project-controls

Every skill in the Buildr construction skills catalog.

4 skills

Document-based RFP intake, bid leveling and polished construction proposals.

4 skills

Knowledge graph construction — entity extraction, relation mapping, and pathfinder graph traversal

2 skills · 1 command · 1 agent

ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development

4 skills · 2 commands · 2 agents

Engineer an agent's forgetting, not just its remembering. Four deterministic stdlib scripts implement the four lenses of agent memory: a cost profiler that splits construction from query spend and reports cost per correct answer (construction energy exceeds total query energy across 300 queries in the Stanford characterization); an architecture picker that scores the four paradigm families — long-context, flat RAG, structure-augmented RAG, agentic — disqualifies on hard constraints, names the cost the winning choice makes you pay, and refuses to pick when the top two tie; a density auditor that classifies every record in a memory directory or JSONL export as FACT / SKILL / LOG / PROSE, finds near-duplicates, and flags stale wording; and a forgetting-policy linter that fails any design with no forgetting rule. Ships cs-memory-engineer agent, /cs-memory-engineering and /cs-forgetting-audit commands, 4 references, and a seven-question forcing worksheet.

1 skill · 2 commands · 1 agent

Write, run, and debug Ginkgo/Gomega test suites in Go: the tree-construction mental model, the full node and decorator surface, tables and generated specs, parallelism, filtering, timeouts and async, CI configuration, and JSON-first failure diagnosis.

13 skills

Design, critique and deliver professional logos: brief, concepts, geometric SVG construction, optical refinement, colour, typography, testing, presentation and brand guidelines — with a searchable library of 1,400+ classified SVG logos.

1 skill

Explicit 8-step empirical-analysis pipeline in the traditional Python econometrics stack (pandas + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml): cleaning -> variable construction -> Table 1 -> diagnostics -> estimation (OLS/IV/DID/RDD/PSM/SCM/DML/Causal Forest) -> robustness -> mechanism/heterogeneity/mediation -> publication-ready tables & figures. Includes epidemiology and ML-causal modes.

1 skill