# Add to your Claude Code skills
git clone https://github.com/udecode/dotaiLast scanned: 4/30/2026
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"status": "PASSED",
"scannedAt": "2026-04-30T06:29:47.958Z",
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}dotai is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by udecode. Skills for agents. It has 1,153 GitHub stars.
Yes. dotai passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/udecode/dotai" and add it to your Claude Code skills directory (see the Installation section above).
dotai is primarily written in JavaScript. It is open-source under udecode on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh dotai against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
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Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Shared skills for coding agents.
Skills are the main routing layer. This repo is the canonical source for reusable udecode workflows; downstream repos should link to these skills instead of copying long SKILL.md files around.
autogoal: durable goal lifecycle and seeded plan templates.
get_goal, create_goal, update_goal); optional orchestrator when $orchestrator on is active.agent-native-reviewer: review whether agents can discover, perform, and
verify the same meaningful actions as maintainers/users across skills,
prompts, commands, generated mirrors, repo workflows, and product actions.
autogoal, sync-skills, sync-vision,
resolve-pr-feedback, hard-cut, tdd, and diagnosing-bugs for routed
follow-up work.hard-cut: delete-first repo cleanup workflow.linear-backlog: execute a scoped Linear queue as maximal safe parallel
batches without asking for each next batch.
orchestrator, autogoal, repo-local task, Linear read/write
tools, Git and PR tooling.orchestrator: route implementation through durable child threads and
disposable worktrees targeting main.
resolve-pr-feedback: GitHub PR review feedback closure with source-backed
triage, proof, replies, and thread resolution.
gh, jq; optional project-owned docs/plans/templates/resolve-pr-feedback.md.sync-vision: keep project root VISION.md current from changed
human/agent inputs.
autogoal; optional project-owned docs/plans/templates/sync-vision.md.tdd: test-first development loop.unslop: draft, audit, and edit prose without AI-writing tells while
preserving facts and voice.
video-transcripts: generate XML transcripts for tracker video evidence.
GEMINI_API_KEY or GOOGLE_API_KEY; curl, jq, file, and
ffmpeg; optional gh for private GitHub attachments.walkthrough: explain completed UI or rendered-output changes with concise
annotated visuals from real final-state artifacts.
imagegen or another safe image editor for annotations.Install with the skills CLI:
npx skills add udecode/dotai
Run after edits:
scripts/validate-skills