Documentation

Generates and reviews Salesforce Apex code with 2025 best practices and 150-point scoring. Use when writing Apex classes, triggers, test classes, batch jobs, or reviewing existing Apex code for bulkification, security, and SOLID principles.

Human-supervised PDCA (Plan-Do-Check-Act) framework for AI-assisted code generation. Use when generating production code with AI agents to maintain quality, reduce technical debt, and keep humans engaged. Applies structured analysis, planning, test-driven development, validation, and retrospection to AI coding sessions. Essential for developers who need systematic approaches to maintain code quality and accountability when using AI code generation tools in complex codebases.

Detects SpecWeave context (.specweave/ directory exists) and provides workflow documentation. Explains available slash commands and workflow. Keywords slash commands, /sw:increment, /increment, /sw:do, /sw:progress, /sw:validate, /sw:done, specweave commands, workflow help, specweave folder.

Navigate and load project living documentation for context. Provides a table of contents for specs, ADRs, architecture docs, and operations runbooks. Use when implementing features, making design decisions, or needing project context. Keywords - living docs, context, ADR, architecture, specs, documentation, project knowledge.

Expert in analyzing and recommending release strategies for software projects. Detects existing release patterns in brownfield projects (git tags, CI/CD workflows, changelogs, version files). Suggests optimal strategies based on architecture (single-repo, multi-repo, monorepo, microservices), team size, deployment frequency, and dependencies. Creates comprehensive release-strategy.md in living docs (.specweave/docs/internal/delivery/ or projects/{id}/delivery/). Activates for release strategy, versioning strategy, multi-repo releases, monorepo versioning, semantic versioning, coordinated releases, independent releases, release planning, version alignment, brownfield release analysis, deployment strategy, CI/CD release, how to version, release best practices.

Comprehensive feature engineering for ML pipelines: data quality assessment, feature creation, selection, transformation, and encoding. Activates for "feature engineering", "create features", "feature selection", "data preprocessing", "handle missing values", "encode categorical", "scale features", "feature importance". Ensures features are production-ready with automated validation, documentation, and integration with SpecWeave increments.

Analyzes existing brownfield projects to map documentation structure to SpecWeave's PRD/HLD/Spec/Runbook pattern. Scans folders, classifies documents, detects external tools (Jira, ADO, GitHub), and creates project context map for just-in-time migration. Activates for brownfield, existing project, migrate, analyze structure, legacy documentation.

Documentation view expert for Docusaurus integration. Launches interactive server for SpecWeave living documentation with hot reload, auto-generated sidebar, and Mermaid diagrams. Works in ANY SpecWeave project with auto-setup. Supports both internal (port 3015) and public (port 3016) docs. Activates for preview docs, view documentation, Docusaurus server, docs UI, documentation website, local docs server, hot reload docs, static site build.

Guide for recording significant architectural and design decisions in docs/decisions.md. Use this skill when clearly significant architectural decisions are made (database choices, frameworks, core design patterns) or when explicitly asked to document a decision. Be conservative - only suggest for major decisions, not minor implementation details.

Guide for working with SQL queries, in particular for SQLite. Use this skill when writing SQL queries, analyzing database schemas, designing migrations, or working with SQLite-related code.

Creates Salesforce architecture diagrams using Mermaid with ASCII fallback. Use when visualizing OAuth flows, data models (ERDs), integration sequences, system landscapes, role hierarchies, or Agentforce agent architectures.

Expert knowledge of SpecWeave framework structure, rules, conventions, and increment lifecycle. Deep understanding of source-of-truth discipline, increment naming, living docs sync. Covers SpecWeave-specific hooks (post-task-completion), and increment discipline. Activates for specweave rules, increment lifecycle, source of truth, increment naming, tasks.md format, spec.md structure, living docs sync, specweave hooks, where do files go, how to use specweave, specweave best practices, specweave conventions.

Generates comprehensive specifications (spec.md, plan.md, tasks.md with embedded tests) for SpecWeave increments using proven templates and flexible structure. Activates when users create new increments, plan features, or need structured documentation. Keywords: specification, spec, plan, tasks, tests, increment planning, feature planning, requirements.

Specification Kit expert covering RFC 2119 keywords, Gherkin syntax, user story formats, acceptance criteria patterns, and specification best practices. Activates for spec writing, specification format, RFC 2119, Gherkin, BDD, user stories, acceptance criteria, requirements, INVEST criteria, given-when-then, spec-driven development, specification templates.

Technical reference for using IDA Swarm MCP tools. Covers system constraints, architecture, TRUE CONTEXT principle, result interpretation, and debugging. Use when analyzing binaries via IDA Swarm or troubleshooting sessions.

Python backend developer for FastAPI, Django, Flask APIs with SQLAlchemy, Django ORM, Pydantic validation. Implements REST APIs, async operations, database integration, authentication, data processing with pandas/numpy, machine learning integration, background tasks with Celery, API documentation with OpenAPI/Swagger. Activates for: Python, Python backend, FastAPI, Django, Flask, SQLAlchemy, Django ORM, Pydantic, async Python, asyncio, uvicorn, REST API Python, authentication Python, pandas, numpy, data processing, machine learning, ML API, Celery, Redis Python, PostgreSQL Python, MongoDB Python, type hints, Python typing.

Manages ML experiment tracking with MLflow, Weights & Biases, or SpecWeave's built-in tracking. Activates for "track experiments", "MLflow", "wandb", "experiment logging", "compare experiments", "hyperparameter tracking". Automatically configures tracking tools to log to SpecWeave increment folders, ensuring all experiments are documented and reproducible. Integrates with SpecWeave's living docs for persistent experiment knowledge.

Prepares Pine Scripts for publication in TradingView's community library with proper documentation and compliance. Use when preparing to publish, adding documentation, ensuring House Rules compliance, writing descriptions, or finalizing scripts for release. Triggers on "publish", "release", "documentation", "House Rules", or preparation requests.

Execute implementation tasks from design documents using markdown checkboxes. Use when (1) implementing features from feature-design-assistant output, (2) resuming interrupted work, (3) batch executing tasks. Triggers on 'start implementation', 'run tasks', 'resume'.

Testing philosophy and practices. This skill should be used when writing tests, designing test strategies, or reviewing test code. Use proactively when discussing TDD, red-green-refactor, test doubles, mocks, stubs, fakes, RSpec, Jest, pytest, unit tests, integration tests, test coverage, or test-first development. (user)