All Skills

# Correct Course Workflow **Goal:** Manage significant changes during sprint execution. **Agent:** Scrum Master (Bob) **Module:** CORE --- ## Execution Read and follow: `./instructions.md` ## Validation After completion, verify against: `./checklist.md`

Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.

This skill should be used when the user asks to "end session", "shutdown", "wrap up", "prepare handoff", "save everything", "doomsday protocol", or is finishing a coding session and needs to preserve context for next time.

Score concepts on impact/delight/effort and pick a 1-day spike.

Use when drafting a Conventional Commit message from currently staged Git changes. Triggers: 'write commit message', 'draft commit from staged changes', 'generate conventional commit', 'message for git commit -F -'. Not for creating commits, amending history, or full code review.

Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.

Define database models with clear naming, appropriate data types, constraints, relationships, and validation at multiple layers. Use this skill when creating or modifying database model files, ORM classes, schema definitions, or data model relationships. Apply when working with model files (e.g., models.py, models/, ActiveRecord classes, Prisma schema, Sequelize models), defining table structures, setting up foreign keys and relationships, configuring cascade behaviors, implementing model validations, adding timestamps, or working with database constraints (NOT NULL, UNIQUE, foreign keys). Use for any task involving data integrity enforcement, relationship definitions, or model-level data validation.

Scans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts, and forward TON without gas checks. Use when auditing FunC contracts.

Complete guide for Frappe/ERPNext permission system - roles, user permissions, perm levels, data masking, and permission hooks

Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.

Analyze any image, extract individual elements (characters, UI, icons, text, decorations), and generate isolated versions of each.

Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.

Batch embedding generation with caching, rate limiting, and multiple provider support

This skill should be used when the user asks about "Nygard format", "Nygard

Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates

Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to 6 specialists, generates health score.

Creates language variants of existing Semgrep rules. Use when porting a Semgrep rule to specified target languages. Takes an existing rule and target languages as input, produces independent rule+test directories for each language.

Master defensive Bash programming techniques for production-grade scripts. Use when writing robust shell scripts, CI/CD pipelines, or system utilities requiring fault tolerance and safety.

Use when writing libGDX Java/Kotlin code involving collections (Array, ObjectMap, ObjectSet, Queue), object pooling (Pool, DefaultPool), JSON serialization (Json, JsonReader, JsonValue), I18NBundle localization, Timer scheduling, or utility classes (Align, Scaling, TimeUtils, AsyncExecutor). Use when debugging GC pressure, missing identity parameter, wrong map iteration, pooling leaks, JSON parse errors, or java.util vs libGDX collection misuse.

Hreflang and international SEO audit, validation, and generation. Detects common mistakes, validates language/region codes, and generates correct hreflang implementations.

Content quality and E-E-A-T analysis with AI citation readiness assessment.

Analyze existing XML sitemaps or generate new ones with industry templates. Validates format, URLs, and structure.

Programmatic SEO planning and analysis for pages generated at scale from data sources. Covers template engines, URL patterns, internal linking automation, thin content safeguards, and index bloat prevention.

Detect, validate, and generate Schema.org structured data in JSON-LD format.