One-click install
npx skills add https://github.com/thistleknot/skills --skill continuity-log
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: continuity-log
Source: https://github.com/thistleknot/skills/tree/main/continuity-log
Command: npx skills add https://github.com/thistleknot/skills --skill continuity-log

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Continuity-log solves the problem of losing high-value decisions and resume context during long, multi-turn, or compaction-heavy agent runs, which otherwise leads to repeated analysis and wasted cycles.

Core Features & Use Cases

  • Compact-safe decision packets: Store outcomes of reasoning (decisions, evidence, rejected alternatives) instead of raw hidden chain-of-thought.
  • Clear resume points: Record where the next turn should continue after interruptions, handoffs, or context compaction.
  • Blockers, risks, and open questions: Preserve what is known, what is uncertain, and what must be revisited.
  • Anti-duplication for future turns: Prevent re-running the same analysis by keeping load-bearing decisions and their justification.
  • Use case: When an agent pauses due to time or context limits, the next run can quickly reconstruct the operational path without repeating the same reasoning.

Quick Start

Write a timestamped continuity entry capturing the objective, decision, evidence, rejected alternatives, and the exact resume point to the most appropriate continuity location for your run.

Frequently Asked Questions about continuity-log

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I preserve agent decisions during context compaction in multi-turn tasks?

To preserve agent decisions during context compaction, persist load-bearing outcomes, evidence, and rejected alternatives into a durable continuity log instead of storing raw chain-of-thought. This prevents future turns from repeating prior analysis and wasting cycles.

What is the best way to resume a long coding task after an interruption or handoff?

The best way to resume a long coding task after an interruption is to record a clear resume point in a timestamped continuity log. This allows the next agent run to quickly reconstruct the operational path without re-running the same reasoning.

How does decision logging work for multi-agent orchestration scenarios?

Decision logging for multi-agent orchestration works by capturing compact-safe decision packets that store outcomes, blockers, and open questions. This ensures subsequent agents can read the log before resuming and avoid duplicating previous analytical work.

Can I use continuity logging for research tasks that hit context limits?

Yes, you can use continuity logging for research tasks hitting context limits. It records where the next turn should continue after compaction, preserving what is known, what is uncertain, and what must be revisited across long-running research sessions.

What should I exclude when persisting working memory for agent tasks?

When persisting working memory for agent tasks, you should strictly avoid storing raw hidden chain-of-thought and unnecessary sensitive data. Focus solely on persisting durable decisions, evidence, and resume points to maintain compact-safe logs.