Names the domain (coding-agent work sessions) and some actions (intent capture, drift monitoring), but the actions are somewhat abstract rather than concrete. 'Frames' and 'explicit intent capture' are process-oriented rather than describing specific concrete operations like 'creates a session plan' or 'logs scope boundaries'.

Clearly answers both what ('Frames coding-agent work sessions with explicit intent capture and drift monitoring') and when ('Use when a session transitions from planning/Q&A to implementation for coding tasks, refactors, feature builds, bug fixes, or other multi-step execution where scope drift is a risk'). The 'Use when' clause is explicit and detailed.

Good coverage of natural terms users would encounter: 'coding tasks', 'refactors', 'feature builds', 'bug fixes', 'multi-step execution', 'scope drift', 'planning', 'implementation'. These are terms a user or Claude would naturally associate with needing session framing.

This occupies a clear niche — session framing and drift monitoring for coding agents — that is unlikely to conflict with typical coding, debugging, or planning skills. The focus on session transitions and scope drift management is distinctive.

The skill is mostly efficient but includes some unnecessary explanation, particularly the 'Relationship with context-surfing' section which over-explains the distinction between scope drift and context quality drift. The 'Purpose' section also restates what the workflow already makes clear. However, most content earns its place.

The skill provides concrete, copy-paste-ready structured blocks for each phase (Intent Frame, Intent Check, Intent Resolution) with exact field names and formats. The trigger cues, drift examples, and multi-intent rules are specific and directly executable. The CLI detection command is also concrete.

The three-phase workflow (Capture → Monitor → Resolution) is clearly sequenced with explicit validation checkpoints: user confirmation before proceeding in Phase 1, drift detection criteria in Phase 2, and resolution records in Phase 3. The multi-intent rules provide clear sequencing for complex sessions, and the precedence rule with context-surfing handles edge cases.

The content is well-structured with clear headers and sections, but the interoperability section is quite lengthy and inline. The relationship explanation with context-surfing and the full skill pipeline could be split into a separate reference file. For a skill of this length (~150 lines), some content would benefit from being externalized.