seed-curator

name	seed-curator
description	Seed lifecycle management: plant new seeds from experiences, harvest insights from sessions, search the seed library, and elevate proven seeds to skills.
triggers	["manage seeds","curate seeds","harvest seed","plant seed","seed health","elevate seed"]
version	1.0.0
model	sonnet

Seed Curator

Manages the full seed lifecycle — from planting raw patterns through harvesting session insights to elevating proven seeds into reusable skills.

Workflow

1. MODE

Determine the operation from user intent:

• plant — Extract a new seed from a specific experience or insight
• harvest — Scan a recent session for candidate seeds
• search — Find seeds relevant to a current situation
• elevate — Promote a proven seed to a full SKILL.md
• audit — Check seed library health

2. PLANT (when mode = plant)

Extract a reusable pattern:

• Name: Short, memorable, hyphenated (e.g., compilation-as-contract)
• Source: Where this pattern was observed (session, project, incident)
• Confidence: 0.0-1.0 based on how many times it's been validated
• Tags: 3-5 categorization tags
• Pattern: What the seed captures — the reusable insight
• When to use: Situations where this seed applies
• Example: Concrete instance of the pattern in action
• Counter-example: When this pattern does NOT apply Write as YAML-fronted markdown file.

3. HARVEST (when mode = harvest)

Scan the current or recent session for seed candidates:

• Corrections received from the user (feedback → pattern)
• Approaches that worked unexpectedly well (success → pattern)
• Non-obvious decisions that required investigation (discovery → pattern)
• Friction points that were resolved (obstacle → pattern) Present candidates to user for confirmation before writing files.

4. SEARCH (when mode = search)

Given a situation description, score all seeds by relevance:

• Tag match (exact tag = 3 points, partial = 1)
• Description keyword overlap (each matching word = 1 point)
• Confidence weighting (score × confidence) Return ranked list with seed name, confidence, and one-line relevance explanation.

5. ELEVATE (when mode = elevate)

For seeds meeting promotion criteria:

• Confidence ≥ 0.8
• Applied 3+ times across different contexts
• No contradicting seeds in the library Generate a SKILL.md draft following the skill-creation skill's format:
• YAML frontmatter with name, description, triggers, version
• Structured workflow steps derived from the seed's pattern
• Anti-patterns derived from the seed's counter-examples

6. AUDIT (when mode = audit)

Check all seeds for:

• Stale references (files/functions that no longer exist)
• Low confidence + no recent use (candidates for archival)
• Contradictions between seeds (same situation, opposite advice)
• Missing fields (no counter-example, no tags, no confidence score) Produce audit report with recommendations.

7. OUTPUT

Produce the appropriate artifact based on mode:

• plant → seed file written to memory directory
• harvest → candidate list with user confirmation prompts
• search → ranked seed list
• elevate → SKILL.md draft for review
• audit → health report with action items