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2 changes: 1 addition & 1 deletion skills/official/akashi/README.md
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Expand Up @@ -15,7 +15,7 @@ Pasting notes into context burns tokens and trust. Akashi serves only the passag
| Average per query | 22,530 tokens | 1,262 tokens | **94.4%** |
| 8-query conversation | 811,085 tokens | 44,759 tokens | **94.5%** |

Not a promise. A measurement you can reproduce: full table on the [Akashi page](https://apilium.com/en/products/akashi).
Not a promise. A measurement you can reproduce: full table on the [Akashi page](https://apilium.com/en/products/akashi). Said differently: about 18x more of your knowledge per token spent.

## Connect

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3 changes: 3 additions & 0 deletions skills/official/akashi/SKILL.md
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Expand Up @@ -58,6 +58,9 @@ decisions, conventions, people, notes, plans), query the vault:
- `aingle_vault_map`: orientation. Hubs, semantic clusters, indices.
- `aingle_note_context {note}`: the verified neighborhood of one note.
- `aingle_sources`: what is indexed, with content hashes.
- To trace how two notes or topics connect: call `aingle_note_context` on each
and intersect their neighborhoods, or walk `aingle_backlinks` from one side;
report the connecting chain with citations for every hop.

Prefer several small `ground` calls over one broad one. Never dump whole
notes into context when passages answer the question.
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