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distill-feedback-from-history

v0.2.0

Mine the user's local Claude Code session JSONLs for recurring behavioral feedback — corrections, format/voice edicts, error catches, domain-knowledge injections — and distill each pattern into a CLAUDE.md addition (default), an auto-memory feedback entry, or a SKILL.md draft (rare: only when a true multi-step workflow is detected).

Claude Code1 Skill

By QuantumBFSLicense: MIT18 GitHub starsUpdated last month

Directory evidence

Runtimes
Claude Code
Parsed components
1 skill or MCP entry
Source updated
Aug 29, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install distill-feedback-from-history for Claude Code

Installs for the current user
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install distill-feedback-from-history@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/QuantumBFS/claude-code-skills

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/distill-feedback-from-history/.

Plugin files

plugins/distill-feedback-from-history/
├── .claude-plugin/plugin.json
└── skills/distill-feedback-from-history/SKILL.md

Included Skills1

distill-feedback-from-historyskills/distill-feedback-from-history/SKILL.md

Use when the user asks to mine their own Claude Code session history for recurring behavioral feedback — corrections, format/voice edicts, error catches, domain-knowledge injections. The output is normally proposed CLAUDE.md additions (the patterns are discipline rules, not workflows). Triggers on phrases like "distill my feedback", "find recurring corrections in my sessions", "what should I add to CLAUDE.md?", "/distill-feedback".

Plugin manifests1

plugins/distill-feedback-from-history/.claude-plugin/plugin.json
{
  "name": "distill-feedback-from-history",
  "description": "Mine the user's local Claude Code session JSONLs for recurring behavioral feedback — corrections, format/voice edicts, error catches, domain-knowledge injections — and distill each pattern into a CLAUDE.md addition (default), an auto-memory feedback entry, or a SKILL.md draft (rare: only when a true multi-step workflow is detected).",
  "version": "0.2.0",
  "author": {
    "name": "QuantumBFS"
  },
  "homepage": "https://github.com/QuantumBFS/claude-code-skills",
  "repository": "https://github.com/QuantumBFS/claude-code-skills.git",
  "license": "MIT"
}

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[distill-feedback-from-history on Agent Plugins Marketplace](https://pluginsmp.com/plugins/distill-feedback-from-history)