Results for “token-compaction”

Suggests manual context compaction at logical intervals to preserve context through task phases rather than relying on arbitrary auto-compaction.

Intercepts responses to let users choose the depth and token budget before answering, with heuristic token estimation and preset depth levels.

Orchestrate token-heavy research, coding, and testing by delegating bounded tasks to cheaper subagents while reserving Claude Fable for architecture, synthesis, and final review.

Optimizes long-running agent sessions with structured context compression, summarization, and durable handoff summaries that preserve decisions, files, risks, and next actions.

Creates and manages design token systems with three-layer architecture, generates CSS variables, validates token usage, and produces brand-compliant slide presentations with Chart.js and contextual decision logic.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Extends effective context capacity through strategic compression, masking, caching, and partitioning techniques.