trace-climb

Capture durable lessons from messy work into propagation-ready Evolution Records.

3|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/Mikeys-Tech-Lab/poc --skill trace-climb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trace-climb
Source: https://github.com/Mikeys-Tech-Lab/poc/tree/main/.cursor/skills/trace-climb
Command: npx skills add https://github.com/Mikeys-Tech-Lab/poc --skill trace-climb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Trace Climb prevents valuable lessons from disappearing after messy tasks by converting them into an inspectable, propagation-ready learning trace.

Core Features & Use Cases

  • Trigger-aware post-task reflection: Selects a record class (required, recommended, or skip allowed) based on whether the work exposed durable lessons worth preserving.
  • Evolution Record capture: Captures origin trace, optional activation trace, observed outcomes, missed assumptions/guidance, structural gaps, and proposed evolution.
  • Propagation decision enforcement: Ends every durable record with an explicit choice (update canon now, update operational surfaces now, open ADR path, defer with named boundary, or no-op with reason) to avoid “learning captured but not propagated.”
  • PR-visible learning trace: Produces a bounded summary or PR link that propagates learning to where it can be acted on next.

Quick Start

After a messy or non-trivial task, tell your agent to run Trace Climb and write an Evolution Record using the template, ending with a clear propagation decision.

Frequently Asked Questions about trace-climb

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

FAQPage Schema
How do I capture reusable lessons from messy post-task work without losing context?

Post-task reflection captures durable lessons from non-trivial work by converting them into an inspectable Evolution Record. This record preserves origin traces, structural gaps, and missed assumptions so valuable context is never lost.

What is an Evolution Record and how does it help with knowledge propagation?

An Evolution Record is a structured learning trace that documents architectural changes, migrations, and guidance gaps. It enforces an explicit propagation decision to ensure captured knowledge is actively applied rather than just stored.

How do I document architectural changes and migrations during a project close phase?

During the close phase, trigger classification determines if work warrants a required or recommended record. You then capture origin traces, activation traces, and observed outcomes into a structured template for future reference.

When should I use a post-task reflection process for process improvement?

Use post-task reflection when work exposes reusable deltas like architectural changes, guidance gaps, or migrations. Trigger classification evaluates whether the task requires a durable record or if skipping is permitted based on learning value.

How do I prevent captured learning from sitting without follow-through on future PRs?

To prevent learning from being stored without follow-through, every durable record must end with an explicit propagation decision. This mandates choosing to update canon, update operational surfaces, open an ADR path, or defer with a named boundary.

Can I skip documentation for simple tasks that do not expose architectural changes?

Yes, skipping is allowed for tasks that do not expose reusable deltas. The trigger-aware classification evaluates whether work warrants a required record, a recommended record, or permits a skip to avoid unnecessary documentation overhead.