maggy

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Maggy is a local AI engineering command center. AI-prioritized inbox across issue trackers (GitHub Issues/Asana), one-click TDD execute with iCPG context enrichment, daily competitor intelligence briefing.

Code & Development 694 stars 57 forks Updated today MIT

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Skill Content

# Maggy Skill **Maggy** is a generic, local AI engineering command center. Install once, point it at your team's issue tracker and codebases, and get: - **AI-prioritized inbox** — ranks open issues by urgency, OKR alignment, and recency - **One-click Execute** — spawns Claude Code locally with iCPG context injected - **Competitor intelligence** — daily AI briefing on your competitive landscape - **No hardcoding** — works for any team, any stack, any issue tracker ### ⚠️ Execute permission model (important) Execute currently runs `claude -p --dangerously-skip-permissions` so the TDD pipeline isn't blocked waiting on approval prompts (subprocess has no terminal). That flag **grants Claude full permission to write/edit files and run shell commands** inside the target codebase, and the prompt it receives includes content from the issue tracker (which any team member can author). **Hardening already in place:** - `working_dir` is validated against the list of codebase roots in `~/.maggy/config.yaml` — Claude can't be pointed at arbitrary filesystem paths. - Only tickets from your configured trackers reach Execute; no public-internet input flows into the prompt. **Roadmap:** move the unconditional flag behind per-codebase config (`auto_approve: true|false`) so privileged execution becomes opt-in. Until then, treat Execute like `git pull && make` on any ticket you push the button for — only run it on repos you own, against tickets from authors you trust. ``` ┌────────────...

Details

Author
alinaqi
Repository
alinaqi/maggy
Created
5 months ago
Last Updated
today
Language
Python
License
MIT

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