Provides a structured workflow and CLI (itt) for recording semantic history: a single intent (the goal), snaps (milestones), and decisions (long-lived constraints). It ensures agent work is summarized in durable, queryable objects that survive context loss.
itt (init, inspect, intent/snap/decision commands) and examples for creating intents, snaps and marking done..intent/ layout and recovery commands.what + why), snap boundary judgments, decision hygiene, and session recovery (itt inspect).Suited for code-capable assistants and CLIs that can run itt and parse JSON output; useful for agents that must maintain long-running project memory or handoffs.
Intent CLI is a semantic recording tool for agent sessions, using an `itt` CLI to capture goals (intents), milestones (snaps), and long-lived constraints (decisions). The SKILL.md is thorough with good examples and command reference. Scripts include a static site builder, a showcase syncer, and platform-specific install scripts. build_pages.py and install.sh failed in test env due to missing web assets and PEP 668 restrictions respectively — both expected in isolation. update_showcase.py ran cleanly. No security concerns; install scripts fetch from a hardcoded GitHub repo without checksum verification.
Well-structured skill for semantic history tracking. SKILL.md is comprehensive with clear triggers and command reference. Scripts are utility/infrastructure (site building, installation) rather than core skill logic — the main functionality is the `itt` CLI which is installed separately. No security issues found.