -687,7 +687,7 @@ Profile networking signals:
 
 Headline:
   Include: What you do + Who you help + Signal (e.g., "Open to collabs")
-  Example: "AI Advisor @ [org] | Helping public sector adopt AI | Speaker & Writer"
+  Example: "Ops Lead @ [org] | Helping manufacturers cut downtime | Speaker & Writer"
 
 About section:
   Last paragraph should include:

agents/video-scripter.md

@@ -214,8 +214,8 @@ Naming convention:
   video-[YYYY-MM-DD]-[slug]-[type]-[length].md
 
 Examples:
-  video-2026-01-30-ai-implementation-talking-head-90s.md
-  video-2026-01-30-copilot-demo-screen-recording-60s.md
+  video-2026-01-30-onboarding-walkthrough-talking-head-90s.md
+  video-2026-01-30-dashboard-demo-screen-recording-60s.md
 ```
 
 Update state in `~/.claude/linkedin-studio.local.md`:

commands/post.md

@@ -43,7 +43,7 @@ Check for existing assets:
 
 ## Step 1: Understand the Input
 
-If the user already provided a clear topic with the command invocation (e.g., `/linkedin:post about AI governance in public sector`), skip asking and proceed directly. Only ask if the input is missing or genuinely vague.
+If the user already provided a clear topic with the command invocation (e.g., `/linkedin:post about pricing strategy for B2B SaaS`), skip asking and proceed directly. Only ask if the input is missing or genuinely vague.
 
 Identify the type of raw material:
 

commands/profile.md

@@ -56,7 +56,7 @@ search. Optimize for both.
 in every search result and connection suggestion, and renders under your name
 across the site — so it does the most SEO work per character. Lead with the plain
 words people actually search (the role, the domain, the audience), not a clever
-tagline. "AI Advisor · public-sector AI governance · Microsoft Copilot" is more
+tagline. "Data Engineer · healthcare analytics · HIPAA-compliant pipelines" is more
 findable than "Turning chaos into clarity ✨".
 
 **Per-section keyword targets** (place the terms a searcher would type, in the
@@ -95,7 +95,7 @@ Guide the user through each section using AskUserQuestion for interactive feedba
 - [ ] No jargon or vague titles
 
 **Strong example:**
-"Helping public sector leaders implement AI that actually works | AI Advisor @ [Company]"
+"Helping e-commerce teams turn returns data into retention | Retention Strategist @ [Company]"
 
 **Weak example:**
 "Digital Transformation Expert | Thought Leader | Speaker"
@@ -134,7 +134,7 @@ Guide the user through each section using AskUserQuestion for interactive feedba
 **Transform each role with impact statements, not task lists.**
 
 **Bad:** "Responsible for AI initiatives"
-**Good:** "Deployed first Copilot Studio agent handling 40% of internal inquiries"
+**Good:** "Cut customer-support response time 40% by automating tier-1 triage"
 
 **Ask the user:** Describe your current role's key achievements with numbers/impact.
 

commands/setup.md

@@ -314,7 +314,7 @@ Guide through each section of the profile:
    - "These should be topics you can consistently create content about for 90+ days"
 
 3. **Target audience:**
-   - "Who is your primary audience? (e.g., 'Public sector leaders exploring AI')"
+   - "Who is your primary audience? (e.g., 'CFOs at mid-size SaaS companies' or 'public-sector IT leaders')"
    - "Secondary audience?"
    - "Geographic focus?"
 

references/engagement-frameworks.md

@@ -64,7 +64,7 @@ Pattern: Set a scene that resonates
 
 **10. The Direct Address**
 Pattern: Speak directly to a specific audience
-- "If you're an AI leader in the public sector, we need to talk."
+- "If you run RevOps at a B2B SaaS company, we need to talk."
 - "To everyone implementing AI right now: Pause and read this."
 - "Fellow AI advisors: Are we being honest about timelines?"
 

references/first-comment-strategy.md

@@ -43,7 +43,7 @@ Key takeaway: [1-sentence summary of why it's worth clicking]
 
 **Example:**
 ```
-Here's the Microsoft research paper I mentioned:
+Here's the research paper I mentioned:
 [URL]
 
 Key takeaway: They found that AI assistants improve developer productivity by 26% — but only when the developer already understands the fundamentals.

references/opportunity-generation.md

@@ -66,9 +66,9 @@ Your profile is your landing page. Optimize for the opportunities you want.
 **Structure:** [Identity] + [Value Proposition] + [Social Proof or Specificity]
 
 **Examples:**
-- "AI Implementation Advisor | Helping public sector leaders deploy AI without the hype | 50+ projects delivered"
-- "Low-Code AI Architect | Building practical AI solutions | Former Microsoft, now independent"
-- "AI Strategy Consultant | Translating AI hype into business value | Speaker, Author"
+- "Supply-Chain Analytics Lead | Helping retailers cut stockouts without bloating inventory | 50+ rollouts delivered"
+- "Cloud Cost Architect | Building practical FinOps for scale-ups | Former Stripe, now independent"
+- "B2B Growth Consultant | Translating marketing spend into qualified pipeline | Speaker, Author"
 
 **What to include:**
 - What you do (clearly)
@@ -105,21 +105,21 @@ Your profile is your landing page. Optimize for the opportunities you want.
 
 **Example section:**
 ```
-I help public sector leaders implement AI that actually works.
+I help operations leaders turn messy processes into measurable results.
 
-After leading AI projects at [Organization] for 5 years, I saw the same pattern:
-organizations spending millions on AI that never delivered value. Now I help
+After leading improvement projects at [Organization] for 5 years, I saw the same pattern:
+organizations spending heavily on tools that never delivered value. Now I help
 leaders avoid those expensive mistakes.
 
 What I do:
-→ AI strategy development for public sector organizations
+→ Process and workflow strategy for operations teams
 → Vendor-neutral technology advisory
 → Implementation oversight and quality assurance
 
 Who I help:
-→ C-suite executives evaluating AI investments
-→ Department heads responsible for AI projects
-→ IT leaders managing AI implementations
+→ C-suite executives evaluating major investments
+→ Department heads responsible for transformation projects
+→ Team leaders managing rollouts
 
 Track record:
 → 50+ AI projects delivered

references/poll-strategy-guide.md

@@ -84,7 +84,7 @@ Hot take: Most "AI strategies" are just PowerPoint decks.
 ```
 If you could only invest in ONE AI capability this year:
 
-○ Copilot for productivity
+○ Off-the-shelf AI assistants
 ○ Custom AI agents
 ○ Data platform modernization
 ○ AI literacy training for all staff

references/url-processing-templates.md

@@ -37,22 +37,22 @@ Comment #1: [Link to original article]
 
 **Example transformation:**
 
-Source: "Microsoft announces new Copilot pricing tiers"
+Source: "Figma announces new pricing tiers"
 
 ```
-The new Copilot pricing isn't about the money. It's about strategy.
+The new Figma pricing isn't about the money. It's about strategy.
 
-Microsoft just restructured their Copilot licensing. Most headlines focus on the $30/user price point.
+Figma just restructured its licensing. Most headlines focus on the per-seat price point.
 
 Here's what they're missing:
 
-The real story is differentiation. By splitting Copilot into tiers, Microsoft is:
+The real story is differentiation. By splitting its plans into tiers, Figma is:
 
 1. Creating an upgrade path (land and expand)
 2. Protecting high-margin enterprise deals
 3. Addressing the "too expensive for testing" problem
 
-For organizations evaluating Copilot, this changes the conversation from "can we afford it?" to "which tier makes sense?"
+For organizations evaluating Figma, this changes the conversation from "can we afford it?" to "which tier makes sense?"
 
 My prediction: Expect competitors to follow with similar tiered models within 6 months.