diff --git a/.github/agents/developer.instructions.md b/.github/agents/developer.instructions.md
index 9b43ce543f..06c5a24c6e 100644
--- a/.github/agents/developer.instructions.md
+++ b/.github/agents/developer.instructions.md
@@ -725,4 +725,4 @@ For detailed specifications, see individual files in `specs/`:
 
 ---
 
-**Last Updated**: 2026-01-24
+**Last Updated**: 2026-01-28
diff --git a/specs/agents/hierarchical-agents-quickstart.md b/specs/agents/hierarchical-agents-quickstart.md
index 1f0f79bfed..6832ee97aa 100644
--- a/specs/agents/hierarchical-agents-quickstart.md
+++ b/specs/agents/hierarchical-agents-quickstart.md
@@ -146,7 +146,7 @@ graph TD
 3. Agent Performance Analyzer identifies the agent has quality issues in this workflow
 4. Result: Single coordinated issue created referencing all three perspectives
 
-**You don't need to do anything** - the coordination happens automatically through shared memory!
+**You don't need to do anything** - the coordination happens automatically through shared memory.
 
 ## Quick Actions
 
diff --git a/specs/agents/hierarchical-agents.md b/specs/agents/hierarchical-agents.md
index aa3c096a79..ad7813cc04 100644
--- a/specs/agents/hierarchical-agents.md
+++ b/specs/agents/hierarchical-agents.md
@@ -4,7 +4,7 @@ This document describes the hierarchical agent management system in GitHub Agent
 
 ## Overview
 
-The hierarchical agent system consists of specialized meta-orchestrator workflows that oversee, coordinate, and optimize the agent ecosystem. These "managerial agents" operate at a higher level than regular workflows, monitoring and managing multiple agents to ensure overall system health and effectiveness.
+The hierarchical agent system consists of specialized meta-orchestrator workflows that oversee, coordinate, and optimize the agent ecosystem. These meta-orchestrator agents operate at a higher level than regular workflows, monitoring and managing multiple agents to ensure overall system health and effectiveness.
 
 ## Meta-Orchestrator Agents
 
@@ -54,7 +54,7 @@ The hierarchical agent system consists of specialized meta-orchestrator workflow
 **Schedule:** Daily
 
 **Key Capabilities:**
-- Comprehensive health monitoring
+- System-wide health monitoring (compilation status, execution rates, error patterns)
 - Systemic issue detection
 - Dependency mapping
 - Performance optimization
@@ -193,7 +193,7 @@ Meta-orchestrators take action through safe outputs:
 
 ### Reporting
 
-Meta-orchestrators provide comprehensive reports:
+Meta-orchestrators provide detailed reports including:
 - Executive summaries for high-level overview
 - Detailed findings for investigation
 - Actionable recommendations for improvement
@@ -294,7 +294,7 @@ Meta-orchestrators provide comprehensive reports:
 
 Potential improvements to the hierarchical system:
 
-1. **Automated Remediation:** Meta-orchestrators could automatically fix simple issues
+1. **Automated Remediation:** Meta-orchestrators could automatically fix issues such as outdated dependencies, formatting violations, and broken links
 2. **Predictive Analytics:** Use ML to predict failures before they occur
 3. **Self-Optimization:** Meta-orchestrators could tune their own parameters
 4. **Cross-Repository Management:** Extend to manage agents across multiple repos
diff --git a/specs/gastown.md b/specs/gastown.md
index 655cbce7fd..a249469eb1 100644
--- a/specs/gastown.md
+++ b/specs/gastown.md
@@ -955,7 +955,7 @@ Gastown provides a mature, battle-tested architecture for multi-agent coordinati
 4. **Workflow Composition**: Support template inheritance and aspect-oriented programming
 5. **Progress Monitoring**: Real-time dashboards and health checks for multi-workflow campaigns
 
-These enhancements would position gh-aw as a comprehensive agentic workflow platform capable of both simple automation and complex multi-agent coordination, while maintaining its security-first approach and GitHub-native integration.
+These enhancements would position gh-aw as a full-featured agentic workflow platform capable of both basic automation and complex multi-agent coordination, while maintaining its security-first approach and GitHub-native integration.
 
 ---
 
diff --git a/specs/go-type-patterns.md b/specs/go-type-patterns.md
index 8cd61a7978..9673824c94 100644
--- a/specs/go-type-patterns.md
+++ b/specs/go-type-patterns.md
@@ -222,7 +222,7 @@ const SafeInputsFeatureFlag = "safe-inputs"
 **Benefits**:
 - Single source of truth for feature flag names
 - Prevents typos when checking feature flags
-- Easy to find all usages through IDE navigation
+- Supports IDE navigation to find all usages
 
 #### Tool Configuration Types
 
@@ -620,7 +620,7 @@ type CodingAgentEngine interface {
 
 **Benefits**:
 - Multiple engine implementations (Copilot, Claude, Codex)
-- Easy to add new engines
+- New engines can be added by implementing the Engine interface
 - Testable with mock implementations
 - Clear contract for engine behavior
 
@@ -818,7 +818,7 @@ func ProcessConfig(config Config) error {
 **Problem**: Primitive types don't convey meaning and enable mistakes
 
 ```go
-// ❌ BAD - Easy to mix up timeout and retry count
+// ❌ BAD - Callers may confuse timeout and retry count
 func CallAPI(url string, timeout int, retries int) error {
     // Which int is which?
     CallAPI("https://api.example.com", 3, 5)  // Wrong order!
diff --git a/specs/labels.md b/specs/labels.md
index 9c589db3f3..271c508493 100644
--- a/specs/labels.md
+++ b/specs/labels.md
@@ -125,7 +125,7 @@ Analysis of the repository (as of December 2024) shows:
 - **Issues with `plan`**: 16 (45.7%)
 - **Issues with `ai-generated`**: 16 (45.7%)
 - **Perfect overlap**: All `plan` issues also have `ai-generated`
-- **Unlabeled issues**: 0 (excellent!)
+- **Unlabeled issues**: 0 (100% labeled)
 
 ### Key Findings
 
diff --git a/specs/mdflow.md b/specs/mdflow.md
index 37caae1c56..478db0291d 100644
--- a/specs/mdflow.md
+++ b/specs/mdflow.md
@@ -227,7 +227,7 @@ gh aw run workflow.md --local --staged
 
 #### 3. **Transparent Mapping**
 - Frontmatter keys directly become CLI flags (no magic)
-- Easy to understand: `model: opus` → `--model opus`
+- Direct mapping: `model: opus` → `--model opus`
 - Debugging is straightforward: `mdflow explain task.claude.md`
 
 **Lesson for gh-aw**: Add `gh aw explain` command:
@@ -439,7 +439,7 @@ network:
 ---
 ```
 
-**Impact**: Steep learning curve for simple tasks.
+**Impact**: Requires understanding frontmatter, safe outputs, and GitHub Actions for basic automation.
 
 #### 2. **GitHub-Only**
 - Cannot run outside GitHub Actions
@@ -792,7 +792,7 @@ gh aw compile
 
 #### 2. **Enhanced MCP Ecosystem**
 - MCP server registry
-- Easy discovery and installation
+- Registry-based discovery and installation
 - Shared configurations
 
 **Inspiration**: mdflow's MCP server patterns.
diff --git a/specs/mods/jsonschema-go.md b/specs/mods/jsonschema-go.md
index 11f0cbcfbc..c3f06cef0a 100644
--- a/specs/mods/jsonschema-go.md
+++ b/specs/mods/jsonschema-go.md
@@ -109,7 +109,7 @@ tool := &mcp.Tool{
    - Comprehensive error reporting
 
 4. **Developer-Friendly API**
-   - Simple, intuitive function signatures
+   - Concise function signatures following Go idioms
    - Good integration with Go idioms
    - Clear documentation and examples
 
@@ -181,7 +181,7 @@ While not officially released, upstream development suggests:
    - ✅ Clear error messages for schema generation failures
 
 3. **Type Safety**
-   - ✅ Excellent use of generics for compile-time safety
+   - ✅ Uses generics for compile-time type safety
    - ✅ No runtime type assertions needed
    - 💡 Could extend pattern to other schema operations
 
diff --git a/specs/oh-my-code.md b/specs/oh-my-code.md
index a957fd5cdd..f926d05db3 100644
--- a/specs/oh-my-code.md
+++ b/specs/oh-my-code.md
@@ -695,7 +695,7 @@ inputs:
 
 **Benefits of Stateless Model**:
 - Predictable, reproducible runs
-- Easy to reason about (no hidden state)
+- Transparent behavior (no hidden state)
 - Scales horizontally (parallel runs)
 - Audit trail via GitHub Actions logs
 
@@ -1048,7 +1048,7 @@ gh aw mcp inspect issue-responder
 
 **Scalability**:
 - **Horizontal**: Run multiple OpenCode instances (different projects)
-- **Vertical**: More powerful machine = more background agents
+- **Vertical**: Higher-spec machine (more CPU/RAM) = more background agents
 - **Cost**: Pay for LLM API usage only (no CI/CD minutes)
 
 **Optimization Tips**:
@@ -1640,7 +1640,7 @@ oh-my-opencode and GitHub Agentic Workflows represent two complementary approach
 - Repository-wide coordination
 
 **Neither replaces the other** - they solve different problems in different contexts:
-- Use **oh-my-opencode** when you need powerful local development with AI agents as teammates
+- Use **oh-my-opencode** when you need full-featured local development with AI agents as teammates
 - Use **gh-aw** when you need secure, auditable automation for team/org workflows
 
 **Together, they provide a comprehensive AI-powered development stack**:
diff --git a/specs/testing.md b/specs/testing.md
index cc6fd7bc36..f61a6ecafe 100644
--- a/specs/testing.md
+++ b/specs/testing.md
@@ -158,9 +158,9 @@ This project **intentionally avoids** mocking frameworks and test suites:
 - **Parallel execution**: Standard Go tests run in parallel efficiently
 - **Simplicity**: No suite lifecycle methods to understand
 - **Explicitness**: Setup is visible in each test
-- **Compatibility**: Works seamlessly with `go test` tooling
+- **Compatibility**: Compatible with standard `go test` tooling
 
-This approach keeps tests simple, fast, and maintainable. Tests verify real component interactions rather than mocked behavior.
+This approach keeps tests focused, fast, and maintainable. Tests verify real component interactions rather than mocked behavior.
 
 ### Running Tests