Will I lose important project data when using this skill?

No. The skill includes guardrails to ensure that essential evidence, technical references, and required documentation are never removed during the compaction process.

Is this skill only for quantitative research projects?

No. While it originated in the quant-lab repository, Context Compactor is a general-purpose developer tool applicable to any complex software engineering workflow.

What is the primary purpose of Context Compactor?

Context Compactor summarizes and trims your active AI session context into structured markdown files to prevent token bloat while keeping your progress recoverable.

How does the skill determine when to trim files?

The skill respects a LINE_BUDGETS.yaml file which defines specific limits for context files, triggering a rotation or trim when those limits are reached.

How does this help with AI performance?

By keeping the active context window small and focused on current goals, it reduces the likelihood of the AI losing track of instructions or producing irrelevant code due to information overload.

Context Compactor

Name: Context Compactor
Author: CheekyCodexConjurer

byCheekyCodexConjurer

Productividad y Flujo de Trabajo

Compresses long-running session context into structured handoff files and action logs to maintain AI efficiency.

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Context Compactor is a specialized utility designed to manage token usage and mental overhead during extended AI-assisted development sessions. By distilling the current project state into HANDOFF.md and BACKLOG.md files while rotating logs based on specific line budgets, it ensures that Claude remains responsive and focused without losing critical progress or historical evidence. This skill is essential for complex, multi-stage engineering tasks where context bloat can lead to decreased AI performance or halluncinations.

Características Principales

Configurable line budget enforcement via YAML limits
Dynamic backlog management for tracking open items and pending tasks
0 GitHub stars
Intelligent rotation and trimming of AUTO_CONTEXT.md to prevent bloat
Automated context summarization into structured HANDOFF.md files
Safe-guarding of essential technical evidence and references during compression

Casos de Uso

Managing long-running coding sessions where context window limits are being approached
Facilitating clean handovers of project state between different AI sessions or team members
Maintaining a high-performance workspace by archiving completed action logs

Acerca de

Características Principales

Configurable line budget enforcement via YAML limits
Dynamic backlog management for tracking open items and pending tasks
0 GitHub stars
Intelligent rotation and trimming of AUTO_CONTEXT.md to prevent bloat
Automated context summarization into structured HANDOFF.md files
Safe-guarding of essential technical evidence and references during compression

Casos de Uso

Managing long-running coding sessions where context window limits are being approached
Facilitating clean handovers of project state between different AI sessions or team members
Maintaining a high-performance workspace by archiving completed action logs