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Nagent

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davidondrej
nagent

Launch a new bb worker thread with the right project, model, worktree, and task brief. Use for nagent, launching a bb session, or a standalone bb agent. Covers thread creation; use bb-cli for managing existing threads.

Overview

Publisherdavidondrej
Repositoryskills
Skill namenagent
Stars
4.1K
Forks
599
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by davidondrej on GitHub. Read the source before you install it.

Installation

Install the Nagent AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/davidondrej/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/agent-orchestration/nagent .claude/skills/nagent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nagent in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nagent on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nagent is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

nagent

Read this before bb thread spawn. Use bb-cli for other thread operations.

Defaults

Use Codex gpt-5.6-sol, reasoning high, service tier fast ("GPT 5.6 Sol High Fast"). Use xhigh for larger refactors. The user's explicit choices override these defaults.

For a different requested model, use its catalog defaultReasoningEffort when unspecified, and enable fast only when asked. Do not infer a higher reasoning level from the model name.

Prefer bare bb; "$BB_CLI" is also valid when set.

Look Up the Target

bash
bb project list --json
bb provider list --json
bb provider models <provider-id> --json
  • Project: Match the name and confirm sources[].path is the requested repository. Always pass --project; never hardcode an ID.
  • Provider: Look it up. Common mappings are Cursor CLI → acp-cursor, Codex/ChatGPT subscription → codex, and Claude Code → claude-code. Grok via Cursor is not acp-grok, which is Grok Build.
  • Model: Use the catalog ID. Match both displayName and supportedReasoningEfforts[].description; model IDs, reasoning labels, and service tiers are separate.

For Cursor/Grok or Codex Max naming traps, read provider details. Verify examples against the current catalog; do not guess IDs or substitute a different provider.

Pi Agent: billing safety

--provider pi selects the harness; the full --model provider/model selects the inference and billing route. ChatGPT subscription example:

bash
--provider pi --model openai-codex/gpt-6-astra --reasoning-level xhigh

Query Pi's catalog on the target --machine or --environment. openai-codex uses the ChatGPT subscription; OpenRouter and Vercel AI Gateway bill separately. Never substitute routes without the user's approval; stop if unavailable. After spawning, verify the full model ID and reasoning in the client/turn/requested execution metadata, not just the display name.

Permission Checks

The user's investigation/build workers default to full. A child cannot exceed the parent's permission mode, so verify the parent before requesting it and the child after spawning.

Run the bundled script relative to this skill's directory:

bash
scripts/permission-mode.sh "$BB_THREAD_ID"

For a full worker, this must print full. Otherwise, stop and report that the requested mode is unavailable under the parent's limits. Do not bypass those limits. If the user requests another mode, confirm the provider supports it.

The modes are accept-edits (sandbox, human-reviewed escalations), auto (sandbox, automatic review), and full (no sandbox). A read-only brief must forbid writes regardless of mode. For Cursor permission issues, use the provider-details reference.

Spawn

Use the resolved IDs and chosen settings. This example shows the default worker's reasoning, tier, and permissions; replace them when the user requests different settings.

bash
bb thread spawn --json \
  --project <project-id> \
  --new-environment worktree \
  --provider <provider-id> \
  --model <model-id> \
  --reasoning-level high \
  --service-tier fast \
  --permission-mode full \
  --title "Short title" \
  --prompt "$(cat <<'EOF'
Objective: ...
Constraints: ...
Skills and files: ...
Deliverable: ...
Validation: ...
Report back: ...
EOF
)"

Always include --json, --title, and a complete prompt. The quoted heredoc preserves quotes in the brief.

Parent and Sidebar Placement

  • Omit parent flags for a standalone, top-level thread: "not as your own subagent".
  • Use --parent-self when this thread coordinates the worker or the job is its subtask.
  • Use --parent-thread <id> to nest under another thread. Never combine the two parent flags.

Do not nest unrelated one-off work by default.

Worktree

Use --new-environment worktree for a bb-managed worktree. Do not create one manually unless the user asks.

  • Worktrees start with tracked files. Include required untracked files such as .env through the repo's .worktreeinclude; setup may also use .bb-env-setup.sh. See bb guide environments.
  • Omit --base-branch for the project default; specify it only when needed.
  • Do not combine --machine with an existing --environment ID.
  • A null environmentId in the spawn response can mean the worktree is still being created.

Task Brief

Preserve the user's scope

  • Write a focused assignment preserving intent, constraints, and corrections. Never invent requirements, deliverables, permissions, or approval.
  • Model, machine, repository, and thread placement guide the launcher. Give each worker only its task and necessary context.
  • Before sending, remove copied conversation, launcher instructions, and unrelated assignments. Never prepend the full user prompt; quote exact wording only when explicitly requested.

The worker does not see this conversation. State the objective, constraints, relevant skills/files, deliverable, validation, and expected report. Name the skills it must read rather than assuming your context carries over.

For read-only jobs, explicitly say no code changes, no Git writes, no database writes. For implementation, specify the allowed scope and any Git or production restrictions. Ask for a concise report, including changed files and validation when relevant.

Verify and Report

bash
scripts/permission-mode.sh <child-thread-id>

Confirm the child received the requested mode. If it differs or is unknown, report the mismatch rather than claiming a successful setup.

Report the thread ID, title, project, provider/model/reasoning/tier, worktree yes/no, and read-only versus implementation scope. Then stop. Do not dump the prompt, open/focus the thread, poll, wait, or read work logs unless the user asks.

Blocked Workers and Lifecycle

If bb reports a blocker, inspect it with bb thread interactions list <id> --json. Resolve routine input within the brief, and approve an action with bb thread interactions approve <interactionId> <id> only when it is authorized and safe. Ask the user about destructive actions, production access, unclear decisions, or work outside the brief. Do not monitor just to look for blockers.

Use bb-cli for lifecycle commands. Archive only when the user asks, then stop the thread to release its runtime. Never delete without an explicit request, and do not use hiding as a substitute for archiving.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nagent AI skill do?

Launch a new bb worker thread with the right project, model, worktree, and task brief. Use for nagent, launching a bb session, or a standalone bb agent. Covers thread creation; use bb-cli for managing existing threads.

Why use Nagent on TypingMind?

Because you install it once and use it with any model. Nagent is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nagent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davidondrej/skills/tree/main/skills/agent-orchestration/nagent. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nagent?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nagent?

As many as you like. As long as a model supports skills, you can use Nagent with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nagent AI skill free?

Yes. It is published on GitHub by davidondrej under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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