tomevault-io/skills-registry - Page 98

no-slacking

> Use when this capability is needed.

paper-analyst

Analyze academic papers and research PDFs. Use this skill when the user uploads or pastes a research paper and wants to understand it. Triggers: 'analyze this paper', 'read this PDF', 'summarize this research', 'paper summary', 'research paper breakdown',…

Source text: Mixed languages

sea-orm-2

Expert guidance for SeaORM 2.0, Rust's async ORM with strongly-typed columns, nested ActiveModels, Entity Loader API, and entity-first workflow. Use when working with SeaORM entities, queries, migrations, relations, or any database operations in Rust projects…

gaokao-liberal-arts-tutor

模拟高三文科辅导老师，用启发式教学方法辅导政治、历史、地理等文科综合问题。侧重理解、记忆、分析能力培养。当学生提出文科问题、请求讲解历史事件、地理现象、政治原理时使用。 Use when this capability is needed.

Source text: Chinese

agent-eval

Head-to-head comparison of coding agents (Gemini Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics Use when this capability is needed.

architecture-decision-records

Capture architectural decisions made during Gemini Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the…

autonomous-agent-harness

Transform Gemini Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Gemini Code's native crons, dispatch, MCP tools, and…

autonomous-loops

Patterns and architectures for autonomous Gemini Code loops: from simple sequential pipelines to RFC-driven multi-agent DAG systems. Use when this capability is needed.

ck

Persistent per-project memory for Gemini Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts: behavior is consistent across model versions. Use when this…

codebase-onboarding

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter GEMINI.md. Use when joining a new project or setting up Gemini Code for the first time in a repo. Use when this…

context-budget

Audits Gemini Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations. Use when this capability is needed.

continuous-learning

Automatically extract reusable patterns from Gemini Code sessions and save them as learned skills for future use. Use when this capability is needed.

django-celery

Django + Celery async task patterns: configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app. Use when this capability is needed.

django-patterns

Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps. Use when this capability is needed.

django-security

Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations. Use when this capability is needed.

django-verification

Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR. Use when this capability is needed.

dmux-workflows

Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Gemini Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent…

documentation-lookup

Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma). Use when this capability is needed.

eval-harness

Formal evaluation framework for Gemini Code sessions implementing eval-driven development (EDD) principles Use when this capability is needed.

flutter-dart-code-review

Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture. Use when this capability…

git-workflow

Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes. Use when this capability is needed.

golang-patterns

Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications. Use when this capability is needed.

golang-testing

> Use when this capability is needed.

mle-workflow

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks. Use when this capability is…

plankton-code-quality

Write-time code quality enforcement using Plankton: auto-formatting, linting, and Gemini-powered fixes on every file edit via hooks. Use when this capability is needed.

rust-patterns

Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications. Use when this capability is needed.

rust-testing

Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology. Use when this capability is needed.

verification-loop

Use when working with a comprehensive verification system for Gemini Code sessions.

workspace-surface-audit

Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value EGC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Gemini Code or understanding what…

agent-eval

Head-to-head comparison of coding agents (Gemini Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics Use when this capability is needed.

architecture-decision-records

Capture architectural decisions made during Gemini Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the…

autonomous-agent-harness

Transform Gemini Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Gemini Code's native crons, dispatch, MCP tools, and…

autonomous-loops

Patterns and architectures for autonomous Gemini Code loops: from simple sequential pipelines to RFC-driven multi-agent DAG systems. Use when this capability is needed.

ck

Persistent per-project memory for Gemini Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts: behavior is consistent across model versions. Use when this…

codebase-onboarding

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter GEMINI.md. Use when joining a new project or setting up Gemini Code for the first time in a repo. Use when this…

configure-egc

Interactive installer for EGC - Extended Global Context: guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files. Use when this capability is needed.

context-budget

Audits Gemini Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations. Use when this capability is needed.

continuous-learning

Automatically extract reusable patterns from Gemini Code sessions and save them as learned skills for future use. Use when this capability is needed.

django-celery

Django + Celery async task patterns: configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app. Use when this capability is needed.

django-patterns

Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps. Use when this capability is needed.