Open source alternatives to team-composition-analysis
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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Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About team-composition-analysis
team-composition-analysis
Design optimal team structures, hiring plans, compensation strategies
team-composition-analysis is an agent skill from the wshobson/agents collection for designing the team of an early-stage startup, from pre-seed through Series A. It covers the team structure expected at each stage, with pre-seed as the first, where a small group of two to five people covers product, engineering and business work, often with contractors for design and marketing. It also covers hiring plans that are tied to revenue milestones and budget constraints, so each role is hired when the company can carry it, compensation strategies benchmarked against the market, and equity allocation for founders, early employees and advisors. The skill's overview frames the task as building the right team at the right time with appropriate pay and ownership, rather than hiring ahead of the revenue that will fund it. It applies when planning the team structure for a stage, sequencing hires role by role, setting compensation bands, and allocating equity. These decisions have legal and tax consequences, and the figures depend on the company's location and the market, so the skill's output is a planning draft. Equity grants and employment terms should be set with a qualified lawyer and an accountant before they are offered. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 10.1K 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-analysis