thinking

Generates per-user cognition sidecars with provenance from canvas data.

Updated Feb 17, 2026
One-click install
npx skills add https://github.com/0xHoneyJar/construct-observer --skill thinking-0xhoneyjar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: thinking
Source: https://github.com/0xHoneyJar/construct-observer/tree/main/skills/thinking
Command: npx skills add https://github.com/0xHoneyJar/construct-observer --skill thinking-0xhoneyjar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Cognition orchestration automates the cognitive lifecycle of observer canvases by analyzing inputs, extracting fears and steering targets, and producing per-user cognition sidecars that feed downstream synthesis and governance.

Core Features & Use Cases

  • Per-canvas cognition generation via the /distill subagent.
  • Optional cross-user synthesis to surface shared patterns and drive cross-user insights.
  • Provenance, growth-state management, and staleness-aware updates for traceable cognition.
  • Supports bootstrap vs established-user workflows with per-user steering targets.

Quick Start

Run cognition orchestration to generate per-user cognition sidecars for all canvases.

Frequently Asked Questions about thinking

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

FAQPage Schema
How do I distill canvases into per-user cognition sidecars?

Cross-user synthesis is an optional feature within cognition orchestration that surfaces shared patterns across multiple users, enabling cross-user insights and governance after per-canvas cognition generation is complete.

Do I need a local distill subagent to generate per-canvas cognition?

Provenance-tracked growth state management ensures traceable cognition by recording the origin and lifecycle state of extracted fears and steering targets, supporting staleness-aware updates for bootstrap and established-user workflows.

What is the best way to orchestrate cognition across multi-user observation pipelines?

Cognition orchestration automates the cognitive lifecycle of observer canvases by analyzing inputs, extracting fears and steering targets, and producing per-user cognition sidecars that feed downstream synthesis and governance.

Can I use cognition sidecars for both bootstrap and established-user workflows?

Yes, cognition orchestration supports both bootstrap and established-user workflows by generating per-user cognition sidecars with specific steering targets and provenance-tracked growth states for each canvas.

How does cross-user synthesis work in cognition orchestration?

To distill canvases into per-user cognition sidecars, run cognition orchestration to analyze observation inputs, extract fears and steering targets, and generate validated cognition YAML with provenance and anchors.

Why does provenance tracking matter for growth-state management?

Yes, generating per-canvas cognition requires a local distill subagent, along with access to canvases, growth data, score snapshots, and pattern effectiveness data to produce validated cognition YAML.