Classify routine technical problems into Cynefin domains and run tailored thinking pipelines.
npx skills add https://github.com/HMWKR/claude-code-skills --skill think-lite
Please help me install this Agent Skill. Skill: think-lite Source: https://github.com/HMWKR/claude-code-skills/tree/main/skills/think-lite Command: npx skills add https://github.com/HMWKR/claude-code-skills --skill think-lite
Users often waste cognitive resources overthinking simple routine tasks or underthinking complex problems, leading to inefficient analysis, missed details, and delayed decision-making for everyday coding and analytical work.
Ask the AI to run the think-lite skill to analyze your recent routine coding task and select the optimal thinking path for it.
High-intent search queries and answers about installing and using this skill.
To match cognitive effort to problem complexity, you can apply an adaptive thinking pipeline that uses the Cynefin framework to classify issues and route them to appropriately scaled workflows. This prevents overthinking simple bugs or underthinking novel system designs.
The best way to triage quick coding tasks is using a lightweight classification process that sorts problems into distinct domains. This automatically applies a fast 3-step path for simple bugs and reserves deeper 6-step probes for genuine complexities.
The Cynefin framework classifies problems for adaptive technical decision-making by sorting them into five distinct domains: Clear, Complicated, Complex, Chaotic, and Confusion. Each domain triggers a tailored 2-to-6 step thinking pipeline.
You do not need deep architectural analysis for lightweight design reviews and team alignment. Scaled adaptive thinking applies customized workflows that provide sufficient cognitive depth for routine projects without wasting time on unnecessary full analysis.
You can use a scaled thinking pipeline for both simple bug fixes and novel system design. It automatically adjusts execution paths, running fast 3-step workflows for simple fixes and 6-step probe-based workflows for complex architectural scenarios.
You should avoid using adaptive thinking pipelines for code analysis when a situation requires full deep analysis rather than routine technical work. The pipeline is built specifically to eliminate wasted time on everyday tasks, not to handle exhaustive architectural audits.
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