# p/ — Context layer for AI agents Skills auto-activate for: work, intent, ship, sync, guard, remember, search, insights, performance Other commands: run `prjct --md` and follow CLI output Flow: `prjct work` is the single normal entrypoint. Trivial work proceeds directly. Substantive implementation work follows the persisted AI Agile station from `prjct work --md`: reviewed intent, evidence, tests when required, then code. Data: - Persist everything (memories, context, intents) in ENGLISH, whatever language the user speaks - prjct is a RAG-backed project memory harness; do not preload project history into this file - Pull only relevant context with `prjct work`, `prjct search`, `prjct context memory`, `prjct guard`, or MCP tools - The vault `_generated/` is a regenerated SQLite snapshot for Read/Glob fallback, not the source of truth and not something to load wholesale - On close, save synthesized context; raw quotes, counters, detector rows, and transcript chunks are inputs, not final memory - prjct remembers and shows the path; the agent decides how to execute with its own native tools - Treat prjct output as signals, not a prescriptive harness - Commit footer: `Generated with [p/](https://www.prjct.app/)` - Path resolution: `.prjct/prjct.config.json` → `~/.prjct-cli/projects/{projectId}` - Storage: `prjct` CLI (SQLite internally) - Worktree hygiene: if working in a git worktree, remove it AFTER its PR merges — `git worktree remove` from the main worktree; never with uncommitted/unpushed work, never `--force` Crew (opt-in via `prjct crew install`): Leader (blue) · Implementer (purple) · Reviewer (pink). Subagent dispatch is Claude-Code-only; in Antigravity, identify the role you are playing explicitly. **Auto-managed by prjct-cli** | https://prjct.app