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Context optimizer

Skill rafaelghif/antigravity-agents/.agents/skills/context-optimizer

Enterprise-Grade Guardrails, Zero-Assumption Execution, and Quality Gates for Autonomous AI Coding Agents.

Install
npx -y skills add rafaelghif/antigravity-agents --skill context-optimizer

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What its author says it does

Copied from the file, not written here

Token janitor that compresses memory and clears obsolete artifacts to prevent LLM context bloat.

SKILL.md

1.6 KB, as published. Nobody here has run it

Context Optimizer Skill (Token Janitor)

Objective

To preserve the agent's cognitive capabilities during long-running sessions by proactively summarizing past activities, deleting irrelevant scratch files, and rotating logs to prevent Token Window exhaustion.

When to Execute

  • When the internal token usage metric exceeds 80%.
  • At the end of a very complex task before starting a new one.
  • When the .agents/scratch/ directory contains more than 5 files.

Execution Steps

  1. Artifact Triage:

    • Scan .agents/scratch/ and .agents/incidents/.
    • Identify files that are no longer actively relevant to the current task.

  2. Summarization (Compression):

    • For incident logs or long debugging outputs, read the file and write a 2-3 sentence dense summary containing the core error, the root cause, and the fix.
    • Append this summary to .agents/brain/rules.md if it represents a permanent lesson, or to .agents/brain/audit.jsonl as a completed track.

  3. Purge:

    • Delete the raw, bulky log files and temporary scratch artifacts that have been summarized.
    • Clear out outdated state backups (state.json.bak.*) keeping only the most recent one.

  4. Report:

    • Log a "Context Garbage Collection" event in the audit log, noting how many files were purged to maintain token efficiency.

Keep looking

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