Results for “rego”

Audit Terraform infrastructure-as-code for security misconfigurations using Checkov, tfsec, Terrascan, and OPA/Rego policies to detect overly permissive IAM policies, public resource exposure, missing encryption, and insecure defaults before cloud deployment.

Regex/parser/DSL design specialist for grammar authoring and ReDoS-safe regex. Not for REST APIs (Gateway) or DB schemas (Schema).

Guides agents through the full lifecycle of NeMo-RL experiments: understanding recipes, launching reproducible runs, analyzing results, and preserving human oversight with git and TSV logs.

Evaluates RAG pipelines using a filesystem-based benchmark with corpus/ and train.json, running evaluate_rag.py to tune retrieval and generation flags and interpret RAGAS metrics.

Run config-driven performance benchmarks against a deployed NVIDIA RAG Blueprint server, including profiling and load testing, with a unified report.

Produce the weekly regulatory digest — a prioritized rollup of new rules, open comment deadlines, and compliance gaps across every tracked matter.

Repo housekeeping: sync READMEs to match current architecture, remove dead files (logs, screenshots, deprecated code, build artifacts), update npm/pip/cargo dependencies to latest. Use when asked to: "housekeep", "clean up repo", "update README", "update dependencies", "fix vulnerabilities", "remove dead code", "tidy.

Limpia y transforma texto en DataFrames usando expresiones regulares: extrae emails, teléfonos, fechas y precios, valida formatos como CUIL o CBU, y maneja datos inconsistentes con opciones de fuzzy matching.

Provides guidelines and best practices for aggregates and aggregate roots, referencing detailed documentation.

Design and improve revenue operations, lead lifecycle rules, scoring, routing, handoffs, and CRM process automation for marketing, sales, and customer success alignment.

Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs RAG/semantic search, or wants to start a local web UI for their docs.

Comprehensive guide to rag. Master the concepts, implementation, best practices, and real-world applications of rag in professional environments.

Diseña estrategias de backup, disaster recovery, RPO/RTO, restauración y continuidad de negocio para servicios y bases de datos.

Design and optimize revenue operations systems that connect marketing, sales, and customer success into a unified revenue engine.

Trigger a full or incremental reindex of the RAG corpus

Track open comment periods and draft a substantive, on-the-record comment that argues your position within the docket's rules and deadline.

Evaluate RAG pipelines with Ragas — measure faithfulness, answer relevancy, context precision/recall, and noise sensitivity using LLM-as-judge metrics; run automated test suite generation with TestsetGenerator; integrate with LangChain, LlamaIndex, and CI pipelines.

Builds a local RAG memory system that indexes session logs and notes into ChromaDB for semantic recall across agent restarts.

Design and improve revenue operations, lead lifecycle rules, scoring, routing, handoffs, and CRM process automation. Use when marketing, sales, and customer success workflows need clearer operational structure.

Design and improve revenue operations, lead lifecycle rules, scoring, routing, handoffs, and CRM process automation. Use when marketing, sales, and customer success workflows need clearer operational structure.

Design and improve revenue operations, lead lifecycle rules, scoring, routing, handoffs, and CRM process automation. Use when marketing, sales, and customer success workflows need clearer operational structure.

Designs and improves revenue operations, including lead lifecycle rules, scoring, routing, handoffs, and CRM process automation for marketing, sales, and customer success alignment.

Expert guidance for implementing GRPO/RL fine-tuning with TRL for reasoning and task-specific model training.

Distill learnings from a completed repo analysis into reusable knowledge base entries in ~/.copilot/context/. Use after finishing a repo-analysis to make the learnings persistent and searchable.

Design and improve revenue operations, lead lifecycle rules, scoring, routing, handoffs, and CRM process automation. Use when marketing, sales, and customer success workflows need clearer operational structure.

Design and improve revenue operations, lead lifecycle rules, scoring, routing, handoffs, and CRM process automation. Use when marketing, sales, and customer success workflows need clearer operational structure.

Caching strategies across the RAG stack. Semantic caching with GPTCache and LangChain, Redis-based embedding-similarity cache, cache key design, TTL/invalidation, partial caching (cache retrieval only), provider-native prompt caching (Anthropic, OpenAI), and hierarchical L1/L2 caches. USE WHEN: user mentions "semantic cache", "GPTCache", "LLM cache", "prompt caching", "Redis vector cache", "cache invalidation for RAG", "reduce LLM cost", "latency reduction LLM" DO NOT USE FOR: retrieval accuracy - use `rag-patterns`; groundedness checks - use `rag-guardrails`; incremental indexing - use `rag-production`

High-fidelity ASCII/Braille rendering via the Risomorphism-1911 pipeline — edge-aware downsampling, presets, quality gates, and eikon mirror workflows

Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training

Reconcile repository issues, pull requests, merge requests, local git state, commits, and pushes across GitHub, GitLab, Gitea, Forgejo, Codeberg, Bitbucket, Azure DevOps, and SourceHut.

Design and improve revenue operations, lead lifecycle rules, scoring, routing, handoffs, and CRM process automation. Use when marketing, sales, and customer success workflows need clearer operational structure.

Recover session state from git, plans, and open PRs, then continue from the last completed phase without repeating work

Designing, optimizing, and auditing repository structure: directory design, docs/ layout (PRD, specs, ADR), test/script organization, anti-pattern detection. Use for repo layout or migration planning.

Initializes production-ready logging for a Next.js project using Pino and pino-roll, with file output, log rotation, and request context. Handles server-side and client-side environments, including Vercel/serverless setups.