Best use case
agent-context-isolation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Agent Context Isolation
Teams using agent-context-isolation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agent-context-isolation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-context-isolation Compares
| Feature / Agent | agent-context-isolation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Agent Context Isolation
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Agent Context Isolation
Prevent agent output from polluting the main context window.
## Rules
### 1. Use Background Agents with File-Based Coordination
```
# RIGHT - background agent writes to file, main reads file
Task(subagent_type="...", run_in_background=true, prompt="... Output to: /path/to/file.md")
# WRONG - foreground agent dumps full transcript into main context
Task(subagent_type="...", run_in_background=false)
```
Background agents with `run_in_background=true` isolate their context. Have them write results to files in `.claude/cache/agents/<agent-type>/`.
### 2. Never Use TaskOutput to Retrieve Results
```
# WRONG - dumps entire transcript (70k+ tokens) into context
TaskOutput(task_id="<id>")
TaskOutput(task_id="<id>", block=true)
# RIGHT - check expected output files
Bash("ls -la .claude/cache/agents/<agent-type>/")
Bash("bun test") # verify with tests
```
TaskOutput returns the full agent transcript. Always use file-based coordination instead.
### 3. Monitor Agent Progress via System Reminders
```
# System reminders come automatically:
# "Agent a42a16e progress: 6 new tools used, 88914 new tokens"
# To detect completion:
# - Watch for progress reminders to stop arriving
# - Poll for expected output files: find .claude/cache/agents -name "*.md" -mmin -5
# - Check task output file size growth: wc -c /tmp/claude/.../tasks/<id>.output
```
**Stuck agent detection:**
1. Progress reminders stop arriving
2. Task output file size stops growing
3. Expected output file not created after reasonable time
### 4. Verify with Tests, Not Output
After agent work:
1. Run the test suite directly: `bun test`
2. Report pass/fail counts
3. Only investigate failures if tests fail
### 5. File-Based Agent Pipeline Pattern
```
Research agent → .claude/cache/agents/oracle/output.md
↓
Plan agent → .claude/cache/agents/plan-agent/output.md (reads research)
↓
Validate agent → .claude/cache/agents/validate-agent/output.md (reads plan)
↓
Implement agent → src/module.ts (reads validated plan)
```
Each agent reads the previous agent's file output, not TaskOutput.
## Why This Matters
Agent context isolation preserves the main conversation's context budget. Reading agent outputs via TaskOutput floods context, causing:
- Mid-conversation compaction
- Lost context about user's original request
- Repeated explanations needed
## Source
- Session where TaskOutput flooded 70k+ tokens into main context
- Session 2026-01-01: Successfully used background agents with file-based coordination for SDK Phase 3Related Skills
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