| 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
