ReddRadar
Topic: llm-orchestration
95 skills in this topic.
-
release-prep
Prepare release documentation including CHANGELOG entry, announcement text, and validation. Run before tagging a new release.
massgen/MassGen 914
-
audio-generation
Guide to audio generation and understanding in MassGen. Covers text-to-speech, music, sound effects, and audio understanding across ElevenLabs and OpenAI backends.
massgen/MassGen 914
-
backend-integrator
Complete guide for integrating a new LLM backend into MassGen. Use when adding a new provider (e.g., Codex, Mistral, DeepSeek) or when auditing an existing backend for missing integration points. Covers all ~15 files that need touching.
massgen/MassGen 914
-
evolving-skill-creator
Guide for creating evolving skills - detailed workflow plans that capture what you'll do, what tools you'll create, and learnings from execution. Use this when starting a new task that could benefit from a reusable workflow.
massgen/MassGen 914
-
image-generation
Guide to image generation and editing in MassGen. Use when creating images, editing existing images, iterating on image designs, or choosing between image backends (OpenAI, Google Gemini/Imagen, Grok, OpenRouter).
massgen/MassGen 914
-
massgen
Invoke MassGen's multi-agent system. Use when the user wants multiple AI agents on a task: writing, code, review, planning, specs, research, design, or any task where parallel iteration beats working alone.
massgen/MassGen 914
-
massgen-config-creator
Guide for creating properly structured YAML configuration files for MassGen. This skill should be used when agents need to create new configs for examples, case studies, testing, or demonstrating features.
massgen/MassGen 914
-
massgen-log-analyzer
Run MassGen experiments and analyze logs using automation mode, logfire tracing, and SQL queries. Use this skill for performance analysis, debugging agent behavior, evaluating coordination patterns, and improving the logging structure, or whenever an ANALYSIS_REPORT.md is needed in a log directory.
massgen/MassGen 914
-
massgen-release-documenter
Guide for following MassGen's release documentation workflow. This skill should be used when preparing release documentation, updating changelogs, writing case studies, or maintaining project documentation across releases.
massgen/MassGen 914
-
model-registry-maintainer
Guide for maintaining the MassGen model and backend registry. This skill should be used when adding new models, updating model information (release dates, pricing, context windows), or ensuring the registry stays current with provider releases. Covers both the capabilities registry and the pricing/token manager.
massgen/MassGen 914
-
multimedia-backend-integrator
Reference guide for adding new media generation backends to MassGen's unified generate_media tool.
massgen/MassGen 914
-
pr-checks
Run comprehensive PR checks including reviewing CodeRabbit comments, ensuring PR description quality, running pre-commit hooks, tests, and validation. Use on an existing PR to address review feedback.
massgen/MassGen 914
-
semtools
This skill provides semantic search capabilities using embedding-based similarity matching for code and text. Enables meaning-based search beyond keyword matching, with optional document parsing (PDF, DOCX, PPTX) support.
massgen/MassGen 914
-
massgen-develops-massgen
Guide for using MassGen to develop and improve itself. This skill should be used when agents need to run MassGen experiments programmatically (using automation mode) OR analyze terminal UI/UX quality (using visual evaluation tools). These are mutually exclusive workflows for different improvement goals.
massgen/MassGen 914
-
experiment-design
Best practices for designing reproducible experiments
Yeachan-Heo/My-Jogyo 162
-
data-analysis
Patterns for data loading, exploration, and statistical analysis
Yeachan-Heo/My-Jogyo 162
-
experiment-design
Best practices for designing reproducible experiments
Yeachan-Heo/My-Jogyo 162
-
ml-rigor
Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines
Yeachan-Heo/My-Jogyo 162
-
data-analysis
Patterns for data loading, exploration, and statistical analysis
Yeachan-Heo/My-Jogyo 162
-
ml-rigor
Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines
Yeachan-Heo/My-Jogyo 162
-
ai-development-guide
Technical decision criteria, anti-pattern detection, debugging techniques, and quality check workflow. Use when making technical decisions, detecting code smells, or performing quality assurance.
shinpr/claude-code-workflows 258
-
testing-principles
Language-agnostic testing principles including TDD, test quality, coverage standards, and test design patterns. Use when writing tests, designing test strategies, or reviewing test quality.
shinpr/claude-code-workflows 258
-
recipe-plan
Create work plan from design document and obtain plan approval
shinpr/claude-code-workflows 258
-
recipe-diagnose
Investigate problem, verify findings, and derive solutions
shinpr/claude-code-workflows 258