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git clone https://github.com/mocasus/paleo

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AI EngineeringPython

Paleo Converse

Condense prior conversation turns into a summary, merge near-duplicates, and keep recent messages verbatim to save context tokens without losing task state.

11 stars0 forksAdded 2026/07/16

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agent-skillsai-agentsai-efficiencyautomationclaudeclaude-codecodexcontext-windowcost-optimizationdeveloper-toolsgeminigemini-clihermeshermes-agentllmllm-agentsprompt-engineeringskillstoken-savingtokens

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README

From the original repository

paleo-converse

Conversation compression. Shrink old turns, keep recent verbatim.

Rules

Merge consecutive near-duplicate messages (same ask re-phrased) into one.
Condense turns older than the last N (default 6) into a tight summary: goals, decisions, open questions, key values.
Keep the last N turns verbatim — do not rewrite the user's most recent intent.
Preserve: file paths, commands, IDs, code snippets, error strings, decisions.
Drop: chit-chat, repeated confirmations, "ok great thanks", filler.
Never summarize away the current task or a pending question.

Levels

lite: merge duplicates only, keep all turns.
full (default): merge + condense turns older than N.
ultra: condense everything older than the last 3 turns.

Switch

paleo-converse / condense chat on. stop condensing / keep full history off.
paleo-converse N=8 sets the retained verbatim window.

Gotchas

Don't compress the turn you're acting on — only history.
If the user references "what we said earlier" ambiguously, keep a bit more context.
High-stakes (legal/spec/config review): keep exact quotes.

More from mocasus

Other Claude Code skills by this author in the directory.

Paleo Auto

Automatically detects long sessions, high token usage, or bulky context and enables the appropriate Paleo token-saving skills to optimize token consumption without manual intervention.

Paleo Budget

Enforces a hard token budget per task/response by tracking estimates, stopping before limits, and summarizing if exceeded. Helps when users specify a token cap or want to limit spending.

Paleo JSON

Compacts JSON and other structured data by removing whitespace, collapsing arrays, and shortening keys to reduce token usage in LLM outputs, without breaking parseability.

Paleo Summary

Condenses long tool outputs, logs, diffs, or documents into concise summaries while preserving key details. Use when you need to save context tokens on bulky payloads.

Paleo Trim Context

Automatically trim, summarize, or drop stale content from the context window to save tokens while preserving task state. Use during long sessions, large file dumps, or before calling expensive models.

Paleo Mode

Switches the agent to a terse output mode, reducing token usage by ~50-70% while keeping code, commands, and technical terms exact. Use when you need brief replies or want to save costs.

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