explore — Deep codebase exploration with parallel agents. Use when exploring a repo, discovering architecture, finding files, or analyzing design patterns.
Explores codebases using parallel AI agents to analyze architecture, data flow, and code health.
/plugin marketplace add yonatangross/orchestkit/plugin install orkl@orchestkitThis skill is limited to using the following tools:
assets/exploration-report.mdassets/hotspot-diagram.mdreferences/code-health-rubric.mdreferences/dependency-analysis.mdreferences/exploration-report-template.mdreferences/findability-patterns.mdrules/_sections.mdrules/agent-teams-mode.mdrules/code-health-assessment.mdrules/dependency-hotspot-analysis.mdrules/exploration-agents.mdrules/product-perspective.mdscripts/dependency-mapper.shtest-cases.jsonMulti-angle codebase exploration using 3-5 parallel agents.
/ork:explore authentication
Opus 4.6: Exploration agents use native adaptive thinking for deeper pattern recognition across large codebases.
BEFORE creating tasks, clarify what the user wants to explore:
AskUserQuestion(
questions=[{
"question": "What aspect do you want to explore?",
"header": "Focus",
"options": [
{"label": "Full exploration (Recommended)", "description": "Code structure + data flow + architecture + health assessment"},
{"label": "Code structure only", "description": "Find files, classes, functions related to topic"},
{"label": "Data flow", "description": "Trace how data moves through the system"},
{"label": "Architecture patterns", "description": "Identify design patterns and integrations"},
{"label": "Quick search", "description": "Just find relevant files, skip deep analysis"}
],
"multiSelect": false
}]
)
Based on answer, adjust workflow:
Choose Agent Teams (mesh) or Task tool (star):
CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 → Agent Teams mode| Aspect | Task Tool | Agent Teams |
|---|---|---|
| Discovery sharing | Lead synthesizes after all complete | Explorers share discoveries as they go |
| Cross-referencing | Lead connects dots | Data flow explorer alerts architecture explorer |
| Cost | ~150K tokens | ~400K tokens |
| Best for | Quick/focused searches | Deep full-codebase exploration |
Fallback: If Agent Teams encounters issues, fall back to Task tool for remaining exploration.
BEFORE doing ANYTHING else, create tasks to show progress:
TaskCreate(subject="Explore: {topic}", description="Deep codebase exploration for {topic}", activeForm="Exploring {topic}")
TaskCreate(subject="Initial file search", activeForm="Searching files")
TaskCreate(subject="Check knowledge graph", activeForm="Checking memory")
TaskCreate(subject="Launch exploration agents", activeForm="Dispatching explorers")
TaskCreate(subject="Assess code health (0-10)", activeForm="Assessing code health")
TaskCreate(subject="Map dependency hotspots", activeForm="Mapping dependencies")
TaskCreate(subject="Add product perspective", activeForm="Adding product context")
TaskCreate(subject="Generate exploration report", activeForm="Generating report")
| Phase | Activities | Output |
|---|---|---|
| 1. Initial Search | Grep, Glob for matches | File locations |
| 2. Memory Check | Search knowledge graph | Prior context |
| 3. Deep Exploration | 4 parallel explorers | Multi-angle analysis |
| 4. AI System (if applicable) | LangGraph, prompts, RAG | AI-specific findings |
| 5. Code Health | Rate code 0-10 | Quality scores |
| 6. Dependency Hotspots | Identify coupling | Hotspot visualization |
| 7. Product Perspective | Business context | Findability suggestions |
| 8. Report Generation | Compile findings | Actionable report |
# PARALLEL - Quick searches
Grep(pattern="$ARGUMENTS", output_mode="files_with_matches")
Glob(pattern="**/*$ARGUMENTS*")
mcp__memory__search_nodes(query="$ARGUMENTS")
mcp__memory__search_nodes(query="architecture")
See Exploration Agents for Task tool mode prompts.
See Agent Teams Mode for Agent Teams alternative.
For AI/ML topics, add exploration of: LangGraph workflows, prompt templates, RAG pipeline, caching strategies.
See Code Health Assessment for agent prompt. See Code Health Rubric for scoring criteria.
See Dependency Hotspot Analysis for agent prompt. See Dependency Analysis for metrics.
See Product Perspective for agent prompt. See Findability Patterns for best practices.
See Exploration Report Template.
ork:implement: Implement after explorationVersion: 2.1.0 (February 2026)
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