agentify-project

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Make a project ready for AI agentic engineering by converging it toward a canonical agent-neutral structure — a lean AGENTS.md index with progressive disclosure, shared skills and gitignore hygiene. Re-runnable, and doubles as an audit.

AI & Automation 46 stars 6 forks Updated today MIT

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# Agentify project Converge a project — greenfield or half-way-there — toward the canonical agent-neutral structure specified in [references/target-structure.md](references/target-structure.md) (read it before the audit), so a team of developers using different agents shares one lean, progressively disclosed setup. Re-running converges further and reports drift. Invocation: `/agentify-project [audit] [path]` - `audit` — run step 1 only, print the findings and what a full run would change, modify nothing; the periodic drift check. - `path` — target a subdirectory instead of the repo root (see Monorepos). ## Principles - **Ask, don't enforce**: prefer asking — all options shown, one recommended — over enforcing a choice, except for obvious easy wins (e.g. clear progressive-disclosure moves). Questions answerable from the codebase go to the codebase. - One approval gate per destructive/bulk change; show diffs or proposals before applying; nothing happens behind the user's back. Never commit — suggest reviewing the diff and leave committing to the user. - Generic: behavior is driven by [references/agent-matrix.md](references/agent-matrix.md) — read it whenever agent detection or an agent's specifics are needed. One documented exception, the **Claude carve-out**: a team with no Claude users at all is rare, so Claude wiring (the CLAUDE.md pointer, the `.claude/skills/` links, the Claude gitignore entries) is applied unconditionally, never detection-gated. ##...

Details

Author
eai-org
Repository
eai-org/agent-toolkit
Created
3 months ago
Last Updated
today
Language
Shell
License
MIT

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