* Add standardized template for custom agent creation
New file: references/agent-template.md
This is a reference document that the Architect reads when generating
custom agents. It defines the exact structure every agent must follow:
YAML frontmatter format, required sections (Language, User Profile,
Inter-Agent Coordination, Core Responsibilities, Operational Rules),
placeholder tokens, and inline conventions (naming rules, tool
permissions, multilingual triggers).
The template is not an agent itself. It is a structural guide that
ensures custom agents are generated with the same quality and
consistency as the core 8.
* Add custom agent support to orchestration references
agents-registry.md:
- Added "Custom Agents" section with rules for how custom agents
are added to the registry (naming, priority, creation flow)
- Custom agents always have lower priority than core 8
- Names must be lowercase with hyphens, no conflicts with core names
agents.md:
- Added "Custom Agents" section explaining what they are, how they
coordinate with core agents, and how to create/edit/remove them
agent-orchestration.md:
- Added "Suggested new agent" signal format so agents can flag when
the user needs functionality that no existing agent provides
- Added step in Dispatcher Decision Logic to check for this signal
- Added "Custom Agent Lifecycle" section covering creation, discovery,
routing, chaining, maintenance, and deletion
* Add "Suggested new agent" capability to all 7 non-architect agents
Each agent now has a "When to suggest a new agent" subsection inside
its Inter-Agent Coordination block. When an agent detects that the
user needs functionality that no existing agent can handle, it
outputs a "Suggested new agent" section with:
- Need: what capability is missing
- Reason: why no existing agent covers it
- Suggested role: what the new agent would do
The dispatcher reads this and asks the user if they want the
Architect to create a custom agent for the detected need.
Agents are also told when NOT to suggest a new agent (existing
agent can handle it, one-off task, outside vault scope).
* Add full custom agent creation flow to the Architect
The Architect can now create, edit, and remove custom agents through
an extended conversational flow with the user.
Changes to the frontmatter:
- Added trigger phrases for custom agent creation in 6 languages
("create a new agent", "custom agent", "crea un nuovo agente", etc.)
New section "Custom Agent Creation" with:
- 5-phase conversation flow (Understanding, Capabilities, Output,
Advanced, Confirmation) where the Architect asks one question at
a time and adapts follow-ups based on user answers
- Agent file generation following references/agent-template.md
- Automatic updates to agents-registry.md and agents.md
- Management commands: edit, remove, list custom agents
- Validation rules: no name conflicts with core 8, minimal tool
permissions by default, mandatory coordination sections
- Quality standards: Core Responsibilities must be detailed enough
to produce a production-quality agent
Also added the "Suggested new agent" subsection (same as other agents).
* Update dispatcher routing to support custom agents
- Changed "The ONLY agents you may use are these 8" to acknowledge
that custom agents created by the Architect are also valid
- Added row 9+ to the routing priority table for custom agents
(always lower priority than core 8)
- Added section 9 "CUSTOM AGENTS" with routing logic: when no core
agent matches, check agents-registry.md for custom agents
- Added check for "Suggested new agent" signals in the multi-agent
routing decision flow (step 6)
* Add custom agents to README, CONTRIBUTING, and TERMS_OF_USE
README.md:
- Badge changed from "8 Agents" to "8+ Agents"
- Added custom agents as point 4 of "What makes this different",
positioned right after the main pitch for maximum visibility
- Includes a table of real-life scenarios (budget tracking, journaling,
paper reading, project monitoring, client deadline management)
- Links to Terms of Use for the responsibility disclaimer
CONTRIBUTING.md:
- Renamed "Propose a new crew member" to "Propose a new core crew
member" with a note that users can create custom agents via Architect
- Added "Custom agents vs. core agents" section explaining the
distinction between personal custom agents and project-shipped
core agents
TERMS_OF_USE.md:
- Added new Section 9 "Custom Agents" with full disclaimer: custom
agents are entirely the user's creation and responsibility, no
warranty on their behavior, author accepts no liability
- Updated Section 7 (Limitation of Liability) to reference custom
agents explicitly
- Renumbered sections 9-11 to 10-12
* Force the Architect to always run the full conversation before creating a custom agent
The Architect was generating custom agents immediately from a single
user message instead of going through the 5-phase conversation flow.
Added explicit blocking instructions at three points:
- Section intro: "NEVER create an agent in one shot"
- Before the conversation phases: "Do NOT generate the agent
immediately, even if the request seems clear"
- Explicit rule: "You are NOT allowed to create the agent file
until Phase 5"
- Reinforced one-question-per-message rule
* Force custom agent descriptions to use only the user's language
The Architect was copying the multilingual pattern from core agents
and adding translations in 6+ languages to custom agent descriptions.
Custom agents should have their description and trigger phrases
written exclusively in the language the user speaks. Reinforced
this rule in both the generation instructions and the validation
rules section.
* Force custom agent body to always be written in English
The frontmatter description uses the user's language (for trigger
matching), but the agent body (system prompt) must always be in
English for better LLM instruction-following performance. The agent
still responds in the user's language at runtime thanks to the
language matching rule.
* Add confirmation prompt before overwriting existing installation
launchme.sh:
- Detects if .claude/ or CLAUDE.md already exist in the vault
- Shows the user what will be overwritten
- Asks for explicit confirmation before proceeding
- Clarifies that custom agents and vault notes are never touched
updateme.sh:
- Asks for confirmation before overwriting core files
- Same clarification about custom agents being preserved
* Deprecate removed files instead of leaving orphans in the vault
When a file is removed from the repo (agents, references, or skills),
the updater now renames it with a "-DEPRECATED" suffix and prepends
a "DEPRECATED DO NOT USE" header instead of silently leaving it.
updateme.sh:
- Core agents in .claude/agents/ that no longer exist in the repo
get renamed to {name}-DEPRECATED.md with deprecation header
(custom agents are never touched)
- References in .claude/references/ that no longer exist in the repo
get the same treatment
- The entire .claude/skills/ directory (removed from the project)
gets renamed to .claude/skills-DEPRECATED/ with deprecation headers
on each SKILL.md
- Summary now reports deprecated file count
launchme.sh:
- Added confirmation prompt before overwriting existing installation
- Skills generation and copying kept intact (generate-skills.py runs
first, then copies to .claude/skills/)
* Add first-run setup section to custom agent template and creation flow
Custom agents now have a "First Run Setup" section that defines what
the agent must do the very first time it is invoked: what questions
to ask the user, what config files or folders to create, and how to
detect that it has already been set up.
agent-template.md:
- New "First Run Setup" section between Core Responsibilities and
Operational Rules, with subsections for detection, questions to
ask, what to create, and post-setup behavior
architect.md:
- New Phase 4 "First Run Setup" in the conversational flow where
the Architect asks the user what the agent should do on first run
- Previous Phase 4 (Advanced) becomes Phase 5
- Previous Phase 5 (Confirmation) becomes Phase 6
- Updated blocking rules to reference Phase 6
* Redesign README header and broaden legal disclaimers for custom agents
Improve README header visual hierarchy: centered title, prominent Discord
CTA, metadata badges moved to secondary row. Replace two custom agent
examples with funnier, gender-neutral ones. Rewrite TERMS_OF_USE Section 3
from "Health and Wellness Agents" to "Custom Agents and Advice-Generating
Output" covering health, legal, financial, and all regulated domains.
* Fix reference paths in architect to use .claude/references/ prefix
The agent runs inside the vault where references live under
.claude/references/, not under references/ (which is the repo layout).
* Fix reference paths in agent-template to use .claude/references/ prefix
* Add core-manifest to protect custom agents from deprecation
launchme.sh and updateme.sh now write .core-manifest listing which agent
files were installed as core. The deprecation loop checks this manifest
before touching any file, so custom agents are never deprecated.
* Skip agent deprecation if target DEPRECATED file already exists
* Include skill count in updateme.sh summary condition and message
* Fix agents-registry.md paths in CLAUDE.md to use .claude/references/ prefix
* Add edit/remove/list trigger phrases to custom agent routing
* Deprecate stale core agents on reinstall before copying new ones
On reinstall (EXISTING=1), read the old .core-manifest and deprecate
any agent that is no longer shipped in the repo, before writing the
new manifest. Prevents stale core agents from lingering in the vault.
* Fix custom agent description: triggers are in user's language, not multilingual
* Fix updateme.sh: deprecate stale agents before rewriting manifest
The manifest was being truncated and rewritten before the deprecation
loop ran, so removed core agents were no longer in the manifest and
got skipped as "custom". Now: read old manifest -> deprecate -> copy
new agents -> rewrite manifest.
* Fix grep exit code handling when removing last entry from manifest
* Fix nested fenced code blocks in agent-template using tildes
* Add core-manifest for references to protect user-created reference docs
Same pattern as agents: launchme/updateme write a .core-manifest in
.claude/references/ listing installed core files. The deprecation loop
only touches files in the manifest, leaving user-created references
untouched.
* Move deprecated files to .claude/deprecated/ to prevent auto-discovery
Deprecated agents kept in .claude/agents/ could still be auto-discovered
by Claude Code via their frontmatter. Moving them to .claude/deprecated/
ensures they are completely invisible to the dispatcher while still
preserved for user reference.
* Harden updateme.sh from Copilot review feedback
Address multiple issues raised during PR code review:
- Skip deprecation entirely when .core-manifest is missing, preventing
accidental deprecation of custom agents/references on first update
- Preserve user's "## Custom Agents" sections in agents-registry.md and
agents.md during reference updates (merge strategy instead of overwrite)
- Update confirmation message to accurately reflect what is preserved
* Preserve custom agent content during install and update
- launchme.sh: skip overwriting agents-registry.md and agents.md on
reinstall to preserve custom agent entries
- updateme.sh: extract and re-insert custom table rows from the
registry table plus custom sections, preventing data loss when
updating from upstream
- Require manifest before deprecating to avoid false positives
* Update wardrobe-coach example phrase in README
* Use robust string matching and printf for user-mutable refs
- Replace grep -qw with bash substring match for filename detection
- Replace echo with printf '%s\n' to prevent content mangling
* Enforce step-by-step conversation in Architect and fix registry row reinsertion
- Add HARD CONSTRAINT blocks to both onboarding and custom agent creation
flows, forcing the use of AskUserQuestion for each question to prevent
the Architect from skipping phases or bundling questions
- Replace hard-coded "| postman |" match in updateme.sh with generic
last-table-row detection to avoid breaking custom row reinsertion if
core agents are renamed or reordered
* Improve input handling in launchme.sh and updateme.sh for non-interactive shells
* Extract 13 skills from agents and update full documentation
Architecture change: complex multi-step flows (onboarding, email triage,
transcription, etc.) are now skills that run in the main conversation
context instead of agent subprocesses. This fixes the state/context loss
that caused agents to skip phases during multi-turn conversations.
Skills created (13):
- Architect: /onboarding, /create-agent, /manage-agent, /defrag
- Postman: /email-triage, /meeting-prep, /weekly-agenda, /deadline-radar
- Transcriber: /transcribe
- Librarian: /vault-audit, /deep-clean, /tag-garden
- Sorter: /inbox-triage
Agent changes:
- architect.md: -70% (1554 → 473 lines)
- transcriber.md: -72% (530 → 147 lines)
- postman.md: -42%, librarian.md: -37%, sorter.md: -11%
- All agents: explicit post-it create-if-not-exists
Scripts:
- launchme.sh/updateme.sh: copy skills/ directly, remove generate-skills.py
Docs updated:
- README.md: new Skills section, mermaid diagrams, routing
- getting-started.md, examples.md: skill references
- docs/agents/*.md: capability tables with skill vs agent routing
- references/agents.md, agent-orchestration.md, agents-registry.md,
agent-template.md: skill registry, skill-first routing protocol
8.7 KiB
Agent Orchestration Protocol
This document defines how agents coordinate through the dispatcher (CLAUDE.md). Agents do NOT communicate directly with each other — the dispatcher handles all routing and chaining.
Overview
The dispatcher is a reactive multi-router with skill-first routing:
- User sends a message → dispatcher checks the skill routing table first
- Skill match found? → invoke the skill via the Skill tool and respond to user
- No skill match? → dispatcher picks the best agent by priority
- Agent executes → returns output to the dispatcher
- Dispatcher reads the output → decides if another agent should be chained
- Repeat until done or max depth reached
Agents help the dispatcher by including suggestions in their output when they detect work for other agents.
Skill-First Routing
Skills are checked before agents. They handle complex, multi-step workflows that were extracted from agents for better performance.
How it works
- The dispatcher maintains a skill routing table (defined in
CLAUDE.md) with trigger phrases in multiple languages. - If a user message matches a skill trigger, the skill is invoked via the Skill tool (not the Agent tool). The dispatcher does NOT also invoke the source agent.
- Skills run in the main conversation context, preserving multi-turn state. This is different from agents, which run as subprocesses.
- If no skill matches, the dispatcher falls through to the agent routing table.
Skill-to-agent chaining
Skills can still produce output that triggers agent chaining:
- A skill may include
### Suggested next agentin its output (e.g.,/onboardingmay suggest Connector to link newly created notes). - The dispatcher reads this output and applies the same chaining rules as for agents (check registry, check call chain, max depth 3).
- Skills count as step 1 in the call chain when they produce agent suggestions.
List of skills
See .claude/references/agents.md (Skills section) for the full table of skills, their source agents, and purposes.
How Agents Signal the Dispatcher
When an agent detects work that another agent should handle, it includes a section at the end of its output:
### Suggested next agent
- **Agent**: {name from agents-registry.md}
- **Reason**: {what needs to be done and why}
- **Context**: {relevant details the next agent would need — note titles, folder paths, specific issues}
Multiple suggestions are allowed — list them all. The dispatcher prioritizes and decides which (if any) to invoke.
Examples
### Suggested next agent
- **Agent**: architect
- **Reason**: No area exists for "Personal Finance" — 3 notes were placed in Inbox as fallback
- **Context**: Notes: "Monthly Budget March.md", "Savings Goals.md", "Expense Tracking.md". Suggest creating 02-Areas/Personal Finance/ with sub-folders and MOC.
### Suggested next agent
- **Agent**: connector
- **Reason**: 5 recently filed notes about "Machine Learning" have no cross-links
- **Context**: Notes in 03-Resources/Technology/ML/. They reference shared concepts (gradient descent, neural networks) but have zero wikilinks between them.
### Suggested next agent
- **Agent**: architect
- **Reason**: MOC for Machine Learning is missing
- **Context**: There are now 8 notes under this topic but no MOC in MOC/ folder.
Suggesting a New Agent
When an agent detects that the user needs functionality that no existing agent provides, it can suggest creating a new custom agent:
### Suggested new agent
- **Need**: {what capability is missing}
- **Reason**: {why no existing agent can handle this}
- **Suggested role**: {brief description of what the new agent would do}
The dispatcher reads this and may invoke the Architect to start the custom agent creation flow. This is NOT automatic. The dispatcher should confirm with the user first:
"The [agent] noticed you might benefit from a custom agent for [need]. Would you like me to create one?"
Dispatcher Decision Logic
After each agent returns, the dispatcher:
- Reads the output — looks for
### Suggested next agentsections - Consults
agents-registry.md— validates the suggested agent exists and isactive - Checks the call chain — is this agent already in the chain? Is max depth reached?
- Checks for
### Suggested new agent-- if present, asks the user if they want the Architect to create a custom agent - Decides: invoke next agent OR return results to user
The dispatcher can also chain agents without an explicit suggestion if the output clearly matches another agent's capabilities (e.g., notes created → Sorter might be needed).
Call Chain Tracking
Every user request has a call chain — the ordered list of agents invoked so far.
Rules
- Start: chain is empty
[] - After each agent returns: append its name to the chain (the chain always lists agents already invoked, in order)
- Pass the chain: when invoking the next agent, tell it the chain and its position —
"Call chain so far: [scribe, architect]. You are step 3 of max 3." - No duplicates: never invoke the same agent twice in one chain
- No circular patterns: if Agent A suggests Agent B and B is already in the chain, skip
- Max depth: 3: no more than 3 agents per user request
- On overflow: return results to user with a note about what was deferred
What Happens at Max Depth
If the dispatcher would need a 4th agent, it:
- Returns the current results to the user
- Includes a summary of what was deferred: "The Connector also detected 5 orphan notes that need linking — you can say 'connect the notes' to handle that."
Custom Agent Lifecycle
Custom agents are created by the Architect and stored in .claude/agents/. They participate fully in the orchestration system:
- Creation: the Architect creates the agent file, adds a row to
agents-registry.md, and updatesagents.md - Discovery: Claude Code auto-discovers the agent from its frontmatter in
.claude/agents/ - Routing: the dispatcher checks
agents-registry.mdfor custom agents when no core agent matches - Chaining: custom agents can suggest (and be suggested by) any other agent, following the same protocol
- Maintenance: the Librarian audits custom agents during vault health checks. For every row in agents-registry.md with status=active, the corresponding file must exist in
.claude/agents/ - Deletion: only the Architect can remove a custom agent (with user confirmation). The agent file is deleted, and the registry row is set to
disabled
What Agents Should NOT Do
- ❌ Do NOT reference
Meta/agent-messages.md— the shared message board is deprecated - ❌ Do NOT edit other agents' prompt/config files (e.g.,
.claude/agents/*.md) — normal vault notes/MOC edits are still allowed per your responsibilities; all coordination goes through the dispatcher - ❌ Do NOT block waiting for another agent — finish your task and suggest next steps in your output
- ❌ Do NOT call other agents — only the dispatcher invokes agents
Migration from Legacy System
If a vault still has the old Meta/agent-messages.md file:
- The Librarian will rename it to
Meta/agent-messages-DEPRECATED.mdduring maintenance - Agents should ignore this file entirely — all coordination now flows through the dispatcher
Agent State (Post-it Protocol)
Every agent has a personal post-it file at Meta/states/{agent-name}.md. This provides continuity between executions.
Rules
- One file per agent — named after the agent (e.g.,
Meta/states/scribe.md) - Always written — every agent writes its post-it at the end of every execution, no exceptions
- Overwrites previous — each execution replaces the previous post-it (it is not a log)
- Max 30 lines — agents must keep the body under 30 lines to prevent bloat
- Read at start — agents read their post-it at the start of execution for context
- Private — the dispatcher does not read or write agent post-its. Only the owning agent touches its own file
- Multi-step flows — agents that run multi-step conversations (e.g., Architect onboarding) use the post-it to track their current phase and collected answers, so they can resume on re-invocation
Format
---
agent: {agent-name}
last-run: "YYYY-MM-DDTHH:MM:SS"
---
## Post-it
[Agent's notes — max 30 lines]
Reference Files
- Agent registry:
.claude/references/agents-registry.md— the single source of truth for all agents - Agent directory:
.claude/references/agents.md— detailed descriptions of each agent's responsibilities