session-search
GitHub通过主题搜索历史会话并加载上下文。基于图索引排序结果,展示摘要,优先调用现有加载技能或读取转录文件。只读操作,需依赖session-brain构建的图数据。
Trigger Scenarios
Install
npx skills add Ar9av/obsidian-wiki --skill session-search -g -y
SKILL.md
Frontmatter
{
"name": "session-search",
"description": "Find a past agent session by topic and load its context into the current conversation. Searches the session-brain topic graph, ranking by relevance, topic membership, and time decay, then loads the winning transcript. Use when the user says \"\/wiki-sessions <topic>\", \"which session did I do X in\", \"find the session where I fixed X\", \"when did I last work on Y\", \"what was that session about Z\", \"load the session where I set up X\", \"have I done this before\". Read-only — never writes to the vault. Requires a graph built by the session-brain skill."
}
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
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
Version History
- 4bf87a8 Current 2026-07-31 07:12


