Prevent agent output from polluting the main context window.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionagent-context-isolationExecute the skills CLI command in your project's root directory to begin installation:
Fetches agent-context-isolation from parcadei/continuous-claude-v3 and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate agent-context-isolation. Access via /agent-context-isolation in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Prevent agent output from polluting the main context window.
# 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>/.
# 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.
# 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:
After agent work:
bun testResearch 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.
Agent context isolation preserves the main conversation's context budget. Reading agent outputs via TaskOutput floods context, causing:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
parcadei/continuous-claude-v3
mattpocock/skills
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
jezweb/claude-skills
Useful defaults in agent-context-isolation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
agent-context-isolation has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added agent-context-isolation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: agent-context-isolation is focused, and the summary matches what you get after install.
I recommend agent-context-isolation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
agent-context-isolation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
agent-context-isolation has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: agent-context-isolation is focused, and the summary matches what you get after install.
agent-context-isolation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added agent-context-isolation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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