diff --git a/workflows/knowledge-extraction/index.ts b/workflows/extract-knowledge/index.ts
similarity index 100%
rename from workflows/knowledge-extraction/index.ts
rename to workflows/extract-knowledge/index.ts
diff --git a/workflows/knowledge-extraction/lib/knowledge-queue.ts b/workflows/extract-knowledge/lib/knowledge-queue.ts
similarity index 100%
rename from workflows/knowledge-extraction/lib/knowledge-queue.ts
rename to workflows/extract-knowledge/lib/knowledge-queue.ts
diff --git a/workflows/knowledge-extraction/lib/workdir.ts b/workflows/extract-knowledge/lib/workdir.ts
similarity index 100%
rename from workflows/knowledge-extraction/lib/workdir.ts
rename to workflows/extract-knowledge/lib/workdir.ts
diff --git a/workflows/knowledge-extraction/moderator.ts b/workflows/extract-knowledge/moderator.ts
similarity index 100%
rename from workflows/knowledge-extraction/moderator.ts
rename to workflows/extract-knowledge/moderator.ts
diff --git a/workflows/knowledge-extraction/roles/answerer.ts b/workflows/extract-knowledge/roles/answerer.ts
similarity index 100%
rename from workflows/knowledge-extraction/roles/answerer.ts
rename to workflows/extract-knowledge/roles/answerer.ts
diff --git a/workflows/knowledge-extraction/build.ts b/workflows/knowledge-extraction/build.ts
deleted file mode 100644
index 05dd5b6..0000000
--- a/workflows/knowledge-extraction/build.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-import type { AgentFn, WorkflowDefinition } from "@uncaged/nerve-core";
-import type { LlmExtractorConfig } from "@uncaged/nerve-workflow-utils";
-import { createLlmAdapter } from "@uncaged/nerve-workflow-utils";
-
-import { moderator } from "./moderator.js";
-import type { WorkflowMeta } from "./moderator.js";
-import { createAnswererRole } from "./roles/answerer.js";
-import { createExplorerRole } from "./roles/explorer.js";
-import { createQuestionerRole } from "./roles/questioner.js";
-
-export type CreateKnowledgeExtractionDeps = {
-  defaultAdapter: AgentFn;
-  adapters?: Partial<Record<keyof WorkflowMeta, AgentFn>>;
-  extract: LlmExtractorConfig;
-};
-
-export function createKnowledgeExtractionWorkflow({
-  defaultAdapter,
-  adapters,
-  extract,
-}: CreateKnowledgeExtractionDeps): WorkflowDefinition<WorkflowMeta> {
-  const a = (role: keyof WorkflowMeta) => adapters?.[role] ?? defaultAdapter;
-  const llmAdapter = createLlmAdapter(extract.provider);
-  return {
-    name: "knowledge-extraction",
-    roles: {
-      questioner: createQuestionerRole(adapters?.questioner ?? llmAdapter, { extract }),
-      answerer: createAnswererRole(adapters?.answerer ?? llmAdapter, { extract }),
-      explorer: createExplorerRole(a("explorer"), { extract }),
-    },
-    moderator,
-  };
-}
diff --git a/workflows/knowledge-extraction/roles/explorer.ts b/workflows/knowledge-extraction/roles/explorer.ts
deleted file mode 100644
index 31700d3..0000000
--- a/workflows/knowledge-extraction/roles/explorer.ts
+++ /dev/null
@@ -1,93 +0,0 @@
-import type { AgentFn, Role, ThreadContext, WorkflowMessage } from "@uncaged/nerve-core";
-import type { LlmExtractorConfig } from "@uncaged/nerve-workflow-utils";
-import { createRole } from "@uncaged/nerve-workflow-utils";
-import { z } from "zod";
-
-import { resolveWorkdir } from "../lib/workdir.js";
-
-import type { AnswererMeta } from "./answerer.js";
-import type { QuestionerMeta } from "./questioner.js";
-
-export const explorerMetaSchema = z.object({
-  patches: z.array(
-    z.object({
-      card: z.string(),
-      section: z.string(),
-    }),
-  ),
-  new_cards: z.array(z.string()),
-});
-
-export type ExplorerMeta = z.infer<typeof explorerMetaSchema>;
-
-export type CreateExplorerRoleDeps = {
-  extract: LlmExtractorConfig;
-};
-
-function lastMeta<M>(messages: WorkflowMessage[], role: string): M | undefined {
-  for (let i = messages.length - 1; i >= 0; i--) {
-    if (messages[i].role === role) {
-      return messages[i].meta as M;
-    }
-  }
-  return undefined;
-}
-
-export function explorerPrompt(ctx: ThreadContext): string {
-  const messages = ctx.steps as unknown as WorkflowMessage[];
-  const threadId = ctx.start.meta.threadId;
-  const qm = lastMeta<QuestionerMeta>(messages, "questioner");
-  const am = lastMeta<AnswererMeta>(messages, "answerer");
-  const cwd = resolveWorkdir(ctx.start);
-
-  const unanswered =
-    am?.results.filter((r) => !r.found).map((r) => r.id) ?? [];
-
-  return `You are the **explorer** in a knowledge-extraction workflow.
-
-## Context
-
-- Thread: \`nerve thread ${threadId}\`
-- Working directory (repo root for paths): ${cwd}
-- Current knowledge card (questioner): ${qm?.card ?? "(unknown)"}
-
-## Unanswered question ids
-
-${JSON.stringify(unanswered)}
-
-Use the prior answerer results in the thread to map ids to full question text when you read messages above.
-
-## Task
-
-For each unanswered question, **read the codebase** as needed, then either:
-
-- Add a new markdown file under \`.knowledge/\`, or
-- Patch an existing card (prefer updating the card listed above when appropriate).
-
-After any write or patch to \`.knowledge\`, run:
-
-\`\`\`bash
-nerve knowledge sync
-\`\`\`
-
-from this repo root (${cwd}), and fix failures until sync succeeds.
-
-## Output meta
-
-Report \`patches\` as { card, section } entries for cards you edited (section is a short heading or path hint).
-Report \`new_cards\` as repo-relative paths for brand-new files you created (e.g. \`.knowledge/new-topic.md\`).
-
-Do not claim work you did not perform.`;
-}
-
-export function createExplorerRole(
-  adapter: AgentFn,
-  { extract }: CreateExplorerRoleDeps,
-): Role<ExplorerMeta> {
-  return createRole(
-    adapter,
-    async (ctx: ThreadContext) => explorerPrompt(ctx),
-    explorerMetaSchema,
-    extract,
-  );
-}
diff --git a/workflows/knowledge-extraction/roles/questioner.ts b/workflows/knowledge-extraction/roles/questioner.ts
deleted file mode 100644
index 9fda7b9..0000000
--- a/workflows/knowledge-extraction/roles/questioner.ts
+++ /dev/null
@@ -1,108 +0,0 @@
-import { readFile } from "node:fs/promises";
-import { join } from "node:path";
-
-import type { AgentFn, Role, ThreadContext, WorkflowMessage } from "@uncaged/nerve-core";
-import type { LlmExtractorConfig } from "@uncaged/nerve-workflow-utils";
-import { createRole } from "@uncaged/nerve-workflow-utils";
-import { z } from "zod";
-
-import { resolveQueueForQuestioner } from "../lib/knowledge-queue.js";
-import { resolveWorkdir } from "../lib/workdir.js";
-
-const questionerExtractSchema = z.object({
-  questions: z
-    .array(
-      z.object({
-        id: z.string(),
-        question: z.string(),
-        domain: z.string(),
-      }),
-    )
-    .length(5),
-});
-
-export type QuestionerMeta = {
-  /** Empty when no .knowledge cards and no work to do. */
-  card: string;
-  questions: { id: string; question: string; domain: string }[];
-  remaining_queue: string[];
-};
-
-export type CreateQuestionerRoleDeps = {
-  extract: LlmExtractorConfig;
-};
-
-function questionerSystem(): string {
-  return `You are the **questioner** in a knowledge-extraction workflow.
-
-Read the given markdown knowledge card. Propose exactly **five** technical questions that are **not** already answered or covered by that card.
-
-Rules:
-- Questions must be concrete and technical.
-- Each question needs a stable string id (e.g. q1, q2, q3, q4, q5), a short domain label (e.g. routing, storage), and the question text.
-- Do not assume access to other files or tools — reason only from the card content shown.`;
-}
-
-function questionerUser(card: string, cardBody: string, remainingHint: string[]): string {
-  return `Current card path: ${card}
-
-Remaining queue after this card (paths, may be empty): ${JSON.stringify(remainingHint)}
-
---- Card content ---
-
-${cardBody}`;
-}
-
-export async function questionerPrompt(ctx: ThreadContext): Promise<string> {
-  const messages = ctx.steps as unknown as WorkflowMessage[];
-  const cwd = resolveWorkdir(ctx.start);
-  const queue = await resolveQueueForQuestioner(ctx.start, messages, cwd);
-  if (queue.length === 0) {
-    throw new Error(
-      "questioner: prompt invoked with empty queue — wrapped role should short-circuit before LLM",
-    );
-  }
-  const card = queue[0]!;
-  const remaining_queue = queue.slice(1);
-  let cardBody: string;
-  try {
-    cardBody = await readFile(join(cwd, card), "utf8");
-  } catch (e) {
-    const msg = e instanceof Error ? e.message : String(e);
-    throw new Error(`questioner: failed to read ${card}: ${msg}`);
-  }
-  return `${questionerSystem()}\n\n${questionerUser(card, cardBody, remaining_queue)}`;
-}
-
-export function createQuestionerRole(adapter: AgentFn, { extract }: CreateQuestionerRoleDeps): Role<QuestionerMeta> {
-  const inner = createRole(adapter, questionerPrompt, questionerExtractSchema, extract);
-
-  return async (ctx: ThreadContext) => {
-    const messages = ctx.steps as unknown as WorkflowMessage[];
-    const cwd = resolveWorkdir(ctx.start);
-    const queue = await resolveQueueForQuestioner(ctx.start, messages, cwd);
-    if (queue.length === 0) {
-      return {
-        content:
-          "questioner: no `.knowledge` markdown files found and no seed path in the trigger prompt; queue is empty.",
-        meta: {
-          card: "",
-          questions: [],
-          remaining_queue: [],
-        },
-      };
-    }
-
-    const card = queue[0]!;
-    const remaining_queue = queue.slice(1);
-    const r = await inner(ctx);
-    return {
-      content: r.content,
-      meta: {
-        card,
-        questions: r.meta.questions,
-        remaining_queue,
-      },
-    };
-  };
-}