glebis/claude-skills159 installs

session-finder

Q: How do I install this agent skill?

Run npx skills add https://github.com/glebis/claude-skills --skill session-finder.

Q: Is this agent skill safe to install?

Review the displayed partner audits, complete source, permissions, dependencies, and exact revision before installing.

Index and search Claude Code sessions using semantic embeddings (Gemini). Find past sessions by topic, relaunch the best match. Triggers on "find session", "which session did I", "relaunch the session where", "session about X".

How do I install this agent skill?

npx skills add https://github.com/glebis/claude-skills --skill session-finder

view source ↗

Is this agent skill safe to install?

Gen Agent Trust Hubpass
The skill enables semantic search for local Claude Code session history. To provide this functionality, it reads sensitive conversation logs and sends extracted snippets to the Google Gemini API (via the llm CLI) for embedding. It also executes commands to relaunch sessions.
Socketpass
No alerts
Snykpass
Risk: LOW · No issues

What does this agent skill do?

Session Finder

Semantic search across Claude Code sessions using Gemini embeddings.

Commands

Index sessions

python3 ~/.claude/skills/session-finder/scripts/session_finder.py index [--max-age-days 90]

Search

python3 ~/.claude/skills/session-finder/scripts/session_finder.py search "query" [--top 5]

Open best match directly

python3 ~/.claude/skills/session-finder/scripts/session_finder.py open "query"

Stats

python3 ~/.claude/skills/session-finder/scripts/session_finder.py stats

How it works

Document extraction — deterministic, no LLM. Each session JSONL is parsed into a structured document:
- away_summary events (pre-existing Claude recaps) if available
- First user message (task description)
- Follow-up user messages (condensed)
- First assistant response
- Tools used
- Project name
Embedding — documents are embedded with gemini-embedding-exp-03-07 via llm CLI
Storage — SQLite at ~/.claude/session-finder.db
Search — query is embedded, cosine similarity ranks all sessions, top match is the default to open

Workflow

When user asks to find a session:

Run search with their query
Present results with confidence scores
Offer to resume the top match via claude --resume <id>

How can the creator link this skill?

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/glebis/claude-skills/session-finder">View session-finder on skillZs</a>