Auto-triggers when context is getting large or when running long sessions. Provides smart context management: when to write handoff files, how to structure state for session chaining, how to spawn fresh sessions. Activates on: long session, context pressure, session handoff, memory management, running out of context.
From autopilotnpx claudepluginhub george11642/george-plugins --plugin autopilotThis skill uses the workspace's default tool permissions.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
Guides agent creation for Claude Code plugins with file templates, frontmatter specs (name, description, model), triggering examples, system prompts, and best practices.
LLMs degrade gradually starting around 30K tokens. Information in the middle of context is recalled 10-40% worse than at the edges. After ~100K tokens, you're operating at reduced capacity.
Warning signs that you're approaching limits:
When you detect context pressure, write a handoff file:
.autopilot/handoff.md Structure# Handoff — [Timestamp]
## Current Task
[What I was working on]
## What's Done
- [Completed item 1]
- [Completed item 2]
## What's Left
- [Remaining item 1 with specific file:line references]
## Key Context
- [Critical fact 1 that the next session MUST know]
- [Critical fact 2]
## Failed Approaches
- Tried [X], failed because [Y] — DO NOT retry
## Files Modified This Session
- `path/to/file.ts` — [what changed]
## Environment State
- Branch: [current branch]
- Tests: [passing/failing]
- Uncommitted changes: [yes/no, what]
For very long sessions, periodically rewrite your current task state to keep it fresh at the context boundary: