#802 by GitHub stars
massgen/MassGen
🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | Join us on Discord: discord.massgen.ai
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
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massgen/skills/audio-generation/SKILL.md
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massgen/skills/video-generation/SKILL.md
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Verified commit 007bd8579298d7dc3ff2a43c378e27a284902f22
git clone --filter=blob:none --no-checkout https://github.com/massgen/MassGen.git .hotskills/massgen-massgen && git -C .hotskills/massgen-massgen checkout --detach 007bd8579298d7dc3ff2a43c378e27a284902f22
# Copy each selected skill directory from .hotskills/massgen-massgen into .claude/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/massgen/MassGen.git .hotskills/massgen-massgen && git -C .hotskills/massgen-massgen checkout --detach 007bd8579298d7dc3ff2a43c378e27a284902f22
# Copy each selected skill directory from .hotskills/massgen-massgen into .agents/skills/<skill-name>/Heat
1.5- Star growth, last 7 daysAhead of 36% of tracked repositories
- Star growth, last 24 hoursAhead of 2% of tracked repositories
- Rank movement, last 7 daysAhead of 4% of tracked repositories
- Commits, last 30 daysAhead of 0% of tracked repositories
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekAhead of 0% of tracked repositories
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
- audio-generation
massgen/skills/audio-generation - backend-integrator
massgen/skills/backend-integrator - evolving-skill-creator
massgen/skills/evolving-skill-creator - file-search
massgen/skills/file-search - image-generation
massgen/skills/image-generation - massgen
massgen/skills/massgen - massgen-config-creator
massgen/skills/massgen-config-creator - massgen-develops-massgen
massgen/skills/massgen-develops-massgen - massgen-log-analyzer
massgen/skills/massgen-log-analyzer - massgen-release-documenter
massgen/skills/massgen-release-documenter - model-registry-maintainer
massgen/skills/model-registry-maintainer - multimedia-backend-integrator
massgen/skills/multimedia-backend-integrator - pr-checks
massgen/skills/pr-checks - release-prep
massgen/skills/release-prep - semtools
massgen/skills/semtools - serena
massgen/skills/serena - skill-organizer
massgen/skills/skill-organizer - textual-ui-developer
massgen/skills/textual-ui-developer - video-generation
massgen/skills/video-generation
How it works
audio-generation
When your agent uses it
Guide to audio generation and understanding in MassGen. Covers text-to-speech, music, sound effects, and audio understanding across ElevenLabs and OpenAI backends.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
1,021 tokensWhen the skill is activated
Reference documents
3,353 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Audio Types
- Backend Comparison
- Key Parameters
- Voice Quick Reference
- Important: prompt vs instructions
- Audio Understanding
- Need More Control?
Files
SKILL.mdcore4,181 bytesSKILL.mdcore4,181 bytesSKILL.mdcore4,181 bytesSKILL.mdcore4,181 bytesreferences/advanced.mddoc6,184 bytesreferences/music_and_sfx.mddoc2,996 bytesreferences/voices.mddoc3,002 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubbackend-integrator
When your agent uses it
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.
What it loads into context
Frontmatter
61 tokensAlways available to the agent
SKILL.md
10,910 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Integration Architecture
- Complete Checklist
- Common Patterns
- Reference Backends by Complexity
- File Summary
Scripts executed separately
../../../scripts/test_hook_backends.py../../../scripts/test_hook_backends.py../../../scripts/test_hook_backends.py../../../scripts/test_native_tools_sandbox.py../../../scripts/validate_all_configs.py
Files
SKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytesSKILL.mdcore45,782 bytes../../../scripts/test_hook_backends.pyruns44,200 bytes../../../scripts/test_hook_backends.pyruns44,200 bytes../../../scripts/test_hook_backends.pyruns44,200 bytes../../../scripts/test_native_tools_sandbox.pyruns39,122 bytes../../../scripts/validate_all_configs.pyruns4,355 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubevolving-skill-creator
When your agent uses it
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.
What it loads into context
Frontmatter
51 tokensAlways available to the agent
SKILL.md
1,465 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What is an Evolving Skill?
- Directory Structure
- SKILL.md Format
- Tools to Create Section
- Creating an Evolving Skill
- Updating After Execution
- Example: Complete Evolving Skill
- Key Principles
Files
SKILL.mdcore6,450 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubfile-search
When your agent uses it
This skill should be used when agents need to search codebases for text patterns or structural code patterns. Provides fast search using ripgrep for text and ast-grep for syntax-aware code search.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
2,234 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use This Skill
- Invoking Search Tools
- Targeting Your Searches
- How to Use
- Common Search Patterns
- File Type Filters
- Performance Tips
- Best Practices
- Troubleshooting
- Resources
Files
SKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytesSKILL.mdcore8,315 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubimage-generation
When your agent uses it
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).
What it loads into context
Frontmatter
53 tokensAlways available to the agent
SKILL.md
1,065 tokensWhen the skill is activated
Reference documents
2,909 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Backend Comparison
- Key Parameters
- Image-to-Image Editing
- Multi-Turn Editing (Continuation)
- Google: Gemini vs Imagen
- Need More Control?
Files
SKILL.mdcore4,306 bytesSKILL.mdcore4,306 bytesSKILL.mdcore4,306 bytesSKILL.mdcore4,306 bytesreferences/backends.mddoc5,403 bytesreferences/editing.mddoc3,389 bytesreferences/extra_params.mddoc2,745 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubmassgen
When your agent uses it
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.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
2,168 tokensWhen the skill is activated
Reference documents
19,533 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before You Launch
- Important: Only Add What's Asked
- Quick Dispatch
- Optional Flags (only when requested)
- Config
- References
Scripts executed separately
scripts/massgen_run.shscripts/review_watcher.sh
Files
SKILL.mdcore8,632 bytesSKILL.mdcore8,632 bytesSKILL.mdcore8,632 bytesSKILL.mdcore8,632 bytesSKILL.mdcore8,632 bytesSKILL.mdcore8,632 bytesSKILL.mdcore8,632 bytesSKILL.mdcore8,632 bytesreferences/advanced_workflows.mddoc4,020 bytesreferences/config_setup.mddoc2,439 bytesreferences/criteria_guide.mddoc9,682 bytesreferences/evaluate/prompt_template.mddoc16,393 bytesreferences/evaluate/workflow.mddoc12,949 bytesreferences/general/prompt_template.mddoc3,366 bytesreferences/general/workflow.mddoc2,455 bytesreferences/plan/prompt_template.mddoc11,821 bytesreferences/plan/workflow.mddoc9,788 bytesreferences/spec/prompt_template.mddoc7,269 bytesreferences/spec/workflow.mddoc8,899 bytesscripts/massgen_run.shruns3,591 bytesscripts/review_watcher.shruns3,199 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubmassgen-config-creator
When your agent uses it
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.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
1,268 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use This Skill
- Authoritative Documentation
- Critical Rules (Quick Reference)
- Quick Start Workflow
- File Naming and Location
- Common Patterns (Quick Reference)
- Reference Files
- Tips for Agents
Files
SKILL.mdcore5,284 bytesSKILL.mdcore5,284 bytesSKILL.mdcore5,284 bytesSKILL.mdcore5,284 bytesSKILL.mdcore5,284 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubmassgen-develops-massgen
When your agent uses it
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.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
4,104 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Two Workflows
- Workflow 1: Automation Mode
- Workflow 2: Visual Evaluation
- Which Configs to Test
- Docker Considerations
- Reference Files
Files
SKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytesSKILL.mdcore16,680 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubmassgen-log-analyzer
When your agent uses it
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.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
13,875 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- CLI Quick Reference
- When to Use Logfire vs Local Logs
- Logfire Setup
- Prerequisites
- Part 1: Running MassGen Experiments
- Part 2: Querying Logfire
- Part 3: Common Analysis Queries
- Part 4: Analysis Workflow
- Part 5: Improving the Logging Structure
- Logfire Documentation Reference
- Reference Documentation
- Tips for Effective Analysis
- Part 6: Comprehensive Log Analysis Report
- Part 7: Quick Reference - SQL Queries
- Part 8: Wall-Time Phase Analysis
Files
SKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytesSKILL.mdcore57,189 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubmassgen-release-documenter
When your agent uses it
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.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
2,685 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use This Skill
- Authoritative Documentation
- Critical Documentation Order
- Quick Reference Workflow
- Quick Validation Checklist
- Backend Updates (When Needed)
- Commit and Release Workflow
- Reference Files
- Tips for Agents
Scripts executed separately
../../../scripts/precommit_validate_configs.py../../../scripts/sync_readme_pypi.py
Files
SKILL.mdcore10,653 bytesSKILL.mdcore10,653 bytesSKILL.mdcore10,653 bytesSKILL.mdcore10,653 bytesSKILL.mdcore10,653 bytesSKILL.mdcore10,653 bytesSKILL.mdcore10,653 bytesSKILL.mdcore10,653 bytesSKILL.mdcore10,653 bytesSKILL.mdcore10,653 bytesSKILL.mdcore10,653 bytesSKILL.mdcore10,653 bytes../../../scripts/precommit_validate_configs.pyruns1,570 bytes../../../scripts/sync_readme_pypi.pyruns5,568 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubmodel-registry-maintainer
When your agent uses it
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.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
4,117 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Two Files to Maintain
- Information to Gather for New Models
- Adding a New Model - Complete Workflow
- Current Model Data
- Model Name Matching
- Common Tasks
- Validation Commands
- Programmatic Model Updates
- Automation Script
- Reference Files
- Important Maintenance Notes
Files
SKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytesSKILL.mdcore14,253 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubmultimedia-backend-integrator
When your agent uses it
Reference guide for adding new media generation backends to MassGen's unified generate_media tool.
What it loads into context
Frontmatter
28 tokensAlways available to the agent
SKILL.md
1,371 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Architecture Overview
- Complete Checklist: Adding a New Backend
- Continuation Store Patterns
- Common Pitfalls
- Reference Files
Files
SKILL.mdcore5,589 bytesSKILL.mdcore5,589 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubpr-checks
When your agent uses it
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.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
2,013 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Usage
- Workflow
- Reference
Scripts executed separately
../../../scripts/validate_all_configs.py
Files
SKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytesSKILL.mdcore8,277 bytes../../../scripts/validate_all_configs.pyruns4,355 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubrelease-prep
When your agent uses it
Prepare release documentation including CHANGELOG entry, announcement text, and validation. Run before tagging a new release.
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
4,381 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Usage
- What This Skill Does
- What's Changed
- Reference Files
- Tips
Files
SKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytesSKILL.mdcore17,428 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubsemtools
When your agent uses it
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.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
4,015 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use This Skill
- Available Commands
- Core Operations
- Workflow Patterns
- Integration with file-search
- Best Practices
- Understanding Semantic Distance
- Local vs. Cloud Embeddings
- Performance Considerations
- Unix Pipeline Integration
- Limitations
- Troubleshooting
- Resources
Files
SKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytesSKILL.mdcore16,414 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubserena
When your agent uses it
This skill provides symbol-level code understanding and navigation using Language Server Protocol (LSP). Enables IDE-like capabilities for finding symbols, tracking references, and making precise code edits at the symbol level.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
3,627 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How You Can Access Serena
- Purpose
- When to Use This Skill
- Language Support
- Core Operations
- Workflow Patterns
- Integration with file-search
- Best Practices
- Supported Languages
- Limitations
- Performance Considerations
- Troubleshooting
- Resources
Files
SKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytesSKILL.mdcore15,299 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubskill-organizer
When your agent uses it
Analyze, reorganize, and catalog all installed skills. Merges overlapping skills, restructures the filesystem hierarchy, and generates a compact SKILL_REGISTRY.md routing guide for system prompts.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
923 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why This Exists
- Workflow
- Constraints
Files
SKILL.mdcore4,212 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubtextual-ui-developer
When your agent uses it
Develop and debug the MassGen Textual TUI with deterministic replay, snapshot regression tests, and targeted runtime checks.
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
1,479 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Use This Skill When
- Default Strategy
- Quick Commands
- Workflow
- Key Files
- Done Criteria
Scripts executed separately
../../../scripts/dump_timeline_from_events.py../../../scripts/render_snapshot_svgs.py
Files
SKILL.mdcore6,499 bytesSKILL.mdcore6,499 bytesSKILL.mdcore6,499 bytesSKILL.mdcore6,499 bytesSKILL.mdcore6,499 bytesSKILL.mdcore6,499 bytes../../../scripts/dump_timeline_from_events.pyruns15,878 bytes../../../scripts/render_snapshot_svgs.pyruns3,629 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubvideo-generation
When your agent uses it
Guide to video generation in MassGen. Use when creating videos from text prompts or images across Grok, Google Veo, and OpenAI Sora backends.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
2,603 tokensWhen the skill is activated
Reference documents
4,843 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Backend Comparison
- Key Parameters
- Duration Handling
- Image-to-Video
- Generation Time
- Veo 3.1: Native Audio
- Veo 3.1: Extension Constraints
- Producing Longer Videos
- Hybrid Workflow: AI Footage + Remotion Animation
- Post-Production: Always Use Remotion
- Need More Control?
Files
SKILL.mdcore10,842 bytesSKILL.mdcore10,842 bytesSKILL.mdcore10,842 bytesreferences/backends.mddoc2,997 bytesreferences/editing.mddoc5,138 bytesreferences/production.mddoc11,835 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubSkills included
- audio-generation
- backend-integrator
- evolving-skill-creator
- file-search
- image-generation
- massgen
- massgen-config-creator
- massgen-develops-massgen
- massgen-log-analyzer
- massgen-release-documenter
- model-registry-maintainer
- multimedia-backend-integrator
- pr-checks
- release-prep
- semtools
- serena
- skill-organizer
- textual-ui-developer
- video-generation
Repository facts
- License
- No license detected
- Created
- Jul 18, 2025
- Last pushed
- Jun 12, 2026
- Forks
- 180
- Open issues
- 2
- Project activity
- Slowing
Rank over the last 12 weeks
Now #802 · best #525 · down 163 in 30 days
- #786 on Nov 1
- #790 on Nov 2
- #793 on Nov 3
- #798 on Nov 4
- #800 on Nov 5
- #802 since Nov 6
39 earlier periods
- #505 on Aug 2
- #504 on Aug 5
- #505 on Aug 8
- #524 on Aug 10
- #527 on Aug 11
- #526 on Aug 12
- #527 on Aug 13
- #525 on Aug 14
- #525 on Aug 16
- #529 on Aug 17
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- #535 on Aug 20
- #549 on Aug 26
- #568 on Aug 28
- #560 on Aug 31
- #567 on Sep 3
- #549 on Sep 4
- #545 on Sep 5
- #571 on Sep 12
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- #642 from Oct 10 to Oct 11
- #662 on Oct 12
- #658 on Oct 13
- #682 on Oct 19
- #694 on Oct 20
- #680 from Oct 22 to Oct 23
- #762 on Oct 25
- #775 on Oct 28
- #778 on Oct 29
- #780 on Oct 30
- #784 on Oct 31
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 3, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 235 notes
massgen/skills/audio-generation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/audio-generation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/audio-generation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmassgen/skills/backend-integrator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 3 dangerous shell commandsin 3 files: massgen-log-analyzer/SKILL.md:1337 massgen-release-documenter/SKILL.md:167 semtools/SKILL.md:597
- 128 network referencesin 17 files: model-registry-maintainer/SKILL.md:62 scripts/sync_readme_pypi.py:33 serena/SKILL.md:29 and 14 more
- No hidden or obfuscated text
- No instruction overrides
- 12 executable scriptsin 9 files: scripts/test_hook_backends.py:1 scripts/validate_all_configs.py:1 massgen/scripts/massgen_run.sh:1 and 6 more
- 71 references to secretsin 16 files: scripts/test_hook_backends.py:87 backend-integrator/SKILL.md:132 image-generation/SKILL.md:29 and 13 more
- No requests to vote in Hot
Show all 214 signals by file
massgen/skills/audio-generation/SKILL.md
massgen/skills/audio-generation/references/advanced.md
- Network accessline 168
**https://github.com/elevenlabs/skills**
massgen/skills/audio-generation/references/music_and_sfx.md
massgen/skills/backend-integrator/SKILL.md
- Access to secretsline 132
[Credential-related source omitted] - Access to secretsline 133
[Credential-related source omitted] - Access to secretsline 135
[Credential-related source omitted] - Access to secretsline 137
[Credential-related source omitted] - Access to secretsline 155
[Credential-related source omitted] - Network accessline 156
notes="...", model_release_dates={"model-a": "2025-06"}, base_url="https://api.example.com/v1", # If applicable - Network accessline 157
model_release_dates={"model-a": "2025-06"}, base_url="https://api.example.com/v1", # If applicable ) - Network accessline 158
base_url="https://api.example.com/v1", # If applicable - Access to secretsline 190
[Credential-related source omitted] - Access to secretsline 191
[Credential-related source omitted] - Access to secretsline 193
[Credential-related source omitted] - Access to secretsline 200
[Credential-related source omitted] - Access to secretsline 202
[Credential-related source omitted] - Access to secretsline 204
[Credential-related source omitted] - Access to secretsline 208
[Credential-related source omitted] - Access to secretsline 209
[Credential-related source omitted] - Access to secretsline 233
[Credential-related source omitted] - Access to secretsline 234
[Credential-related source omitted] - Access to secretsline 244
[Credential-related source omitted]
massgen/skills/file-search/SKILL.md
massgen/skills/image-generation/SKILL.md
massgen/skills/image-generation/references/backends.md
massgen/skills/massgen-log-analyzer/SKILL.md
- Network accessline 175
Go to <https://logfire.pydantic.dev/> and create a free account. - Access to secretsline 184
[Credential-related source omitted] - Network accessline 189
1. Go to <https://logfire.pydantic.dev/> and log in - Network accessline 540
**Main Documentation:** <https://logfire.pydantic.dev/docs/> - Network accessline 572
The Logfire Live View UI (<https://logfire.pydantic.dev/>) provides: - Network accessline 613
**Logfire:** - Main docs: <https://logfire.pydantic.dev/docs/> - Network accessline 614
- Main docs: <https://logfire.pydantic.dev/docs/> - Network accessline 615
- Live View: <https://logfire.pydantic.dev/docs/guides/web-ui/live/> - Network accessline 616
- SQL Explorer: <https://logfire.pydantic.dev/docs/guides/web-ui/explore/> - Network accessline 617
- Query API: <https://logfire.pydantic.dev/docs/how-to-guides/query-api/> - Network accessline 618
- Manual tracing: <https://logfire.pydantic.dev/docs/guides/onboarding-checklist/add-manual-tracing/> - Network accessline 619
- OpenAI integration: <https://logfire.pydantic.dev/docs/integrations/llms/openai/> - Dangerous shell operationline 1337
5. For each phase block (consecutive group of tool calls with the same category), report both think (gaps between tools) and exec (tool durations) separately.
massgen/skills/massgen-release-documenter/SKILL.md
- Dangerous shell operationline 167
git rm docs/announcements/github-release-v0.1.X-1.md
massgen/skills/massgen/SKILL.md
- Network accessline 130
The wrapper includes `--web --no-browser` by default. The run starts immediately — the user can open http://localhost:8000/ anytime to monitor - Network accessline 131
immediately — the user can open http://localhost:8000/ anytime to monitor - Network accessline 163
__REVIEW_PENDING__ REVIEW_URL: http://localhost:8000/?v=2 - Network accessline 164
REVIEW_URL: http://localhost:8000/?v=2 - Network accessline 165
REVIEW_API: http://localhost:8000/api/sessions/{id}/review-response - Network accessline 180
# Approve all curl -X POST "$REVIEW_API" -H "Content-Type: application/json" \ - Network accessline 181
curl -X POST "$REVIEW_API" -H "Content-Type: application/json" \ - Network accessline 182
-d '{"approved": true, "action": "approve"}' # Approve specific files curl -X POST "$REVIEW_API" -H "Content-Type: application/json" \ - Network accessline 184
curl -X POST "$REVIEW_API" -H "Content-Type: application/json" \ - Network accessline 186
# Reject all curl -X POST "$REVIEW_API" -H "Content-Type: application/json" \ - Network accessline 187
curl -X POST "$REVIEW_API" -H "Content-Type: application/json" \
massgen/skills/massgen/references/config_setup.md
massgen/skills/massgen/references/criteria_guide.md
- Network accessline 8
Reference: https://www.anthropic.com/engineering/harness-design-long-running-apps
massgen/skills/massgen/scripts/massgen_run.sh
- Executable scriptline 1
#!/usr/bin/env bash
massgen/skills/massgen/scripts/review_watcher.sh
- Executable scriptline 1
#!/usr/bin/env bash - Network accessline 44
if [[ -f "$REVIEW_REQUEST_FILE" ]]; then review_url=$(jq -r '.url // "http://localhost:8000/?v=2"' "$REVIEW_REQUEST_FILE" 2>/dev/null) - Network accessline 45
review_url=$(jq -r '.url // "http://localhost:8000/?v=2"' "$REVIEW_REQUEST_FILE" 2>/dev/null) - Network accessline 50
files_changed=$(jq -r '.files[]? | "\(.path) (\(.status))"' "$REVIEW_REQUEST_FILE" 2>/dev/null | paste -sd', ' - || echo "") else review_url="http://localhost:8000/?v=2" - Network accessline 51
else review_url="http://localhost:8000/?v=2" review_api="" - Network accessline 52
review_url="http://localhost:8000/?v=2" - Network accessline 59
echo "__REVIEW_PENDING__" echo "REVIEW_URL: $review_url" - Network accessline 60
echo "REVIEW_URL: $review_url"
massgen/skills/model-registry-maintainer/SKILL.md
- Network accessline 62
- Format: `"YYYY-MM"` - Sources: - OpenAI: https://openai.com/index - Network accessline 63
- Sources: - OpenAI: https://openai.com/index - Anthropic: https://www.anthropic.com/news - Network accessline 64
- OpenAI: https://openai.com/index - Network accessline 65
- Anthropic: https://www.anthropic.com/news - Network accessline 66
- Google DeepMind: https://blog.google/technology/google-deepmind/ - Network accessline 67
- xAI: https://x.ai/news - Network accessline 77
- Cached input cost (if applicable) - Sources: - OpenAI: https://openai.com/api/pricing/ - Network accessline 78
- Sources: - OpenAI: https://openai.com/api/pricing/ - Anthropic: https://www.anthropic.com/pricing - Network accessline 79
- OpenAI: https://openai.com/api/pricing/ - Network accessline 80
- Anthropic: https://www.anthropic.com/pricing - Network accessline 81
- Google: https://ai.google.dev/pricing - Network accessline 82
- xAI: https://x.ai/api/pricing - Network accessline 123
url = "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json" pricing_db = requests.get(url).json() - Network accessline 124
pricing_db = requests.get(url).json() - Network accessline 349
**URL**: https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json - Network accessline 375
# Fetch latest pricing url = "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json" - Network accessline 376
url = "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json" - Network accessline 377
pricing_db = requests.get(url).json() - Network accessline 394
**Endpoint**: `https://openrouter.ai/api/v1/models` - Network accessline 407
[Credential-related source omitted] - Access to secretsline 407
[Credential-related source omitted] - Network accessline 408
response = requests.get("https://openrouter.ai/api/v1/models", headers=headers) - Network accessline 417
| Provider | Models API | Pricing in API? | Recommendation | |----------|------------|-----------------|----------------| | OpenAI | `https://api.openai.com/v1/models` | ❌ No | Use LiteLLM | - Network accessline 418
|----------|------------|-----------------|----------------| | OpenAI | `https://api.openai.com/v1/models` | ❌ No | Use LiteLLM | | Claude | No public API | ❌ No | Use LiteLLM | - Network accessline 419
| OpenAI | `https://api.openai.com/v1/models` | ❌ No | Use LiteLLM | - Network accessline 420
| Claude | No public API | ❌ No | Use LiteLLM | | Gemini | `https://generativelanguage.googleapis.com/v1beta/models` | ❌ No | API + LiteLLM | | Grok (xAI) | `https://api.x.ai/v1/models` | ❌ No | Use LiteLLM | - Network accessline 421
| Gemini | `https://generativelanguage.googleapis.com/v1beta/models` | ❌ No | API + LiteLLM | - Network accessline 422
| Grok (xAI) | `https://api.x.ai/v1/models` | ❌ No | Use LiteLLM | - Network accessline 423
| Together AI | `https://api.together.xyz/v1/models` | ✅ Yes | API directly | - Network accessline 424
| Groq | `https://api.groq.com/openai/v1/models` | ❌ No | Use LiteLLM | - Network accessline 425
| Cerebras | `https://api.cerebras.ai/v1/models` | ❌ No | Use LiteLLM | - Network accessline 426
| Fireworks | `https://api.fireworks.ai/v1/accounts/{id}/models` | ❌ No | Use LiteLLM | - Network accessline 440
# Fetch LiteLLM database url = "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json" - Network accessline 441
url = "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json" - Network accessline 442
pricing_db = requests.get(url).json() - Network accessline 470
- **Config builder**: `massgen/config_builder.py` - **Doc generator**: `docs/scripts/generate_backend_tables.py` - **LiteLLM database**: https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json - Network accessline 471
- **Doc generator**: `docs/scripts/generate_backend_tables.py` - **LiteLLM database**: https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json - **OpenRouter API**: https://openrouter.ai/docs/overview/mod - Network accessline 472
- **LiteLLM database**: https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json - Network accessline 473
- **OpenRouter API**: https://openrouter.ai/docs/overview/models
massgen/skills/multimedia-backend-integrator/SKILL.md
- Access to secretsline 48
[Credential-related source omitted]
massgen/skills/pr-checks/SKILL.md
massgen/skills/release-prep/SKILL.md
- Network accessline 367
### 🎯 [Feature Name](https://docs.massgen.ai/en/latest/path/to/docs.html) - Network accessline 371
### 📚 [Another Feature](https://docs.massgen.ai/en/latest/path/to/docs.html) - Network accessline 379
### 📖 Getting Started - [**Quick Start Guide**](https://github.com/massgen/MassGen?tab=readme-ov-file#1--installation): Try the new features today - Network accessline 380
- [**Quick Start Guide**](https://github.com/massgen/MassGen?tab=readme-ov-file#1--installation): Try the new features today - Network accessline 392
**Full Changelog**: https://github.com/massgen/MassGen/compare/v0.1.X-1...v0.1.X - Network accessline 429
- **Release notes:** https://github.com/massgen/MassGen/releases/tag/vX.X.X
massgen/skills/semtools/SKILL.md
- Access to secretsline 65
[Credential-related source omitted] - Access to secretsline 170
[Credential-related source omitted] - Access to secretsline 175
[Credential-related source omitted] - Access to secretsline 567
[Credential-related source omitted] - Dangerous shell operationline 597
rm -rf ~/.semtools/workspaces/my-workspace - Network accessline 603
- [Semtools GitHub](https://github.com/run-llama/semtools) - Network accessline 604
- [LlamaParse Documentation](https://docs.llamaindex.ai/en/stable/llama_cloud/llama_parse/) - Network accessline 605
- [model2vec Embeddings](https://github.com/MinishLab/model2vec) - Network accessline 606
- [Semantic Search Concepts](https://en.wikipedia.org/wiki/Semantic_search)
massgen/skills/serena/SKILL.md
- Network accessline 29
execute_command("uvx --from git+https://github.com/oraios/serena serena <command>") - Network accessline 101
uvx --from git+https://github.com/oraios/serena serena <command> - Network accessline 105
# Find a class definition execute_command("uvx --from git+https://github.com/oraios/serena serena find_symbol --name 'UserService' --type class") - Network accessline 106
execute_command("uvx --from git+https://github.com/oraios/serena serena find_symbol --name 'UserService' --type class") - Network accessline 108
# Find a function definition execute_command("uvx --from git+https://github.com/oraios/serena serena find_symbol --name 'authenticate' --type function") - Network accessline 109
execute_command("uvx --from git+https://github.com/oraios/serena serena find_symbol --name 'authenticate' --type function") - Network accessline 111
# Find a variable definition execute_command("uvx --from git+https://github.com/oraios/serena serena find_symbol --name 'API_KEY' --type variable") - Network accessline 112
[Credential-related source omitted] - Access to secretsline 112
[Credential-related source omitted] - Access to secretsline 141
[Credential-related source omitted] - Network accessline 378
For the complete list and setup instructions, see [Serena language support docs](https://oraios.github.io/serena/languages). - Network accessline 496
- [Serena GitHub](https://github.com/oraios/serena) - Network accessline 497
- [Serena Documentation](https://oraios.github.io/serena) - Network accessline 498
- [LSP Specification](https://microsoft.github.io/language-server-protocol/) - Network accessline 499
- [Solid-LSP (Serena's foundation)](https://github.com/oraios/solid-lsp)
massgen/skills/skill-organizer/SKILL.md
- Network accessline 19
Reference: [Scaling LLM Agents with Skill Libraries](https://arxiv.org/pdf/2601.04748v2)
massgen/skills/video-generation/SKILL.md
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Load the skill to get detailed rules and code examples: - **Local path** (if installed via quickstart): `.agent/skills/remotion/SKILL.md` - **Remote repo** (if not installed): https://github.com/remotion-dev/skills - Network accessline 153
- **Remote repo** (if not installed): https://github.com/remotion-dev/skills
massgen/skills/video-generation/references/backends.md
massgen/skills/video-generation/references/production.md
scripts/dump_timeline_from_events.py
scripts/precommit_validate_configs.py
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#!/usr/bin/env python3
scripts/render_snapshot_svgs.py
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#!/usr/bin/env python
scripts/sync_readme_pypi.py
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( "assets/logo.png", "https://raw.githubusercontent.com/Leezekun/MassGen/main/assets/logo.png", - Network accessline 34
"assets/logo.png", "https://raw.githubusercontent.com/Leezekun/MassGen/main/assets/logo.png", ), - Network accessline 35
"https://raw.githubusercontent.com/Leezekun/MassGen/main/assets/logo.png", - Network accessline 37
( "assets/logo-dark.png", "https://raw.githubusercontent.com/Leezekun/MassGen/main/assets/logo-dark.png", - Network accessline 38
"assets/logo-dark.png", "https://raw.githubusercontent.com/Leezekun/MassGen/main/assets/logo-dark.png", ), - Network accessline 39
"https://raw.githubusercontent.com/Leezekun/MassGen/main/assets/logo-dark.png", - Network accessline 42
( "assets/massgen-demo.gif", "https://raw.githubusercontent.com/Leezekun/MassGen/main/assets/thumbnail.png", - Network accessline 43
"assets/massgen-demo.gif", "https://raw.githubusercontent.com/Leezekun/MassGen/main/assets/thumbnail.png", ), - Network accessline 44
"https://raw.githubusercontent.com/Leezekun/MassGen/main/assets/thumbnail.png", - Network accessline 46
( "docs/source/_static/images/readme.gif", "https://raw.githubusercontent.com/Leezekun/MassGen/main/docs/source/_static/images/thumbnail.png", - Network accessline 47
"docs/source/_static/images/readme.gif", "https://raw.githubusercontent.com/Leezekun/MassGen/main/docs/source/_static/images/thumbnail.png", ), - Network accessline 48
"https://raw.githubusercontent.com/Leezekun/MassGen/main/docs/source/_static/images/thumbnail.png", - Network accessline 61
[](https://pypi.org/project/massgen/) - Network accessline 62
[](https://docs.massgen.ai) - Network accessline 63
[](https://github.com/Leezekun/MassGen) - Network accessline 64
[](https://www.python.org/downloads/) - Network accessline 65
[](LICENSE) - Network accessline 71
[](https://docs.massgen.ai) - Network accessline 72
[](https://github.com/Leezekun/MassGen) - Network accessline 73
[](https://www.python.org/downloads/) - Network accessline 74
[](LICENSE)
scripts/test_hook_backends.py
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#!/usr/bin/env python3 - Executable scriptline 1
Executable file; content unavailable - Executable scriptline 1
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"openrouter": { "type": "chatcompletion", "base_url": "https://openrouter.ai/api/v1", - Network accessline 84
"type": "chatcompletion", "base_url": "https://openrouter.ai/api/v1", "model": "openai/gpt-4o-mini", - Network accessline 85
"base_url": "https://openrouter.ai/api/v1", - Access to secretsline 87
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[Credential-related source omitted]
scripts/test_native_tools_sandbox.py
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
No combined signals at this commit.
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Path CLAUDE.md | .claude/skills/<skill-name>/ |
| Codex | Native | Manifest AGENTS.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md massgen/skills/audio-generation/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md massgen/skills/audio-generation/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md massgen/skills/audio-generation/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md massgen/skills/audio-generation/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
Explore alternatives and comparisons
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