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

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AI EngineeringPython

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.

11 stars0 forksAdded 2026/07/16

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

Documentation

README

From the original repository

paleo-summary

Condense bulky content. Tool results, logs, diffs, dumps → tight intisari.

Rules

Lead with the answer/result, then supporting detail.
Preserve: status codes, error messages, IDs, paths, numbers, key fields.
Drop: stack traces beyond the root-cause line, repeated rows, boilerplate banners.
Logs: keep first error + last N lines + counts (e.g. "12 WARN, 3 ERROR").
Diffs: summarize file set + net change; show only consequential hunks.
Tables/lists: keep header + outliers, summarize the rest.

Levels

lite: trim noise, keep structure.
full (default): intisari + preserved key fields.
ultra: one-line result + the single most important detail.

Switch

paleo-summary / tldr / condense this on. full output off.

Gotchas

Never drop the actual error string — that's the diagnosis.
If the content is the deliverable (a generated file), don't summarize it; deliver as-is.
Security/credential output: summarize counts, never echo secrets.

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 Converse

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

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 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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