Sprint 53a: Skills Loop + Executive Templates
- skills/skills.md: Root catalog/index of all skill guides - skills/guides/PAETemplateGuide.md: How to write PAE-Lang YAML (distilled) - skills/guides/PAEAgentGuide.md: agent.yml + identity.md schemas - skills/guides/CorporateCharterGuide.md: Charter design reference - templates/hire_agent.yml: CEO-authored agent provisioning with PAEAgentGuide injection - templates/write_template.yml: CEO-authored template design with PAETemplateGuide injection - templates/planning.yml: CL-specific boardroom→serialize→dispatch planning - templates/boardroom.yml: CL-specific executive deliberation to consensus Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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skills/guides/PAETemplateGuide.md
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skills/guides/PAETemplateGuide.md
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# PAE-Lang Template Reference — Skills Guide
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This document is injected into your prompt when you are writing or modifying
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PAE YAML templates. Everything below is authoritative — follow it exactly.
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---
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## What You Write Is What the LLM Receives
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There are no hidden defaults. If you omit `system:`, the system message is empty.
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If you omit a section key, that context is not injected. Be explicit.
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---
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## Top-Level Template Keys
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| Key | Required | Purpose |
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|-----|----------|---------|
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| `name` | yes | Must match the filename without `.yml` |
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| `description` | no | Human summary, appears in template catalog |
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| `debug` | no | `true` = commit full tasklog to tasklogs/ |
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| `system` | no | Sets `role:system`. Options: `agent_prompt`, a builder name, or a literal string |
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| `model` | no | Template-level model override: `fast`, `default`, `power`, `gemini`, `grok` |
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| `requires` | no | List of `context_vars` keys that must be present before step 0 |
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| `agent_prompt` | no | Files assembled into agent identity. `[]` = empty identity |
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| `participant_prompt` | no | Same as agent_prompt but for boardroom participants |
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| `builders` | no | Named inline content blocks with `{variable}` interpolation |
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| `sections` | no | Ordered list of section keys for `role:user`. Default: `[project, history, rag, message, instructions]` |
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| `skills` | no | List of skill file paths fetched from `pae/{company}/skills/` and injected as `*** SKILLS & GUIDES ***` |
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| `steps` | yes | List of execution steps. At least 1 required |
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| `adjudication` | no | Quality gate configuration |
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### system: Options
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- `system: agent_prompt` — assemble from `agent_prompt:` file list
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- `system: my_builder` — use a named builder (interpolated)
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- `system: "literal text"` — verbatim string
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- absent — system message is empty
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### agent_prompt: Patterns
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```yaml
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# Full identity + RAG
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agent_prompt:
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- "= identity.md"
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- "agent.rag.json"
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# Lean identity (1-2 sentences)
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agent_prompt:
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- system.md
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```
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When using `system.md` (lean), remove `agent` from `sections:` to avoid duplication.
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---
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## Section Keys
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Sections are injected into `role:user` in the order declared. Available keys:
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| Key | Prompt Block Title | When to Include |
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|-----|-------------------|-----------------|
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| `scene` | `*** LOCATION CONTEXT ***` | Boardroom/narrative framing |
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| `agent` | `*** CHAIR ***` | Agent needs self-awareness |
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| `project` | `*** PROJECT DESCRIPTION ***` | Almost always |
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| `history` | `*** CONVERSATION HISTORY ***` | Prior context needed |
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| `rag` | `*** CONTEXT FROM RAG DATABASES ***` | Project knowledge needed |
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| `roster` | `*** TEAM ROSTER ***` | Planning, intake, assignment |
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| `templates` | `*** AVAILABLE TASK TEMPLATES ***` | Planning, classification |
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| `participants` | `*** PARTICIPANTS ***` | Multi-agent tasks |
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| `participants_prompt` | `*** PARTICIPANT IDENTITIES ***` | Boardroom |
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| `sender_identity` | `*** SENDER IDENTITY ***` | Personalizing replies |
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| `pending_human_tasks` | `*** YOUR PENDING HUMAN TASKS ***` | Human-action resolution |
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| `skills` | `*** SKILLS & GUIDES ***` | Template declares `skills:` array |
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| `message` | `*** CURRENT MESSAGE ***` | Always |
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| `instructions` | `*** RESPONSE SPECIFICATIONS ***` | Almost always, place last |
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| `rejection_feedback` | `*** PREVIOUS ATTEMPT FEEDBACK ***` | Retry/adjudication loops |
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| `deliverables` | `*** PROJECT DELIVERABLES ***` | Prior work context |
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| *builder name* | `*** BUILDER NAME ***` | Custom inline content |
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**Order matters.** Put `message` near end. Put `instructions` last.
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---
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## Step Types
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### think — LLM call
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```yaml
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- type: think
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hint: "Instruction appended to user message."
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model: power # step-level override
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agent: assigned # assigned | "Agent Name" | first_available
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scene: "Narrative frame."
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rotate_participants: false
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loop:
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max_iterations: 3 # boardroom consensus loop
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```
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Boardroom behavior = `loop: {max_iterations: N}` + `rotate_participants: true`.
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Consensus detected when output contains `"consensus_reached: true"`.
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### package — Format output as typed JSON
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```yaml
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- type: package
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packet_type: IntakeResponse
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schema:
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actions:
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- type: create_task
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task_name: "string"
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agent_name: "string"
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hint: "Extra instruction for the Scribe LLM"
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insert_children: true # read result.tasks and create child tasks
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```
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### document — Write deliverable to Gitea
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```yaml
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- type: document
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filename: report-name # saved as {filename}-{task-id}.md
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```
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### spawn — Create child task
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```yaml
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- type: spawn
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task_type: template_name
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task_name: "Child task name"
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agent: AgentName
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wait: false # true = suspend parent until child completes
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```
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### reply — Send text reply
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```yaml
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- type: reply
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style: "Formal and direct."
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target: strategy
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```
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### close — Mark task complete (always last)
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```yaml
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- type: close
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rag_update: true # true = embed output into project RAG
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```
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---
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## Action Types (package step output)
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These are emitted by a `package` step and dispatched by the intake dispatcher:
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| Action | Purpose | Required Fields |
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|--------|---------|-----------------|
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| `create_task` | Create new task | `task_name`, `agent_name` or `agents` |
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| `hire_agent` | Provision new agent | `agent_name`, `role`, `agent_yml`, `identity_md`, `system_md` |
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| `write_template` | Create/update template | `company_slug`, `template_name`, `template_yaml` |
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| `create_company` | Incubate new Tenant | `company_slug`, `company_name`, `charter`, `ceo_seed` |
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| `delegate` | Assign by capability | `task_name`, `capability` |
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| `request_service` | B2B delegation | `provider_company`, `service_name`, `message` |
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| `request_tool` | HITL tool request | `tool_name`, `reason` |
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---
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## Variable Interpolation
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Available in `builders:`, `system:`, and step `hint:` fields:
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| Variable | Value |
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|----------|-------|
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| `{agent.name}` | Agent's name |
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| `{agent.role}` | Agent's role/title |
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| `{agent.identity}` | Full identity block |
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| `{project.name}` | Project name |
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| `{project.description}` | Project description |
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| `{task.id}` | Task UUID |
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| `{task.message}` | Task message |
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| `{task.iteration}` | Loop iteration (0-based) |
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| `{steps[N].text}` | Text output of step N (valid from step N+1 onward) |
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Unknown variables are left as-is — no crash.
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---
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## The Iron Rule
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**NEVER mix thinking and formatting in the same LLM step.**
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- A `think` step reasons freely — prose, analysis, debate.
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- A `package` step serializes ONLY — zero new thinking, just structured output.
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If a template needs the LLM to reason AND produce structured JSON, use two steps:
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1. `think` — reason about the problem
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2. `package` — serialize the decisions into JSON
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---
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## Template Patterns
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### Standard Production Template
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```yaml
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name: my_task
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description: "What this template does."
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system: agent_prompt
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agent_prompt:
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- "= identity.md"
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sections:
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- project
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- history
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- rag
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- message
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- instructions
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steps:
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- type: think
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hint: |
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[Detailed instruction for the agent.]
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- type: document
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filename: output-name
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- type: close
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rag_update: true
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```
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### Planning Template (boardroom → serialize → dispatch)
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```yaml
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name: my_planning
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description: "Deliberation then child task dispatch."
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system: agent_prompt
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agent_prompt:
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- "= identity.md"
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participant_prompt:
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- "= identity.md"
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sections:
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- agent
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- project
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- history
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- rag
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- participants
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- participants_prompt
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- roster
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- templates
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- message
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- instructions
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steps:
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- type: think
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rotate_participants: true
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loop:
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max_iterations: 3
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hint: |
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Deliberate on the plan. Include "consensus_reached: true" when agreed.
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- type: think
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agent: first_available
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hint: |
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Serialize the agreed plan into task records. Do NOT re-deliberate.
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- type: package
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packet_type: PlanningResponsePacket
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schema:
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tasks:
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- task_name: "string"
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description: "string"
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agents: ["string"]
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task_type: "string"
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priority: "integer 1-5"
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insert_children: true
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- type: close
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rag_update: false
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adjudication:
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enabled: false
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```
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### Boardroom Template (deliberation only)
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```yaml
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name: boardroom_topic
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description: "Multi-agent deliberation to consensus."
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system: agent_prompt
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participant_prompt:
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- "= identity.md"
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sections:
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- agent
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- project
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- participants
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- participants_prompt
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- message
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- instructions
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steps:
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- type: think
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rotate_participants: true
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loop:
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max_iterations: 3
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hint: |
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Debate the topic. Include "consensus_reached: true" when genuinely agreed.
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- type: think
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agent: first_available
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hint: |
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Synthesize the boardroom transcript into a clear recommendation.
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- type: close
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rag_update: false
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adjudication:
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enabled: false
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```
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---
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## Adjudication Configuration
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```yaml
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adjudication:
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enabled: true
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pass_threshold: 80 # score below this = retry
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deliverable_type: consumer # consumer | coordination
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criteria:
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quality:
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weight: 50
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description: "Output meets professional standards"
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adherence:
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weight: 50
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description: "Follows the project brief"
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```
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- `consumer` — final human-facing content
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- `coordination` — internal working documents
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- Criteria weights must sum to 100
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- Charter compliance is automatically enforced during adjudication
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---
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## Constraints
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1. `name:` must match the filename (`my_template.yml` → `name: my_template`)
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2. `steps:` is required — every template needs at least one step
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3. `close` must be the last step
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4. `system:` is opt-in — absent means empty system message
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5. `agent_prompt: []` means empty — not the same as absent
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6. `{steps[N].text}` is only valid from step N+1 onward
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7. `process_ledger` is AR-only — only valid in `Adjudication.yml`
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8. `requires:` validates before step 0 — missing vars fail the task immediately
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