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Skill

/incoherence

Detect and resolve incoherence in documentation, code, specs vs implementation.

From plugin
claude-config
89811 skills5 agents
Install
$ npx -y skills add solatis/claude-config --skill incoherence --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/incoherence

Context preview

The summary Claude sees to decide when to auto-load this skill.

Detect and resolve incoherence in documentation, code, specs vs implementation.

SKILL.md

incoherence.SKILL.md
name: incoherence
description: Detect and resolve incoherence in documentation, code, specs vs implementation.

Incoherence Detector

When this skill activates, IMMEDIATELY invoke the script. The script IS the workflow.

Invocation

<invoke working-dir=".claude/skills/scripts" cmd="python3 -m skills.incoherence.incoherence --step-number 1 --thoughts '<context>'" />

| Argument | Required | Description | | --------------- | -------- | ----------------------------------------- | | `--step-number` | Yes | Current step (starts at 1) | | `--thoughts` | Yes | Accumulated state from all previous steps |

Do NOT explore or detect first. Run the script and follow its output.

Workflow Phases

1. **Detection (steps 1-12)**: Survey codebase, explore dimensions, verify candidates 2. **Resolution (steps 13-15)**: Present issues via AskUserQuestion, collect user decisions 3. **Application (steps 16-21)**: Apply resolutions, present final report

Resolution is interactive - user answers structured questions inline. No manual file editing required.

Ships withclaude-config

I use Claude Code for most of my work. After months of iteration, I noticed a pattern: LLM-assisted code rots faster than hand-written code.

Get the whole plugin