Analyze all plugins for sub-agent opportunities. Identifies skills with verbose output, gaps in agent coverage, and model selection improvements.
Scanned 2/12/2026
Install via CLI
openskills install laurigates/claude-plugins---
model: opus
description: Analyze all plugins for sub-agent opportunities. Identifies skills with verbose output, gaps in agent coverage, and model selection improvements.
args: "[--focus <plugin-name>]"
allowed-tools: Glob, Grep, Read, Bash(ls *), Bash(wc *), TodoWrite
argument-hint: "analyze all plugins or --focus <plugin-name>"
created: 2026-01-24
modified: 2026-02-03
reviewed: 2026-02-08
name: agents-analyze
---
# /agents:analyze
Analyze the plugin collection to identify where sub-agents would improve workflows by isolating verbose output, enforcing constraints, or specializing behavior.
## Context
- Plugin directories: !`find . -maxdepth 1 -type d -name '*-plugin' 2>/dev/null`
- Existing agents: !`find agents-plugin/agents -maxdepth 1 -name '*.md' 2>/dev/null`
- Skills: !`find . -path '*/skills/*/skill.md' 2>/dev/null`
- Skills (user-invocable): !`find . -path '*/skills/*/SKILL.md' -not -path './agents-plugin/*' 2>/dev/null`
## Parameters
- `$1`: Optional `--focus <plugin-name>` to analyze a single plugin in depth
## Your Task
Perform a systematic analysis of the plugin collection to identify sub-agent opportunities.
### Step 1: Inventory Current State
Scan the repository to build an inventory:
1. **List all plugins** with their skill/command counts
2. **Read existing agents** in `agents-plugin/agents/` to understand current coverage
3. **If `--focus` is provided**, restrict analysis to that plugin only
### Step 2: Identify Sub-Agent Opportunities
For each plugin (or focused plugin), evaluate skills and commands against these criteria:
#### Context Isolation (Primary Value)
Operations that produce verbose output benefiting from isolation:
| Indicator | Examples |
|-----------|----------|
| Build tools | docker build, cargo build, webpack, tsc |
| Infrastructure ops | terraform plan/apply, kubectl describe |
| Test runners | Full test suite output, coverage reports |
| Profiling tools | Flame graphs, benchmark results |
| Security scanners | Vulnerability reports, audit output |
| Log analysis | Application logs, system logs |
| Package managers | Dependency trees, audit results |
#### Constraint Enforcement
Operations that should be limited to specific tools:
| Constraint | Rationale |
|------------|-----------|
| Read-only analysis | Security audit, code review - no writes |
| No network | Pure code analysis tasks |
| Limited bash | Tasks that shouldn't execute arbitrary commands |
#### Model Selection Opportunities
| Assign opus when... | Assign haiku when... |
|---------------------|----------------------|
| Complex reasoning required | Structured/mechanical task |
| Security analysis | Status checks |
| Architecture decisions | Output formatting |
| Debugging methodology | Configuration generation |
| Performance analysis | File operations |
### Step 3: Gap Analysis
Compare identified opportunities against existing agents:
1. **Missing agents**: Skills that have no corresponding agent
2. **Model mismatches**: Agents using wrong model for their task complexity
3. **Tool over-permissions**: Agents with tools they don't need
4. **Consolidation opportunities**: Multiple agents that could be merged
5. **Delegation mapping**: Check if `/delegate` references agents that don't exist
### Step 4: Produce Recommendations
For each recommended new agent, specify:
```markdown
### Proposed: <agent-name>
- **Model**: opus | haiku
- **Covers plugins**: <list>
- **Context value**: <what verbose output it isolates>
- **Tools**: <minimal set>
- **Constraint**: <read-only, no-network, etc.>
- **Priority**: HIGH | MEDIUM | LOW
- **Rationale**: <why this is better than inline execution>
```
For model/tool corrections to existing agents:
```markdown
### Fix: <agent-name>
- **Current model**: X → **Recommended**: Y
- **Reason**: <why the change improves things>
```
### Step 5: Implementation Check
If new agents are recommended, check:
- [ ] Agent name doesn't conflict with existing
- [ ] Agent fills a gap referenced by `/delegate` command
- [ ] Model selection follows haiku-for-mechanical, opus-for-reasoning
- [ ] Tool set is minimal (principle of least privilege)
- [ ] Agent has clear "does / does NOT do" boundaries
## Output Format
```markdown
## Sub-Agent Analysis Report
**Scope**: [All plugins | focused plugin name]
**Date**: [today]
**Plugins analyzed**: N
**Existing agents**: N
**Skills without agent coverage**: N
### Current Coverage Map
| Domain | Agent | Skills Covered | Gaps |
|--------|-------|----------------|------|
| ... | ... | ... | ... |
### Recommended New Agents
[Proposals from Step 4]
### Recommended Fixes
[Model/tool corrections from Step 4]
### Delegation Mapping Updates
[Any updates needed for /delegate command's agent reference table]
### Priority Summary
| Priority | Count | Top Recommendation |
|----------|-------|-------------------|
| HIGH | N | ... |
| MEDIUM | N | ... |
| LOW | N | ... |
```
## Post-Actions
After presenting the analysis:
1. Ask the user if they want to implement any of the recommendations
2. If yes, create the agent files following the existing patterns in `agents-plugin/agents/`
3. Update `agents-plugin/README.md` with new agents
4. Update `/delegate` command's agent reference table if needed
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