Agent skill
pattern-transfer
Discover structurally similar patterns across domains, assess transfer viability via structural invariant checking, and propose domain adaptations with risk gates. Activate when Discovery identifies a problem that may have been solved in another domain.
Install this agent skill to your Project
npx add-skill https://github.com/Fr-e-d/GAAI-framework/tree/main/.gaai/core/skills/cross/pattern-transfer
Metadata
Additional technical details for this skill
- id
- SKILL-CRS-027
- track
- cross-cutting
- author
- gaai-framework
- status
- experimental
- version
- 1.0
- category
- cross
- updated at
- 1773964800
SKILL.md
Pattern Transfer
Purpose / When to Activate
Activate when:
- The Discovery Agent identifies a problem that may have been solved in another domain
- A structural similarity is noticed between a known pattern and a new problem context
- A validated pattern could apply to a different domain (cross-pollination opportunity)
This skill performs explicit cross-domain pattern transfer using structural alignment checking. It does NOT create new patterns (that is post-mortem-learning + memory-ingest). It discovers, validates, and proposes the transfer of existing patterns to new domains.
Theoretical foundation: Gentner's Structure-Mapping Theory (1983) — analogical transfer succeeds when structural relationships (not surface features) are preserved across domains. Alexander's Pattern Language (1977) — patterns are reusable solutions with explicit applicability conditions and contraindications.
Status: This skill is dormant until 3+ patterns exist in different domains in the pattern catalog. With fewer patterns, the transfer search space is too small for meaningful cross-domain discovery.
Prerequisites
Before activating:
- The pattern catalog (
contexts/memory/patterns/) must contain at least 2 patterns withstructural_tagsin their frontmatter. - The target problem must be describable in structural terms (not just surface-level symptoms).
- The invoking agent must provide a
target_domainthat differs from the source pattern's domain.
If the pattern catalog has no tagged patterns, STOP and report: "Pattern catalog lacks structural tags — run pattern card retrofit before invoking pattern-transfer."
Process
Step 1 — Pattern Discovery
- Use
memory-search(Mode C: structural tag filtering) to find candidate patterns from domains OTHER thantarget_domain. - Match by structural characteristics:
- If
structural_tagsinput is provided: match patterns sharing at least 1 tag - If not provided: infer structural tags from the
target_problemdescription using the controlled vocabulary inreferences/structural-tags.md
- If
- Rank candidates by tag overlap count (more shared tags = higher rank).
- Budget: top 5 candidates maximum. If more than 5 match, take the top 5 by tag overlap.
- If zero candidates match: STOP and report "No structurally similar patterns found."
Step 2 — Structural Alignment Check
For each candidate pattern:
- Read the pattern card's
structural_invariantslist. - For each invariant, verify whether it holds in the target domain:
- PASS: The invariant clearly applies in the target domain (explain why).
- FAIL: The invariant does not hold or cannot be verified (explain why).
- Check the pattern's
contraindicationslist against the target domain context.- If any contraindication matches: mark the candidate as
contraindicated.
- If any contraindication matches: mark the candidate as
- Compute alignment score:
invariants_passed / invariants_total. - Filter out candidates where:
- Any structural invariant FAILS, OR
- Any contraindication matches
Step 3 — Domain Distance Assessment
For each surviving candidate, rate the structural distance between source and target domains:
| Distance | Criteria | Risk Level |
|---|---|---|
near |
Same industry, adjacent function (e.g., content-production → content-distribution) | Low |
medium |
Different industry, similar structure (e.g., content curation → data curation) | Moderate |
far |
Different industry, different function, structural match only (e.g., editorial curation → supply chain filtering) | High |
Record the distance rating with a one-sentence justification.
Step 4 — Transfer Proposal
For each viable candidate (passed Step 2 alignment, assessed in Step 3), produce:
## Transfer Proposal: {source pattern name} → {target domain}
### Source Pattern
- **Name:** {pattern name}
- **Domain:** {source domain}
- **Abstraction level:** {domain-specific | domain-portable | domain-agnostic}
- **Confidence:** {N/5}
### Structural Alignment
- **Invariants checked:** {N}
- **Invariants passed:** {N} (all must be N/N to reach this step)
- **Contraindications checked:** {N} — none triggered
### Domain Distance
- **Rating:** {near | medium | far}
- **Justification:** {one sentence}
### Required Adaptations
{What changes when moving from source domain to target domain. Be specific: which roles, which data types, which constraints differ.}
### What Stays Invariant
{The structural relationships that transfer directly without modification.}
### Risk Assessment
- **Risk level:** {low | medium | high}
- **Key risk:** {the single most likely failure mode}
- **Mitigation:** {how to detect or prevent the key risk}
### Recommendation
{transfer | adapt-then-transfer | too-distant-reject}
Step 5 — Risk Gate
Apply risk gates based on the combined assessment:
| Condition | Action |
|---|---|
| Confidence >= 3/5 AND distance = near | Proceed — agent can recommend transfer |
| Confidence >= 2/5 AND distance = medium | FLAG for human review — proceed only if approved |
| Distance = far OR contraindication triggered in a related domain | STOP and escalate — human must decide |
| Confidence < 2/5 (regardless of distance) | REJECT — pattern is too unproven for transfer |
The risk gate is non-negotiable. High-risk transfers without human approval are a governance violation.
Step 6 — Post-Transfer Validation (After Delivery)
This step executes AFTER the transferred pattern has been used in a delivery cycle. It is NOT part of the initial transfer proposal — it is invoked separately when delivery is complete.
- Update the source pattern card's
validated_inlist:yamlvalidated_in: - domain: {target_domain} date: {ISO 8601} result: success | failure decision_ref: {DEC-NNN if applicable} - Update
confidencescore: +1 if success, -1 if failure (floor at 0, ceiling at 5). - Add entry to the pattern card's
transfer_log. - If the pattern is now validated in 3+ domains: promote
abstraction_leveltodomain-portable. - If the transfer failed: document the failure context in the pattern card's anti-patterns section.
Quality Checks
- Every structural invariant produces an explicit PASS or FAIL with justification — no silent skips
- Transfer proposals include at least one contraindication check (even if none triggered)
- Risk gate is applied to every proposal — no proposals skip the gate
- Post-transfer validation is mandatory — no fire-and-forget transfers
- Pattern cards are append-only for
transfer_logandvalidated_in— history is preserved - Domain distance rating includes a justification — not just a label
- Recommendations are one of exactly three values:
transfer,adapt-then-transfer,too-distant-reject
Outputs
| Output | Path | Persistence |
|---|---|---|
| Transfer proposal | Inline or sessions/transfer-proposal-{id}.md |
Session-scoped |
| Updated pattern card | contexts/memory/patterns/{pattern-name}.md |
Permanent (append-only sections) |
Non-Goals
This skill must NOT:
- Auto-apply patterns to the target domain (the agent + risk gate decide, then Delivery implements)
- Create new patterns (that is
post-mortem-learning+memory-ingest) - Modify source pattern cards during transfer proposal (only after post-delivery validation in Step 6)
- Skip structural invariant checking (primary safeguard against false analogies — see
references/anti-patterns.md) - Transfer patterns with
confidence < 1/5(insufficient evidence for any transfer) - Match patterns by surface similarity alone (keywords, domain names) — structural tags are the matching mechanism
- Override the risk gate under any circumstances
For the structural tag taxonomy, see references/structural-tags.md.
For the enhanced pattern card format, see references/pattern-card-format.md.
For documented anti-patterns and risks, see references/anti-patterns.md.
No silent analogies. Every structural match, every invariant check, every risk assessment becomes explicit and governed.
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