polyai/adk/poly-adk-conversations
Claude Code and agent skill by polyai/adk
- community
Checking that the SKILL.md file is still in the repository.
This skill should be used when the user wants to "see what happened on a call", "review real conversations", "download a call recording", "debug a production call", or "add logging/metrics" to a PolyAI agent. Covers poly conversations and instrumenting functions with conv.log and metrics. Part of the PolyAI ADK skills suite. Do NOT use for simulated test conversations (use poly-adk-testing).
Install
npx vskill@latest install polyai/adk/poly-adk-conversationsSKILL.md
Reviewing Real Conversations
Load poly-adk-workflow first for the build loop this feeds back into. Once an agent handles real calls, the question becomes "what happened on that call?" — and answering it depends on instrumentation added while building. Logs and metrics are not available retroactively.
Inspecting conversations
getincludes channel, language, duration, handoff, tags, PolyScore, summary, and every turn — use--jsonwhen analyzing programmatically.get-audiodownloads the WAV for a voice call;--direction user|agent|combinedpicks the track,--redactedfetches the redacted version.- The CLI reads individual conversations. Aggregate views — containment, CSAT, handle time, flagged transcripts — live in Agent Studio, not the CLI.
Treat what you find as input to development: a surprising real conversation is the raw material for the next test_suite/ case (see poly-adk-testing). What callers actually say is reliably different from what you imagined.
Instrumenting functions
See poly docs functions for the full conv.log and metrics APIs.
Logging — record meaningful outcomes, not every step:
Log around the things that can fail — API calls, validation, any branch you'd want to explain later. Never swallow an external failure silently: a bare except with no log turns a broken integration into a mysteriously unhelpful agent with nothing in the transcript to explain it.
Metrics — count outcomes you'll aggregate across calls (flow completions, handoffs fired, API fallbacks). The common mistake is inflation: a metric emitted in a loop or on every turn counts nothing useful. Use write_once=True for once-per-conversation events, and emit on the outcome you actually want to count.
The test for both: would this line help answer a question you can imagine being asked — "how often do callers abandon at payment?", "did that transfer actually fire?" If not, it's noise.
When debugging a specific call
poly conversations get <id>— read the transcript and logs turn by turn.- If the wording is right but the audio is wrong, it's a channel-settings problem, not a prompt problem: mishearing →
voice/speech_recognition/(keyphrase boosting, transcript corrections); mispronunciation →voice/response_control/(pronunciations). Seepoly docs speech_recognition response_control. - Reproduce with
poly chat(simulate SIP headers, variant, language — seepoly-adk-testing), then encode the fix's verification as a test case.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/poly-adk-conversations/SKILL.md
Popularity
- Repository stars
- 83
- Repository forks
- 20
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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