Update README.md

README.md

@@ -140,9 +140,7 @@ When an AI agent performs poorly, the problem is not always the model. Sometimes
 - 🧩 Apply it to the right task
 - ✅ Choose the version that actually works
 
-This problem becomes more serious as your skill library grows. 
-
-With hundreds or thousands of skills, more choices can make the right skill harder to find.
+This problem becomes more serious as your skill library grows. With **hundreds or thousands of skills**, more choices can make the right skill harder to find.
 
 Today’s agents can use skills—but they still struggle to manage them:
 - ❌ Poor retrieval — The right skill exists, but the agent fails to find it.
@@ -155,15 +153,15 @@ Agents don’t just need more skills. They need to retrieve, evaluate, manage, a
 
 ## 🎯 What is OpenSpace?
 
-**🚀 OpenSpace is a quality-first Skill Hub where real tasks teach agents which skills to trust, reuse, improve, and share.**
+OpenSpace is the **Skill Management Layer** for AI Agents—helping them find the right skills, verify what works, and evolve your agents through real-world tasks.
 
 https://github.com/user-attachments/assets/1c6b1b44-b207-491b-ad23-0f0591c17e0a
 
 OpenSpace plugs into your agent as skills.
 
-- **v1** helped agents learn, evolve, and share experience.
+- **v1** enabled agents to learn from tasks, evolve skills, and share experience.
 
-- **v2** adds the missing quality layer: every skill is judged by real task results, improved through controlled evolution, and shared with clear context — not just uploaded and forgotten.
+- **v2** introduced the missing management and quality layer—so skills are continuously evaluated, improved, and shared with evidence instead of simply being uploaded and forgotten.
 
 <div align="center">
 <img src="assets/skillwiki.png" width="760" alt="OpenSpace Skill Wiki package tree and skill search visualization">
@@ -171,29 +169,28 @@ OpenSpace plugs into your agent as skills.
 <sub>Skill Wiki turns shared skills into a searchable package tree with lineage and quality context.</sub>
 </div>
 
-OpenSpace v2 gives agents four practical abilities:
+## Four Capabilities for Managing Agent Skills
 
-### 📊 Skill Quality from Real Tasks
+OpenSpace gives agents four practical capabilities to manage the full skill lifecycle—from execution and evaluation to improvement and reuse.
 
-Stop guessing. Know which skills actually work.
+### 📊 Evaluate Skills with Real-Task Evidence
+Stop guessing which skills work. Measure them through actual outcomes.
+- ✅ Track every run — See whether a skill was selected, applied, completed, or replaced by a fallback.
+- ✅ Monitor dependencies — Flag skills when their tools become unreliable, slow, or risky.
+- ✅ Reuse with confidence — Prefer skills that consistently complete real tasks.
+- ✅ Inspect the evidence — Review actual execution records instead of trusting descriptions alone.
 
-- **✅ Task-result quality** — Every skill run is tracked: was it selected, applied, completed, or did it fall back? Over time, the pattern tells the truth.
-- **✅ Tool reliability** — When a tool fails, slows down, or becomes risky, every skill that depends on it gets flagged — automatically.
-- **✅ Quality-aware reuse** — A skill that consistently finishes real work is treated differently from one that keeps falling short. Your agent stops guessing.
-- **✅ Clear evidence** — Instead of trusting a skill's description, users can inspect what actually happened across real runs.
+**Skills earn trust by delivering results—not by looking good in a file.**
 
-**A skill earns its place by working in the real world — not by looking good in a file.**
+### 🧬 Evolve Agents with Skills
+Skills should improve through experience, without creating uncontrolled changes.
+- ✅ Evidence-driven updates — Use real task outcomes to decide what should be fixed, derived, or captured.
+- ✅ Provisional by default — Let new skills prove themselves across tasks before becoming trusted.
+- ✅ Validated releases — Check improvements before replacing a working version.
+- ✅ Independent control — Manage a skill’s trust status and availability separately.
+- ✅ Complete history — Track how and why each skill changes over time.
 
-### 🧬 Controlled Skill Evolution
-
-Agents need to improve. But improvement without control is just chaos.
-- ✅ **Evidence-driven updates** — Real task evidence decides when a skill should be fixed, derived, or captured.
-- ✅ **Provisional first** — New evolved skills remain reusable but provisional until real cross-task success promotes them to trusted.
-- ✅ **Independent trust** — Trust and availability are separate; a skill can be provisional or trusted while operators independently enable or disable it.
-- ✅ **Validated skills** — A skill is checked before a new version replaces the old one.
-- ✅ **Version history** — Users can see how a skill changed over time.
-
-**Agents should adapt to the real world, but every change needs control.**
+**Let skills adapt to the real world—while keeping every change reviewable and controlled.**
 
 ### 🌐 Local-First Skill Hub