Results for “implementation”

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

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

Comprehensive guide to neo4j. Master the concepts, implementation, best practices, and real-world applications of neo4j in professional environments.

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

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

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

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

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

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

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

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

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

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

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

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

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

Use only at validation, integration, completion, release, or drift-review boundaries. Do not load for every implementation step.

Feature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.

Creates executable implementation plans that break down a brainstorming design into detailed, unambiguous per-batch tasks for execution.

Use when you have a written implementation plan to execute in a separate session with review checkpoints

Turn an approved PRD or implementation goal into SRS/FRS technical requirements (How), architecture, contracts, and verification decisions.

Use when you have a written implementation plan to execute in a separate session with review checkpoints

Use when you have a written implementation plan to execute in a separate session with review checkpoints

Hard readiness gate before implementation begins — cross-checks the constitution, feature spec, plan, and tasks for consistency, traceability, and unresolved ambiguity. Returns PASS or FAIL with specific findings. Load when the spec-driven-development orchestrator routes /analyze, when the user asks to cross-check spec vs plan, audit traceability, verify spec readiness, gate-check before implementation, or says "is this spec implementation-ready", "trace requirements to tasks", "/analyze", "spec sanity check", "spec readiness gate", "spec consistency check". Output: docs/reviews/YYYY-MM-DD-<slug>-spec-crosscheck.md.

Guides collaborative dialogue to turn ideas into approved designs and specs before any implementation begins.

Guides collaborative dialogue to turn ideas into approved designs and specs before any implementation begins.

Resolves legacy references to the security-reviewer capability and routes to the current runtime implementation.

Computes the LogAUC metric using the torchmetrics implementation for binary, multiclass, or multilabel classification tasks.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

General implementation only when no narrower task or ecosystem skill fits. Do not combine with a clear specialist skill.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

Transform research findings into actionable implementation plans with stakes-based rigor, test-first strategy, and granular task decomposition.