Reduce & Delegate Framework Skill
Apply the R&D framework to optimize prompts, workflows, and context management.
Purpose
There are only two ways to manage context: Reduce and Delegate. This skill helps you systematically apply both strategies to any context optimization challenge.
When to Use
-
Context window approaching limits
-
Agent performance degrading over conversation
-
Prompts growing unwieldy
-
Workflows consuming too many tokens
-
Need to scale agent work
The R&D Analysis Process
Step 1: Identify the Context Problem
Categorize the issue:
Problem Type Indicator Primary Strategy
Context Rot Old info guiding decisions Reduce (fresh instance)
Context Pollution Unfocused, tangential Reduce (remove irrelevant)
Toxic Context Contradictory behavior Reduce (clear conflicts)
Context Overflow Approaching limits Delegate (offload work)
Step 2: Apply Reduce Strategies
For each context element, ask:
-
Is this necessary for the current task?
-
Can this be loaded on-demand instead?
-
Is this information stale or outdated?
-
Does this contradict other context?
Reduction techniques:
Technique Application
Fresh instance New task type, reset history
Output styles Control verbosity, reduce tokens
Focused reads Specific files vs directories
Priming commands Replace static memory
MCP cleanup Remove unused servers
Step 3: Apply Delegate Strategies
For complex or parallel work, ask:
-
Does this subtask need different context?
-
Can this run independently?
-
Would a specialized agent perform better?
-
Is there parallel work opportunity?
Delegation techniques:
Technique Application
Sub-agents Focused tasks with isolated context
Background agents Parallel work, async execution
Agent experts Domain-specific knowledge
Spec files Handoff between agents
Optimization Workflow
-
Measure current context state
- Use /context command
- Check token consumption
-
Analyze composition
- What's consuming most tokens?
- What's unnecessary?
-
Apply Reduce
- Remove unnecessary context
- Start fresh if needed
- Control output verbosity
-
Apply Delegate
- Offload subtasks
- Use specialized agents
- Enable parallel work
-
Verify improvement
- Measure new state
- Compare performance
Common Optimization Patterns
Pattern: Bloated Memory File
Before:
CLAUDE.md (5KB+)
Contains: everything about the project
After (Reduce):
CLAUDE.md (1KB)
Contains: only universals
.claude/commands/prime.md
Contains: task-specific context loading
Pattern: Long Conversation
Problem: Multi-turn conversation with context rot
Solution (Reduce):
-
Start fresh instance
-
Use priming command to load current state
-
Continue with clean context
Pattern: Complex Research Task
Before:
Primary agent does research -> context polluted Primary agent implements -> struggles with focus
After (Delegate):
Primary agent delegates research -> sub-agent Sub-agent returns summary -> primary continues Primary agent implements -> clean context
Pattern: Parallel Independent Tasks
Before:
Task A -> Task B -> Task C (sequential, context accumulates)
After (Delegate):
Task A (agent 1)
Task B (agent 2) -> Aggregate results
Task C (agent 3) /
Output Format
When optimizing, report:
{ "analysis": { "current_state": "Context at 80% capacity", "primary_issue": "Long conversation with accumulated history", "secondary_issues": ["Verbose tool outputs", "Unused MCP servers"] }, "reduce_recommendations": [ { "action": "Start fresh instance", "impact": "Reset accumulated history", "effort": "Low" }, { "action": "Apply concise output style", "impact": "50% reduction in output tokens", "effort": "Low" } ], "delegate_recommendations": [ { "action": "Create research sub-agent", "impact": "Isolate research context", "effort": "Medium" } ], "expected_improvement": "40-60% context reduction" }
Decision Matrix
When to Reduce vs Delegate:
Situation Reduce Delegate
Stale context X
Irrelevant context X
Conflicting context X
Complex subtask
X
Parallel work
X
Domain expertise needed
X
Context overflow X X
Key Quote
"There are only two ways to manage your context window: Reduce and Delegate. Every technique fits into one or both of these buckets."
Cross-References
-
@rd-framework.md - Framework reference
-
@context-audit skill - Audit before optimizing
-
@context-layers.md - Understanding what to optimize
-
@context-rot-vs-pollution.md - Diagnosing the problem
Version History
- v1.0.0 (2025-12-26): Initial release
Last Updated
Date: 2025-12-26 Model: claude-opus-4-5-20251101