coding-agent-session-search

Index and search coding agent sessions with full-text and semantic queries.

2|Updated Jul 11, 2026
One-click install
npx skills add https://github.com/quangdang46/coding_agent_session_search --skill coding-agent-session-search-quangdang46
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coding-agent-session-search
Source: https://github.com/quangdang46/coding_agent_session_search/tree/main
Command: npx skills add https://github.com/quangdang46/coding_agent_session_search --skill coding-agent-session-search-quangdang46

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires asupersync, clap, indicatif, console, serde, reqwest, toon, tempfile, wait-timeout, rmp-serde, toml, directories, which, shell-words, dotenvy, notify, frankensqlite, rayon, crossbeam-channel, parking_lot, fs2, lru, rustc-hash, xxhash-rust, itoa, smallvec, regex, portable-pty, ftui, ftui-runtime, ftui-tty, ftui-extras, walkdir, glob, base64, blake3, mime_guess, pulldown-cmark, chrono, semver, tracing-appender, strsim, once_cell, syntect, itertools, crc32fast, unicode-normalization, urlencoding, half, memmap2, bytemuck, frankensearch, franken-agent-detection, wide, arrayvec, bloomfilter, hnsw_rs, ouroboros, aes-gcm, ring, url, pbkdf2, sha2, hex, dialoguer, ssh2, argon2, hkdf, zeroize, flate2, rand, qrcode, image, unicode-width, security-framework, openssl, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill aggregates and indexes conversations from various coding agents into a single, searchable timeline, enabling efficient retrieval and analysis of past interactions.

Core Features & Use Cases

  • Unified Indexing: Aggregates sessions from multiple coding agents like Codex, Claude Code, Gemini CLI, etc., into a single searchable timeline.
  • Search & Analysis: Provides full-text and semantic search capabilities to quickly find relevant information from past sessions.
  • TUI & Robot Mode: Offers a rich terminal user interface and a machine-readable JSON API for integration with other tools.
  • Multi-Machine Sync: Allows searching across sessions from multiple machines for a comprehensive view of your coding history.
  • HTML Export: Exports conversations as styled HTML files with optional encryption for offline access and sharing.

Quick Start

Use the cass skill to search for "authentication error" across all coding agent histories.

Frequently Asked Questions about coding-agent-session-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search past coding agent conversations from multiple tools at once?

To search past coding agent conversations, this Skill aggregates sessions from tools like Claude Code, Codex, and Gemini CLI into a single searchable timeline, enabling unified full-text and semantic retrieval across all your histories.

Can I index and search coding agent history across multiple machines?

Yes, you can index and search coding agent history across multiple machines. The Skill supports multi-machine sync, allowing you to aggregate and query sessions from different computers into one comprehensive timeline.

How do I export coding agent sessions for offline access or sharing?

You can export coding agent sessions as styled HTML files for offline access and sharing. The Skill includes optional encryption for these HTML exports, ensuring your exported conversations remain secure.

Does this search tool provide a machine-readable API for integrating with other tools?

Yes, the search tool provides a machine-readable JSON API called Robot Mode. This allows you to integrate the session search and retrieval capabilities directly with other tools and scripts in your workflow.

What is the best way to find a specific error in my terminal coding agent history?

The best way to find a specific error in your terminal coding agent history is using the Skill's rich TUI, which provides full-text and semantic search across indexed sessions to quickly locate relevant past interactions.