Reset

Reset wiki, raw, log, and checkpoint pipeline state to a clean scaffold.

Updated May 23, 2026
One-click install
npx skills add https://github.com/duany049/multi-skill-orchestration --skill reset-duany049
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Reset
Source: https://github.com/duany049/multi-skill-orchestration/tree/main/.claude/skills/reset
Command: npx skills add https://github.com/duany049/multi-skill-orchestration --skill reset-duany049

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

It solves the need to recover from broken or inconsistent wiki state by resetting generated artifacts (wiki, raw data, logs, and checkpoints) back to a known clean scaffold.

Core Features & Use Cases

  • Scoped, destructive reset: Remove or reset only the parts you specify via --scope (wiki, raw, log, checkpoints, or all), preventing accidental overreach.
  • Dry-run deletion planning: Generates a JSON deletion plan before making any changes so you can review what will be removed.
  • Interactive safety guardrails: Requires explicit confirmation before running destructive operations, especially for irreversible raw/ deletions.
  • Development recovery workflows: Useful when iterating on the research pipeline after botched setup, failed runs, or inconsistent intermediate outputs.

Quick Start

Run /reset --scope wiki,log to preview and then reset the wiki markdown artifacts and clear the log after confirming the planned deletions.

Frequently Asked Questions about Reset

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

FAQPage Schema
How do I reset wiki state and clear pipeline artifacts after a failed development run?

To reset wiki state and clear pipeline artifacts, run a scoped reset targeting wiki markdown, raw extracted entries, logs, or checkpoint batch state. This restores the environment to a clean scaffold by removing generated artifacts while preserving placeholders like .gitkeep and core configuration files.

Can I preview what gets deleted before running a destructive state cleanup on my wiki?

Yes, you can preview deletions before running destructive state cleanup because the tool generates a dry-run JSON deletion plan. This plan outlines exactly which wiki markdown artifacts, raw entries, and checkpoint state will be removed, requiring your explicit interactive confirmation before executing irreversible raw directory deletions.

What is the best way to clear only checkpoint and log state without deleting wiki markdown?

The best way to clear only checkpoint and log state without deleting wiki markdown is using targeted scoped arguments. By specifying the log and checkpoints scopes instead of all, you prevent accidental overreach and ensure the reset operation only clears the designated pipeline artifacts while leaving other generated content intact.

Does the wiki reset process preserve core configuration files and .gitkeep placeholders?

Yes, the wiki reset process preserves core configuration files and .gitkeep placeholders. It uses deterministic tool-based execution to safely wipe generated state and raw pipeline artifacts, ensuring the known clean scaffold retains essential structural files required for your development recovery workflows.

When do I need a full scoped reset for development recovery versus targeted artifact clearing?

You need a full scoped reset for development recovery when recovering from botched setups or inconsistent intermediate outputs across the entire pipeline. Targeted artifact clearing is sufficient when you only need to remove specific wiki, raw, log, or checkpoint state without affecting other generated components.

Why does the raw pipeline reset require interactive confirmation during state management?

The raw pipeline reset requires interactive confirmation during state management because deleting the raw directory is an irreversible destructive operation. This safety guardrail prevents accidental data loss, ensuring you review the dry-run deletion plan and explicitly approve the removal of raw extracted entries before execution.