Seed Capabilities
ONET base: v28.0 | License: CC-BY-4.0 (ONET base); Bukti extensions MIT
The seed set contains approximately 200 capability nodes drawn from the O*NET Content Model (35 cross-occupational skills, 33 knowledge areas, ~20 selected abilities) and domain-specific extensions covering education / pedagogy, software engineering, data science, research, design, and business.
This page lists a representative subset across all domains. All ONET-based nodes reference the ONET 28.0 element IDs; ESCO crosswalks are present on nodes where the mapping was deterministic.
O*NET Base Layer — Cross-Occupational Skills (representative selection)
These are the top-level skill nodes seeded directly from the O*NET Content Model. They have no parent and map to the most relevant cluster.
| capability_id | label | cluster | onet_refs | esco_refs |
|---|---|---|---|---|
| cap_s001 | Active Learning | cluster:default | 2.B.1.a | S2.1 |
| cap_s002 | Active Listening | cluster:default | 2.B.1.b | S2.1 |
| cap_s003 | Critical Thinking | cluster:default | 2.B.1.c | S2.1 |
| cap_s004 | Complex Problem Solving | cluster:default | 2.B.3.g | S2.1 |
| cap_s006 | Instructing | cluster:education-pedagogy | 2.B.5.b | S1.4 |
| cap_s009 | Mathematics | cluster:foundational-quantitative | 2.B.2.a | K01 |
| cap_s013 | Programming | cluster:software-engineering | 2.B.3.e | S5.6.1 |
| cap_s015 | Science | cluster:default | 2.B.2.c | — |
| cap_s021 | Technology Design | cluster:software-engineering | 2.B.3.c | S6.4.1.4 |
| cap_s023 | Troubleshooting | cluster:software-engineering | 2.B.3.f | S5.6.1 |
O*NET Base Layer — Knowledge Areas (representative selection)
| capability_id | label | cluster | onet_refs | esco_refs |
|---|---|---|---|---|
| cap_k006 | Computers and Electronics | cluster:software-engineering | 2.C.4.a | S5.6.1 |
| cap_k009 | Economics and Accounting | cluster:default | 2.C.6.c | K04 |
| cap_k010 | Education and Training | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_k011 | Engineering and Technology | cluster:software-engineering | 2.C.4.e | S6.4 |
| cap_k018 | Law and Government | cluster:domain-legal | 2.C.10.a | K04 |
| cap_k019 | Mathematics Knowledge | cluster:foundational-quantitative | 2.C.3.a | K01 |
| cap_k021 | Medicine and Dentistry | cluster:domain-medical | 2.C.8.a | K09 |
| cap_k026 | Psychology | cluster:default | 2.C.7.b | S1.4 |
Education / Learning Design Domain
Domain-specific child nodes of cap_k010 (Education and Training Knowledge).
| capability_id | label | cluster | onet_refs | esco_refs |
|---|---|---|---|---|
| cap_ed001 | Curriculum Design | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_ed002 | Instructional Design | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_ed003 | Learning Management Systems | cluster:education-pedagogy | 2.C.4.a | S5.6.1 |
| cap_ed004 | eLearning Development | cluster:education-pedagogy | 2.C.4.a | S5.6.1 |
| cap_ed005 | Assessment Design | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_ed006 | Program Evaluation | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_ed007 | Learning Analytics | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_ed008 | Coaching and Mentoring | cluster:education-pedagogy | 2.B.5.b | S1.4 |
| cap_ed009 | Facilitation | cluster:education-pedagogy | 2.B.5.b | S1.4 |
| cap_ed010 | Pedagogy | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_ed011 | Adult Learning Theory | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_ed012 | Diversity, Equity, and Inclusion in Education | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_ed014 | Universal Design for Learning | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_ed018 | Instructional Technology | cluster:education-pedagogy | 2.C.4.a | S5.6.1 |
| cap_ed020 | Educational Research Methods | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_ed021 | Competency-Based Education | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_ed024 | Blended and Hybrid Learning Design | cluster:education-pedagogy | 2.C.7.a | S1.4 |
| cap_ed036 | Learning Experience Design | cluster:education-pedagogy | 2.C.7.a | S1.4 |
Software Engineering Domain
Child nodes of cap_s013 (Programming) and related skills.
| capability_id | label | cluster | onet_refs | esco_refs |
|---|---|---|---|---|
| cap_se001 | Python | cluster:software-engineering | 2.B.3.e | S5.6.1 |
| cap_se002 | JavaScript | cluster:software-engineering | 2.B.3.e | S5.6.1 |
| cap_se003 | TypeScript | cluster:software-engineering | 2.B.3.e | S5.6.1 |
| cap_se004 | Go | cluster:software-engineering | 2.B.3.e | S5.6.1 |
The software engineering domain covers languages, frameworks, infrastructure, databases, API design, testing, and system design.
Node count summary
| Domain | ID prefix | Approximate count |
|---|---|---|
| O*NET skills (cross-occupational) | cap_s* | 35 |
| O*NET knowledge areas | cap_k* | 33 |
| O*NET abilities (selected) | cap_a* | 20 |
| Education / learning design | cap_ed* | ~40 |
| Software engineering | cap_se* | ~50 |
| Data science / applied ML | cap_ds* | ~40 |
| Research methodology | cap_re* | ~25 |
| Design | cap_de* | ~20 |
| Business / management | cap_bu* | ~25 |
Total: approximately 290 nodes at initial seeding. Growth nodes (growth_{slug}) are created at runtime for capabilities extracted from evidence that do not match the seed under the auto-map embedding-similarity threshold.
Related pages
- structure.md — capability node schema
- onet-crosswalks.md — cluster-level O*NET anchors
- esco-crosswalks.md — cluster-level ESCO anchors