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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.
Passed 4 of 12 test cases with the skill, and 2 of 12 without it.
and 3 more in the full report
5 fixed3 passed either way14 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
Search past chat sessions for Kubernetes ingress controllers and output the machine-readable JSON structure for script processing.
| Checked | Without skill | With skill |
|---|---|---|
| Passes --json to obsidian-wiki sessions-query. | Missed | Passed |
The instructions your model reads when the skill loads.
Answers "which of my past sessions was about X" and then pulls that session's context in.
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.
The scoring already combines four signals, so take the ordering as given rather than re-ranking:
Useful filters: --project NAME, --cluster N, --since DATE, --top N.
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:
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.test cases passed, vs 2 / 12 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.