Dotfiles for your AI agents: one ~/.agents repo for skills, MCP servers, hooks, agent roles and memory, synced native...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if tackroom belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/yourconscience/tackroom ~/.claude/skills/tackroomRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/skills/tackroomNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ │ └─ tackroom/ ← installs here ├─ agents/ └─ settings.json
Dotfiles for your AI agents: one ~/.agents repo for skills, MCP servers, hooks, agent roles and memory, synced natively into 15 coding agents (Claude Code, Codex, Gemini CLI, Cursor, Pi, OpenCode and more). Commit-pinned, audited externals.
Source: GitHub repository
Source check: November 1, 2026
Upstream commit: November 1, 2026
Repository state: Not marked archived
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