Skill profile

session-recover

Recover lost Claude Code session context by merging duplicate project directories.

What this skill does for you

Recover lost Claude Code session context by merging duplicate project directories. Finds session/memory dirs under ~/.claude/projects/ that point at the same logical project from different cwd-encoded paths (e.g. /mnt/work/foo vs ~/Projects/foo cwd produces two separate namespaces). Unifies memory into the canonical dir, archives orphaned jsonl transcripts, and captures the lesson as a feedback memory so the split doesn't repeat. Use when: 'merge sessions', 'recover lost context', 'fix duplicate session dirs', 'session memory split', 'memory dir is empty but I added things', 'two project dirs', 'recover legacy memories from before a folder move', 'stale orphan memory namespace', or any time you find a populated memory dir at the "wrong" path and an empty one at the canonical path.

Quoted from the skill description in the pinned source

Who made it

Publisherngmeyer

Repositoryskills

Installs286as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the session-recover skill from ngmeyer/skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 701dfb8bd2ffe22f6aeccc310b6eea3b20462bf1. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 701dfb8bd2ffe22f6aeccc310b6eea3b20462bf1. Raw findings: 2. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 701dfb8bd2ffe22f6aeccc310b6eea3b20462bf1. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/ngmeyer/skills
Pinned skill file: View source at revision
Revision: 701dfb8bd2ffe22f6aeccc310b6eea3b20462bf1
Package hash: sha256:bc99fbf6e97fab218f11327785d21191e8eb1bc6faa0799e43546af4c86c72c8
Licence: MIT