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Context Modes

How context field controls skill execution environment.

inherit (default)

Skill runs in the main conversation context.

Characteristics:

Access to full conversation history
Prior tool results available
Changes affect main context
Shared memory/state

When to use:

Skills that build on conversation context
Iterative workflows
Skills that need prior decisions/results

---
name: code-improver
context: inherit
---

fork

Skill runs in isolated subagent context.

Characteristics:

Clean context (no conversation history)
Only skill instructions + user input
Results return to main context, but intermediate work doesn't
Can run in parallel

When to use:

Prevent context pollution from verbose analysis
Parallel execution of independent tasks
Specialized processing that shouldn't affect main flow
Security-sensitive operations with limited exposure

---
name: security-audit
context: fork
agent: outfitter:reviewer
model: sonnet
---

Fork Configuration

When using context: fork, additional fields control the subagent:

Field	Purpose	Example
`agent`	Agent type for the fork	`outfitter:analyst`
`model`	Model override	`haiku`, `sonnet`, `opus`

Agent Selection

Choose agents based on the skill's purpose:

Agent	Best For
`outfitter:analyst`	Research, analysis, synthesis
`outfitter:reviewer`	Code review, security audit
`outfitter:engineer`	Implementation, refactoring
`Explore`	Read-only codebase exploration

Model Selection

Model	When to Use
`haiku`	Fast, simple tasks, exploration
`sonnet`	Balanced (default)
`opus`	Complex reasoning, nuanced judgment

Patterns

Analysis Without Pollution

---
name: codebase-metrics
context: fork
agent: outfitter:analyst
model: haiku
description: Analyzes codebase for metrics without polluting main context
---

The skill can do extensive file reading and analysis; only the summary returns.

Parallel Security Reviews

---
name: security-scan
context: fork
agent: outfitter:reviewer
model: sonnet
---

Multiple security scans can run in parallel via run_in_background: true in Task tool.

Specialized Processing

---
name: log-analyzer
context: fork
agent: Explore
model: haiku
description: Processes large log files without filling main context
---

Decision Guide

Scenario	Context	Why
Building on conversation	`inherit`	Needs prior context
One-off analysis	`fork`	Keep main context clean
Verbose intermediate work	`fork`	Prevent pollution
Parallel execution	`fork`	Independent subagents
Iterative refinement	`inherit`	Needs state between calls
Security-sensitive	`fork`	Isolated, controlled exposure

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