enrich-context
enrich-context is a Data warehousing & modelling skill for AI agents, published by Canner in the WrenAI repository on GitHub. Skillspace rates enrich-context C (78/100) and it passed the safety scan; a judge model has also reviewed it.
Augment a Wren project with business context that DB schema cannot carry — enum value meanings, units (USD vs cents, ms vs sec), NULL semantics, magic sentinels (-1 = unknown), soft-delete default filters, business synonyms, time-grain / TZ conventions, cross-system identifiers, currency rules, canonical-table preferences, AND named aggregation metrics (ARR, churn, DAU, WAU, NRR) proposed as cubes. Runs in one of two modes selected at session start: `grill` (one question at a time, user-driven) or `auto-pilot` (agent infers and applies, escalates only on conflicts and high-blast-radius additions like new cubes / views / relationships). Reads everything under <project>/raw/ (PDFs, glossaries, handbooks, code, data dictionaries) and optionally samples low-cardinality columns from the live DB (grill mode), compares against the current MDL / cubes / knowledge (rules + NL→SQL pairs), then fills gaps via the ten-category gap catalog and the cube proposal flow. Confirmed findings are written…
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 15,817
Placed #2 of 6 in the judged category final for Data warehousing & modelling.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 95 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Enriching a Wren project, public product usage
Judge review
Placed #2 of 6 in the judged category final for Data warehousing & modelling.
- Trigger
88 88 - Instructions
92 92 - Specificity
90 90 - Safety
92 92 - Disclosure
50 50 - Maintenance
70 70
A carefully safety-gated dual-mode workflow (validate-or-revert every edit, never assume the project path) whose visible core is long and inline rather than pushed to references.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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