test-backend-router
Test implementation of thin router skill for DiPeO backend. Provides decision criteria and documentation anchors for FastAPI server, CLI (dipeo run/results/metrics/compile/export), SQLite schema, and MCP integration in apps/server/. Use when task mentions CLI commands, server endpoints, database queries, or MCP tools.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install sorryhyun-dipeo-test-backend-router
Repository
Skill path: .claude/skills/test-backend-router
Test implementation of thin router skill for DiPeO backend. Provides decision criteria and documentation anchors for FastAPI server, CLI (dipeo run/results/metrics/compile/export), SQLite schema, and MCP integration in apps/server/. Use when task mentions CLI commands, server endpoints, database queries, or MCP tools.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack, Backend, Testing, Integration.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: sorryhyun.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install test-backend-router into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/sorryhyun/DiPeO before adding test-backend-router to shared team environments
- Use test-backend-router for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: test-backend-router
description: Test implementation of thin router skill for DiPeO backend. Provides decision criteria and documentation anchors for FastAPI server, CLI (dipeo run/results/metrics/compile/export), SQLite schema, and MCP integration in apps/server/. Use when task mentions CLI commands, server endpoints, database queries, or MCP tools.
allowed-tools: Read, Grep, Glob, Bash
---
# Test Backend Router Skill
**Purpose**: Demonstrate thin router pattern for on-demand documentation retrieval.
This is a **proof-of-concept** router skill showing how to replace automatic documentation injection with progressive disclosure via doc-lookup.
## When to Use This Skill (NOT the Agent)
Use this skill for **simple, focused tasks**:
- ✅ Reading CLI help text
- ✅ Understanding server configuration
- ✅ Reviewing database schema structure
- ✅ Learning MCP tool signatures
- ✅ Small config changes (<20 lines, 1 file)
- ✅ Debugging with logs (read-only investigation)
**Typical token usage**: ~1,500 tokens (router + specific section)
## When to Escalate to dipeo-backend Agent
Escalate for **complex, multi-step work**:
- ❌ Adding new CLI commands (multi-file changes)
- ❌ Database schema migrations
- ❌ New MCP tool implementation
- ❌ FastAPI route changes (>1 file)
- ❌ Background execution modifications
- ❌ Any task affecting >2 files
**Agent token usage**: Higher, but justified for complex work
## Decision Workflow
```
1. Task received
↓
2. Is it simple? (1 file, <20 lines, read-only)
↓ YES ↓ NO
3. Use this skill 5. Escalate to agent
↓
4. Need detailed docs?
↓ YES
Load doc-lookup with specific anchor
```
## Key Documentation Sections
Use `Skill(doc-lookup)` with these anchors for targeted retrieval:
### CLI Commands & Architecture
- **Full guide**: `docs/agents/backend-development.md#cli-system`
- **Command examples**: `docs/agents/backend-development.md#cli-commands`
- **Architecture**: `docs/agents/backend-development.md#cli-architecture`
- **Background execution**: `docs/agents/backend-development.md#background-execution`
**Example lookup**:
```bash
python .claude/skills/doc-lookup/scripts/section_search.py \
--query "cli-commands" \
--paths docs/agents/backend-development.md \
--top 1
```
### FastAPI Server
- **Overview**: `docs/agents/backend-development.md#fastapi-server`
- **Core responsibilities**: `docs/agents/backend-development.md#core-responsibilities`
### Database & Persistence
- **Database schema**: `docs/agents/backend-development.md#database-schema`
- **Message store**: `docs/agents/backend-development.md#message-store`
- **Full DB section**: `docs/agents/backend-development.md#database-persistence`
**Example lookup**:
```bash
python .claude/skills/doc-lookup/scripts/section_search.py \
--query "database-schema" \
--paths docs/agents/backend-development.md \
--top 1 \
--max-lines 40
```
### MCP Server Integration
- **MCP overview**: `docs/agents/backend-development.md#mcp-server`
- **MCP tools**: `docs/agents/backend-development.md#mcp-tools`
- **MCP resources**: `docs/agents/backend-development.md#mcp-resources`
- **MCP architecture**: `docs/agents/backend-development.md#mcp-architecture`
**Example lookup**:
```bash
python .claude/skills/doc-lookup/scripts/section_search.py \
--query "mcp-tools" \
--paths docs/agents/backend-development.md \
--top 1
```
### General Reference
- **Common patterns**: `docs/agents/backend-development.md#common-patterns`
- **Troubleshooting**: `docs/agents/backend-development.md#troubleshooting`
- **Escalation**: `docs/agents/backend-development.md#escalation`
## Usage Examples
### Example 1: Understanding CLI Flags
**User request**: "How do I add a `--json` flag to `dipeo run`?"
**Router workflow**:
1. Assess: Simple task, need CLI context
2. Load doc-lookup for CLI commands section:
```bash
python .claude/skills/doc-lookup/scripts/section_search.py \
--query "cli-commands" \
--paths docs/agents/backend-development.md \
--top 1
```
3. Review returned section (~50 lines)
4. Answer question or make simple change
5. **Token cost**: ~1,000 tokens (vs. 15,000 with auto-injection)
### Example 2: Debugging MCP Tool Registration
**User request**: "The `dipeo_run` MCP tool isn't showing up"
**Router workflow**:
1. Assess: Debugging task, need MCP tool context
2. Load doc-lookup for MCP tools:
```bash
python .claude/skills/doc-lookup/scripts/section_search.py \
--query "mcp-tools" \
--paths docs/agents/backend-development.md \
--top 1 \
--max-lines 50
```
3. Review MCP tool implementation section
4. Investigate registration logic
5. If fix is simple → handle directly
6. If complex (multi-file) → escalate to agent
### Example 3: Database Schema Review
**User request**: "What columns are in the executions table?"
**Router workflow**:
1. Assess: Read-only, need database schema
2. Load doc-lookup for database schema:
```bash
python .claude/skills/doc-lookup/scripts/section_search.py \
--query "database-schema" \
--paths docs/agents/backend-development.md \
--top 1
```
3. Return schema information from section
4. **Token cost**: ~800 tokens (just the schema section)
### Example 4: Complex Task → Escalate
**User request**: "Add support for background execution with progress callbacks"
**Router workflow**:
1. Assess: Complex (affects CLI, database, possibly execution engine)
2. Decision: This requires multi-file changes and architecture decisions
3. **Escalate**: `Task(dipeo-backend, "Add background execution with progress callbacks")`
4. Agent can then load specific sections as needed during implementation
## Escalation Paths
### To dipeo-package-maintainer
When task involves:
- Execution handler logic
- Service architecture (EventBus, ServiceRegistry)
- Domain models
- LLM infrastructure
### To dipeo-codegen-pipeline
When task involves:
- GraphQL schema changes
- Generated type issues
- TypeScript model specs
## Quick Reference: Files You Can Work With
**Directly editable** (if task is simple):
- `apps/server/src/dipeo_server/cli/parser.py` - CLI argument parsing
- `apps/server/src/dipeo_server/api/router.py` - API routes
- `apps/server/main.py` - Server initialization
- `apps/server/src/dipeo_server/infra/db_schema.py` - Database schema
**Requires agent** (if complex):
- Multiple files across CLI, API, and database
- New feature implementation
- Architecture changes
## Testing the Router + Doc-Lookup Pattern
This test skill demonstrates:
1. ✅ **Thin router**: ~100 lines vs. 600+ lines of full docs
2. ✅ **Anchor references**: Stable links to specific sections
3. ✅ **Decision criteria**: Clear guidelines for skill vs. agent
4. ✅ **Progressive disclosure**: Load only needed sections via doc-lookup
5. ✅ **Token efficiency**: ~1,500 tokens vs. 15,000 with auto-injection
## Token Savings Analysis
**Before (auto-injection via PreToolUse hook)**:
- Backend agent invocation: 15,000 tokens automatic
- Total: 15,000 tokens (all-or-nothing)
**After (router + doc-lookup)**:
- Router skill load: ~500 tokens
- Doc-lookup single section: ~500-1,000 tokens
- Total: ~1,000-1,500 tokens (on-demand)
- **Savings**: ~90% reduction for focused tasks
## Version History
- **v1.0.0** (2025-10-19): Initial test implementation demonstrating thin router pattern