Receber por email
← Voltar para o catálogo

session-search

Find context from past Claude Code (CLI) and Claude Cowork (desktop) sessions on this Mac. Use when the user wants to recall something they did before but can't find it , phrasings like "where did I work on X", "find that session where I…", "when did I last do Y", "pull up the conversation about Z", "that time I built/tried/discussed …". Searches by kind (code/cowork), time range, title, working d

83estrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add techwolf-ai/ai-first-toolkit

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/session-search/svg)](https://www.skillteca.com.br/skills/session-search)
#ai

Alerta por categoria

Receba novas skills de Design e Frontend toda segunda

1 email curto, só com as skills novas de Design e Frontend. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

session-search

Two scripts in scripts/ locate past sessions and dump their content:

  • find_sessions.py , discover + filter sessions (metadata + optional full-text grep).
  • show_session.py , print a single session's conversation (user/assistant turns) in readable form.

Both read directly from disk , no API calls, no auth. They resolve paths from $HOME so they work for any macOS user:

  • Claude Code CLI: ~/.claude/projects//\.jsonl
  • Claude Cowork: ~/Library/Application Support/Claude/local-agent-mode-sessions///local_*/audit.jsonl (sibling local_*.json holds title/metadata)

How to use

Start narrow, widen if needed. Prefer --grep for content recall; use metadata filters to scope.

Step 1 , find candidate sessions

scripts/find_sessions.py --grep "recruitee logo api"      # content search
scripts/find_sessions.py --title "rippling"              # title substring
scripts/find_sessions.py --cwd "Recruitee"               # Code sessions under matching cwd
scripts/find_sessions.py --since 2026-03-01 --until 2026-03-31
scripts/find_sessions.py --kind cowork -n 30             # 30 most recent Cowork

Combine freely. Output is a table by default; add --json for structured piping.

--grep PATTERN is a regex (case-insensitive). It searches message text inside every transcript and prints 1-2 matching snippets per session along with the session row. Use this when the user remembers a phrase or topic, not a title.

Step 2 , pull full context from a specific session

scripts/show_session.py <path-from-step-1>       # full conversation
scripts/show_session.py <path> --grep "logo"     # only turns mentioning "logo" (with ±1 surrounding turn)
scripts/show_session.py <path> --tail 20         # last 20 turns

The script strips tool calls/results and renders user + assistant text only. Output is markdown-ish; pipe to a pager if long.

Filter reference

find_sessions.py flags:

  • --kind {code,cowork,all} , default all
  • --since YYYY-MM-DD, --until YYYY-MM-DD , by last-activity mtime
  • --title TEXT , substring, case-insensitive (Cowork uses the stored title; Code uses the first user message)
  • --cwd TEXT , substring match against the working directory recorded in Code transcripts
  • --grep PATTERN , regex across transcript body
  • -n, --limit N , cap results (default 50, 0 = all)
  • --snippets N , how many matching lines to show per session under --grep (default 2)
  • --json , machine-readable output

Tips

  • If the user's description is vague, run --grep with 2–3 alternative phrasings in parallel before narrowing.
  • For Code sessions the "title" is a best-effort extraction of the first user message; for Cowork it comes from the .json sidecar written by the desktop app.
  • A session can have many transcripts (resumes, forks). find_sessions.py lists each transcript separately; that's usually what you want , the most recent one is the live thread.
  • Transcripts can be large (several MB). When dumping content to the user, prefer show_session.py --grep or --tail over the full file.
Compartilhar X LinkedIn