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Analyze phone call observability data, detect problems, track them across calls, and recommend systematic repairs.
Passed 16 of 19 test cases with the skill, and 6 of 19 without it.
and 8 more in the full report
11 fixed7 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
During a quiet pause in the conversation, the call assistant suddenly triggered a weather lookup tool even though the user made no request. How is this issue labeled?
| Checked | Without skill | With skill |
|---|---|---|
| Classifies tool execution without a matching user prompt as an auto-invocation error | Missed | Passed |
The instructions your model reads when the skill loads.
Analyze phone call observability data, detect problems, track them across calls, and recommend systematic repairs.
python3 $CLAUDE_CONFIG_DIR/skills/call-diagnostics/scripts/diagnose.py # last call
python3 $CLAUDE_CONFIG_DIR/skills/call-diagnostics/scripts/diagnose.py --all # all calls + repair recommendations
python3 $CLAUDE_CONFIG_DIR/skills/call-diagnostics/scripts/diagnose.py -t # show timeline
python3 $CLAUDE_CONFIG_DIR/skills/call-diagnostics/scripts/diagnose.py -v # verbose (show detail)
python3 $CLAUDE_CONFIG_DIR/skills/call-diagnostics/scripts/diagnose.py --all --tracker # generate HTML tracker + open
--all to see persistent patterns and repair recommendationsALWAYS follow this workflow. Never skip steps.
--all --tracker to see the full picture across all callstest cases passed, vs 6 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.