About session-search
session-search is an agent skill for finding relevant past agent sessions and bringing their context into the current work. It ranks sessions using text similarity, topic clusters, bookmarks, and recency, while distinguishing transcripts that are no longer available.
Key features
- 01Search past sessions
- 02Rank by similarity, topic, bookmarks, and recency
- 03Filter by project, cluster, date, or result count
- 04Load transcript context when available
- 05Identify history-only results
Use cases
- 01Locate an earlier session about a topic
- 02Find project-specific discussions within a date range
- 03Recover context from a bookmarked session
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ ar9av/ obsidian-wiki --skill session-searchAfter installing, type/session-searchin Claude Code to confirm it loaded.
Details
From the project READMESession Search
Answers "which of my past sessions was about X" and then pulls that session's context in.
Step 1: Check the graph exists and is fresh
obsidian-wiki sessions-query "<topic>" --json
If this exits 1 with "run sessions-build first", tell the user and offer /session-brain. If
graph.json is more than ~7 days old, mention it and offer a rebuild — but do not silently
rebuild, since that is a multi-second operation the user did not ask for.
Step 2: Rank
The scoring already combines four signals, so take the ordering as given rather than re-ranking:
- similarity — TF-IDF cosine against the session's text
- cluster lift — a session inside the best-matching topic scores higher even if its own words never matched. This is why a session that never said "telemetry" can still surface for it.
- bookmark boost — a human already flagged this session as worth keeping
- time decay — 90-day half-life, applied with a floor so an old exact match still outranks a fresh weak one
Useful filters: --project NAME, --cluster N, --since DATE, --top N.
Step 3: Present
Show the top ~5 as a compact table — title, project, date, topic, and the why string, which
already explains the match. Do not dump the raw JSON at the user.
Two things must be stated honestly rather than glossed over:
- Entries with
loadable: falseare history-only: the transcript has been pruned from disk and only the prompts survive. They are listed inunloadablewith a reason. Say the transcript is gone; do not imply it can be retrieved. - If everything relevant is unloadable, answer from the prompt text that is there and say that is all that remains.
Step 4: Load — hand off, do not reimplement
should_load holds at most 3 session ids worth opening, already filtered to ones with
transcripts.
Prefer an existing loader skill if the user has one installed:
claude-session-load— loads a Claude session by idbookmark-load— use when the hit is bookmarked
⚠️ Those skills live in the user's personal skills directory (~/.claude/skills/), not in this
repo. They may not exist. Do not assume them and do not error if they are absent — fall back to
reading the transcript directly:
# the path is in the query result as `transcript`
obsidian-wiki sessions-show <session-id> --pretty
The transcript is JSONL and can be tens of MB. Never read one whole. Filter to the human turns first:
grep -c '' <transcript> # size check before anything else
python3 -c "
import json,sys
for line in open(sys.argv[1], errors='replace'):
try: r = json.loads(line)
except ValueError: continue
if r.get('type')=='user' and not r.get('isSidechain') and not r.get('isMeta'):
c = (r.get('message') or {}).get('content')
if isinstance(c,str) and not c.lstrip().startswith('<'): print('>', c[:400])
" <transcript>
Step 5: Answer
Synthesise from what you loaded and cite the session ids you used. If the answer came from a history-only session's prompts rather than a real transcript, say so — the user needs to know how much of the context you actually have.
Related
/session-brain— build or refresh the graph, survey and name topicswiki-query— search compiled vault knowledge; this skill searches raw session history insteadwiki-agent— pull a topic out of another agent's history and distil it into the vault