# p/ — Context layer for AI agents Skills auto-activate for: task, done, pause, resume, ship, next, sync, bug, workflow, enrich, linear, jira, plan, velocity, tokens Other commands: run `prjct --md` and follow CLI output Flow: idea → roadmap → next → task → done → ship → next (cycle until plan complete) Data: - Persist everything (memories, captures, specs) in ENGLISH, whatever language the user speaks - prjct runs → LLM generates relevant data → prjct stores it → LLM requests it from prjct → LLM uses it - 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 Gemini, identify the role you are playing explicitly. **Auto-managed by prjct-cli** | https://prjct.app