import { ProceduralMemoryConfig } from "../../contracts/memory/memory-config.type.mjs";
import { SkillsStoreContract } from "../contracts/skills-store.contract.mjs";

//#region ../ai/src/skills/store/procedural-skill-store.d.ts
/**
 * {@link SkillsStoreContract} backed by the procedural memory tier
 * (`ai.memory({ procedural })`). **The unification** the design calls for:
 * "promote a proven procedural memory to a named skill" and "save a
 * self-authored skill" are the SAME machinery — one store, two entry
 * points. No fifth `MemoryTier` is added; the existing `"procedural"` tier
 * is reused verbatim.
 *
 * - `saveCandidate` ⇒ `memory.remember({ tier: "procedural", metadata: { type: "candidate" } })`.
 * - `promote` ⇒ re-remembers the same id with `type: "promoted"` and
 *   `version + 1`, which the procedural tier reinforces (increments `uses`).
 * - `list` / `load` map `memory.recall(..., { tier: "procedural" })` ⇒
 *   `RecalledMemory[]` ⇒ `SkillCatalogEntry[]` / `SkillRecord`, filtering
 *   out inert candidates so they can never be catalogued or injected.
 *
 * @example
 * const store = proceduralSkillStore({ embedder, store: cacheDriver });
 * const lib = skills({ name: "learned", sources: [{ type: "store", store }], review: gate });
 */
declare function proceduralSkillStore(config: ProceduralMemoryConfig & {
  name?: string;
  recallQuery?: string;
}): SkillsStoreContract;
//#endregion
export { proceduralSkillStore };
//# sourceMappingURL=procedural-skill-store.d.mts.map