From image-annotation
One-shot orchestrator — take a screenshot and immediately apply annotations. Combines the screenshot and annotate skills for the common "grab this region and draw an arrow at it" workflow.
How this skill is triggered — by the user, by Claude, or both
Slash command
/image-annotation:capture-and-annotateThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Compose `screenshot` + `annotate` into one step. Use when the user says things like "screenshot this and circle X", "grab the active window and add a numbered marker at 200,300", or "capture a region and label it 'Step 1'".
Compose screenshot + annotate into one step. Use when the user says things like "screenshot this and circle X", "grab the active window and add a numbered marker at 200,300", or "capture a region and label it 'Step 1'".
TMP=/tmp/cap-$RANDOM.png
bash "$CLAUDE_PLUGIN_ROOT/scripts/screenshot.sh" "$MODE" "$TMP"
python3 "$CLAUDE_PLUGIN_ROOT/scripts/annotate.py" \
--input "$TMP" --spec "$SPEC" --output "$FINAL"
rm "$TMP").If the user doesn't give a final path, write to ~/Pictures/Screenshots/<ISO-timestamp>-annotated.png. The captured original is the temp file, so deleting it after annotation is fine — there's no "original" to preserve. If the user does want the unannotated capture saved too, run the screenshot script first to a real path, then run annotate against it (which will produce a sibling annotated/ folder, leaving the original untouched).
User coordinates are in the captured image's coordinate space, not the screen's. For region captures the user can't know exact pixel coordinates in advance — capture first, report the resulting image dimensions, then ask for coordinates. Or accept relative descriptors (center, top-left, bottom-right) and translate to pixels after capture.
If annotation fails, keep the temp file and report its path so the user can retry.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.
npx claudepluginhub danielrosehill/claude-code-plugins --plugin image-annotation