smithery.ai

unarchive-repo

Restore an archived repository to active queries

First seen Mar 21, 2026

Installation

$ npx skills add https://smithery.ai

Also in this package

Other skills from smithery.ai · top by installs.

npx skills add https://smithery.ai

Browse all from smithery.ai

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Version1

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,634 B
  • docs SUMMARY.md 70 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

Unarchive Repository

This skill restores an archived repository so it appears in query results again.

Instructions for Agent

1. Identify Repository

  • Get repository name/slug from user parameter
  • If user refers to "current repo" or "this repo", extract from git:

- git rev-parse --show-toplevel to get repo path - Normalize path to slug format

2. Call Python Script

Execute the manage_memory.py script:

cd "${CLAUDE_PLUGIN_ROOT}"

# Detect Python command (python3 on Linux, python on Windows)
PYTHON_CMD=$(command -v python3 || command -v python)

# Try to use venv if available, create if needed, skip if venv creation fails
if [ -d "venv" ]; then
  # Activate venv (cross-platform)
  if [ -f "venv/bin/activate" ]; then
    source venv/bin/activate
  elif [ -f "venv/Scripts/activate" ]; then
    source venv/Scripts/activate
  fi
elif $PYTHON_CMD -m venv venv 2>/dev/null; then
  echo "Setting up Python environment (first time)..."
  if [ -f "venv/bin/activate" ]; then
    source venv/bin/activate
  elif [ -f "venv/Scripts/activate" ]; then
    source venv/Scripts/activate
  fi
  pip install -r requirements.txt
else
  echo "Note: Using system Python (venv creation not available)"
fi
source venv/bin/activate  # or venv\Scripts\Activate.ps1 on Windows
# Use python3 on Linux/WSL, python on Windows
$PYTHON_CMD scripts/manage_memory.py unarchive-repo \
  --config-repo "$YW_CONFIG_REPO_PATH" \
  --repo-name {repo_name}

3. Handle Result

Parse the JSON output:

{
  "success": true,
  "repo_slug": "revived-project",
  "archived": false,
  "filepath": "domains/dev/memory/repositories/revived-project.md"
}

Return confirmation to the user:

Repository restored!
- Repository: revived-project
- Status: Now visible in queries
- Synced to remote: Yes

If error occurs:

{
  "success": false,
  "error": "Repository 'xyz' not found in memory system"
}

Inform user that the repository doesn't exist in the memory system.

Example Usage

User: "unarchive the legacy-api repo, we're using it again"

Agent:

  1. Identifies repository name: legacy-api
  2. Calls manage_memory.py unarchive-repo
  3. Confirms repository was restored

User: "restore this repo to my active list"

Agent:

  1. Gets current repository path
  2. Calls manage_memory.py unarchive-repo
  3. Confirms repository was unarchived