When you return to a project and can't remember what you were working on, this skill pulls up your most recent session for that directory and surfaces any unanswered question you left hanging. It matches sessions by directory boundary (so sibling repos don't bleed into each other) and queries your session memory to reconstruct context: the work title, key files, decisions, and errors. The output is tight and actionable, ending with a concrete next step. It's the equivalent of having someone remind you "you were refactoring auth, you asked whether logout should revoke all tokens, and you were about to edit logout.ts." Invoke it with "resume" or "where were we" and it handles the rest.

skills.sh installs
14K
GitHub stars
30.2K
last updated
Aug 21, 2026

Install

$ npx -y skills add rohitg00/agentmemory --skill handoff --agent claude-code

Installs into .claude/skills of the current project.

Files

The user wants to resume work. Optional cwd override: $ARGUMENTS

Quick start

memory_sessions { "project": "<current-project-id>", "limit": 20 }

Pick the most recent session whose cwd matches this project, then: memory_recall { "query": "<session top concepts>", "project": "<current-project-id>", "limit": 10 }. When an agent is requested, pass the same agentId to both calls.

Expected output:

Resuming 7f3a9c2 "Auth refresh rework".
Open question: should logout revoke all device tokens or just the current one?
Next step: decide revoke scope, then update auth/logout.ts.

Why

Match the session by directory boundary, not raw prefix, so a sibling repo never gets mistaken for this one. Never invent observations for an empty session.

Workflow

Sponsors

Details

Repository
github.com/rohitg00/agentmemory
Category
AI & Agent Building
First seen
Jul 14, 2026

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