Open source alternatives to show-me-your-work
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 show-me-your-work
show-me-your-work
Keep a reviewable decision trail
show-me-your-work is an agent skill from Cursor's plugins collection that keeps a reviewable decision trail for long-running or unattended work. It records a single canonical log as a tab-separated file with one row per decision, so that someone who was not present can see what was chosen, why, what proves it, and what came of it. Each row has a timestamp, the phase or workstream, a one-line statement of what was done, the reason in plain words, a pointer to the evidence, and the result. The evidence column is a link or path, such as a commit hash, a pull request number, a file and line, or the path to a trace or screenshot, and never a paragraph. The result records the outcome, for example that tests are green, a change was reverted, a pixel difference is zero, or the result was inconclusive. The skill says to start a clean log by copying a template header row, and it asks that any principle behind a decision be stated plainly rather than as a jargon tag. The log is local by default. The skill is useful for agents that run for a long time without supervision, because the human who returns later can audit the choices quickly and re-run the evidence. It is listed on skills.sh, where the page shows install counts and GitHub stars for the Cursor plugins repository. Install it with npx skills add https://github.com/cursor/plugins --skill show-me-your-work.
- Price
- Free
- Made by
- cursor
- Category
- AI Skills
- Website
- github.com/cursor/plugins/show-me-your-work