ZBS Index What actually exists in applied AI, with the source next to it

skill

recallloom

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.

Description as published by the maintainer. Source

  • active

active — Most recent push to the repository was 2026-08-06.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 152 Stars on the repository that contains this skill, not on the skill itself. A collection of fifty skills shares one number, so it says nothing about this particular skill. cumulative, all time GitHub
Last commit 2026-08-06 Most recent push to the containing repository. It may reflect work on a different skill in the same collection. point in time GitHub
repository status active The repository holding this skill exists and is not archived. as of fetch GitHub

Will this work with your setup?

Install location suggests this is meant for claude-code. The author tagged this repository "claude-code-skills" on GitHub. That is their statement of intent, not a test result.

We have not run this skill against a task with and without it enabled, so we cannot tell you whether it improves anything, what it costs in tokens, or whether it duplicates behaviour your harness already has. When we have run that test, the result will appear on this page with the task, the versions and the budget it used.

The skill definition lives at skills/recallloom/SKILL.md in https://github.com/Frappucc1no/recall-loom.

Where to get it

Related, by what their authors tagged them

  • io.github.dcostenco/prism-coder — last commit 2026-08-07, shares agent-memory, session-memory
    Session memory, knowledge search, Brave Search, Gemini AI, and code transforms for AI agents
  • io.github.dcostenco/prism-mcp — last commit 2026-08-07, shares agent-memory, session-memory
    Session memory, knowledge search, Brave Search, Gemini AI, and code transforms for AI agents
  • A2CR — last commit 2026-08-05, shares agent-memory, context-management
    Save AI-agent handoff checkpoints, WorkStash notes, and WorkThreads in a local A2CR workspace.
  • Sugar — last commit 2026-07-20, shares ai-coding, ai-memory, context-management
    Autonomous AI development system with persistent task queue and background execution
  • ContextStream — last commit 2026-08-05, shares ai-memory, context-management
    Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
  • ContextStream MCP Server — last commit 2026-08-05, shares ai-memory, context-management
    ContextStream MCP server for code context, memory, search, and AI tools.
  • ai.smithery/neverinfamous-memory-journal-mcp — last commit 2026-07-22, shares context-management
    A MCP server built for developers enabling Git based project management with project and personal…
  • Context Book — last commit 2026-06-06, shares context-management
    Stop re-explaining yourself to Agents. Give it the right context, right when needed.
  • Bilinc — last commit 2026-08-06, shares context-management
    Hosted agent memory with provenance, contradiction surfacing, and snapshot rollback.
  • io.github.buttonmonkey/mcp-loom — last commit 2026-07-06, shares context-management
    Stdio MCP proxy: intercepts oversized tool results into a queryable embedded DuckDB.

These share tags the maintainers applied themselves, such as agent-memory, session-memory, context-management, ai-coding. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: agent-memory, agent-skills, ai-agents, ai-coding, ai-memory, claude, claude-code, claude-code-skills, claude-skills, codex, codex-skill, context-management, developer-tools, gemini-cli, llm, llm-agents, markdown, project-continuity, project-memory, session-memory.

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Sources

  1. Frappucc1no/recall-loom on GitHub — GitHub, observed , trust tier 3.