mcpbeat

Session Search

glebis/session-search

This skill should be used when searching Claude Code session transcripts with semantic understanding. Triggers on queries like "find sessions about X", "when did I work on Y", "search previous conversations". Supports natural language queries with synonym matching.

3k tokens
context cost
the whole folder, loaded on every use
3
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
337
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/glebis/claude-skills --skill session-search

What comes with it

8 788 bytes besides the instruction
.claude-plugin/plugin.json
scripts/search.py

The instruction itself

7 sections, as written by the author

Search Claude Code session transcripts by combining keyword pre-filtering with semantic evaluation. Finds previous sessions about specific topics, debugging conversations, research tasks, or any past work.

Workflow

Step 1: Run the search script

Execute scripts/search.py with the user's query:

python3 scripts/search.py "<query>" [max_results] [max_age_days]
  • query (required): Natural language search query
  • max_results (optional, default 10): Maximum results to return
  • max_age_days (optional, default 90): How far back to search

The script performs keyword pre-filtering across all sessions, then extracts meaningful excerpts from top candidates. Output contains a SESSIONS_DATA JSON block.

Step 2: Evaluate results semantically

After receiving the script output, evaluate each session's relevance to the query. Consider:

  • Synonym matching: "bug" matches "error", "issue", "problem", "fix"
  • Related concepts: "debugging" matches sessions with test failures or error messages
  • Tool patterns: "refactoring" matches Edit-heavy sessions
  • Domain context: "obsidian" matches vault-related work

Assign a relevance score (0-10) to each session based on excerpt content and query intent.

Step 3: Present results

Display the top results (up to max_results) sorted by relevance, formatted as:

### [Relevance: N/10] Project — Date
Summary of what the session was about (1-2 sentences based on excerpts)
`claude --resume <session-id>`

If no relevant results are found, report that and suggest alternative queries.

Session Storage

Sessions are stored as JSONL files in ~/.claude/projects/. Each file contains events with user/assistant messages and tool calls. The search script handles file discovery and text extraction automatically.

Customization

To search older sessions or get more results:

/session-search "query" 20 180

(20 results, 180 days lookback)

How to use it

Copy the folder

Take glebis/session-search from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.