Results for “subagent”

Authoring and managing Agentforce agent definitions using the declarative Agent Script DSL (.agent files) and associated metadata types, including the Agent Script language for the new Agentforce Builder (hybrid-reasoning -> logic vs | prompt instructions, @actions/@subagent/@variables references, subagents). Use when creating agents in source control, writing or debugging Agent Script, debugging agent metadata, or understanding the metadata lifecycle of GenAiPlugin/GenAiPlanner/BotVersion types. Triggers: 'write or debug Agent Script', 'how do I deploy an Agentforce agent using source control', 'convert an agent topic to a subagent', 'what metadata types make up an Agentforce agent', 'agent test run command failing in CI pipeline', 'GenAiPlugin vs GenAiPlanner metadata relationship', 'Agent Script logic vs prompt instructions'. NOT for Apex-based agent actions — use agentforce/custom-agent-actions-apex. NOT for clicking the agent together in the Builder UI — use agentforce/agentforce-agent-creation.

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Create subagent definitions for Claude Code and OpenCode that delegate to skills. Use when creating new subagents or refactoring existing ones to follow the delegation pattern.

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Execute implementation plan by dispatching fresh subagent for each task, with code review between tasks

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Expert en Claude Code subagents (équipe dev orchestrée, contexte isolé, CLAUDE.md, multi-agent)

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プラグインに新しいサブエージェントを作成する。「サブエージェント作成」「新しいエージェント」「エージェントを作って」「エージェント追加」「subagent 作成」「エージェントを追加したい」「新規エージェント」などで起動。特定の役割を持つサブエージェントを生成。

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Invoke connected Unique spaces/subagents through the unique-cli subagent command. Use when the workspace exposes connected-space tools and you need to delegate a question or task to one of those configured assistants.

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Execute plans via delegate_task subagents (2-stage review).

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Operating discipline distilled from Claude Fable 5 for sessions and subagents on weaker models (Opus 4.x, Sonnet 5/4.x, Haiku 4.5) doing agentic coding. Load it at the START of any non-trivial task when not running on Fable 5: debugging, refactoring, changes across 2+ files, or unfamiliar code; and instruct a subagent on Opus/Sonnet/Haiku to read this skill with a non-trivial assignment. Triggers include "think like Fable", "fable-mode", "turn on discipline", "work carefully", dispatching a subagent on a weaker model, and repeated mistakes or rework in the session. NOT needed for trivial edits (rename, typo, one-liner) or purely conversational answers.

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Carry out an implementation plan by assigning each task to a separate agent, then reviewing specification compliance and code quality. Keep progress in files and review the complete set of changes after all tasks are finished.

• Implementing a plan with mostly independent tasks
• Reviewing specification compliance after each task
• Resuming work from recorded progress

Carry out an existing implementation plan in one session, task by task. Verify each step with tests, record progress and decisions in a file, and finish with a review of all changes on the branch.

• Implementing a prepared development plan
• Executing tasks without implementer subagents
• Resuming work from a progress record

Coordinate subagents, separate agents assigned tasks, to pursue a long-running goal in one session. Maintain dialogue with the user while improving working conditions, shared rules, and access to information needed for future tasks.

• Coordinating agents around a long-term goal
• Continuing user dialogue during background work
• Improving shared rules and working conditions

Build specialized agents for Claude Code plugins that handle tasks involving multiple steps. Define when each agent should run, its responsibilities, available tools, and expected output, then validate its configuration and test its behavior.

• Creating a dedicated code review agent
• Writing agent activation conditions and examples
• Limiting an agent to the tools it needs

Delegate release work to a subagent that runs the claude-mem skills version-bump and childhood in order. Use it to coordinate those two stages as a single automated task.

• Delegating release work to a subagent
• Running version-bump followed by childhood
• Coordinating two release stages in one request

Carry out a phased implementation plan with subagents assigned to implementation, verification, pattern checks, and code review. Each phase must pass verification before changes are committed and pushed, with context prepared for the next phase.

• Execute a plan created with make-plan
• Delegate implementation work by phase
• Verify changes and review code before committing

Coordinates a named team of Codex workers with concrete responsibilities and shared progress records. It selects available collaboration tools, manages communication and separate working copies when needed, and handles integration, team archival, and cleanup after the work ends.

• Splitting related implementation work across cooperating agents
• Investigating several aspects of a clearly defined problem
• Inspecting team progress and member responsibilities

Execute a written work plan by assigning implementation and verification to subagents. Track progress, isolate work in Git worktrees, record test evidence, and require independent verification before marking tasks complete, with optional pull request delivery.

• Executing a saved work plan
• Assigning independent tasks to parallel agents
• Resuming work with recorded progress and evidence

Research a topic across multiple sources and turn the findings into a readable report. The skill coordinates separate research agents to compare options, examine markets or trends, and synthesize literature into a coherent narrative.

• Comparing products or services
• Researching markets and industry trends
• Reviewing studies on a topic

Design how an AI agent trims long conversations and large tool outputs while retaining decisions, constraints, failed approaches, and sources. Compare summarization strategies, choose compression triggers, and consider separate subagents to keep intermediate information out of the main conversation.

• Managing large search results and tool outputs
• Preserving decisions and constraints during summarization
• Choosing compression triggers and batch processing

Create a specialized Claude Code subagent with Hindsight long-term memory. Start with an empty agent or import prepared documents, then equip it with knowledge pages and memory search to reuse information across sessions.

• Create a specialized agent that remembers across sessions
• Build an agent from prepared reference documents
• Start an empty agent and add knowledge over time

Create, update, explain, and compare Excalidraw diagrams through separate subagents. Keeps lengthy diagram data out of the main conversation, returning concise summaries of components, connections, structural differences, and completed changes.

• Explaining components and connections in an existing diagram
• Adding a component and its connections
• Creating an architecture diagram or flowchart

Execute an implementation plan in one session by assigning a fresh subagent, a separate task-focused agent, to each task. Check specification compliance first, then code quality, and repeat fixes and reviews before proceeding.

• Execute an existing plan with mostly independent tasks
• Check specification compliance before reviewing code quality
• Repeat fixes and reviews for each implementation task

Manage shell commands and AI agent tasks through a shared gbrain job queue. Track progress, steer agents, pause or resume work, and coordinate parallel tasks, with guidance for long operations, completion reporting, and reusable stage checkpoints.

• Run scripts as monitored background jobs
• Coordinate parallel research by AI agents
• Redirect, pause, or resume an agent task

Build, edit, or debug backend AI agents with eve, a framework that represents agents as directories of files. Work on instructions, tools, connections, schedules, and related components using documentation bundled with the installed version.

• Create a backend AI agent with eve
• Update agent instructions, tools, and connections
• Debug schedules and subagent configurations

Give subagents or short sessions a compact set of working rules for checking evidence, changing unsuccessful approaches, and verifying results. It also defines agent roles and uses stern corporate-style commentary to push execution forward.

• Giving subagents a shared set of execution rules
• Adding evidence checks to short working sessions
• Changing approach after repeated failures