fix(linkedin-studio): S29b terminology-scrub — "thought leadership" → neutral (agents/)

Second sub-pass of the S29 plugin-wide terminology scrub: the banned brand phrase
"thought leadership" (FORM A) removed from the agent surface. 17 edits across 6 agents
(strategy-advisor, content-planner, voice-trainer, network-builder, differentiation-checker,
trend-spotter). Vocabulary consistent with S29a: "thought leadership angle(s)" → "content
angle(s)"; "thought leadership" (positioning/practice) → "authority …"; the whole "Value Test"
family → "Authority Value Test".

15 in-file phrase occurrences (space-grep) + 2 abbreviated "TL Value Test" instances found
during the header anchor-check (trend-spotter:192/:257, TL = Thought Leadership) — surfaced as
an addendum and operator-approved before edit, scope not expanded silently. The
differentiation-checker:47 web-search query thought leadership → expert insights
(functional-keyword judgment-call, operator option b).

Scope (operator-locked, inherits S29a): FORM A only. FORM B ("thought leader(s)" as role,
agents = 2) untouched. The 11 thought-leadership-angles.md filename pointers deferred to S29e.

Verify: FORM A in agents/ = NONE; abbreviated TL = NONE; FORM B unchanged (2); filename
pointers unchanged (11); diff 6 files 1:1; gate 81/0/0; counts 29/19/26/6 + v0.5.0 unchanged.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016qgzo6rxthw7KuxHjn5vyE

agents/content-planner.md

@@ -21,7 +21,7 @@ tools: ["Read", "Glob", "Write", "AskUserQuestion", "WebSearch"]
 
 # Content Planner Agent
 
-You are a LinkedIn content planning specialist. You create strategic content plans that balance topic pillars, content types, and posting frequency for sustainable thought leadership growth.
+You are a LinkedIn content planning specialist. You create strategic content plans that balance topic pillars, content types, and posting frequency for sustainable authority building.
 
 ## Step 0: Load Context
 

agents/differentiation-checker.md

@@ -44,7 +44,7 @@ Before searching, identify:
 
 1. **Direct topic:** `site:linkedin.com "[key phrase from thesis]"`
 2. **Competing angle:** `"[topic]" AND "[angle keyword]" site:linkedin.com`
-3. **Broad topic:** `"[topic]" thought leadership 2025 2026`
+3. **Broad topic:** `"[topic]" expert insights 2025 2026`
 4. **Contrarian:** `"[topic]" "actually" OR "wrong" OR "myth"`
 5. **Expert:** `"[topic]" expert opinion LinkedIn`
 
@@ -144,7 +144,7 @@ Rate each as present (P), partially present (PP), or absent (A):
 1. Echo chamber -- repeats what everyone says
 2. Humble brag -- disguised self-promotion
 3. Vague wisdom -- platitudes without specifics
-4. Pure promotion -- marketing as thought leadership
+4. Pure promotion -- marketing posing as expertise
 5. Borrowed authority -- citing without adding perspective
 6. Generic listicle -- numbered list, no unique framing
 7. Tired take -- exhausted arguments ("AI will replace [job]")
@@ -200,7 +200,7 @@ Combine 2-3 of the 8 Universal Angles:
 - **Reverse causation:** "We think X causes Y. What if Y causes X?"
 - **Zoom out/in:** Switch between big-picture and meeting-room perspective.
 
-## Thought Leadership Value Test
+## Authority Value Test
 
 Every piece must pass at least **two of three:**
 
@@ -324,6 +324,6 @@ content-planner --> [draft] --> differentiation-checker --> content-optimizer --
 ## References
 
 Read these files for detailed methodology:
-- `${CLAUDE_PLUGIN_ROOT}/references/thought-leadership-angles.md` -- 8 Universal Angles, combinations, red flags, thought leadership test
+- `${CLAUDE_PLUGIN_ROOT}/references/thought-leadership-angles.md` -- 8 Universal Angles, combinations, red flags, authority value test
 - `${CLAUDE_PLUGIN_ROOT}/references/ai-content-framework.md` -- AI content anti-patterns, differentiation checklist, relevance filter
 - `${CLAUDE_PLUGIN_ROOT}/references/engagement-frameworks.md` -- hook types, contrarian opening patterns, story structures

agents/network-builder.md

@@ -23,7 +23,7 @@ tools: ["Read", "Glob", "WebSearch", "Write", "AskUserQuestion"]
 
 # Network Builder Agent
 
-You are a LinkedIn strategic networking specialist. You help the user build meaningful connections that compound their thought leadership reach and influence through systematic engagement, outreach, and relationship management.
+You are a LinkedIn strategic networking specialist. You help the user build meaningful connections that compound their authority, reach, and influence through systematic engagement, outreach, and relationship management.
 
 ## Step 0: Load Context
 

agents/strategy-advisor.md

@@ -216,7 +216,7 @@ Based on their responses (or auto-detected from `follower_count`), place them in
 - Inbound opportunities starting
 - Content machine running
 
-**Primary focus:** Thought leadership and cross-platform visibility
+**Primary focus:** Authority building and cross-platform visibility
 
 ### Phase 5: Scale (10K+ followers)
 **Characteristics:**

agents/trend-spotter.md

@@ -2,7 +2,7 @@
 name: trend-spotter
 description: |
   Scan trending topics in AI, Microsoft, and public sector. Score relevance against content pillars,
-  suggest thought leadership angles, assess first-mover timing, and generate weekly trend digests
+  suggest content angles, assess first-mover timing, and generate weekly trend digests
   with opportunity scores.
 
   Use when the user asks:
@@ -21,7 +21,7 @@ tools: ["Read", "WebSearch", "Glob"]
 
 # Trend Spotter Agent
 
-You are a LinkedIn trend intelligence agent specialized in identifying timely content opportunities at the intersection of AI, Microsoft technology, and public sector digitalization. You help creators catch waves early enough to establish thought leadership positioning.
+You are a LinkedIn trend intelligence agent specialized in identifying timely content opportunities at the intersection of AI, Microsoft technology, and public sector digitalization. You help creators catch waves early enough to establish authority positioning.
 
 ## Your Mission
 
@@ -30,7 +30,7 @@ Find the right trends at the right time with the right angle. Specifically:
 1. **Scan** high-signal sources for emerging topics
 2. **Score** each trend against the creator's content pillars and audience
 3. **Assess** timing -- is this early enough for first-mover advantage?
-4. **Recommend** the strongest thought leadership angle per trend
+4. **Recommend** the strongest content angle per trend
 5. **Deliver** a prioritized digest with clear opportunity scores
 
 ## Dependencies
@@ -153,7 +153,7 @@ Before recommending a trend, verify:
 
 ## Angle Recommendation Engine
 
-For each trend scoring 4.0+, map to the strongest thought leadership angle.
+For each trend scoring 4.0+, map to the strongest content angle.
 
 ### The 8 Universal Angles Applied to Trends
 
@@ -176,7 +176,7 @@ For each trend, ask:
 2. **Can I connect it to another trend?** If yes, Pattern Recognition for authority
 3. **Do I have direct experience?** If yes, Personal Lesson for credibility
 4. **Is it complex/jargon-heavy?** If yes, Practical Breakdown for value
-5. **Can I predict what happens next?** If yes, Future Implication for thought leadership
+5. **Can I predict what happens next?** If yes, Future Implication for authority positioning
 6. **Is there a hard truth nobody is saying?** If yes, Uncomfortable Truth for boldness
 
 ### Angle Combinations (Most Powerful)
@@ -189,7 +189,7 @@ Recommend combining 2 angles when possible:
 - **Tech releases:** Personal Lesson + Practical Breakdown
 - **Failures/setbacks:** Human Story + Uncomfortable Truth
 
-### TL Value Test (Gate Before Recommending)
+### Authority Value Test (Gate Before Recommending)
 
 Every recommended angle must pass at least 3 of 5 tests:
 
@@ -254,7 +254,7 @@ Search 6: "[AI debate OR controversy OR opinion] LinkedIn [this week]"
 
 - For each trend scoring 4.0+, recommend primary angle
 - Suggest angle combination where applicable
-- Run TL Value Test on each recommendation
+- Run Authority Value Test on each recommendation
 - Discard angles that fail the test
 
 **Step 5: Compile digest**
@@ -331,7 +331,7 @@ Search 6: "[AI debate OR controversy OR opinion] LinkedIn [this week]"
 
 1. **First-mover beats best analysis.** A good post published early outperforms a perfect post published late. Prioritize speed for high-scoring trends.
 
-2. **Your angle is the differentiator.** The news is the same for everyone. Your perspective, experience, and framing are what create thought leadership value.
+2. **Your angle is the differentiator.** The news is the same for everyone. Your perspective, experience, and framing are what create authority value.
 
 3. **Audience fit over virality.** A trend your specific audience cares about at score 6.0 beats a viral topic at score 4.0. Relevance compounds; virality fades.
 
@@ -341,7 +341,7 @@ Search 6: "[AI debate OR controversy OR opinion] LinkedIn [this week]"
 
 6. **Combine angles for power.** Single-angle posts are solid. Two-angle posts are memorable. Recommend combinations wherever the material supports it.
 
-7. **Always answer "So what?"** A trend is just information. The interpretation -- what it means for the audience's work, decisions, or future -- is the thought leadership.
+7. **Always answer "So what?"** A trend is just information. The interpretation -- what it means for the audience's work, decisions, or future -- is the expertise.
 
 ## Anti-Patterns
 

agents/voice-trainer.md

@@ -21,7 +21,7 @@ tools: ["Read", "Glob", "Write"]
 
 # Voice Trainer Agent
 
-You are a linguistic analyst specializing in personal writing voice for LinkedIn thought leadership. You study writing samples with forensic precision to extract the patterns that make someone's writing uniquely theirs.
+You are a linguistic analyst specializing in personal writing voice for LinkedIn authority building. You study writing samples with forensic precision to extract the patterns that make someone's writing uniquely theirs.
 
 ## Your Mission