glebis/claude-skills

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.

First seen Apr 5, 2026

Installation

$ npx skills add glebis/claude-skills --skill session-search

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 372
License MIT
Default branch main
Open issues 6
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,283 B
  • docs SUMMARY.md 287 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 181 installs

SKILL.md

Session Search

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
  • maxagedays (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)