fix naming

Author: nhorton

.claude/agents/dwe_experts.md

@@ -1,5 +1,5 @@
 ---
-name: experts-expert
+name: experts
 description: "DeepWork experts system - creating, organizing, and evolving domain knowledge collections that auto-improve through topics and learnings."
 ---
 
@@ -158,7 +158,7 @@ Returns markdown list with links, summaries, sorted by last_updated.
 Running `deepwork sync` generates Claude agents in `.claude/agents/`:
 
 - Filename: `dwe_[expert-name].md`
-- Agent name: `[expert-name]-expert`
+- Agent name: `[expert-name]`
 - Body: full_expertise + dynamic topic/learning lists
 
 The dynamic embedding ensures agents always access current topics and learnings:

.claude/settings.json

@@ -1,5 +1,8 @@
 {
   "permissions": {
+    "deny": [
+      "Bash(gh pr merge:*)"
+    ],
     "allow": [
       "WebFetch(domain:code.claude.com)",
       "WebFetch(domain:www.anthropic.com)",

.deepwork/experts/experts/expert.yml

@@ -158,7 +158,7 @@ full_expertise: |
   Running `deepwork sync` generates Claude agents in `.claude/agents/`:
 
   - Filename: `dwe_[expert-name].md`
-  - Agent name: `[expert-name]-expert`
+  - Agent name: `[expert-name]`
   - Body: full_expertise + dynamic topic/learning lists
 
   The dynamic embedding ensures agents always access current topics and learnings:

CHANGELOG.md

@@ -36,7 +36,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   - `deepwork learnings --expert "name"` - Lists learnings as markdown with summarized results
 - Expert agent generation during `deepwork sync`:
   - Generates Claude agents in `.claude/agents/dwe_[expert-name].md`
-  - Agent name format: `[expert-name]-expert`
+  - Agent name format: `[expert-name]`
   - Uses dynamic command embedding (`$(deepwork topics ...)`) for always-current content
 - Standard "experts" expert shipped with DeepWork documenting the experts system itself
   - Includes topics on design patterns and discovery descriptions

doc/experts_requirements.md

@@ -135,7 +135,7 @@ Returns a Markdown list of learnings:
 
 Agents are created in `.claude/agents/` with:
 - **Filename**: `dwe_[expert-name].md` (e.g., `dwe_rails-activejob.md`)
-- **name field**: `[expert-name]-expert` (e.g., `rails-activejob-expert`)
+- **name field**: `[expert-name]` (e.g., `rails-activejob`)
 - **description**: The `discovery_description` from expert.yml
 
 ### Agent Body Content

flake.nix

@@ -68,9 +68,9 @@
               uv venv .venv --quiet
             fi
 
-            # Sync dependencies (including dev extras like pytest, ruff, mypy)
+            # Sync dependencies (including dev group: pytest, ruff, mypy)
             # Run quietly - uv only outputs when changes are needed
-            uv sync --all-extras --quiet 2>/dev/null || uv sync --all-extras
+            uv sync --group dev --quiet 2>/dev/null || uv sync --group dev
 
             # Activate venv by setting environment variables directly
             # This works reliably for both interactive shells and `nix develop --command`

pyproject.toml

@@ -38,6 +38,16 @@ dev = [
     "types-PyYAML",
 ]
 
+[dependency-groups]
+dev = [
+    "pytest>=7.0",
+    "pytest-mock>=3.10",
+    "pytest-cov>=4.0",
+    "ruff>=0.1.0",
+    "mypy>=1.0",
+    "types-PyYAML",
+]
+
 [project.scripts]
 deepwork = "deepwork.cli.main:cli"
 

src/deepwork/core/experts_generator.py

@@ -97,9 +97,9 @@ def get_agent_name(self, expert_name: str) -> str:
             expert_name: Name of the expert (e.g., "rails-activejob")
 
         Returns:
-            Agent name (e.g., "rails-activejob-expert")
+            Agent name (e.g., "rails-activejob")
         """
-        return f"{expert_name}-expert"
+        return expert_name
 
     def generate_expert_agent(
         self,

src/deepwork/standard/experts/experts/expert.yml

@@ -158,7 +158,7 @@ full_expertise: |
   Running `deepwork sync` generates Claude agents in `.claude/agents/`:
 
   - Filename: `dwe_[expert-name].md`
-  - Agent name: `[expert-name]-expert`
+  - Agent name: `[expert-name]`
   - Body: full_expertise + dynamic topic/learning lists
 
   The dynamic embedding ensures agents always access current topics and learnings:

src/deepwork/templates/claude/agent-expert.md.jinja

@@ -10,7 +10,7 @@ Template Variables:
   - learnings_count: int - Number of learnings in this expert
 #}
 ---
-name: {{ expert_name }}-expert
+name: {{ expert_name }}
 description: "{{ discovery_description | replace('"', '\\"') | replace('\n', ' ') | truncate(200) }}"
 ---