Plugins

2 plugins

Results for “engineering-process”

10 skills
More results
alirezarezvani
vpe-advisor
Analyze engineering delivery throughput, hiring funnel health, team structure, and production discipline for startup VPEs and founders.
20.4k · bundle
rajanthar
lfg
Run the full autonomous engineering pipeline end-to-end (plan, work, code review, test, commit, push, open PR, watch CI, fix CI failures until green). Use only when the user explicitly requests hands-off execution of a software task and provides a feature description; do not auto-route casual conversation here.
0 · bundle
30eggis
engineering-engineering-data-engineer
Expert data engineer specializing in building reliable data pipelines, lakehouse architectures, and scalable data infrastructure. Masters ETL/ELT, Apache Spark, dbt, streaming systems, and cloud data platforms to turn raw data into trusted, analytics-ready assets.
2
jeffallan
chaos-engineer
Designs chaos experiments, creates failure injection frameworks, and facilitates game day exercises for distributed systems — producing runbooks, experiment manifests, rollback procedures, and post-mortem templates.
10.4k · bundle
lucassantana-dev
refactor-pipeline
Composite skill — safely refactor a module end-to-end with sequencing, parallel implementation, post-refactor cleanup, and rationale capture. Chains refactor-plan (phased plan + rollback) → three-man-team (architect/builder/reviewer in parallel) → fix-the-suite post-refactor → adr-write → docs-sync. Use for non-trivial refactors that need both careful sequencing and durable record.
1 · bundle
bouclem
data-engineer
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
7
micsapp
pipeline
End-to-end source processing -- seed, reduce, process all claims through reflect/reweave/verify, archive. The full pipeline in one command. Triggers on "/pipeline", "/pipeline [file]", "process this end to end", "full pipeline".
3 · bundle
jeffallan
ml-pipeline
Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking, creates orchestration DAGs, builds feature store schemas, deploys model registries, and automates retraining and validation workflows.
10.4k · bundle
tradermonty
edge-pipeline-orchestrator
Coordinate multi-stage edge research pipelines from candidate detection through strategy design, review, revision, and export.
2.3k · bundle