ccp_skill

This skill preserves conversation context across sessions by continuously logging key decisions and insights while pruning old data based on retention settings.
  • Python

2.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill ccp

  • _meta.json288 B
  • SKILL.md3.6 KB

Overview

This skill continuously records and compresses session events so conversation context survives crashes, restarts, and inter-session gaps. It appends only key decisions, discoveries, and essential context to a rolling session archive and automatically prunes old files based on a user-selected retention period.

How this skill works

At session start the skill creates a dated session file and, during heartbeats, appends a compressed summary of progress: topics, key decisions, and items to remember. It avoids raw transcript dumps by acting as a live compressor that keeps only high-value context. A weekly cleanup routine removes files older than the configured retention duration.

When to use it

  • You need crash-resistant context continuity between agent sessions.
  • You want a lightweight archive of recent session history without storing full transcripts.
  • You need quick recovery of decisions and discovery points after a restart or error.
  • You want to maintain short-term context while keeping long-term memory separate.

Best practices

  • Choose a retention duration during initial setup (7, 10, 30, or 180 days) and confirm it before enabling the skill.
  • Log concise, high-level summaries: topics covered, key decisions, and facts to remember — not raw chat logs.
  • Run or schedule the cleanup routine weekly to enforce the retention window.
  • Use session files as a short-term safety net and keep curated long-term facts in your primary memory system.
  • Name and timestamp session files consistently so recovery and manual inspection are easy.

Example use cases

  • A developer debugging a multi-step deployment who needs to resume after a crash with decisions preserved.
  • A support agent who wants key troubleshooting steps and outcomes persisted between shifts.
  • A research workflow that accumulates discoveries over several short sessions and needs a rolling history.
  • An automation agent that must avoid losing configuration decisions when sessions restart unexpectedly.

FAQ

During setup you pick a retention option (7, 10, 30, or 180 days). That value configures the cleanup routine which deletes files older than the chosen window.

Will this store full conversation transcripts?

No. The skill intentionally compresses and appends only key context, decisions, and important discoveries to avoid storing raw, verbose logs.

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