Merge pull request 'feat: add adapter skill + fix commit scope' (#550) from fix/549-commit-scope into main

packages/cli-workflow/src/__tests__/skill.test.ts

@@ -7,6 +7,7 @@ const __dirname = dirname(fileURLToPath(import.meta.url));
 
 import {
   cmdSkillActor,
+  cmdSkillAdapter,
   cmdSkillArchitecture,
   cmdSkillAuthor,
   cmdSkillCli,
@@ -29,6 +30,7 @@ describe("skill commands", () => {
     expect(result).toContain("user");
     expect(result).toContain("author");
     expect(result).toContain("developer");
+    expect(result).toContain("adapter");
     for (const name of result) {
       expect(name).toMatch(/^\S+$/);
     }
@@ -108,6 +110,15 @@ describe("skill commands", () => {
     expect(result.length).toBeGreaterThan(500);
   });
 
+  test("skill adapter returns non-empty markdown string", () => {
+    const result = cmdSkillAdapter();
+    expect(typeof result).toBe("string");
+    expect(result).toContain("createAgent");
+    expect(result).toContain("AgentContext");
+    expect(result).toContain("frontmatter");
+    expect(result.length).toBeGreaterThan(500);
+  });
+
   test("skill help subcommand is suppressed", () => {
     const output = execFileSync("bun", ["src/cli.ts", "skill", "--help"], {
       cwd: join(__dirname, "..", ".."),
@@ -123,6 +134,7 @@ describe("skill commands", () => {
     expect(output).toContain("user");
     expect(output).toContain("author");
     expect(output).toContain("developer");
+    expect(output).toContain("adapter");
     expect(output).toContain("list");
   });
 });

packages/cli-workflow/src/cli.ts

@@ -18,6 +18,7 @@ import { cmdLogClean, cmdLogList, cmdLogShow } from "./commands/log.js";
 import { cmdSetup, cmdSetupInteractive } from "./commands/setup.js";
 import {
   cmdSkillActor,
+  cmdSkillAdapter,
   cmdSkillArchitecture,
   cmdSkillAuthor,
   cmdSkillCli,
@@ -514,6 +515,13 @@ skill
     console.log(cmdSkillActor());
   });
 
+skill
+  .command("adapter")
+  .description("Print the adapter reference (building agent adapters)")
+  .action(() => {
+    console.log(cmdSkillAdapter());
+  });
+
 skill
   .command("author")
   .description("Print the author reference (workflow YAML design guide)")

packages/cli-workflow/src/commands/skill.ts

@@ -1,5 +1,6 @@
 export {
   generateActorReference as cmdSkillActor,
+  generateAdapterReference as cmdSkillAdapter,
   generateArchitectureReference as cmdSkillArchitecture,
   generateAuthorReference as cmdSkillAuthor,
   generateCliReference as cmdSkillCli,
@@ -18,6 +19,7 @@ const SKILL_NAMES = [
   "user",
   "author",
   "developer",
+  "adapter",
 ] as const;
 
 export function cmdSkillList(): ReadonlyArray<string> {

packages/workflow-util/src/adapter-reference.ts

@@ -0,0 +1,163 @@
+export function generateAdapterReference(): string {
+  return `# Adapter Reference
+
+Guide for building a new agent adapter (CLI binary) for the workflow engine.
+
+## What Is an Adapter
+
+An adapter is a CLI command (e.g. \`uwf-hermes\`, \`uwf-builtin\`) that the engine spawns to execute a role. It bridges the workflow engine and an LLM/agent backend. The engine calls it with:
+
+\`\`\`
+uwf-<name> --thread <id> --role <role> --prompt <text>
+\`\`\`
+
+The adapter must produce frontmatter markdown output. The engine handles argument parsing, context building, output extraction, and CAS persistence — you just implement the LLM interaction.
+
+## Quick Start
+
+\`\`\`typescript
+import { createAgent } from "@uncaged/workflow-util-agent";
+import type { AgentContext, AgentRunResult, AgentContinueFn, AgentRunFn } from "@uncaged/workflow-util-agent";
+
+const run: AgentRunFn = async (ctx: AgentContext): Promise<AgentRunResult> => {
+  // 1. Build your prompt from ctx
+  // 2. Call your LLM backend
+  // 3. Return the result
+  return { output: rawMarkdown, detailHash, sessionId };
+};
+
+const continue_: AgentContinueFn = async (sessionId, message, store) => {
+  // Resume an existing session with a correction message
+  return { output: correctedMarkdown, detailHash, sessionId };
+};
+
+const main = createAgent({ name: "my-agent", run, continue: continue_ });
+main();
+\`\`\`
+
+## The \`createAgent\` Factory
+
+\`createAgent(options)\` returns an async \`main()\` function that handles the full lifecycle:
+
+1. Parses CLI args (\`--thread\`, \`--role\`, \`--prompt\`)
+2. Loads \`.env\` from storage root
+3. Builds \`AgentContext\` (thread history, workflow definition, role prompt)
+4. Injects \`outputFormatInstruction\` from the role's frontmatter schema
+5. Calls your \`run(ctx)\` function
+6. Extracts frontmatter from your output via \`tryFrontmatterFastPath()\`
+7. If extraction fails, calls your \`continue(sessionId, correctionMessage, store)\` up to 2 times
+8. Persists the validated output as a CAS step node
+9. Prints the step hash to stdout
+
+You only implement \`run\` and \`continue\`.
+
+## AgentOptions
+
+\`\`\`typescript
+type AgentOptions = {
+  name: string;           // Adapter name (used in step records as "uwf-<name>")
+  run: AgentRunFn;        // Execute a role from scratch
+  continue: AgentContinueFn;  // Resume a session for frontmatter correction
+};
+\`\`\`
+
+## AgentContext
+
+The \`ctx\` object passed to your \`run\` function:
+
+| Field | Type | Description |
+|-------|------|-------------|
+| \`threadId\` | \`string\` | Thread ULID |
+| \`role\` | \`string\` | Role name being executed |
+| \`edgePrompt\` | \`string\` | Moderator's task instruction for this step |
+| \`workflow\` | \`WorkflowPayload\` | Full workflow definition (roles, graph) |
+| \`start\` | \`StartNodePayload\` | Thread start data (workflow hash, user prompt) |
+| \`steps\` | \`StepContext[]\` | Previous steps with expanded outputs |
+| \`store\` | \`Store\` | CAS store for reading/writing data |
+| \`outputFormatInstruction\` | \`string\` | Frontmatter format instruction (inject into system prompt) |
+| \`isFirstVisit\` | \`boolean\` | True if this role hasn't run before in this thread |
+
+## AgentRunResult
+
+Your \`run\` and \`continue\` functions must return:
+
+\`\`\`typescript
+type AgentRunResult = {
+  output: string;       // Raw markdown with frontmatter (must start with ---)
+  detailHash: string;   // CAS hash of session detail (turn history, metadata)
+  sessionId: string;    // Session ID for potential continue() calls
+};
+\`\`\`
+
+## Building the Prompt
+
+Use helpers from \`@uncaged/workflow-util-agent\`:
+
+| Helper | Purpose |
+|--------|---------|
+| \`buildRolePrompt(roleDef)\` | Assemble Goal/Capabilities/Prepare/Procedure/Output sections |
+| \`buildContinuationPrompt(steps, role, edgePrompt)\` | For re-entry: steps since last visit + edge prompt |
+| \`ctx.outputFormatInstruction\` | Pre-built frontmatter format block (inject into system prompt) |
+
+Typical system prompt structure:
+\`\`\`
+[outputFormatInstruction]
+[rolePrompt from buildRolePrompt()]
+[workflow metadata]
+\`\`\`
+
+## Storing Session Detail
+
+Store your turn history as a CAS merkle DAG for debugging and replay:
+
+\`\`\`typescript
+// Store each turn as a CAS text node
+const turnHash = await store.put(textSchema, { content: turnData });
+
+// Build a detail node referencing all turns
+const detailHash = await store.put(detailSchema, { turns: turnHashes });
+\`\`\`
+
+The \`detailHash\` is preserved from the first \`run()\` call — retry \`continue()\` calls don't overwrite it.
+
+## Registration
+
+Register your adapter in \`~/.uncaged/workflow/config.yaml\`:
+
+\`\`\`yaml
+agents:
+  my-agent:
+    command: uwf-my-agent
+    args: []
+\`\`\`
+
+Use it:
+\`\`\`bash
+uwf thread exec <thread-id> --agent my-agent
+\`\`\`
+
+Or set as default:
+\`\`\`yaml
+defaultAgent: my-agent
+\`\`\`
+
+## Existing Adapters
+
+| Adapter | Package | Backend |
+|---------|---------|---------|
+| \`uwf-hermes\` | \`@uncaged/workflow-agent-hermes\` | Hermes ACP (chat sessions) |
+| \`uwf-builtin\` | \`@uncaged/workflow-agent-builtin\` | Direct OpenAI API (tools + loop) |
+| \`uwf-claude-code\` | \`@uncaged/workflow-agent-claude-code\` | Claude Code CLI |
+
+Study these for patterns on prompt building, session management, and detail storage.
+
+## Checklist
+
+1. Implement \`run(ctx)\` — build prompt, call LLM, return output + detailHash + sessionId
+2. Implement \`continue(sessionId, message, store)\` — resume session for frontmatter correction
+3. Store session detail as CAS nodes (for debugging)
+4. Ensure output starts with \`---\` frontmatter block
+5. Add a \`bin\` entry in \`package.json\` for the CLI command
+6. Register in config.yaml and test with \`uwf thread exec --agent <name>\`
+`;
+}

packages/workflow-util/src/developer-reference.ts

@@ -134,7 +134,7 @@ All data is CAS-addressed via \`@uncaged/json-cas\`:
 <type>(<scope>): <description>
 
 type: feat | fix | refactor | docs | chore | test
-scope: workflow | cli | moderator | agent-kit | hermes | util | protocol
+scope: workflow | cli | moderator | util-agent | hermes | util | protocol
 \`\`\`
 `;
 }

packages/workflow-util/src/index.ts

@@ -1,4 +1,5 @@
 export { generateActorReference } from "./actor-reference.js";
+export { generateAdapterReference } from "./adapter-reference.js";
 export { generateArchitectureReference } from "./architecture-reference.js";
 export { generateAuthorReference } from "./author-reference.js";
 export { encodeUint64AsCrockford } from "./base32.js";