Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A lean, highly actionable reference with real bundle integration and clear sectioning. The main gap is workflow clarity: the grounding decision process is implied rather than laid out as an explicit sequenced procedure with checkpoints.
Suggestions
Add a short numbered grounding procedure (1. name the surface; 2. look up its authoritative source in the hierarchy; 3. on disagreement, decide the winner with a stated rationale; 4. verify against running code/tests before acting) to make the workflow explicit.
Add an explicit verify/checkpoint step (e.g. 'confirm what the running entrypoint actually imports before trusting a doc over code') as a validation gate before acting.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense, Grida-specific information Claude would not already know, with no padding about generic search concepts; the opening briefly restates the skill's own framing but otherwise every token earns its place. | 3 / 3 |
Actionability | Provides copy-paste-ready commands (`rg PATTERN editor/grida-canvas packages`, `rg PATTERN -g '!**/docs/_history/**'`, `uv run $S tags/find/show`) plus concrete file paths, URLs, and a branch name, meeting the 'fully executable' anchor. | 3 / 3 |
Workflow Clarity | The decision process (name surface → trust authority → reconcile disagreement → decide winner with rationale) is present but not sequenced as explicit steps with validation checkpoints, so it sits between the 'steps listed' and 'clear sequence with checkpoints' anchors. | 2 / 3 |
Progressive Disclosure | Well-organized into focused sections with a real one-level-deep reference (scripts/docsearch.py, confirmed present) signaled inline with usage examples; content is appropriately kept inline for a focused skill. | 3 / 3 |
Total | 11 / 12 Passed |