Open source alternatives to team-composition-patterns
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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by shareAI-lab - A really interesting analysis of how coding agents like Claude
About team-composition-patterns
team-composition-patterns
Design optimal agent team compositions
team-composition-patterns is an agent skill from the wshobson/agents collection for designing multi-agent teams in Claude Code's Agent Teams feature. It gives best practices for deciding how many teammates to start for a task, using sizing heuristics, choosing between preset team configurations, and selecting the right agent type, the subagent_type, for each role. It also covers configuring how teammates are displayed, whether in tmux, in iTerm2 or in process, and building custom team compositions for workflows that the presets do not fit. The main point is that more agents are not always better: a team adds coordination cost, so the size should match how much independent work the task contains. The skill applies when deciding how many teammates to spawn, choosing among presets, matching agent types to roles, setting display modes, and designing a non-standard team. The sizing advice is a starting point, and the results should be judged on the task's actual output, since the right team for one kind of work can be too big for another. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 9.4K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- wshobson
- Category
- AI Skills
- Website
- github.com/wshobson/agents/team-composition-patterns