debug-zoom

Debug a broken Zoom integration by isolating the failure point and routing into the right Zoom references.

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/debug-zoom

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Debug Zoom auth, API, webhook, SDK, or MCP issues without wandering through the entire docs set.

Usage

text

/debug-zoom $ARGUMENTS

Workflow

Identify the failing layer: auth, API request, webhook, SDK init, media/session behavior, or MCP transport.
Ask for the minimum missing evidence: exact error, platform, request/response, event payload, or code path.
Produce 2-4 plausible causes ranked by likelihood.
Route to the most relevant deep references in skills/.
Give a short verification plan so the user can confirm the fix.

Output

Most likely failure layer
Ranked hypotheses
Targeted fix steps
Verification checklist
Relevant skill links

Related Skills

dallo stesso repository

Altri Skills

Tutti gli Skills

anthropics

Ufficiale

documentation

Write and maintain technical documentation. Trigger with "write docs for", "document this", "create a README", "write a runbook", "onboarding guide", or when the user needs help with any form of technical writing — API docs, architecture docs, or operational runbooks.

installazioni: 3
GitHub Stars: 25,3K
Aggiornato: 21 set

data-visualization

Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

installazioni: 2
GitHub Stars: 25,3K
Aggiornato: 21 set

debug

Structured debugging session — reproduce, isolate, diagnose, and fix. Trigger with an error message or stack trace, "this works in staging but not prod", "something broke after the deploy", or when behavior diverges from expected and the cause isn't obvious.

installazioni: 2
GitHub Stars: 25,3K
Aggiornato: 21 set

research-synthesis

Synthesize user research into themes, insights, and recommendations. Use when you have interview transcripts, survey results, usability test notes, support tickets, or NPS responses that need to be distilled into patterns, user segments, and prioritized next steps.

installazioni: 2
GitHub Stars: 25,3K
Aggiornato: 21 set

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