Add Scout agent to base2! Tweak agent roles. Add researcher to editor.

Author: jahooma

.agents/base2/base2-factory.ts

@@ -27,9 +27,9 @@ export const base2 = (model: ModelName): Omit<SecretAgentDefinition, 'id'> => ({
   outputMode: 'last_message',
   includeMessageHistory: true,
   toolNames: ['spawn_agents', 'end_turn'],
-  spawnableAgents: ['planner', 'editor', 'reviewer', 'context-pruner'],
+  spawnableAgents: ['scout', 'planner', 'editor', 'reviewer', 'context-pruner'],
 
-  systemPrompt: `You are a strategic base agent that orchestrates complex coding tasks through specialized sub-agents.
+  systemPrompt: `You are Buffy, a strategic coding assistant that orchestrates complex coding tasks through specialized sub-agents.
 
 Principles:
 - You coordinate between agents but do not implement code yourself.

.agents/base2/editor.ts

@@ -11,7 +11,7 @@ const editor: SecretAgentDefinition = {
   model: 'anthropic/claude-4-sonnet-20250522',
   displayName: 'Code Editor',
   spawnerPrompt:
-    'Expert code editor with access to tools to edit files and run terminal commands. Can handle small to medium sized tasks, or work off of a plan for more complex tasks.',
+    'Expert code editor with access to tools to find and edit files, run terminal commands, and search the web. Can handle small to medium sized tasks, or work off of a plan for more complex tasks.',
   inputSchema: {
     prompt: {
       type: 'string',
@@ -40,7 +40,7 @@ const editor: SecretAgentDefinition = {
     'set_output',
     'end_turn',
   ],
-  spawnableAgents: ['file-explorer'],
+  spawnableAgents: ['file-explorer', 'researcher'],
 
   systemPrompt: `You are an expert code editor with deep understanding of software engineering principles.
 
@@ -56,7 +56,7 @@ ${PLACEHOLDER.KNOWLEDGE_FILES_CONTENTS}`,
 
   instructionsPrompt: `Implement the requested changes. Feel free to ignore the plan if it seems incorrect.
 
-- It's helpful to spawn a file explorer to discover all the relevant files for implementing the plan.
+- It's helpful to spawn a file explorer to discover all the relevant files for implementing the plan. You can also spawn a researcher at the same time to find information on the web, if relevant.
 - You must read all relevant files to understand the current state. You must read any file that could be relevant to the plan, especially files you need to modify, but also files that could show codebase patterns you could imitate. Try to read a lot of files in a single tool call. E.g. use read_files on 12 different files, and then use read_files on 6 more files that fill in the gaps.
 - Implement changes using str_replace or write_file.
 - You must use the set_output tool before finishing and include a clear explanation of the changes made or an answer to the user prompt.

.agents/base2/planner-factory.ts

@@ -13,7 +13,7 @@ export const plannerFactory = (
   model,
   displayName: 'Peter Plan',
   spawnerPrompt:
-    'Creates comprehensive plans by exploring the codebase, doing research on the web, and thinking deeply. You can also use it to answer questions about anything you want to know.',
+    'Creates comprehensive plans by exploring the codebase, doing research on the web, and thinking deeply. You can also use it get deep answer to any question.',
   inputSchema: {
     prompt: {
       type: 'string',

.agents/base2/scout.ts

@@ -0,0 +1,42 @@
+import {
+  PLACEHOLDER,
+  type SecretAgentDefinition,
+} from '../types/secret-agent-definition'
+import { publisher } from '../constants'
+
+const definition: SecretAgentDefinition = {
+  id: 'scout',
+  publisher,
+  model: 'google/gemini-2.5-pro',
+  displayName: 'Lewis & Clark',
+  reasoningOptions: {
+    effort: 'low',
+  },
+  spawnableAgents: ['file-explorer', 'researcher'],
+  toolNames: ['spawn_agents', 'end_turn'],
+
+  inputSchema: {
+    prompt: {
+      type: 'string',
+      description: 'Any question',
+    },
+  },
+  outputMode: 'last_message',
+  includeMessageHistory: true,
+
+  spawnerPrompt: `Spawn this agent when you need a quick answer to a question. Can search the codebase and the web.`,
+  systemPrompt: `You are an expert architect and researcher. You are quick to search the codebase and web, but do not make any changes.
+
+You spawn agents to help you gather information and answer the user's question. If you need to spawn multiple agents, it's good to spawn multiple agents in parallel to quickly answer the question.
+
+Then answer the question to the best of your ability.
+
+You cannot use any other tools beyond the ones provided to you. (No abiltity to read files, write files, or run terminal commands, etc.)
+
+${PLACEHOLDER.FILE_TREE_PROMPT}
+${PLACEHOLDER.KNOWLEDGE_FILES_CONTENTS}`,
+
+  instructionsPrompt: `Answer the user questions using by spawning agents to help. Use the end_turn tool when you've answered the question.`,
+}
+
+export default definition

.agents/factory/researcher.ts

@@ -18,10 +18,10 @@ export const researcher = (
   },
   outputMode: 'last_message',
   includeMessageHistory: false,
-  toolNames: ['web_search', 'read_docs', 'read_files', 'end_turn'],
+  toolNames: ['web_search', 'read_docs', 'end_turn'],
   spawnableAgents: [],
 
-  systemPrompt: `You are an expert researcher who can search the web and read documentation to find relevant information. Your goal is to provide comprehensive research on the topic requested by the user. Use web_search to find current information and read_docs to get detailed documentation. You can also use code_search and read_files to examine the codebase when relevant.`,
+  systemPrompt: `You are an expert researcher who can search the web and read documentation to find relevant information. Your goal is to provide comprehensive research on the topic requested by the user. Use web_search to find current information and read_docs to get detailed documentation.`,
   instructionsPrompt: `
 Provide comprehensive research on the topic. Use web_search to find current information and read_docs to get detailed documentation.
 In your report, include key findings, relevant insights, and actionable recommendations.