lss artifacts
by Perry
Generate professional, formula-driven DMAIC/DFSS artifacts, Excel tools, and interactive Lean Six Sigma visualizations.
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THE AGENSI STORE
16 skills found
by Perry
Generate professional, formula-driven DMAIC/DFSS artifacts, Excel tools, and interactive Lean Six Sigma visualizations.
by Kevin Cline
Automate data profiling with type detection, statistical analysis, and quality flags saved to a Markdown report.
Turn a CRM export or live HubSpot/Salesforce/Pipedrive sync into an executive-ready pipeline report: a 12-month weighted forecast with three scenarios, win/loss themes pulled from deal notes, data-quality flags, and a board-ready PDF. Can run weekly and email itself to stakeholders.
Design scalable, data-driven SEO page systems with keyword templates and quality-controlled workflows.
An adversarial gate that audits an AI eval or test suite — LLM-judge rubrics, datasets, regression tests, metrics — for gameable criteria, data leakage, missing edge cases, and non-determinism, then returns one PASS/REVISE/FAIL verdict.
Continuously monitor data pipelines, detect anomalies, and explain root causes before failures impact production.
Audit your dbt project for the test and documentation gaps that let bad data ship. Flags models with no unique or not_null tests, sources missing freshness config or tests, likely keys without a not_null test, models missing descriptions, SELECT * in models, and raw table references that should use ref() or source(). Each finding comes with a suggested tests: YAML snippet to drop into schema.yml.
An adversarial gate that audits any chart, data summary, or statistic for misleading visuals and unsound inference, then returns one PASS/REVISE/FAIL verdict.
by Joker
Data quality diagnosis, dedup strategies, format standardization, anomaly handling, batch processing.
Scale your search traffic with data-driven, high-quality programmatic landing page architectures that avoid SEO penalties.
by Joker
Governance framework, data quality, metadata, compliance, data lineage, 2026 trends.
by Kaymue
Pre-publish SEO audit. 60+ checks: keywords, structure, metadata, links, schema.org, readability. 0-100 score with fix list.
Design and write the eval suite for your LLM-powered feature — the metrics that match your failure modes, a golden dataset plan with starter cases, anchored rubrics, LLM-as-judge prompts with the known bias mitigations, and pass/fail gates wired for CI.
Check an AI-built app for work that looks finished but is not: leftover TODOs and stubs, fake or mock data returned as real, errors quietly swallowed, placeholder content, and endpoints that fake success. Read-only, every finding explained in plain English for non-coders.
Turns your agent into a rigorous survey methodologist that designs, reviews, and fixes questionnaires — question wording, response scales, sampling, and data quality.
by PromptWagon
Reviews document sets, source quality, chunking logic, metadata, retrieval coverage, citation traceability, answer grounding, source gaps, stale content, duplicate content, and failure patterns for RAG knowledge-base chatbots. Helps AI, product, support, governance, and engineering teams diagnose common and costly RAG quality problems before deployment or after incidents.