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Frappucc1no / Skills

recall-loom

Project memory for long-running AI work across agents, models, and sessions. Keep context, decisions, progress, and next steps in local project files.

  • 155 stars
  • 5 forks
  • 2 open issues
  • Language: Python
  • License: Apache-2.0
  • updated

Install

Terminal
git clone https://github.com/Frappucc1no/recall-loom ~/.claude/skills/recall-loom
  1. Clone the repository into your ~/.claude/skills directory (or copy the skill folder containing SKILL.md).
  2. Start a new Claude Code session so the skill registry reloads.
  3. Invoke it by name, or let Claude trigger it automatically when the task matches.

If the repo bundles several skills, copy only the folders you need.

Installable items

1 items in this repository

Use when a task involves continuing a project, restoring project context, maintaining file-based project memory, updating current-state summaries, or recording meaningful progress across sessions. Works best for long-horizon, file-based projects and supports research writing, product document collaboration, software project coordination, and broader cross-functional project continuity.

Install
README

Skills overview

README preview not available. Visit the repo on GitHub for full documentation.
Topics
agent-memoryagent-skillsai-agentsai-codingai-memoryclaudeclaude-codeclaude-code-skillsclaude-skillscodexcodex-skillcontext-managementdeveloper-toolsgemini-clillmllm-agentsmarkdownproject-continuityproject-memorysession-memory
Frequently asked

What people ask about recall-loom

What is Frappucc1no/recall-loom?

Frappucc1no/recall-loom is skills for the Claude AI ecosystem. Project memory for long-running AI work across agents, models, and sessions. Keep context, decisions, progress, and next steps in local project files. It has 155 GitHub stars and its last recorded update is dated 2026-08-06.

How do I install recall-loom?

You can install recall-loom by cloning the repository (https://github.com/Frappucc1no/recall-loom) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is Frappucc1no/recall-loom safe to use?

Our security agent has analyzed Frappucc1no/recall-loom and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.

Who maintains Frappucc1no/recall-loom?

Frappucc1no/recall-loom is maintained by Frappucc1no. The last recorded GitHub activity is dated 2026-08-06, with 2 open issues.

Are there alternatives to recall-loom?

Yes. On ClaudeWave you can browse similar skills at /categories/skills, sorted by popularity or recent activity.