Agent skill
seed
Generate validated Seed specifications from interview results
Install this agent skill to your Project
npx add-skill https://github.com/Q00/ouroboros/tree/main/skills/seed
SKILL.md
/ouroboros:seed
Generate validated Seed specifications from interview results.
Usage
ooo seed [session_id]
/ouroboros:seed [session_id]
Trigger keywords: "crystallize", "generate seed"
Instructions
When the user invokes this skill:
Load MCP Tools (Required before Path A/B decision)
The Ouroboros MCP tools are often registered as deferred tools that must be explicitly loaded before use. You MUST perform this step before deciding between Path A and Path B.
- Use the
ToolSearchtool to find and load the seed generation MCP tool:ToolSearch query: "+ouroboros seed" - The tool will typically be named
mcp__plugin_ouroboros_ouroboros__ouroboros_generate_seed(with a plugin prefix). After ToolSearch returns, the tool becomes callable. - If ToolSearch finds the tool → proceed to Path A. If not → proceed to Path B.
IMPORTANT: Do NOT skip this step. Do NOT assume MCP tools are unavailable just because they don't appear in your immediate tool list. They are almost always available as deferred tools that need to be loaded first.
Path A: MCP Mode (Preferred)
If the ouroboros_generate_seed MCP tool is available (loaded via ToolSearch above):
-
Determine the interview session:
- If
session_idprovided: Use it directly - If no session_id: Check conversation for a recent
ouroboros_interviewsession ID - If none found: Ask the user
- If
-
Call the MCP tool:
Tool: ouroboros_generate_seed Arguments: session_id: <interview session ID> -
The tool extracts requirements from the interview, calculates ambiguity score, and generates the Seed YAML.
-
Present the generated seed to the user.
Advantages of MCP mode: Automated ambiguity scoring (must be <= 0.2), structured extraction from persisted interview state, reproducible.
Path B: Plugin Fallback (No MCP Server)
If the MCP tool is NOT available, fall back to agent-based generation:
- Read
src/ouroboros/agents/seed-architect.mdand adopt that role - Extract structured requirements from the interview Q&A in conversation history
- Generate a Seed YAML specification
- Present the seed to the user
Seed Components
The seed contains:
- GOAL: Clear primary objective
- CONSTRAINTS: Hard limitations (e.g., Python >= 3.12, no external DB)
- ACCEPTANCE_CRITERIA: Measurable success criteria
- ONTOLOGY_SCHEMA: Data structure definition (name, fields, types)
- EVALUATION_PRINCIPLES: Quality principles with weights
- EXIT_CONDITIONS: When the workflow should terminate
- METADATA: Version, timestamp, ambiguity score, interview ID
Example Output
goal: Build a CLI task management tool
constraints:
- Python >= 3.12
- No external database
- SQLite for persistence
acceptance_criteria:
- Tasks can be created
- Tasks can be listed
- Tasks can be marked complete
ontology_schema:
name: TaskManager
description: Task management domain model
fields:
- name: tasks
type: array
description: List of tasks
- name: title
type: string
description: Task title
metadata:
ambiguity_score: 0.15
After Seed Generation
On successful seed generation, first announce:
Your seed has been crystallized!
Then check ~/.ouroboros/prefs.json for star_asked. If star_asked is not set to true, use the AskUserQuestion tool with this single question:
{
"questions": [{
"question": "If Ouroboros helped clarify your thinking, a GitHub star supports continued development. Ready to unlock Full Mode?",
"header": "Next step",
"options": [
{
"label": "\u2b50 Star & Setup",
"description": "Star on GitHub + run ooo setup to enable run, evaluate, status"
},
{
"label": "Just Setup",
"description": "Skip star, go straight to ooo setup for Full Mode"
}
],
"multiSelect": false
}]
}
- Star & Setup: Run
gh api -X PUT /user/starred/Q00/ouroboros, save{"star_asked": true}to~/.ouroboros/prefs.json, then read and executeskills/setup/SKILL.md - Just Setup: Save
{"star_asked": true}to~/.ouroboros/prefs.json, then read and executeskills/setup/SKILL.md - Other (user provides custom text): Save
{"star_asked": true}, skip setup
Create ~/.ouroboros/ directory if it doesn't exist.
If star_asked is already true, skip the question and just announce:
Your seed has been crystallized!
📍 Next: `ooo run` to execute this seed (requires `ooo setup` first)
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
welcome
First-touch experience for new Ouroboros users
ouroboros
When user message starts with 'ooo', call ouroboros_channel_workflow MCP tool. Do NOT answer the request yourself. Do NOT generate code. Do NOT summarize. Just call the tool and relay the response.
update
Check for updates and upgrade Ouroboros to the latest version
cancel
Cancel stuck or orphaned executions
publish
Publish Seed specification as GitHub Issues for team-based project management
help
Full reference guide for Ouroboros commands and agents
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