Master context engineering operations
context-engineeringskillsetup L2★2,280
rohitg00/pro-workflow ↗What it does
Master the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.
Best for
Optimizing large AI sessions by partitioning work across execution spaces and compacting without losing critical state.
Inputs
- · 1. Start complex task → create NOTES.md with goals and constraints 2. After research → write findings to NOTES.md 3. After compaction → NOTES.md survives, context does not 4. Resume → read NOTES.md to
- · 1. Start with file names (Glob) 2. Narrow to specific functions (Grep) 3. Read only the relevant lines (Read with offset+limit) 4. Never read entire large files when you need one function
- · { "type": "PostCompact", "command": "cat .claude/critical-context.md" }
Outputs
- · Reactive state store
- · Type-safe store instance
Preconditions
Data model understood, valid input structure
Failure modes
Missed gotchas, misunderstood patterns, misconfiguration
Trust signals
- · Documented examples
- · Testing guidance included