Add bucket prefix to skill display titles

Slugs were already prefixed (general-/people-/process-/tech-) but the
human-readable H1 titles in SKILL.md and README.md were not.
Updated all 30 titles to format: "<Bucket> — <Title>" using em dash.

Examples:
  AI Idea Diagnostic            -> General — AI Idea Diagnostic
  Pilot Design                  -> Process — AI Pilot Design
  Agent Guardrail (IMDA)        -> Tech — Agentic AI Governance Check (IMDA)
  Workforce Literacy Curriculum -> People — Workforce AI Literacy Curriculum

Author: Ray Han

skills/general-idea-diagnostic/README.md

@@ -1,4 +1,4 @@
-# AI Idea Diagnostic
+# General — AI Idea Diagnostic
 
 A five-role concept gate for AI ideas — before any pilot design or investment decision.
 

skills/general-idea-diagnostic/SKILL.md

@@ -3,7 +3,7 @@ name: general-idea-diagnostic
 description: Use when evaluating an AI idea, AI concept, or early-stage AI proposal — before any pilot design or investment decision. Phrases like "should we pursue this AI idea?", "is this AI concept worth exploring?", "does this AI use case make sense?", "we're thinking about building AI for X — is it a good idea?" all trigger this skill. Diagnoses using a five-role framework — Investigator (real friction), Devil's Advocate (right solution mode), Long-term Strategist (value accumulates), Realist (right capability), Senior Advisor (synthesis verdict). Outputs Fund / Fund-with-condition / Reframe / Kill.
 ---
 
-# AI Idea Diagnostic
+# General — AI Idea Diagnostic
 
 Diagnose an AI idea at concept stage — before pilot design, before investment, before any build decision. Five sequential roles. Maintain all prior reasoning as state — each role builds on the previous.
 

skills/general-maturity-assessment/README.md

@@ -1,4 +1,4 @@
-# AI Maturity Assessment
+# General — AI Maturity Assessment
 
 A four-part organizational AI maturity assessment using MIT CISR's four-stage model and Accenture's Foundation × Differentiation 2×2. Identifies the binding constraint and outputs a stage-advancement roadmap.
 

skills/general-maturity-assessment/SKILL.md

@@ -3,7 +3,7 @@ name: general-maturity-assessment
 description: Use when plotting an organization's AI maturity stage, assessing where an org sits on the AI capability curve, benchmarking AI progress against industry peers, setting AI strategy ambition level, or preparing a board-level AI readiness briefing. Phrases like "where are we on the AI maturity curve?", "assess our AI maturity", "benchmark our AI progress", "what stage are we at for AI?", "help me understand how mature our AI capabilities are", "prepare a board briefing on our AI readiness" all trigger this skill. Runs MIT CISR's four-stage model alongside Accenture's Foundation × Differentiation 2×2, surfaces the binding constraint (platform gap vs. strategy gap), and outputs a maturity placement with a prioritized roadmap to the next stage.
 ---
 
-# AI Maturity Assessment
+# General — AI Maturity Assessment
 
 Plot the organization on the AI maturity curve. Identify the binding constraint. Build the roadmap to the next stage.
 

skills/general-peer-cases/README.md

@@ -1,4 +1,4 @@
-# Peer Case Library
+# General — Peer Case Library
 
 Retrieves named peer cases matched on archetype/vertical/size, then names the closest analog and what to copy or change.
 

skills/general-peer-cases/SKILL.md

@@ -3,7 +3,7 @@ name: general-peer-cases
 description: Use when a leader asks for named peer cases, comparable deployments, or analog stories before making a selection or build decision. Phrases like "how have others done this?", "show me cases from similar orgs", "what peer examples exist for this use case?", "I want to learn from others' experiences", "exchange best practices on AI deployment", "any Stanford / named case studies on this?" all trigger this skill. Retrieves 3-5 named peer cases matched on vertical / org-size / use-case archetype, extracts cross-case patterns against the 95/5 base rate, and outputs a curated case bundle plus a closest-match action recommendation.
 ---
 
-# Peer Case Library
+# General — Peer Case Library
 
 Surface relevant named peer cases for the asker's situation. Output what worked, what failed, what they would do differently — and which single case is the closest analog.
 

skills/general-roi-gate/README.md

@@ -1,4 +1,4 @@
-# ROI Gate (PwC)
+# General — AI Investment ROI Gate (PwC)
 
 A three-role investment approval gate: objective-mode audit, three-channel ROI model, PwC 20-item checklist. Outputs a formal Approve / Approve-with-conditions / Return-for-revision / Reject recommendation.
 

skills/general-roi-gate/SKILL.md

@@ -3,7 +3,7 @@ name: general-roi-gate
 description: Use when approving or rejecting an AI investment proposal, greenlighting an AI program for funding, evaluating whether an AI initiative should proceed to production, or reviewing an AI business case before board or executive sign-off. Phrases like "should we fund this AI project?", "run the ROI gate on this", "is this AI investment justified?", "we're about to approve AI spending for X", "help me evaluate this AI business case" all trigger this skill. Runs PwC's 20-item Do's-and-Don'ts checklist plus a three-channel ROI model and objective-mode audit. Outputs an approval recommendation with named conditions and red flags.
 ---
 
-# AI Investment ROI Gate (PwC)
+# General — AI Investment ROI Gate (PwC)
 
 A pre-flight risk gate before greenlighting any AI investment. Runs PwC's 20-item checklist, a three-channel ROI model, and an objective-mode audit. An unanswered item is itself a red flag.
 

skills/general-use-case-discovery/README.md

@@ -1,4 +1,4 @@
-# Use-Case Discovery
+# General — Use-Case Discovery
 
 Generates, scores, and ranks AI use-case candidates through four sequential roles into a TOP-3 portfolio.
 

skills/general-use-case-discovery/SKILL.md

@@ -3,7 +3,7 @@ name: general-use-case-discovery
 description: Use when a leader cannot decide where to point AI first across a function or business unit. Phrases like "how to focus on areas where AI can be utilized", "finding a useful productive case use", "knowing what to adopt and how to use agentic", "decide among the myriad of choices", "which use case should we pilot first", all trigger this skill. Generates, scores and ranks candidate AI use cases through four sequential roles — Value-Pool Mapper, Capability Archetype Classifier, Feasibility & Moat Scorer, Portfolio Sequencer — and outputs a TOP-3 ranked portfolio with first-pilot pick, why-not-others, and kill list.
 ---
 
-# Use-Case Discovery
+# General — Use-Case Discovery
 
 Most enterprises drown in candidate ideas and pilot the wrong one. MIT's 95/5 finding shows 95% of GenAI pilots return zero P&L impact — the failure is upstream, in selection. Stanford's 51-deployment study shows winners cluster around narrow, repetitive, measurable workflows. Run the four roles below before committing budget.