ar9av/obsidian-wiki

session-search

Search the session-brain graph for a past agent session by topic and load the winning transcript into the current conversation.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/ar9av/obsidian-wiki --skill session-search

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Session 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

bash
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: false are history-only: the transcript has been pruned from disk

and only the prompts survive. They are listed in unloadable with 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 id
  • bookmark-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:

bash
# 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:

bash
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 topics
  • wiki-query — search compiled vault knowledge; this skill searches raw session history instead
  • wiki-agent — pull a topic out of another agent's history and distil it into the vault

Verwandte Aufgaben

aus demselben Repository

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