brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
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,
Claude Code
$ npx -y skills add Frappucc1no/recall-loom --skill recallloom --agent claude-code
Codex
$ npx skills add Frappucc1no/recall-loom --skill recallloom -a codex -y
Cursor
$ npx skills add Frappucc1no/recall-loom --skill recallloom -a cursor -y
Gemini CLI
$ npx skills add Frappucc1no/recall-loom --skill recallloom -a gemini-cli -y
GitHub Copilot
$ npx skills add Frappucc1no/recall-loom --skill recallloom -a github-copilot -y
OpenCode
$ npx skills add Frappucc1no/recall-loom --skill recallloom -a opencode -y
Windsurf
$ npx skills add Frappucc1no/recall-loom --skill recallloom -a windsurf -y
name: recallloom description: 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.
RecallLoom is a portable context harness for session-based agents.
It provides a lightweight file model for project continuity across sessions without requiring heavy infrastructure.
The goal is not to remember everything. The goal is to keep the right project state durable, readable, and recoverable across sessions.
This file is the agent-facing entrypoint for the installable `recallloom/` skill package.
Install and trigger this package through your host agent's normal skill discovery flow. RecallLoom itself does not require a custom host-specific launcher inside the package. The package may still ship optional native wrapper templates for supported hosts.
This installable package is intentionally kept lean. Human-facing repository landing pages and marketing docs may exist upstream, but they are not bundled into the installed skill directory.
In the source repository, `README.md` and `README.en.md` are concise public front doors, `README.zh-CN.md` is the compatibility entry, `INDEX.md` is the full map, and `USAGE.md` is the operator guide. Those files describe the same helper contract as this installed package entrypoint rather than defining a second logic set.
For package inventory, protocol details, and helper-script behavior, rely on the files that ship inside the package itself:
<!-- RecallLoom metadata sync start: package-metadata -->
<!-- RecallLoom metadata sync end: package-metadata -->
<!-- RecallLoom metadata sync start: runtime-assumptions -->
<!-- RecallLoom metadata sync end: runtime-assumptions -->
RecallLoom package support is separate from project sidecar protocol compatibility.
Project memory for long-running AI work across agents, models, and sessions. Keep context, decisions, progress, and next steps in local project files.
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
Ask which skill or flow fits your situation. A router over the skills in this repo.